Updated Scilab2C

232 files changed, 26928 insertions, 0 deletions

diff --git a/src/c/statisticsFunctions/Makefile.am b/src/c/statisticsFunctions/Makefile.am
new file mode 100644
index 0000000..e87f386
--- /dev/null
+++ b/src/c/statisticsFunctions/Makefile.am
@@ -0,0 +1,21 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+SUBDIRS=	mean \
+		sum\
+		variance\
+		prod\
+		min\
+		max\
+		meanf\
+		variancef\
+		stdevf
diff --git a/src/c/statisticsFunctions/Makefile.in b/src/c/statisticsFunctions/Makefile.in
new file mode 100644
index 0000000..6df9918
--- /dev/null
+++ b/src/c/statisticsFunctions/Makefile.in
@@ -0,0 +1,569 @@
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+		max\
+		meanf\
+		variancef\
+		stdevf
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+.PHONY: $(RECURSIVE_CLEAN_TARGETS) $(RECURSIVE_TARGETS) CTAGS GTAGS \
+	all all-am check check-am clean clean-generic clean-libtool \
+	ctags ctags-recursive distclean distclean-generic \
+	distclean-libtool distclean-tags distdir dvi dvi-am html \
+	html-am info info-am install install-am install-data \
+	install-data-am install-dvi install-dvi-am install-exec \
+	install-exec-am install-html install-html-am install-info \
+	install-info-am install-man install-pdf install-pdf-am \
+	install-ps install-ps-am install-strip installcheck \
+	installcheck-am installdirs installdirs-am maintainer-clean \
+	maintainer-clean-generic mostlyclean mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags tags-recursive \
+	uninstall uninstall-am
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/includes/dynlib_statisticsfunctions.h b/src/c/statisticsFunctions/includes/dynlib_statisticsfunctions.h
new file mode 100644
index 0000000..b6dab50
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/dynlib_statisticsfunctions.h
@@ -0,0 +1,26 @@
+/*

+*  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab

+*  Copyright (C) 2009 - DIGITEO - Allan CORNET

+*

+*  This file must be used under the terms of the CeCILL.

+*  This source file is licensed as described in the file COPYING, which

+*  you should have received as part of this distribution.  The terms

+*  are also available at

+*  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt

+*

+*/

+

+#ifndef __DYNLIB_STATISTICSFUNCTIONS_H__

+#define __DYNLIB_STATISTICSFUNCTIONS_H__

+

+#if defined(_MSC_VER) && defined(_USRDLL)

+	#if STATISTICSFUNCTIONS_EXPORTS

+		#define EXTERN_STATFUNC __declspec (dllexport)

+	#else

+		#define EXTERN_STATFUNC __declspec (dllimport)

+	#endif

+#else

+	#define EXTERN_STATFUNC 

+#endif

+

+#endif /* __DYNLIB_STATISTICSFUNCTIONS_H__ */

diff --git a/src/c/statisticsFunctions/includes/mean.h b/src/c/statisticsFunctions/includes/mean.h
new file mode 100644
index 0000000..d87c4ca
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/mean.h
@@ -0,0 +1,99 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __MEAN_H__
+#define __MEAN_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "division.h"
+#include "addition.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+/*
+** \brief Mean of a scalar element, just returns it
+*/
+#define		smeans(in)			in
+#define		srowmeans(in)			in
+#define		scolumnmeans(in)		in
+#define		smatlabmeans(in)		in
+
+/*
+** \brief Mean of a scalar element, just returns it
+*/
+#define		dmeans(in)			in
+#define		drowmeans(in)			in
+#define		dcolumnmeans(in)		in
+#define		dmatlabmeans(in)		in
+
+/*
+** \brief Mean of a scalar element, just returns it
+*/
+#define		cmeans(in)			in
+#define		crowmeans(in)			in
+#define		ccolumnmeans(in)		in
+#define		cmatlabmeans(in)		in
+
+/*
+** \brief Mean of a scalar element, just returns it
+*/
+#define		zmeans(in)			in
+#define		zrowmeans(in)			in
+#define		zcolumnmeans(in)		in
+#define		zmatlabmeans(in)		in
+
+/*
+** \brief Mean of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the mean.
+*/
+EXTERN_STATFUNC float		smeana(float *in, int size);
+EXTERN_STATFUNC void		srowmeana(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnmeana(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Mean of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the mean.
+*/
+EXTERN_STATFUNC double		dmeana(double *in, int size);
+EXTERN_STATFUNC void		drowmeana(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnmeana(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Mean of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the mean.
+*/
+EXTERN_STATFUNC floatComplex	cmeana(floatComplex *in, int size);
+EXTERN_STATFUNC void		crowmeana(floatComplex *in, int lines, int columns, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnmeana(floatComplex *in, int lines, int columns, floatComplex* out);
+
+/*
+** \brief Mean of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the mean.
+*/
+EXTERN_STATFUNC doubleComplex	zmeana(doubleComplex *in, int size);
+EXTERN_STATFUNC void		zrowmeana(doubleComplex *in, int lines, int columns, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnmeana(doubleComplex *in, int lines, int columns, doubleComplex* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+#endif /* !__MEAN_H__ */
diff --git a/src/c/statisticsFunctions/includes/meanf.h b/src/c/statisticsFunctions/includes/meanf.h
new file mode 100644
index 0000000..c0d687c
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/meanf.h
@@ -0,0 +1,106 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2009 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __MEANF_H__
+#define __MEANF_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "division.h"
+#include "addition.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+/*
+** \brief Meanf of a scalar element, just returns it
+*/
+#define		smeanfs(in1,in2)			in1
+#define		srowmeanfs(in1,in2)			in1
+#define		scolumnmeanfs(in1,in2)			in1
+#define		smatlabmeanfs(in1,in2)			in1
+
+/*
+** \brief Meanf of a scalar element, just returns it
+*/
+#define		dmeanfs(in1,in2)			in1
+#define		drowmeanfs(in1,in2)			in1
+#define		dcolumnmeanfs(in1,in2)			in1
+#define		dmatlabmeanfs(in1,in2)			in1
+
+/*
+** \brief Meanf of a scalar element, just returns it
+*/
+#define		cmeanfs(in1,in2)			in1
+#define		crowmeanfs(in1,in2)			in1
+#define		ccolumnmeanfs(in1,in2)			in1
+#define		cmatlabmeanfs(in1,in2)			in1
+
+/*
+** \brief Meanf of a scalar element, just returns it
+*/
+#define		zmeanfs(in1,in2)			in1
+#define		zrowmeanfs(in1,in2)			in1
+#define		zcolumnmeanfs(in1,in2)			in1
+#define		zmatlabmeanfs(in1,in2)			in1
+
+/*
+** \brief Meanf of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the meanf.
+*/
+EXTERN_STATFUNC float		smeanfa(float *in1, int size, float *in2);
+EXTERN_STATFUNC void		srowmeanfa(float *in1, int lines, int columns, float *in2, float* out);
+EXTERN_STATFUNC void		scolumnmeanfa(float *in1, int lines, int columns, float *in2, float* out);
+
+/*
+** \brief Meanf of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the meanf.
+*/
+EXTERN_STATFUNC double		dmeanfa(double *in1, int size, double *in2);
+EXTERN_STATFUNC void		drowmeanfa(double *in1, int lines, int columns, double *in2, double* out);
+EXTERN_STATFUNC void		dcolumnmeanfa(double *in1, int lines, int columns, double *in2, double* out);
+
+/*
+** \brief Meanf of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the meanf.
+*/
+EXTERN_STATFUNC floatComplex	cmeanfa(floatComplex *in1, int size, floatComplex *in2);
+EXTERN_STATFUNC void		crowmeanfa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnmeanfa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+
+/*
+** \brief Meanf of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the meanf.
+*/
+EXTERN_STATFUNC doubleComplex	zmeanfa(doubleComplex *in1, int size, doubleComplex *in2);
+EXTERN_STATFUNC void		zrowmeanfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnmeanfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+
+/* for convenience with interface */
+doubleComplex zmeanfzd (doubleComplex* in1 ,int lines , int columns , double* in2);
+doubleComplex zmeanfdz (double* in1 ,int lines , int columns , doubleComplex* in2);
+
+floatComplex cmeanfcs (floatComplex* in1 ,int lines , int columns , float* in2);
+floatComplex cmeanfsc (float* in1 ,int lines , int columns , floatComplex* in2);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+#endif /* !__MEAN_H__ */
diff --git a/src/c/statisticsFunctions/includes/prod.h b/src/c/statisticsFunctions/includes/prod.h
new file mode 100644
index 0000000..a5fde84
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/prod.h
@@ -0,0 +1,100 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __PROD_H__
+#define __PROD_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "floatComplex.h"
+#include "doubleComplex.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		sprods(in)			in
+#define		srowprods(in)			in
+#define		scolumnprods(in)		in
+#define		smatlabprods(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		dprods(in)			in
+#define		drowprods(in)			in
+#define		dcolumnprods(in)		in
+#define		dmatlabprods(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		cprods(in)			in
+#define		crowprods(in)			in
+#define		ccolumnprods(in)		in
+#define		cmatlabprods(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		zprods(in)			in
+#define		zrowprods(in)			in
+#define		zcolumnprods(in)		in
+#define		zmatlabprods(in)			in
+
+/*
+** \brief Sum of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the prod.
+*/
+EXTERN_STATFUNC float		sproda(float *in, int size);
+EXTERN_STATFUNC void		srowproda(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnproda(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Sum of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the prod.
+*/
+EXTERN_STATFUNC double		dproda(double *in, int size);
+EXTERN_STATFUNC void		drowproda(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnproda(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Sum of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the prod.
+*/
+EXTERN_STATFUNC floatComplex	cproda(floatComplex *in, int size);
+EXTERN_STATFUNC void		crowproda(floatComplex *in, int lines, int columns, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnproda(floatComplex *in, int lines, int columns, floatComplex* out);
+
+/*
+** \brief Sum of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the prod.
+*/
+EXTERN_STATFUNC doubleComplex	zproda(doubleComplex *in, int size);
+EXTERN_STATFUNC void		zrowproda(doubleComplex *in, int lines, int columns, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnproda(doubleComplex *in, int lines, int columns, doubleComplex* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+
+#endif /* !__PROD_H__ */
diff --git a/src/c/statisticsFunctions/includes/statMax.h b/src/c/statisticsFunctions/includes/statMax.h
new file mode 100644
index 0000000..8e5d12b
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/statMax.h
@@ -0,0 +1,130 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __STAT_MAX_H__
+#define __STAT_MAX_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "types.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+//#define max(a,b) (a>=b?a:b)
+
+#define maxa(a,size1,b,size2,out) 	{int i;\
+						for (i=0;i<size1[0]*size2[1];i++) out[i]=max(a[i],b[i]);\
+                                                }
+
+/*
+** \brief max of a scalar element, just returns it
+*/
+#define		smaxs(in)			in
+#define		srowmaxs(in)			in
+#define		scolumnmaxs(in)			in
+#define		smatlabmaxs(in)			in
+
+/*
+** \brief max of a scalar element, just returns it
+*/
+#define		dmaxs(in)			in
+#define		drowmaxs(in)			in
+#define		dcolumnmaxs(in)			in
+#define		dmatlabmaxs(in)			in
+
+/*
+** \brief max of a scalar element, just returns it
+*/
+#define	        u8maxs(in)			(uint8)in
+#define		u8rowmaxs(in)		        (uint8)in
+#define		u8columnmaxs(in)		(uint8)in
+#define		u8matlabmaxs(in)		(uint8)in
+#define		u16maxs(in)			(uint16)in
+#define		u16rowmaxs(in)		        (uint16)in
+#define		u16columnmaxs(in)		(uint16)in
+#define		u16matlabmaxs(in)		(uint16)in
+#define		i8maxs(in)			(int8)in
+#define		i8rowmaxs(in)		        (int8)in
+#define		i8columnmaxs(in)		(int8)in
+#define		i8matlabmaxs(in)		(int8)in
+#define		i16maxs(in)			(int16)in
+#define		i16rowmaxs(in)		        (int16)in
+#define		i16columnmaxs(in)		(int16)in
+#define		i16matlabmaxs(in)		(int16)in
+
+
+
+/*
+** \brief Sum of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC float		smaxa(float *in, int size);
+EXTERN_STATFUNC void		srowmaxa(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnmaxa(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Sum of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC double		dmaxa(double *in, int size);
+EXTERN_STATFUNC void		drowmaxa(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnmaxa(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Sum of a uint8 array
+** \param in the uint8 array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC uint8		u8maxa(uint8 *in, int size);
+EXTERN_STATFUNC void		u8rowmaxa(uint8 *in, int lines, int columns, uint8* out);
+EXTERN_STATFUNC void		u8columnmaxa(uint8 *in, int lines, int columns, uint8* out);
+
+/*
+** \brief Sum of a uint16 array
+** \param in the uint16 array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC uint16		u16maxa(uint16 *in, int size);
+EXTERN_STATFUNC void		u16rowmaxa(uint16 *in, int lines, int columns, uint16* out);
+EXTERN_STATFUNC void		u16columnmaxa(uint16 *in, int lines, int columns, uint16* out);
+
+/*
+** \brief Sum of a int8 array
+** \param in the int8 array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC int8		i8maxa(int8 *in, int size);
+EXTERN_STATFUNC void		i8rowmaxa(int8 *in, int lines, int columns, int8* out);
+EXTERN_STATFUNC void		i8columnmaxa(int8 *in, int lines, int columns, int8* out);
+
+/*
+** \brief Sum of a int16 array
+** \param in the int16 array to process
+** \param size, the size of the array
+** \returns the max.
+*/
+EXTERN_STATFUNC int16		i16maxa(int16 *in, int size);
+EXTERN_STATFUNC void		i16rowmaxa(int16 *in, int lines, int columns, int16* out);
+EXTERN_STATFUNC void		i16columnmaxa(int16 *in, int lines, int columns, int16* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+#endif /* !__STAT_MAX_H__ */
diff --git a/src/c/statisticsFunctions/includes/statMin.h b/src/c/statisticsFunctions/includes/statMin.h
new file mode 100644
index 0000000..f3b8268
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/statMin.h
@@ -0,0 +1,130 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __STAT_MIN_H__
+#define __STAT_MIN_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "types.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+//#define min(a,b) (a<=b?a:b)
+
+#define mina(a,size1,b,size2,out) 	{int i;\
+						for (i=0;i<size1[0]*size2[1];i++) out[i]=min(a[i],b[i]);\
+                                                }
+
+/*
+** \brief min of a scalar element, just returns it
+*/
+#define		smins(in)			in
+#define		srowmins(in)			in
+#define		scolumnmins(in)			in
+#define		smatlabmins(in)			in
+
+/*
+** \brief min of a scalar element, just returns it
+*/
+#define		dmins(in)			in
+#define		drowmins(in)			in
+#define		dcolumnmins(in)			in
+#define		dmatlabmins(in)			in
+
+/*
+** \brief min of a scalar element, just returns it
+*/
+#define	        u8mins(in)			(uint8)in
+#define		u8rowmins(in)		        (uint8)in
+#define		u8columnmins(in)		(uint8)in
+#define		u8matlabmins(in)		(uint8)in
+#define		u16mins(in)			(uint16)in
+#define		u16rowmins(in)		        (uint16)in
+#define		u16columnmins(in)		(uint16)in
+#define		u16matlabmins(in)		(uint16)in
+#define		i8mins(in)			(int8)in
+#define		i8rowmins(in)		        (int8)in
+#define		i8columnmins(in)		(int8)in
+#define		i8matlabmins(in)		(int8)in
+#define		i16mins(in)			(int16)in
+#define		i16rowmins(in)		        (int16)in
+#define		i16columnmins(in)		(int16)in
+#define		i16matlabmins(in)		(int16)in
+
+
+
+/*
+** \brief Sum of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC float		smina(float *in, int size);
+EXTERN_STATFUNC void		srowmina(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnmina(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Sum of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC double		dmina(double *in, int size);
+EXTERN_STATFUNC void		drowmina(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnmina(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Sum of a uint8 array
+** \param in the uint8 array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC uint8		u8mina(uint8 *in, int size);
+EXTERN_STATFUNC void		u8rowmina(uint8 *in, int lines, int columns, uint8* out);
+EXTERN_STATFUNC void		u8columnmina(uint8 *in, int lines, int columns, uint8* out);
+
+/*
+** \brief Sum of a uint16 array
+** \param in the uint16 array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC uint16		u16mina(uint16 *in, int size);
+EXTERN_STATFUNC void		u16rowmina(uint16 *in, int lines, int columns, uint16* out);
+EXTERN_STATFUNC void		u16columnmina(uint16 *in, int lines, int columns, uint16* out);
+
+/*
+** \brief Sum of a int8 array
+** \param in the int8 array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC int8		i8mina(int8 *in, int size);
+EXTERN_STATFUNC void		i8rowmina(int8 *in, int lines, int columns, int8* out);
+EXTERN_STATFUNC void		i8columnmina(int8 *in, int lines, int columns, int8* out);
+
+/*
+** \brief Sum of a int16 array
+** \param in the int16 array to process
+** \param size, the size of the array
+** \returns the min.
+*/
+EXTERN_STATFUNC int16		i16mina(int16 *in, int size);
+EXTERN_STATFUNC void		i16rowmina(int16 *in, int lines, int columns, int16* out);
+EXTERN_STATFUNC void		i16columnmina(int16 *in, int lines, int columns, int16* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+#endif /* !__STAT_MIN_H__ */
diff --git a/src/c/statisticsFunctions/includes/stdevf.h b/src/c/statisticsFunctions/includes/stdevf.h
new file mode 100644
index 0000000..c9e4859
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/stdevf.h
@@ -0,0 +1,129 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __STDEVF_H__
+#define __STDEVF_H__
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+
+
+#include "dynlib_statisticsfunctions.h"
+#include "subtraction.h"
+#include "division.h"
+
+
+#include "pow.h"
+#include "sum.h"
+#include "size.h"
+#include "sqrt.h"
+#include "meanf.h"
+
+
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+
+
+
+
+/*
+** \brief Standard deviation of a scalar element, just returns it
+*/
+#define		sstdevfs(in1,in2)			    0.0f
+#define		srowstdevfs(in1,in2)			0.0f
+#define		scolumnstdevfs(in1,in2)		0.0f
+
+
+/*
+** \brief Standard deviation of a scalar element, just returns it
+*/
+#define		dstdevfs(in1,in2)			    0.0
+#define		drowstdevfs(in1,in2)			0.0
+#define		dcolumnstdevfs(in1,in2)		0.0
+
+
+/*
+** \brief Standard deviation of a scalar element, just returns it
+*/
+#define		cstdevfs(in1,in2)			    FloatComplex(0.0f , 0.0f)
+#define		crowstdevfs(in1,in2)			FloatComplex(0.0f , 0.0f)
+#define		ccolumnstdevfs(in1,in2)		FloatComplex(0.0f , 0.0f)
+
+
+/*
+** \brief Standard deviation of a scalar element, just returns it
+*/
+#define		zstdevfs(in1,in2)			    DoubleComplex(0.0 , 0.0)
+#define		zrowstdevfs(in1,in2)			DoubleComplex(0.0 , 0.0)
+#define		zcolumnstdevfs(in1,in2)		DoubleComplex(0.0 , 0.0)
+
+
+/*
+** \brief Standard deviation of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the stdevf.
+*/
+EXTERN_STATFUNC float		sstdevfa(float *in1, int lines, int columns, float *in2);
+EXTERN_STATFUNC void		srowstdevfa(float *in1, int lines, int columns, float *in2, float* out);
+EXTERN_STATFUNC void		scolumnstdevfa(float *in1, int lines, int columns, float *in2, float* out);
+
+/*
+** \brief Standard deviation of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the stdevf.
+*/
+EXTERN_STATFUNC double		dstdevfa(double *in1, int lines, int columns, double *in2);
+EXTERN_STATFUNC void		drowstdevfa(double *in1, int lines, int columns, double *in2, double* out);
+EXTERN_STATFUNC void		dcolumnstdevfa(double *in1, int lines, int columns, double *in2, double* out);
+
+/*
+** \brief Standard deviation of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the stdevf.
+*/
+EXTERN_STATFUNC floatComplex	cstdevfa(floatComplex *in1, int lines, int columns, floatComplex *in2);
+EXTERN_STATFUNC void		crowstdevfa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnstdevfa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+
+/*
+** \brief Standard deviation of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the stdevf.
+*/
+EXTERN_STATFUNC doubleComplex	zstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2);
+EXTERN_STATFUNC void		zrowstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+
+/*
+**  convenience functions
+*/
+
+EXTERN_STATFUNC floatComplex	cstdevfcs(floatComplex *in1, int lines, int columns, float *in2);
+EXTERN_STATFUNC floatComplex	cstdevfsc(float *in1, int lines, int columns, floatComplex *in2);
+
+EXTERN_STATFUNC doubleComplex	zstdevfzd(doubleComplex *in1, int lines, int columns, double *in2);
+EXTERN_STATFUNC doubleComplex	zstdevfdz(double *in1, int lines, int columns, doubleComplex *in2);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+
+#endif /* !__STDEVF_H__ */
diff --git a/src/c/statisticsFunctions/includes/sum.h b/src/c/statisticsFunctions/includes/sum.h
new file mode 100644
index 0000000..2910792
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/sum.h
@@ -0,0 +1,102 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __SUM_H__
+#define __SUM_H__
+
+#include "dynlib_statisticsfunctions.h"
+#include "floatComplex.h"
+#include "doubleComplex.h"
+#include "addition.h"
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		ssums(in)			in
+#define		srowsums(in)			in
+#define		scolumnsums(in)		in
+#define		smatlabsums(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		dsums(in)			in
+#define		drowsums(in)			in
+#define		dcolumnsums(in)		in
+#define		dmatlabsums(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		csums(in)			in
+#define		crowsums(in)			in
+#define		ccolumnsums(in)		in
+#define		cmatlabsums(in)			in
+
+/*
+** \brief Sum of a scalar element, just returns it
+*/
+#define		zsums(in)			in
+#define		zrowsums(in)			in
+#define		zcolumnsums(in)		in
+#define		zmatlabsums(in)			in
+
+/*
+** \brief Sum of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the sum.
+*/
+EXTERN_STATFUNC float		ssuma(float *in, int size);
+EXTERN_STATFUNC void		srowsuma(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnsuma(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Sum of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the sum.
+*/
+EXTERN_STATFUNC double		dsuma(double *in, int size);
+EXTERN_STATFUNC void		drowsuma(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnsuma(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Sum of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the sum.
+*/
+EXTERN_STATFUNC floatComplex	csuma(floatComplex *in, int size);
+EXTERN_STATFUNC void		crowsuma(floatComplex *in, int lines, int columns, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnsuma(floatComplex *in, int lines, int columns, floatComplex* out);
+
+/*
+** \brief Sum of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the sum.
+*/
+EXTERN_STATFUNC doubleComplex	zsuma(doubleComplex *in, int size);
+EXTERN_STATFUNC void		zrowsuma(doubleComplex *in, int lines, int columns, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnsuma(doubleComplex *in, int lines, int columns, doubleComplex* out);
+
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+#endif /* !__SUM_H__ */
diff --git a/src/c/statisticsFunctions/includes/variance.h b/src/c/statisticsFunctions/includes/variance.h
new file mode 100644
index 0000000..a058bb7
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/variance.h
@@ -0,0 +1,117 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __VARIANCE_H__
+#define __VARIANCE_H__
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+
+
+#include "dynlib_statisticsfunctions.h"
+#include "subtraction.h"
+#include "division.h"
+
+#include "pow.h"
+#include "sum.h"
+
+#include "mean.h"
+#include "matrixTranspose.h"
+
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+
+
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		svariances(in)			    in
+#define		srowvariances(in)			in
+#define		scolumnvariances(in)		in
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		dvariances(in)			    in
+#define		drowvariances(in)			in
+#define		dcolumnvariances(in)		in
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		cvariances(in)			    in
+#define		crowvariances(in)			in
+#define		ccolumnvariances(in)		in
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		zvariances(in)			    in
+#define		zrowvariances(in)			in
+#define		zcolumnvariances(in)		in
+
+
+/*
+** \brief Variance of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the variance.
+*/
+EXTERN_STATFUNC float		svariancea(float *in, int size);
+EXTERN_STATFUNC void		srowvariancea(float *in, int lines, int columns, float* out);
+EXTERN_STATFUNC void		scolumnvariancea(float *in, int lines, int columns, float* out);
+
+/*
+** \brief Variance of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the variance.
+*/
+EXTERN_STATFUNC double		dvariancea(double *in, int size);
+EXTERN_STATFUNC void		drowvariancea(double *in, int lines, int columns, double* out);
+EXTERN_STATFUNC void		dcolumnvariancea(double *in, int lines, int columns, double* out);
+
+/*
+** \brief Variance of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the variance.
+*/
+EXTERN_STATFUNC floatComplex	cvariancea(floatComplex *in, int size);
+EXTERN_STATFUNC void		crowvariancea(floatComplex *in, int lines, int columns, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnvariancea(floatComplex *in, int lines, int columns, floatComplex* out);
+
+/*
+** \brief Variance of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the variance.
+*/
+EXTERN_STATFUNC doubleComplex	zvariancea(doubleComplex *in, int size);
+EXTERN_STATFUNC void		zrowvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+
+#endif /* !__VARIANCE_H__ */
diff --git a/src/c/statisticsFunctions/includes/variancef.h b/src/c/statisticsFunctions/includes/variancef.h
new file mode 100644
index 0000000..e682a18
--- /dev/null
+++ b/src/c/statisticsFunctions/includes/variancef.h
@@ -0,0 +1,117 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#ifndef __VARIANCEF_H__
+#define __VARIANCEF_H__
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+
+
+#include "dynlib_statisticsfunctions.h"
+#include "subtraction.h"
+#include "division.h"
+
+
+#include "pow.h"
+#include "sum.h"
+
+#include "meanf.h"
+
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+
+
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		svariancefs(in1,in2)			    0.0f
+#define		srowvariancefs(in1,in2)			0.0f
+#define		scolumnvariancefs(in1,in2)		0.0f
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		dvariancefs(in1,in2)			    0.0
+#define		drowvariancefs(in1,in2)			0.0
+#define		dcolumnvariancefs(in1,in2)		0.0
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		cvariancefs(in1,in2)			    FloatComplex(0.0f , 0.0f)
+#define		crowvariancefs(in1,in2)			FloatComplex(0.0f , 0.0f)
+#define		ccolumnvariancefs(in1,in2)		FloatComplex(0.0f , 0.0f)
+
+
+/*
+** \brief Variance of a scalar element, just returns it
+*/
+#define		zvariancefs(in1,in2)			    DoubleComplex(0.0 , 0.0)
+#define		zrowvariancefs(in1,in2)			DoubleComplex(0.0 , 0.0)
+#define		zcolumnvariancefs(in1,in2)		DoubleComplex(0.0 , 0.0)
+
+
+/*
+** \brief Variance of a float array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the variancef.
+*/
+EXTERN_STATFUNC float		svariancefa(float *in1, int size, float *in2);
+EXTERN_STATFUNC void		srowvariancefa(float *in1, int lines, int columns, float *in2, float* out);
+EXTERN_STATFUNC void		scolumnvariancefa(float *in1, int lines, int columns, float *in2, float* out);
+
+/*
+** \brief Variance of a double array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the variancef.
+*/
+EXTERN_STATFUNC double		dvariancefa(double *in1, int size, double *in2);
+EXTERN_STATFUNC void		drowvariancefa(double *in1, int lines, int columns, double *in2, double* out);
+EXTERN_STATFUNC void		dcolumnvariancefa(double *in1, int lines, int columns, double *in2, double* out);
+
+/*
+** \brief Variance of a float complex array
+** \param in the float array to process
+** \param size, the size of the array
+** \returns the variancef.
+*/
+EXTERN_STATFUNC floatComplex	cvariancefa(floatComplex *in1, int size, floatComplex *in2);
+EXTERN_STATFUNC void		crowvariancefa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+EXTERN_STATFUNC void		ccolumnvariancefa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex* out);
+
+/*
+** \brief Variance of a double complex array
+** \param in the double array to process
+** \param size, the size of the array
+** \returns the variancef.
+*/
+EXTERN_STATFUNC doubleComplex	zvariancefa(doubleComplex *in1, int size, doubleComplex *in2);
+EXTERN_STATFUNC void		zrowvariancefa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+EXTERN_STATFUNC void		zcolumnvariancefa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex* out);
+
+#ifdef  __cplusplus
+} /* extern "C" */
+#endif
+
+
+#endif /* !__VARIANCEF_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_mean.h b/src/c/statisticsFunctions/interfaces/int_mean.h
new file mode 100644
index 0000000..d1d301c
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_mean.h
@@ -0,0 +1,71 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_MEAN_H__
+#define __INT_MEAN_H__
+
+#define s0means0(in)					smeans(in)
+
+#define d0meand0(in)					dmeans(in)
+
+#define c0meanc0(in)					cmeans(in)
+
+#define z0meanz0(in)					zmeans(in)
+
+#define s2means0(in,size)				smeana(in, size[0]*size[1])
+
+#define d2meand0(in,size)				dmeana(in, size[0]*size[1])
+
+#define c2meanc0(in,size)				cmeana(in, size[0]*size[1])
+
+#define z2meanz0(in,size)				zmeana(in, size[0]*size[1])
+
+
+#define s0s0means0(in1,in2)				(in2==1) ? srowmeans(in1) : scolumnmeans(in1)	
+
+#define d0d0meand0(in1,in2)				(in2==1) ? drowmeans(in1) : dcolumnmeans(in1)	
+
+#define c0s0meanc0(in1,in2)				(in2==1) ? crowmeans(in1) : ccolumnmeans(in1)	
+
+#define z0d0meanz0(in1,in2)				(in2==1) ? zrowmeans(in1) : zcolumnmeans(in1)	
+
+#define s2s0means2(in1,size,in2,out)		(in2==1) ? srowmeana(in1,size[0],size[1],out) : scolumnmeana(in1,size[0],size[1],out)	
+
+#define d2d0meand2(in1,size,in2,out)		(in2==1) ? drowmeana(in1,size[0],size[1],out) : dcolumnmeana(in1,size[0],size[1],out)
+
+#define c2s0meanc2(in1,size,in2,out)		(in2==1) ? crowmeana(in1,size[0],size[1],out) : ccolumnmeana(in1,size[0],size[1],out)
+
+#define z2d0meanz2(in1,size,in2,out)		(in2==1) ? zrowmeana(in1,size[0],size[1],out) : zcolumnmeana(in1,size[0],size[1],out)	
+		
+	/*'r'  and 'c' case  */	
+#define s0g2means0(in1,in2,size2)			(in2[0]=='r') ? srowmeans(in1) : scolumnmeans(in1)	
+
+#define d0g2meand0(in1,in2,size2)			(in2[0]=='r') ? drowmeans(in1) : dcolumnmeans(in1)	
+
+#define c0g2meanc0(in1,in2,size2)			(in2[0]=='r') ? crowmeans(in1) : ccolumnmeans(in1)	
+
+#define z0g2meanz0(in1,in2,size2)			(in2[0]=='r') ? zrowmeans(in1) : zcolumnmeans(in1)	
+
+#define s2g2means2(in1,size,in2,size2,out)		(in2[0]=='r') ? srowmeana(in1,size[0],size[1],out) : scolumnmeana(in1,size[0],size[1],out)	
+
+#define d2g2meand2(in1,size,in2,size2,out)		(in2[0]=='r') ? drowmeana(in1,size[0],size[1],out) : dcolumnmeana(in1,size[0],size[1],out)
+
+#define c2g2meanc2(in1,size,in2,size2,out)		(in2[0]=='r') ? crowmeana(in1,size[0],size[1],out) : ccolumnmeana(in1,size[0],size[1],out)
+
+#define z2g2meanz2(in1,size,in2,size2,out)		(in2[0]=='r') ? zrowmeana(in1,size[0],size[1],out) : zcolumnmeana(in1,size[0],size[1],out)	
+		
+	
+	
+
+#endif /* !__INT_MEAN_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_meanf.h b/src/c/statisticsFunctions/interfaces/int_meanf.h
new file mode 100644
index 0000000..c7fb4da
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_meanf.h
@@ -0,0 +1,183 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_MEANF_H__
+#define __INT_MEANF_H__
+
+#define s0s0meanfs0(in1,in2)					smeanfs(in1,in2)
+
+#define d0d0meanfd0(in1,in2)					dmeanfs(in1,in2)
+
+#define c0s0meanfc0(in1,in2)					cmeanfs(in1,FloatComplex(in2 , 0.0f))
+
+#define z0d0meanfz0(in1,in2)					zmeanfs(in1,DoubleComplex(in2, 0.0))
+
+#define s2s2meanfs0(in1, size1, in2, size2)				smeanfa(in1, size1[0]*size1[1], in2)
+
+#define d2d2meanfd0(in1, size1, in2, size2)				dmeanfa(in1, size1[0]*size1[1], in2)
+
+#define c2s2meanfc0(in1, size1, in2, size2)				cmeanfcs(in1, size1[0], size1[1], in2)
+
+#define z2d2meanfz0(in1, size1, in2, size2)				zmeanfzd(in1, size1[0], size1[1], in2)
+
+
+/*by rows or columns */
+
+#define s0s0s0meanfs0(in1,in2,in3)				(in3==1) ? srowmeanfs(in1,in2) : scolumnmeanfs(in1,in2)	
+
+#define d0d0d0meanfd0(in1,in2,in3)				(in3==1) ? drowmeanfs(in1,in2) : dcolumnmeanfs(in1,in2)	
+
+#define c0s0s0meanfc0(in1,in2,in3)				(in3==1) ? crowmeanfs(in1,FloatComplex(in2 , 0.0f))  : ccolumnmeanfs(in1,FloatComplex(in2 , 0.0f))	
+
+#define z0d0d0meanfz0(in1,in2,in3)				(in3==1) ? zrowmeanfs(in1,DoubleComplex(in2, 0.0))   : zcolumnmeanfs(in1,DoubleComplex(in2, 0.0))
+	
+
+#define s2s2s0meanfs2(in1, size1, in2, size2,in3,out)		(in3==1) ? srowmeanfa(in1,size1[0],size1[1],in2,out) : scolumnmeanfa(in1,size1[0],size1[1],in2,out)	
+
+#define d2d2d0meanfd2(in1, size1, in2, size2,in3,out)		(in3==1) ? drowmeanfa(in1,size1[0],size1[1],in2,out) : dcolumnmeanfa(in1,size1[0],size1[1],in2,out)
+
+
+
+
+
+#define c2s2s0meanfc2(in1, size1, in2, size2,in3,out)		 if (in3==1) {float* temp;\
+								 temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								 sfilla(temp,size1[0],size1[1],0);\
+								 crowmeanfa(in1,size1[0],size1[1],FloatComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								 free(temp);\
+								}\
+								else\
+								{float* temp;\
+								 temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								 sfilla(temp,size1[0],size1[1],0);\
+								 ccolumnmeanfa(in1,size1[0],size1[1],FloatComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								 free(temp);\
+								}	
+
+#define z2d2d0meanfz2(in1, size1, in2, size2,in3,out)		if (in3==1)  {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowmeanfa(in1,size1[0],size1[1],DoubleComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnmeanfa(in1,size1[0],size1[1],DoubleComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								free(temp);\
+								}	
+
+		
+/**/
+
+
+#define s0c0meanfs0(in1,in2)					creals (cmeanfs(FloatComplex(in1 , 0.0f),in2))
+#define s0c0meanfc0(in1,in2)					cmeanfs(FloatComplex(in1 , 0.0f),in2)
+
+#define d0z0meanfd0(in1,in2)					zreals(zmeanfs(DoubleComplex(in1, 0.0 ),in2))
+#define d0z0meanfz0(in1,in2)					zmeanfs(DoubleComplex(in1, 0.0 ),in2)
+
+#define c0c0meanfc0(in1,in2)					cmeanfs(in1,in2)
+
+#define z0z0meanfz0(in1,in2)					zmeanfs(in1,in2)
+
+
+#define s2c2meanfs0(in1, size1, in2, size2)				creals (cmeanfsc(in1, size1[0],size1[1], in2))
+#define s2c2meanfc0(in1, size1, in2, size2)				cmeanfsc(in1, size1[0],size1[1], in2)
+
+#define d2z2meanfd0(in1, size1, in2, size2)				zreals(zmeanfdz(in1, size1[0],size1[1], in2))
+#define d2z2meanfz0(in1, size1, in2, size2)				zmeanfdz(in1, size1[0],size1[1], in2)
+
+#define c2c2meanfc0(in1, size1, in2, size2)				cmeanfa(in1, size1[0]* size1[1], in2)
+
+#define z2z2meanfz0(in1, size1, in2, size2)				zmeanfa(in1, size1[0]* size1[1], in2)
+
+
+/*by rows or columns */
+
+#define s0c0s0meanfs0(in1,in2,in3)				(in3==1) ? crowmeanfs(FloatComplex(in1, 0.0f),in2) : ccolumnmeanfs(FloatComplex(in1, 0.0f),in2)	
+
+#define d0z0d0meanfd0(in1,in2,in3)				(in3==1) ? zrowmeanfs(DoubleComplex(in1, 0.0),in2) : zcolumnmeanfs(DoubleComplex(in1, 0.0),in2)	
+
+#define c0c0s0meanfc0(in1,in2,in3)				(in3==1) ? crowmeanfs(in1,in2) : ccolumnmeanfs(in1,in2)	
+
+#define z0z0d0meanfz0(in1,in2,in3)				(in3==1) ? zrowmeanfs(in1,in2) : zcolumnmeanfs(in1,in2)
+	
+
+#define s2c2s0meanfs2(in1, size1, in2, size2,in3,out)		if (in3==1)  {float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								crowmeanfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								ccolumnmeanfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+#define d2z2d0meanfd2(in1, size1, in2, size2,in3,out)		if (in3==1)  {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowmeanfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnmeanfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+/*complex output*/
+#define s2c2s0meanfc2(in1, size1, in2, size2,in3,out)		if (in3==1)  {float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								crowmeanfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								ccolumnmeanfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+#define d2z2d0meanfz2(in1, size1, in2, size2,in3,out)		if (in3==1)  {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowmeanfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnmeanfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+
+
+#define c2c2s0meanfc2(in1, size1, in2, size2,in3,out)		(in3==1) ? crowmeanfa(in1,size1[0],size1[1],in2,out) : ccolumnmeanfa(in1,size1[0],size1[1],in2,out)
+
+#define z2z2d0meanfz2(in1, size1, in2, size2,in3,out)		(in3==1) ? zrowmeanfa(in1,size1[0],size1[1],in2,out) : zcolumnmeanfa(in1,size1[0],size1[1],in2,out)	
+	
+
+#endif /* !__INT_MEANF_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_prod.h b/src/c/statisticsFunctions/interfaces/int_prod.h
new file mode 100644
index 0000000..dfec854
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_prod.h
@@ -0,0 +1,71 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_PROD_H__
+#define __INT_PROD_H__
+
+#define s0prods0(in)					sprods(in)
+
+#define d0prodd0(in)					dprods(in)
+
+#define c0prodc0(in)					cprods(in)
+	
+#define z0prodz0(in)					zprods(in)
+
+#define s2prods0(in,size)				sproda(in, size[0]*size[1])
+
+#define d2prodd0(in,size)				dproda(in, size[0]*size[1])
+
+#define c2prodc0(in,size)				cproda(in, size[0]*size[1])
+
+#define z2prodz0(in,size)				zproda(in, size[0]*size[1])
+
+	
+#define s0s0prods0(in1,in2)				(in2==1) ? srowprods(in1) : scolumnprods(in1)	
+
+#define d0d0prodd0(in1,in2)				(in2==1) ? drowprods(in1) : dcolumnprods(in1)	
+
+#define c0s0prodc0(in1,in2)				(in2==1) ? crowprods(in1) : ccolumnprods(in1)	
+
+#define z0d0prodz0(in1,in2)				(in2==1) ? zrowprods(in1) : zcolumnprods(in1)	
+
+#define s2s0prods2(in1,size,in2,out)		(in2==1) ? srowproda(in1,size[0],size[1],out) : scolumnproda(in1,size[0],size[1],out)	
+
+#define d2d0prodd2(in1,size,in2,out)		(in2==1) ? drowproda(in1,size[0],size[1],out) : dcolumnproda(in1,size[0],size[1],out)
+
+#define c2s0prodc2(in1,size,in2,out)		(in2==1) ? crowproda(in1,size[0],size[1],out) : ccolumnproda(in1,size[0],size[1],out)
+
+#define z2d0prodz2(in1,size,in2,out)		(in2==1) ? zrowproda(in1,size[0],size[1],out) : zcolumnproda(in1,size[0],size[1],out)	
+		
+	/*'r'  and 'c' case  */	
+#define s0g2prods0(in1,in2,size2)			(in2[0]=='r') ? srowprods(in1) : scolumnprods(in1)	
+
+#define d0g2prodd0(in1,in2,size2)			(in2[0]=='r') ? drowprods(in1) : dcolumnprods(in1)	
+
+#define c0g2prodc0(in1,in2,size2)			(in2[0]=='r') ? crowprods(in1) : ccolumnprods(in1)	
+
+#define z0g2prodz0(in1,in2,size2)			(in2[0]=='r') ? zrowprods(in1) : zcolumnprods(in1)	
+
+#define s2g2prods2(in1,size,in2,size2,out)		(in2[0]=='r') ? srowproda(in1,size[0],size[1],out) : scolumnproda(in1,size[0],size[1],out)	
+
+#define d2g2prodd2(in1,size,in2,size2,out)		(in2[0]=='r') ? drowproda(in1,size[0],size[1],out) : dcolumnproda(in1,size[0],size[1],out)
+
+#define c2g2prodc2(in1,size,in2,size2,out)		(in2[0]=='r') ? crowproda(in1,size[0],size[1],out) : ccolumnproda(in1,size[0],size[1],out)
+
+#define z2g2prodz2(in1,size,in2,size2,out)		(in2[0]=='r') ? zrowproda(in1,size[0],size[1],out) : zcolumnproda(in1,size[0],size[1],out)	
+		
+	
+	
+
+#endif /* !__INT_PROD_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_statMax.h b/src/c/statisticsFunctions/interfaces/int_statMax.h
new file mode 100644
index 0000000..6d28186
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_statMax.h
@@ -0,0 +1,161 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_STATMAX_H__
+#define __INT_STATMAX_H__
+//#ifndef __INT_MAX_H__
+//#define __INT_MAX_H__
+
+#define s0maxs0(in)	in
+
+#define d0maxd0(in)	in
+
+#define u80maxu80(in)   (uint8)in
+
+#define u160maxu160(in) (uint16)in
+
+#define i80maxi80(in)   (int8)in
+
+#define i160maxi160(in) (int16)in
+
+#define s2maxs0(in,size)			smaxa(in, size[0]*size[1])
+
+#define d2maxd0(in,size)			dmaxa(in, size[0]*size[1])
+
+#define c2maxc0(in,size)			cmaxa(in, size[0]*size[1])
+
+#define z2maxz0(in,size)			zmaxa(in, size[0]*size[1])
+
+#define u82maxu80(in,size)                      u8maxa(in, size[0]*size[1])
+
+#define u162maxu160(in,size)                    u16maxa(in, size[0]*size[1])
+
+#define i82maxi80(in,size)                      i8maxa(in, size[0]*size[1])
+
+#define i162maxi160(in,size)                    i16maxa(in, size[0]*size[1])
+
+
+
+#define s0s0maxs0(in1,in2)			max(in1,in2)
+
+#define d0d0maxd0(in1,in2)			max(in1,in2)
+
+#define u80u80maxu80(in1,in2)                   max(in1,in2)
+ 
+#define u160u160maxu160(in1,in2)                max(in1,in2)
+
+#define i80i80maxi80(in1,in2)                   max(in1,in2)
+ 
+#define i160i160maxi160(in1,in2)                max(in1,in2)
+
+#define s2s2maxs2(in1,size1,in2,size2,out)		maxa(in1, size1, in2, size2, out)
+
+#define d2d2maxd2(in1,size1,in2,size2,out)		maxa(in1, size1, in2, size2, out)
+
+#define u82u82maxu82(in1,size1,in2,size2,out)		maxa(in1, size1, in2, size2, out)
+
+#define u162u162maxu162(in1,size1,in2,size2,out)	maxa(in1, size1, in2, size2, out)
+
+#define i82i82maxi82(in1,size1,in2,size2,out)		maxa(in1, size1, in2, size2, out)
+
+#define i162i162maxi162(in1,size1,in2,size2,out)	maxa(in1, size1, in2, size2, out)
+
+
+#define s2s0maxs2(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}							
+
+#define d2d0maxd2(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}
+
+#define u82u80maxu82(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}
+
+#define u162u160maxu162(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}
+
+#define i82i80maxi82(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}
+
+#define i162i160maxi162(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1[i],in2);\
+							}
+							
+#define s0s2maxs2(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+												
+#define d0d2maxd2(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+
+#define u80u82maxu82(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+
+#define u160u162maxu162(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+
+#define i80i82maxi82(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+
+#define i160i162maxi162(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=max(in1,in2[i]);\
+							}
+
+/*'r'  and 'c' case  */	
+#define s0g2maxs0(in1,in2,size2)			(in2[0]=='r') ? srowmaxs(in1) : scolumnmaxs(in1)	
+
+#define d0g2maxd0(in1,in2,size2)			(in2[0]=='r') ? drowmaxs(in1) : dcolumnmaxs(in1)	
+
+#define c0g2maxc0(in1,in2,size2)			(in2[0]=='r') ? crowmaxs(in1) : ccolumnmaxs(in1)	
+
+#define z0g2maxz0(in1,in2,size2)			(in2[0]=='r') ? zrowmaxs(in1) : zcolumnmaxs(in1)
+
+#define u80g2maxu80(in1,in2,size2)			(in2[0]=='r') ? u8rowmaxs(in1) : u8columnmaxs(in1)
+
+#define u160g2maxu160(in1,in2,size2)			(in2[0]=='r') ? u16rowmaxs(in1) : u16columnmaxs(in1)
+
+#define i80g2maxi80(in1,in2,size2)			(in2[0]=='r') ? i8rowmaxs(in1) : i8columnmaxs(in1)
+
+#define i160g2maxi160(in1,in2,size2)			(in2[0]=='r') ? i16rowmaxs(in1) : i16columnmaxs(in1)	
+	
+
+#define s2g2maxs2(in1,size1,in2,size2,out)		(in2[0]=='r') ? srowmaxa(in1,size1[0],size1[1],out) : scolumnmaxa(in1,size1[0],size1[1],out)	
+
+#define d2g2maxd2(in1,size1,in2,size2,out)		(in2[0]=='r') ? drowmaxa(in1,size1[0],size1[1],out) : dcolumnmaxa(in1,size1[0],size1[1],out)
+
+#define c2g2maxc2(in1,size1,in2,size2,out)		(in2[0]=='r') ? crowmaxa(in1,size1[0],size1[1],out) : ccolumnmaxa(in1,size1[0],size1[1],out)
+
+#define z2g2maxz2(in1,size1,in2,size2,out)		(in2[0]=='r') ? zrowmaxa(in1,size1[0],size1[1],out) : zcolumnmaxa(in1,size1[0],size1[1],out)	
+
+#define u82g2maxu82(in1,size1,in2,size2,out)		(in2[0]=='r') ? u8rowmaxa(in1,size1[0],size1[1],out) : u8columnmaxa(in1,size1[0],size1[1],out)	
+
+#define u162g2maxu162(in1,size1,in2,size2,out)		(in2[0]=='r') ? u16rowmaxa(in1,size1[0],size1[1],out) : u16columnmaxa(in1,size1[0],size1[1],out)
+	
+#define i82g2maxi82(in1,size1,in2,size2,out)		(in2[0]=='r') ? i8rowmaxa(in1,size1[0],size1[1],out) : i8columnmaxa(in1,size1[0],size1[1],out)	
+
+#define i162g2maxi162(in1,size1,in2,size2,out)		(in2[0]=='r') ? i16rowmaxa(in1,size1[0],size1[1],out) : i16columnmaxa(in1,size1[0],size1[1],out)
+
+
+	
+
+
+#endif /* !__INT_STATMAX_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_statMin.h b/src/c/statisticsFunctions/interfaces/int_statMin.h
new file mode 100644
index 0000000..39187ef
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_statMin.h
@@ -0,0 +1,162 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_STATMIN_H__
+#define __INT_STATMIN_H__
+//#ifndef __INT_MIN_H__
+//#define __INT_MIN_H__
+
+#define s0mins0(in)	in
+
+#define d0mind0(in)	in
+
+#define u80minu80(in)   (uint8)in
+
+#define u160minu160(in) (uint16)in
+
+#define i80mini80(in)   (int8)in
+
+#define i160mini160(in) (int16)in
+
+#define s2mins0(in,size)			smina(in, size[0]*size[1])
+
+#define d2mind0(in,size)			dmina(in, size[0]*size[1])
+
+#define c2minc0(in,size)			cmina(in, size[0]*size[1])
+
+#define z2minz0(in,size)			zmina(in, size[0]*size[1])
+
+#define u82minu80(in,size)                      u8mina(in, size[0]*size[1])
+
+#define u162minu160(in,size)                    u16mina(in, size[0]*size[1])
+
+#define i82mini80(in,size)                      i8mina(in, size[0]*size[1])
+
+#define i162mini160(in,size)                    i16mina(in, size[0]*size[1])
+
+
+
+#define s0s0mins0(in1,in2)			min(in1,in2)
+
+#define d0d0mind0(in1,in2)			min(in1,in2)
+
+#define u80u80minu80(in1,in2)                   min(in1,in2)
+ 
+#define u160u160minu160(in1,in2)                min(in1,in2)
+
+#define i80i80mini80(in1,in2)                   min(in1,in2)
+ 
+#define i160i160mini160(in1,in2)                min(in1,in2)
+
+#define s2s2mins2(in1,size1,in2,size2,out)		mina(in1, size1, in2, size2, out)
+
+#define d2d2mind2(in1,size1,in2,size2,out)		mina(in1, size1, in2, size2, out)
+
+#define u82u82minu82(in1,size1,in2,size2,out)		mina(in1, size1, in2, size2, out)
+
+#define u162u162minu162(in1,size1,in2,size2,out)	mina(in1, size1, in2, size2, out)
+
+#define i82i82mini82(in1,size1,in2,size2,out)		mina(in1, size1, in2, size2, out)
+
+#define i162i162mini162(in1,size1,in2,size2,out)	mina(in1, size1, in2, size2, out)
+
+
+#define s2s0mins2(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}							
+
+#define d2d0mind2(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}
+
+#define u82u80minu82(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}
+
+#define u162u160minu162(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}
+
+#define i82i80mini82(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}
+
+#define i162i160mini162(in1,size,in2,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1[i],in2);\
+							}
+							
+#define s0s2mins2(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+							}
+												
+#define d0d2mind2(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+							}
+
+#define u80u82minu82(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+							}
+
+#define u160u162minu162(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+							}
+
+#define i80i82mini82(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+							}
+
+#define i160i162mini162(in1,in2,size,out)		{int i;\
+							for (i=0;i<size[0]*size[1];i++) out[i]=min(in1,in2[i]);\
+                                                        }
+
+
+/*'r'  and 'c' case  */	
+#define s0g2mins0(in1,in2,size2)			(in2[0]=='r') ? srowmins(in1) : scolumnmins(in1)	
+
+#define d0g2mind0(in1,in2,size2)			(in2[0]=='r') ? drowmins(in1) : dcolumnmins(in1)	
+
+#define c0g2minc0(in1,in2,size2)			(in2[0]=='r') ? crowmins(in1) : ccolumnmins(in1)	
+
+#define z0g2minz0(in1,in2,size2)			(in2[0]=='r') ? zrowmins(in1) : zcolumnmins(in1)
+
+#define u80g2minu80(in1,in2,size2)			(in2[0]=='r') ? u8rowmins(in1) : u8columnmins(in1)
+
+#define u160g2minu160(in1,in2,size2)			(in2[0]=='r') ? u16rowmins(in1) : u16columnmins(in1)
+
+#define i80g2mini80(in1,in2,size2)			(in2[0]=='r') ? i8rowmins(in1) : i8columnmins(in1)
+
+#define i160g2mini160(in1,in2,size2)			(in2[0]=='r') ? i16rowmins(in1) : i16columnmins(in1)	
+	
+
+#define s2g2mins2(in1,size,in2,size2,out)		(in2[0]=='r') ? srowmina(in1,size[0],size[1],out) : scolumnmina(in1,size[0],size[1],out)	
+
+#define d2g2mind2(in1,size,in2,size2,out)		(in2[0]=='r') ? drowmina(in1,size[0],size[1],out) : dcolumnmina(in1,size[0],size[1],out)
+
+#define c2g2minc2(in1,size,in2,size2,out)		(in2[0]=='r') ? crowmina(in1,size[0],size[1],out) : ccolumnmina(in1,size[0],size[1],out)
+
+#define z2g2minz2(in1,size,in2,size2,out)		(in2[0]=='r') ? zrowmina(in1,size[0],size[1],out) : zcolumnmina(in1,size[0],size[1],out)	
+
+#define u82g2minu82(in1,size,in2,size2,out)		(in2[0]=='r') ? u8rowmina(in1,size[0],size[1],out) : u8columnmina(in1,size[0],size[1],out)	
+
+#define u162g2minu162(in1,size,in2,size2,out)		(in2[0]=='r') ? u16rowmina(in1,size[0],size[1],out) : u16columnmina(in1,size[0],size[1],out)
+	
+#define i82g2mini82(in1,size,in2,size2,out)		(in2[0]=='r') ? i8rowmina(in1,size[0],size[1],out) : i8columnmina(in1,size[0],size[1],out)	
+
+#define i162g2mini162(in1,size,in2,size2,out)		(in2[0]=='r') ? i16rowmina(in1,size[0],size[1],out) : i16columnmina(in1,size[0],size[1],out)
+
+	
+	
+
+
+#endif /* !__INT_STATMIN_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_stdevf.h b/src/c/statisticsFunctions/interfaces/int_stdevf.h
new file mode 100644
index 0000000..940b415
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_stdevf.h
@@ -0,0 +1,188 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_STDEVF_H__
+#define __INT_STDEVF_H__
+
+#define s0s0stdevfs0(in1,in2)					sstdevfs(in1,in2)
+
+#define d0d0stdevfd0(in1,in2)					dstdevfs(in1,in2)
+
+#define c0s0stdevfc0(in1,in2)					cstdevfs(in1,FloatComplex(in2 , 0.0f))
+
+#define z0d0stdevfz0(in1,in2)					zstdevfs(in1,DoubleComplex(in2, 0.0))
+
+#define s2s2stdevfs0(in1, size1, in2, size2)				sstdevfa(in1, size1[0],size1[1], in2)
+
+#define d2d2stdevfd0(in1, size1, in2, size2)				dstdevfa(in1, size1[0],size1[1], in2)
+
+#define c2s2stdevfc0(in1, size1, in2, size2)				cstdevfcs(in1, size1[0], size1[1], in2)
+
+#define z2d2stdevfz0(in1, size1, in2, size2)				zstdevfzd(in1, size1[0], size1[1], in2)
+
+
+/*by rows or columns */
+
+#define s0s0s0stdevfs0(in1,in2,in3)				(in3==1) ? srowstdevfs(in1,in2) : scolumnstdevfs(in1,in2)	
+
+#define d0d0d0stdevfd0(in1,in2,in3)				(in3==1) ? drowstdevfs(in1,in2) : dcolumnstdevfs(in1,in2)	
+
+#define c0s0s0stdevfc0(in1,in2,in3)				(in3==1) ? crowstdevfs(in1,FloatComplex(in2 , 0.0f))  : ccolumnstdevfs(in1,FloatComplex(in2 , 0.0f))	
+
+#define z0d0d0stdevfz0(in1,in2,in3)				(in3==1) ? zrowstdevfs(in1,DoubleComplex(in2, 0.0))   : zcolumnstdevfs(in1,DoubleComplex(in2, 0.0))
+	
+
+#define s2s2s0stdevfs2(in1, size1, in2, size2,in3,out)		(in3==1) ? srowstdevfa(in1,size1[0],size1[1],in2,out) : scolumnstdevfa(in1,size1[0],size1[1],in2,out)	
+
+#define d2d2d0stdevfd2(in1, size1, in2, size2,in3,out)		(in3==1) ? drowstdevfa(in1,size1[0],size1[1],in2,out) : dcolumnstdevfa(in1,size1[0],size1[1],in2,out)
+
+
+
+
+
+#define c2s2s0stdevfc2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {float* temp;\
+								 temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								 sfilla(temp,size1[0],size1[1],0);\
+								 crowstdevfa(in1,size1[0],size1[1],FloatComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								 free(temp);\
+								}\
+								else\
+								{float* temp;\
+								 temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								 sfilla(temp,size1[0],size1[1],0);\
+								 ccolumnstdevfa(in1,size1[0],size1[1],FloatComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								 free(temp);\
+								}	
+
+#define z2d2d0stdevfz2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowstdevfa(in1,size1[0],size1[1],DoubleComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnstdevfa(in1,size1[0],size1[1],DoubleComplexMatrix(in2,temp,size1[0]*size1[1]),out);\
+								free(temp);\
+								}	
+
+		
+/**/
+
+
+#define s0c0stdevfs0(in1,in2)					creals (cstdevfs(FloatComplex(in1 , 0.0f),in2))
+#define s0c0stdevfc0(in1,in2)					cstdevfs(FloatComplex(in1 , 0.0f),in2)
+
+#define d0z0stdevfd0(in1,in2)					zreals(zstdevfs(DoubleComplex(in1, 0.0 ),in2)
+#define d0z0stdevfz0(in1,in2)					zstdevfs(DoubleComplex(in1, 0.0 ),in2)
+
+
+#define c0c0stdevfc0(in1,in2)					cstdevfs(in1,in2)
+
+#define z0z0stdevfz0(in1,in2)					zstdevfs(in1,in2)
+
+
+#define s2c2stdevfs0(in1, size1, in2, size2)				creals(cstdevfsc(in1, size1[0],size1[1], in2))
+#define s2c2stdevfc0(in1, size1, in2, size2)				cstdevfsc(in1, size1[0],size1[1], in2)
+
+#define d2z2stdevfd0(in1, size1, in2, size2)				zreals(zstdevfdz(in1, size1[0],size1[1], in2))
+#define d2z2stdevfz0(in1, size1, in2, size2)				zstdevfdz(in1, size1[0],size1[1], in2)
+
+#define c2c2stdevfc0(in1, size1, in2, size2)				cstdevfa(in1, size1[0], size1[1], in2)
+
+#define z2z2stdevfz0(in1, size1, in2, size2)				zstdevfa(in1, size1[0], size1[1], in2)
+
+
+/*by rows or columns */
+
+#define s0c0s0stdevfs0(in1,in2,in3)				(in3==1) ? creals(crowstdevfs(FloatComplex(in1, 0.0f),in2)) : creals(ccolumnstdevfs(FloatComplex(in1, 0.0f),in2))	
+
+#define d0z0d0stdevfd0(in1,in2,in3)				(in3==1) ? zreals(zrowstdevfs(DoubleComplex(in1, 0.0),in2)) : zreals(zcolumnstdevfs(DoubleComplex(in1, 0.0),in2))	
+
+#define c0c0s0stdevfc0(in1,in2,in3)				(in3==1) ? crowstdevfs(in1,in2) : ccolumnstdevfs(in1,in2)	
+
+#define z0z0d0stdevfz0(in1,in2,in3)				(in3==1) ? zrowstdevfs(in1,in2) : zcolumnstdevfs(in1,in2)
+	
+
+#define s2c2s0stdevfs2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								crowstdevfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,FloatComplexMatrix(out,temp,size1[0]*size1[1]));\
+								free(temp);\
+								}\
+								else\
+								{float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								ccolumnstdevfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,FloatComplexMatrix(out,temp,size1[0]*size1[1]));\
+								free(temp);\
+								}	
+
+#define d2z2d0stdevfd2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowstdevfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,DoubleComplexMatrix(out,temp,size1[0]));\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnstdevfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,DoubleComplexMatrix(out,temp,size1[0]));\
+								free(temp);\
+								}	
+
+
+/*complex output*/
+
+#define s2c2s0stdevfc2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								crowstdevfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{float* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(float));\
+								sfilla(temp,size1[0],size1[1],0);\
+								ccolumnstdevfa(FloatComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+#define d2z2d0stdevfz2(in1, size1, in2, size2,in3,out)		if (in3 == 1) {double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zrowstdevfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}\
+								else\
+								{double* temp;\
+								temp=malloc((uint)(size1[0]*size1[1])*sizeof(double));\
+								dfilla(temp,size1[0],size1[1],0);\
+								zcolumnstdevfa(DoubleComplexMatrix(in1,temp,size1[0]*size1[1]),size1[0],size1[1],in2,out);\
+								free(temp);\
+								}	
+
+
+
+#define c2c2s0stdevfc2(in1, size1, in2, size2,in3,out)		(in3==1) ? crowstdevfa(in1,size1[0],size1[1],in2,out) : ccolumnstdevfa(in1,size1[0],size1[1],in2,out)
+
+#define z2z2d0stdevfz2(in1, size1, in2, size2,in3,out)		(in3==1) ? zrowstdevfa(in1,size1[0],size1[1],in2,out) : zcolumnstdevfa(in1,size1[0],size1[1],in2,out)	
+
+
+/**/
+
+#endif /* !__INT_STDEVF_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_sum.h b/src/c/statisticsFunctions/interfaces/int_sum.h
new file mode 100644
index 0000000..08f01fe
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_sum.h
@@ -0,0 +1,70 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_SUM_H__
+#define __INT_SUM_H__
+
+#define s0sums0(in)				ssums(in)
+
+#define d0sumd0(in)				dsums(in)
+
+#define c0sumc0(in)				csums(in)
+
+#define z0sumz0(in)				zsums(in)
+
+#define s2sums0(in,size)			ssuma(in, size[0]*size[1])
+
+#define d2sumd0(in,size)			dsuma(in, size[0]*size[1])
+
+#define c2sumc0(in,size)			csuma(in, size[0]*size[1])
+
+#define z2sumz0(in,size)			zsuma(in, size[0]*size[1])
+
+
+#define s0s0sums0(in1,in2)			(in2==1) ? srowsums(in1) : scolumnsums(in1)	
+
+#define d0d0sumd0(in1,in2)			(in2==1) ? drowsums(in1) : dcolumnsums(in1)	
+
+#define c0s0sumc0(in1,in2)			(in2==1) ? crowsums(in1) : ccolumnsums(in1)	
+
+#define z0d0sumz0(in1,in2)			(in2==1) ? zrowsums(in1) : zcolumnsums(in1)	
+
+#define s2s0sums2(in1,size,in2,out)		(in2==1) ? srowsuma(in1,size[0],size[1],out) : scolumnsuma(in1,size[0],size[1],out)	
+
+#define d2d0sumd2(in1,size,in2,out)		(in2==1) ? drowsuma(in1,size[0],size[1],out) : dcolumnsuma(in1,size[0],size[1],out)
+
+#define c2s0sumc2(in1,size,in2,out)		(in2==1) ? crowsuma(in1,size[0],size[1],out) : ccolumnsuma(in1,size[0],size[1],out)
+
+#define z2d0sumz2(in1,size,in2,out)		(in2==1) ? zrowsuma(in1,size[0],size[1],out) : zcolumnsuma(in1,size[0],size[1],out)	
+		
+		
+/*'r'  and 'c' case  */	
+#define s0g2sums0(in1,in2,size2)			(in2[0]=='r') ? srowsums(in1) : scolumnsums(in1)	
+
+#define d0g2sumd0(in1,in2,size2)			(in2[0]=='r') ? drowsums(in1) : dcolumnsums(in1)	
+
+#define c0g2sumc0(in1,in2,size2)			(in2[0]=='r') ? crowsums(in1) : ccolumnsums(in1)	
+
+#define z0g2sumz0(in1,in2,size2)			(in2[0]=='r') ? zrowsums(in1) : zcolumnsums(in1)	
+
+#define s2g2sums2(in1,size,in2,size2,out)		(in2[0]=='r') ? srowsuma(in1,size[0],size[1],out) : scolumnsuma(in1,size[0],size[1],out)	
+
+#define d2g2sumd2(in1,size,in2,size2,out)		(in2[0]=='r') ? drowsuma(in1,size[0],size[1],out) : dcolumnsuma(in1,size[0],size[1],out)
+
+#define c2g2sumc2(in1,size,in2,size2,out)		(in2[0]=='r') ? crowsuma(in1,size[0],size[1],out) : ccolumnsuma(in1,size[0],size[1],out)
+
+#define z2g2sumz2(in1,size,in2,size2,out)		(in2[0]=='r') ? zrowsuma(in1,size[0],size[1],out) : zcolumnsuma(in1,size[0],size[1],out)	
+	
+
+#endif /* !__INT_SUM_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_variance.h b/src/c/statisticsFunctions/interfaces/int_variance.h
new file mode 100644
index 0000000..dfc191c
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_variance.h
@@ -0,0 +1,71 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_VARIANCE_H__
+#define __INT_VARIANCE_H__
+
+#define s0variances0(in)				svariances(in)
+
+#define d0varianced0(in)				dvariances(in)
+
+#define c0variancec0(in)				cvariances(in)
+	
+#define z0variancez0(in)				zvariances(in)
+
+#define s2variances0(in,size)				svariancea(in, size[0]*size[1])
+
+#define d2varianced0(in,size)				dvariancea(in, size[0]*size[1])
+
+#define c2variancec0(in,size)				cvariancea(in, size[0]*size[1])
+
+#define z2variancez0(in,size)				zvariancea(in, size[0]*size[1])
+
+	
+#define s0s0variances0(in1,in2)			(in2==1) ? srowvariances(in1) : scolumnvariances(in1)	
+
+#define d0d0varianced0(in1,in2)			(in2==1) ? drowvariances(in1) : dcolumnvariances(in1)	
+
+#define c0s0variancec0(in1,in2)			(in2==1) ? crowvariances(in1) : ccolumnvariances(in1)	
+
+#define z0d0variancez0(in1,in2)			(in2==1) ? zrowvariances(in1) : zcolumnvariances(in1)	
+
+#define s2s0variances2(in1,size,in2,out)		(in2==1) ? srowvariancea(in1,size[0],size[1],out) : scolumnvariancea(in1,size[0],size[1],out)	
+
+#define d2d0varianced2(in1,size,in2,out)		(in2==1) ? drowvariancea(in1,size[0],size[1],out) : dcolumnvariancea(in1,size[0],size[1],out)
+
+#define c2s0variancec2(in1,size,in2,out)		(in2==1) ? crowvariancea(in1,size[0],size[1],out) : ccolumnvariancea(in1,size[0],size[1],out)
+
+#define z2d0variancez2(in1,size,in2,out)		(in2==1) ? zrowvariancea(in1,size[0],size[1],out) : zcolumnvariancea(in1,size[0],size[1],out)	
+		
+		
+	/*'r'  and 'c' case  */	
+#define s0g2variances0(in1,in2,size2)			(in2[0]=='r') ? srowvariances(in1) : scolumnvariances(in1)	
+
+#define d0g2varianced0(in1,in2,size2)			(in2[0]=='r') ? drowvariances(in1) : dcolumnvariances(in1)	
+
+#define c0g2variancec0(in1,in2,size2)			(in2[0]=='r') ? crowvariances(in1) : ccolumnvariances(in1)	
+
+#define z0g2variancez0(in1,in2,size2)			(in2[0]=='r') ? zrowvariances(in1) : zcolumnvariances(in1)	
+
+#define s2g2variances2(in1,size,in2,size2,out)		(in2[0]=='r') ? srowvariancea(in1,size[0],size[1],out) : scolumnvariancea(in1,size[0],size[1],out)	
+
+#define d2g2varianced2(in1,size,in2,size2,out)		(in2[0]=='r') ? drowvariancea(in1,size[0],size[1],out) : dcolumnvariancea(in1,size[0],size[1],out)
+
+#define c2g2variancec2(in1,size,in2,size2,out)		(in2[0]=='r') ? crowvariancea(in1,size[0],size[1],out) : ccolumnvariancea(in1,size[0],size[1],out)
+
+#define z2g2variancez2(in1,size,in2,size2,out)		(in2[0]=='r') ? zrowvariancea(in1,size[0],size[1],out) : zcolumnvariancea(in1,size[0],size[1],out)	
+	
+	
+
+#endif /* !__INT_VARIANCE_H__ */
diff --git a/src/c/statisticsFunctions/interfaces/int_variancef.h b/src/c/statisticsFunctions/interfaces/int_variancef.h
new file mode 100644
index 0000000..dfac1a3
--- /dev/null
+++ b/src/c/statisticsFunctions/interfaces/int_variancef.h
@@ -0,0 +1,58 @@
+/*
+ * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ * 
+ * This file must be used under the terms of the CeCILL.
+ * This source file is licensed as described in the file COPYING, which
+ * you should have received as part of this distribution.  The terms
+ * are also available at    
+ * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */
+
+#ifndef __INT_VARIANCEF_H__
+#define __INT_VARIANCEF_H__
+
+#define s0s0variancefs0(in1,in2)					svariancefs(in1,in2)
+
+#define d0d0variancefd0(in1,in2)					dvariancefs(in1,in2)
+
+#define c0s0variancefc0(in1,in2)					cvariancefs(in1,in2)
+
+#define z0d0variancefz0(in1,in2)					zvariancefs(in1,in2)
+
+#define s2s2variancefs0(in1, size1, in2, size2)				svariancefa(in1, size1[0]*size1[1], in2)
+
+#define d2d2variancefd0(in1, size1, in2, size2)				dvariancefa(in1, size1[0]*size1[1], in2)
+
+#define c2s2variancefc0(in1, size1, in2, size2)				cvariancefv(in1, size1[0], size1[1], in2)
+
+#define z2d2variancefz0(in1, size1, in2, size2)				zvariancefv(in1, size1[0], size1[1], in2)
+
+
+/*by rows or columns */
+
+#define s0s0s0variancefs0(in1,in2,in3)				(in3==1) ? srowvariancefs(in1,in2) : scolumnvariancefs(in1,in2)	
+
+#define d0d0d0variancefd0(in1,in2,in3)				(in3==1) ? drowvariancefs(in1,in2) : dcolumnvariancefs(in1,in2)	
+
+#define c0s0s0variancefc0(in1,in2,in3)				(in3==1) ? crowvariancefs(in1,in2) : ccolumnvariancefs(in1,in2)	
+
+#define z0d0d0variancefz0(in1,in2,in3)				(in3==1) ? zrowvariancefs(in1,in2) : zcolumnvariancefs(in1,in2)	
+
+#define s2s2s0variancefs2(in1, size1, in2, size2,in3,out)		(in3==1) ? srowvariancefa(in1,size1[0],size1[1],in2,out) : scolumnvariancefa(in1,size1[0],size1[1],in2,out)	
+
+#define d2d2d0variancefd2(in1, size1, in2, size2,in3,out)		(in3==1) ? drowvariancefa(in1,size1[0],size1[1],in2,out) : dcolumnvariancefa(in1,size1[0],size1[1],in2,out)
+
+#define c2s2s0variancefc2(in1, size1, in2, size2,in3,out)		(in3==1) ? crowvariancefa(in1,size1[0],size1[1],in2,out) : ccolumnvariancefa(in1,size1[0],size1[1],in2,out)
+
+#define z2d2d0variancefz2(in1, size1, in2, size2,in3,out)		(in3==1) ? zrowvariancefa(in1,size1[0],size1[1],in2,out) : zcolumnvariancefa(in1,size1[0],size1[1],in2,out)	
+		
+/*
+#define d2d2d0variancefd2(in1,size1,in2,size2 ,in3 ,out)		(in3==1) ? drowvariancefa(in1,size1[0],size1[1],in2 ,out) : dcolumnvariancefa(in1,size1[0],size1[1], in2,out)		
+*/	
+	
+
+#endif /* !__INT_VARIANCEF_H__ */
diff --git a/src/c/statisticsFunctions/max/Makefile.am b/src/c/statisticsFunctions/max/Makefile.am
new file mode 100644
index 0000000..8c12256
--- /dev/null
+++ b/src/c/statisticsFunctions/max/Makefile.am
@@ -0,0 +1,51 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libMax_la_CFLAGS =	-I $(top_builddir)/src/c/statisticsFunctions/includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libMax.la
+
+libMax_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	smaxa.c \
+		srowmaxa.c \
+		scolumnmaxa.c \
+		dmaxa.c \
+		drowmaxa.c \
+		dcolumnmaxa.c
+
+HEAD	=	../includes/statMax.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes
+
+check_LDADD	=	$(top_builddir)/src/c/statisticsFunctions/max/libMax.la
+
+check_PROGRAMS	= 	testFloatMax testDoubleMax
+
+TESTS		=	testFloatMax testDoubleMax
+
+#
+# -*- Max Tests -*-
+#
+testFloatMax_SOURCES = testFloatMax.c
+testFloatMax_CFLAGS =	$(check_INCLUDES)
+testFloatMax_LDADD =	$(check_LDADD)
+
+testDoubleMax_SOURCES =testDoubleMax.c
+testDoubleMax_CFLAGS =	$(check_INCLUDES)
+testDoubleMax_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/max/Makefile.in b/src/c/statisticsFunctions/max/Makefile.in
new file mode 100644
index 0000000..5298c5a
--- /dev/null
+++ b/src/c/statisticsFunctions/max/Makefile.in
@@ -0,0 +1,759 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
+pkgincludedir = $(includedir)/@PACKAGE@
+pkglibdir = $(libdir)/@PACKAGE@
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+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
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+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatMax$(EXEEXT) testDoubleMax$(EXEEXT)
+TESTS = testFloatMax$(EXEEXT) testDoubleMax$(EXEEXT)
+subdir = src/c/statisticsFunctions/max
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
+ACLOCAL_M4 = $(top_srcdir)/aclocal.m4
+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
+	$(ACLOCAL_M4)
+mkinstalldirs = $(install_sh) -d
+CONFIG_HEADER = $(top_builddir)/includes/machine.h
+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
+am__nobase_strip_setup = \
+  srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*|]/\\\\&/g'`
+am__nobase_strip = \
+  for p in $$list; do echo "$$p"; done | sed -e "s|$$srcdirstrip/||"
+am__nobase_list = $(am__nobase_strip_setup); \
+  for p in $$list; do echo "$$p $$p"; done | \
+  sed "s| $$srcdirstrip/| |;"' / .*\//!s/ .*/ ./; s,\( .*\)/[^/]*$$,\1,' | \
+  $(AWK) 'BEGIN { files["."] = "" } { files[$$2] = files[$$2] " " $$1; \
+    if (++n[$$2] == $(am__install_max)) \
+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
+    END { for (dir in files) print dir, files[dir] }'
+am__base_list = \
+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
+  sed '$$!N;$$!N;$$!N;$$!N;s/\n/ /g'
+am__installdirs = "$(DESTDIR)$(pkglibdir)"
+LTLIBRARIES = $(pkglib_LTLIBRARIES)
+libMax_la_LIBADD =
+am__objects_1 =
+am__objects_2 = libMax_la-smaxa.lo libMax_la-srowmaxa.lo \
+	libMax_la-scolumnmaxa.lo libMax_la-dmaxa.lo \
+	libMax_la-drowmaxa.lo libMax_la-dcolumnmaxa.lo
+am_libMax_la_OBJECTS = $(am__objects_1) $(am__objects_2)
+libMax_la_OBJECTS = $(am_libMax_la_OBJECTS)
+libMax_la_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libMax_la_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testDoubleMax_OBJECTS = testDoubleMax-testDoubleMax.$(OBJEXT)
+testDoubleMax_OBJECTS = $(am_testDoubleMax_OBJECTS)
+testDoubleMax_DEPENDENCIES = $(check_LDADD)
+testDoubleMax_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testDoubleMax_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testFloatMax_OBJECTS = testFloatMax-testFloatMax.$(OBJEXT)
+testFloatMax_OBJECTS = $(am_testFloatMax_OBJECTS)
+testFloatMax_DEPENDENCIES = $(check_LDADD)
+testFloatMax_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testFloatMax_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+DEFAULT_INCLUDES = -I.@am__isrc@ -I$(top_builddir)/includes
+depcomp = $(SHELL) $(top_srcdir)/config/depcomp
+am__depfiles_maybe = depfiles
+am__mv = mv -f
+COMPILE = $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) \
+	$(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
+LTCOMPILE = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
+	--mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) \
+	$(AM_CPPFLAGS) $(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
+CCLD = $(CC)
+LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
+	--mode=link $(CCLD) $(AM_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
+SOURCES = $(libMax_la_SOURCES) $(testDoubleMax_SOURCES) \
+	$(testFloatMax_SOURCES)
+DIST_SOURCES = $(libMax_la_SOURCES) $(testDoubleMax_SOURCES) \
+	$(testFloatMax_SOURCES)
+ETAGS = etags
+CTAGS = ctags
+am__tty_colors = \
+red=; grn=; lgn=; blu=; std=
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+AMTAR = @AMTAR@
+AR = @AR@
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+AWK = @AWK@
+CC = @CC@
+CCDEPMODE = @CCDEPMODE@
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+CPP = @CPP@
+CPPFLAGS = @CPPFLAGS@
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+VERSION = @VERSION@
+abs_builddir = @abs_builddir@
+abs_srcdir = @abs_srcdir@
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+abs_top_srcdir = @abs_top_srcdir@
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+infodir = @infodir@
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+target_alias = @target_alias@
+top_build_prefix = @top_build_prefix@
+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libMax_la_CFLAGS = -I $(top_builddir)/src/c/statisticsFunctions/includes
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libMax.la
+libMax_la_SOURCES = $(HEAD) $(SRC)
+SRC = smaxa.c \
+		srowmaxa.c \
+		scolumnmaxa.c \
+		dmaxa.c \
+		drowmaxa.c \
+		dcolumnmaxa.c
+
+HEAD = ../includes/statMax.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes
+check_LDADD = $(top_builddir)/src/c/statisticsFunctions/max/libMax.la
+
+#
+# -*- Max Tests -*-
+#
+testFloatMax_SOURCES = testFloatMax.c
+testFloatMax_CFLAGS = $(check_INCLUDES)
+testFloatMax_LDADD = $(check_LDADD)
+testDoubleMax_SOURCES = testDoubleMax.c
+testDoubleMax_CFLAGS = $(check_INCLUDES)
+testDoubleMax_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
+.SUFFIXES: .c .lo .o .obj
+$(srcdir)/Makefile.in: @MAINTAINER_MODE_TRUE@ $(srcdir)/Makefile.am  $(am__configure_deps)
+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
+	      ( cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh ) \
+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
+	  esac; \
+	done; \
+	echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/max/Makefile'; \
+	$(am__cd) $(top_srcdir) && \
+	  $(AUTOMAKE) --foreign src/c/statisticsFunctions/max/Makefile
+.PRECIOUS: Makefile
+Makefile: $(srcdir)/Makefile.in $(top_builddir)/config.status
+	@case '$?' in \
+	  *config.status*) \
+	    cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh;; \
+	  *) \
+	    echo ' cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe)'; \
+	    cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe);; \
+	esac;
+
+$(top_builddir)/config.status: $(top_srcdir)/configure $(CONFIG_STATUS_DEPENDENCIES)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+
+$(top_srcdir)/configure: @MAINTAINER_MODE_TRUE@ $(am__configure_deps)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+$(ACLOCAL_M4): @MAINTAINER_MODE_TRUE@ $(am__aclocal_m4_deps)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+$(am__aclocal_m4_deps):
+install-pkglibLTLIBRARIES: $(pkglib_LTLIBRARIES)
+	@$(NORMAL_INSTALL)
+	test -z "$(pkglibdir)" || $(MKDIR_P) "$(DESTDIR)$(pkglibdir)"
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	list2=; for p in $$list; do \
+	  if test -f $$p; then \
+	    list2="$$list2 $$p"; \
+	  else :; fi; \
+	done; \
+	test -z "$$list2" || { \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 '$(DESTDIR)$(pkglibdir)'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+	}
+
+uninstall-pkglibLTLIBRARIES:
+	@$(NORMAL_UNINSTALL)
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	for p in $$list; do \
+	  $(am__strip_dir) \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f '$(DESTDIR)$(pkglibdir)/$$f'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+	done
+
+clean-pkglibLTLIBRARIES:
+	-test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libMax.la: $(libMax_la_OBJECTS) $(libMax_la_DEPENDENCIES) 
+	$(libMax_la_LINK) -rpath $(pkglibdir) $(libMax_la_OBJECTS) $(libMax_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
+testDoubleMax$(EXEEXT): $(testDoubleMax_OBJECTS) $(testDoubleMax_DEPENDENCIES) 
+	@rm -f testDoubleMax$(EXEEXT)
+	$(testDoubleMax_LINK) $(testDoubleMax_OBJECTS) $(testDoubleMax_LDADD) $(LIBS)
+testFloatMax$(EXEEXT): $(testFloatMax_OBJECTS) $(testFloatMax_DEPENDENCIES) 
+	@rm -f testFloatMax$(EXEEXT)
+	$(testFloatMax_LINK) $(testFloatMax_OBJECTS) $(testFloatMax_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
+
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libMax_la-dcolumnmaxa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libMax_la-dmaxa.Plo@am__quote@
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+.c.o:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
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+.c.lo:
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+@am__fastdepCC_FALSE@	$(LTCOMPILE) -c -o $@ $<
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+libMax_la-smaxa.lo: smaxa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libMax_la_CFLAGS) $(CFLAGS) -MT libMax_la-smaxa.lo -MD -MP -MF $(DEPDIR)/libMax_la-smaxa.Tpo -c -o libMax_la-smaxa.lo `test -f 'smaxa.c' || echo '$(srcdir)/'`smaxa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libMax_la-smaxa.Tpo $(DEPDIR)/libMax_la-smaxa.Plo
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+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
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+
+libMax_la-srowmaxa.lo: srowmaxa.c
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+
+libMax_la-scolumnmaxa.lo: scolumnmaxa.c
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+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libMax_la-scolumnmaxa.Tpo $(DEPDIR)/libMax_la-scolumnmaxa.Plo
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+
+libMax_la-dmaxa.lo: dmaxa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libMax_la_CFLAGS) $(CFLAGS) -MT libMax_la-dmaxa.lo -MD -MP -MF $(DEPDIR)/libMax_la-dmaxa.Tpo -c -o libMax_la-dmaxa.lo `test -f 'dmaxa.c' || echo '$(srcdir)/'`dmaxa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libMax_la-dmaxa.Tpo $(DEPDIR)/libMax_la-dmaxa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='dmaxa.c' object='libMax_la-dmaxa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
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+
+libMax_la-drowmaxa.lo: drowmaxa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libMax_la_CFLAGS) $(CFLAGS) -MT libMax_la-drowmaxa.lo -MD -MP -MF $(DEPDIR)/libMax_la-drowmaxa.Tpo -c -o libMax_la-drowmaxa.lo `test -f 'drowmaxa.c' || echo '$(srcdir)/'`drowmaxa.c
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+libMax_la-dcolumnmaxa.lo: dcolumnmaxa.c
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+
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+
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+
+testFloatMax-testFloatMax.o: testFloatMax.c
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+@am__fastdepCC_FALSE@	$(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(testFloatMax_CFLAGS) $(CFLAGS) -c -o testFloatMax-testFloatMax.o `test -f 'testFloatMax.c' || echo '$(srcdir)/'`testFloatMax.c
+
+testFloatMax-testFloatMax.obj: testFloatMax.c
+@am__fastdepCC_TRUE@	$(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(testFloatMax_CFLAGS) $(CFLAGS) -MT testFloatMax-testFloatMax.obj -MD -MP -MF $(DEPDIR)/testFloatMax-testFloatMax.Tpo -c -o testFloatMax-testFloatMax.obj `if test -f 'testFloatMax.c'; then $(CYGPATH_W) 'testFloatMax.c'; else $(CYGPATH_W) '$(srcdir)/testFloatMax.c'; fi`
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/testFloatMax-testFloatMax.Tpo $(DEPDIR)/testFloatMax-testFloatMax.Po
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='testFloatMax.c' object='testFloatMax-testFloatMax.obj' libtool=no @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(testFloatMax_CFLAGS) $(CFLAGS) -c -o testFloatMax-testFloatMax.obj `if test -f 'testFloatMax.c'; then $(CYGPATH_W) 'testFloatMax.c'; else $(CYGPATH_W) '$(srcdir)/testFloatMax.c'; fi`
+
+mostlyclean-libtool:
+	-rm -f *.lo
+
+clean-libtool:
+	-rm -rf .libs _libs
+
+ID: $(HEADERS) $(SOURCES) $(LISP) $(TAGS_FILES)
+	list='$(SOURCES) $(HEADERS) $(LISP) $(TAGS_FILES)'; \
+	unique=`for i in $$list; do \
+	    if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
+	  done | \
+	  $(AWK) '{ files[$$0] = 1; nonempty = 1; } \
+	      END { if (nonempty) { for (i in files) print i; }; }'`; \
+	mkid -fID $$unique
+tags: TAGS
+
+TAGS:  $(HEADERS) $(SOURCES)  $(TAGS_DEPENDENCIES) \
+		$(TAGS_FILES) $(LISP)
+	set x; \
+	here=`pwd`; \
+	list='$(SOURCES) $(HEADERS)  $(LISP) $(TAGS_FILES)'; \
+	unique=`for i in $$list; do \
+	    if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
+	  done | \
+	  $(AWK) '{ files[$$0] = 1; nonempty = 1; } \
+	      END { if (nonempty) { for (i in files) print i; }; }'`; \
+	shift; \
+	if test -z "$(ETAGS_ARGS)$$*$$unique"; then :; else \
+	  test -n "$$unique" || unique=$$empty_fix; \
+	  if test $$# -gt 0; then \
+	    $(ETAGS) $(ETAGSFLAGS) $(AM_ETAGSFLAGS) $(ETAGS_ARGS) \
+	      "$$@" $$unique; \
+	  else \
+	    $(ETAGS) $(ETAGSFLAGS) $(AM_ETAGSFLAGS) $(ETAGS_ARGS) \
+	      $$unique; \
+	  fi; \
+	fi
+ctags: CTAGS
+CTAGS:  $(HEADERS) $(SOURCES)  $(TAGS_DEPENDENCIES) \
+		$(TAGS_FILES) $(LISP)
+	list='$(SOURCES) $(HEADERS)  $(LISP) $(TAGS_FILES)'; \
+	unique=`for i in $$list; do \
+	    if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
+	  done | \
+	  $(AWK) '{ files[$$0] = 1; nonempty = 1; } \
+	      END { if (nonempty) { for (i in files) print i; }; }'`; \
+	test -z "$(CTAGS_ARGS)$$unique" \
+	  || $(CTAGS) $(CTAGSFLAGS) $(AM_CTAGSFLAGS) $(CTAGS_ARGS) \
+	     $$unique
+
+GTAGS:
+	here=`$(am__cd) $(top_builddir) && pwd` \
+	  && $(am__cd) $(top_srcdir) \
+	  && gtags -i $(GTAGS_ARGS) "$$here"
+
+distclean-tags:
+	-rm -f TAGS ID GTAGS GRTAGS GSYMS GPATH tags
+
+check-TESTS: $(TESTS)
+	@failed=0; all=0; xfail=0; xpass=0; skip=0; \
+	srcdir=$(srcdir); export srcdir; \
+	list=' $(TESTS) '; \
+	$(am__tty_colors); \
+	if test -n "$$list"; then \
+	  for tst in $$list; do \
+	    if test -f ./$$tst; then dir=./; \
+	    elif test -f $$tst; then dir=; \
+	    else dir="$(srcdir)/"; fi; \
+	    if $(TESTS_ENVIRONMENT) $${dir}$$tst; then \
+	      all=`expr $$all + 1`; \
+	      case " $(XFAIL_TESTS) " in \
+	      *[\ \	]$$tst[\ \	]*) \
+		xpass=`expr $$xpass + 1`; \
+		failed=`expr $$failed + 1`; \
+		col=$$red; res=XPASS; \
+	      ;; \
+	      *) \
+		col=$$grn; res=PASS; \
+	      ;; \
+	      esac; \
+	    elif test $$? -ne 77; then \
+	      all=`expr $$all + 1`; \
+	      case " $(XFAIL_TESTS) " in \
+	      *[\ \	]$$tst[\ \	]*) \
+		xfail=`expr $$xfail + 1`; \
+		col=$$lgn; res=XFAIL; \
+	      ;; \
+	      *) \
+		failed=`expr $$failed + 1`; \
+		col=$$red; res=FAIL; \
+	      ;; \
+	      esac; \
+	    else \
+	      skip=`expr $$skip + 1`; \
+	      col=$$blu; res=SKIP; \
+	    fi; \
+	    echo "$${col}$$res$${std}: $$tst"; \
+	  done; \
+	  if test "$$all" -eq 1; then \
+	    tests="test"; \
+	    All=""; \
+	  else \
+	    tests="tests"; \
+	    All="All "; \
+	  fi; \
+	  if test "$$failed" -eq 0; then \
+	    if test "$$xfail" -eq 0; then \
+	      banner="$$All$$all $$tests passed"; \
+	    else \
+	      if test "$$xfail" -eq 1; then failures=failure; else failures=failures; fi; \
+	      banner="$$All$$all $$tests behaved as expected ($$xfail expected $$failures)"; \
+	    fi; \
+	  else \
+	    if test "$$xpass" -eq 0; then \
+	      banner="$$failed of $$all $$tests failed"; \
+	    else \
+	      if test "$$xpass" -eq 1; then passes=pass; else passes=passes; fi; \
+	      banner="$$failed of $$all $$tests did not behave as expected ($$xpass unexpected $$passes)"; \
+	    fi; \
+	  fi; \
+	  dashes="$$banner"; \
+	  skipped=""; \
+	  if test "$$skip" -ne 0; then \
+	    if test "$$skip" -eq 1; then \
+	      skipped="($$skip test was not run)"; \
+	    else \
+	      skipped="($$skip tests were not run)"; \
+	    fi; \
+	    test `echo "$$skipped" | wc -c` -le `echo "$$banner" | wc -c` || \
+	      dashes="$$skipped"; \
+	  fi; \
+	  report=""; \
+	  if test "$$failed" -ne 0 && test -n "$(PACKAGE_BUGREPORT)"; then \
+	    report="Please report to $(PACKAGE_BUGREPORT)"; \
+	    test `echo "$$report" | wc -c` -le `echo "$$banner" | wc -c` || \
+	      dashes="$$report"; \
+	  fi; \
+	  dashes=`echo "$$dashes" | sed s/./=/g`; \
+	  if test "$$failed" -eq 0; then \
+	    echo "$$grn$$dashes"; \
+	  else \
+	    echo "$$red$$dashes"; \
+	  fi; \
+	  echo "$$banner"; \
+	  test -z "$$skipped" || echo "$$skipped"; \
+	  test -z "$$report" || echo "$$report"; \
+	  echo "$$dashes$$std"; \
+	  test "$$failed" -eq 0; \
+	else :; fi
+
+distdir: $(DISTFILES)
+	@srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*]/\\\\&/g'`; \
+	topsrcdirstrip=`echo "$(top_srcdir)" | sed 's/[].[^$$\\*]/\\\\&/g'`; \
+	list='$(DISTFILES)'; \
+	  dist_files=`for file in $$list; do echo $$file; done | \
+	  sed -e "s|^$$srcdirstrip/||;t" \
+	      -e "s|^$$topsrcdirstrip/|$(top_builddir)/|;t"`; \
+	case $$dist_files in \
+	  */*) $(MKDIR_P) `echo "$$dist_files" | \
+			   sed '/\//!d;s|^|$(distdir)/|;s,/[^/]*$$,,' | \
+			   sort -u` ;; \
+	esac; \
+	for file in $$dist_files; do \
+	  if test -f $$file || test -d $$file; then d=.; else d=$(srcdir); fi; \
+	  if test -d $$d/$$file; then \
+	    dir=`echo "/$$file" | sed -e 's,/[^/]*$$,,'`; \
+	    if test -d "$(distdir)/$$file"; then \
+	      find "$(distdir)/$$file" -type d ! -perm -700 -exec chmod u+rwx {} \;; \
+	    fi; \
+	    if test -d $(srcdir)/$$file && test $$d != $(srcdir); then \
+	      cp -fpR $(srcdir)/$$file "$(distdir)$$dir" || exit 1; \
+	      find "$(distdir)/$$file" -type d ! -perm -700 -exec chmod u+rwx {} \;; \
+	    fi; \
+	    cp -fpR $$d/$$file "$(distdir)$$dir" || exit 1; \
+	  else \
+	    test -f "$(distdir)/$$file" \
+	    || cp -p $$d/$$file "$(distdir)/$$file" \
+	    || exit 1; \
+	  fi; \
+	done
+check-am: all-am
+	$(MAKE) $(AM_MAKEFLAGS) $(check_PROGRAMS)
+	$(MAKE) $(AM_MAKEFLAGS) check-TESTS
+check: check-am
+all-am: Makefile $(LTLIBRARIES)
+installdirs:
+	for dir in "$(DESTDIR)$(pkglibdir)"; do \
+	  test -z "$$dir" || $(MKDIR_P) "$$dir"; \
+	done
+install: install-am
+install-exec: install-exec-am
+install-data: install-data-am
+uninstall: uninstall-am
+
+install-am: all-am
+	@$(MAKE) $(AM_MAKEFLAGS) install-exec-am install-data-am
+
+installcheck: installcheck-am
+install-strip:
+	$(MAKE) $(AM_MAKEFLAGS) INSTALL_PROGRAM="$(INSTALL_STRIP_PROGRAM)" \
+	  install_sh_PROGRAM="$(INSTALL_STRIP_PROGRAM)" INSTALL_STRIP_FLAG=-s \
+	  `test -z '$(STRIP)' || \
+	    echo "INSTALL_PROGRAM_ENV=STRIPPROG='$(STRIP)'"` install
+mostlyclean-generic:
+
+clean-generic:
+
+distclean-generic:
+	-test -z "$(CONFIG_CLEAN_FILES)" || rm -f $(CONFIG_CLEAN_FILES)
+	-test . = "$(srcdir)" || test -z "$(CONFIG_CLEAN_VPATH_FILES)" || rm -f $(CONFIG_CLEAN_VPATH_FILES)
+
+maintainer-clean-generic:
+	@echo "This command is intended for maintainers to use"
+	@echo "it deletes files that may require special tools to rebuild."
+clean: clean-am
+
+clean-am: clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES mostlyclean-am
+
+distclean: distclean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+distclean-am: clean-am distclean-compile distclean-generic \
+	distclean-tags
+
+dvi: dvi-am
+
+dvi-am:
+
+html: html-am
+
+html-am:
+
+info: info-am
+
+info-am:
+
+install-data-am:
+
+install-dvi: install-dvi-am
+
+install-dvi-am:
+
+install-exec-am: install-pkglibLTLIBRARIES
+
+install-html: install-html-am
+
+install-html-am:
+
+install-info: install-info-am
+
+install-info-am:
+
+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am: uninstall-pkglibLTLIBRARIES
+
+.MAKE: check-am install-am install-strip
+
+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/max/dcolumnmaxa.c b/src/c/statisticsFunctions/max/dcolumnmaxa.c
new file mode 100644
index 0000000..ec71777
--- /dev/null
+++ b/src/c/statisticsFunctions/max/dcolumnmaxa.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMax.h"
+
+void dcolumnmaxa(double *in, int rows, int columns, double* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]>out[i]) 
+                   out[i] = in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/dmaxa.c b/src/c/statisticsFunctions/max/dmaxa.c
new file mode 100644
index 0000000..7292f3c
--- /dev/null
+++ b/src/c/statisticsFunctions/max/dmaxa.c
@@ -0,0 +1,26 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMax.h"
+
+double dmaxa(double *in, int size) {
+  double out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out) 
+        out = in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/drowmaxa.c b/src/c/statisticsFunctions/max/drowmaxa.c
new file mode 100644
index 0000000..596c535
--- /dev/null
+++ b/src/c/statisticsFunctions/max/drowmaxa.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMax.h"
+
+void drowmaxa(double *in, int rows, int columns, double* out) {
+  int i = 0, j = 0;
+    for (i = 0; i < columns; i++)
+   {
+	  out[i]=in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]>out[i]) 
+                    out[i] = in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/max/i16columnmaxa.c b/src/c/statisticsFunctions/max/i16columnmaxa.c
new file mode 100644
index 0000000..87cc579
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i16columnmaxa.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+void i16columnmaxa(int16 *in, int rows, int columns, int16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(int16)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]>out[i]) 
+                    out[i] = (int16)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/i16maxa.c b/src/c/statisticsFunctions/max/i16maxa.c
new file mode 100644
index 0000000..b2eab34
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i16maxa.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+int16 i16maxa(int16 *in, int size) {
+  int16 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out)
+          out = (int16)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/i16rowmaxa.c b/src/c/statisticsFunctions/max/i16rowmaxa.c
new file mode 100644
index 0000000..46c4ae2
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i16rowmaxa.c
@@ -0,0 +1,24 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+void i16rowmaxa(int16 *in, int rows, int columns, int16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(int16)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]>out[i])
+                     out[i] = (int16)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/max/i8columnmaxa.c b/src/c/statisticsFunctions/max/i8columnmaxa.c
new file mode 100644
index 0000000..6c7ea25
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i8columnmaxa.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+void i8columnmaxa(int8 *in, int rows, int columns, int8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(int8)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]>out[i])
+                   out[i] = (int8)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/i8maxa.c b/src/c/statisticsFunctions/max/i8maxa.c
new file mode 100644
index 0000000..d57b995
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i8maxa.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+#include "statMax.h"
+
+int8 i8maxa(int8 *in, int size) {
+  int8 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out) 
+        out = (int8)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/i8rowmaxa.c b/src/c/statisticsFunctions/max/i8rowmaxa.c
new file mode 100644
index 0000000..677c61c
--- /dev/null
+++ b/src/c/statisticsFunctions/max/i8rowmaxa.c
@@ -0,0 +1,24 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+void i8rowmaxa(int8 *in, int rows, int columns, int8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(int8)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]>out[i]) 
+                     out[i] = (int8)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/max/scolumnmaxa.c b/src/c/statisticsFunctions/max/scolumnmaxa.c
new file mode 100644
index 0000000..185ab98
--- /dev/null
+++ b/src/c/statisticsFunctions/max/scolumnmaxa.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMax.h"
+
+void scolumnmaxa(float *in, int rows, int columns, float* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]>out[i]) out[i] = in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/smaxa.c b/src/c/statisticsFunctions/max/smaxa.c
new file mode 100644
index 0000000..3410fae
--- /dev/null
+++ b/src/c/statisticsFunctions/max/smaxa.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+#include "statMax.h"
+
+
+float smaxa(float *in, int size) {
+  float out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out) out = in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/srowmaxa.c b/src/c/statisticsFunctions/max/srowmaxa.c
new file mode 100644
index 0000000..8f3b30e
--- /dev/null
+++ b/src/c/statisticsFunctions/max/srowmaxa.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+#include "statMax.h"
+
+
+void srowmaxa(float *in, int rows, int columns, float* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]>out[i]) out[i] = in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/max/testDoubleMax.c b/src/c/statisticsFunctions/max/testDoubleMax.c
new file mode 100644
index 0000000..883b427
--- /dev/null
+++ b/src/c/statisticsFunctions/max/testDoubleMax.c
@@ -0,0 +1,93 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud Torset
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "statMax.h"
+//#include "max.h"
+#include "assert.h"
+#include "stdio.h"
+
+
+static void dmaxaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	double out;
+	
+	out = dmaxa(in,12);
+	assert(out-7==0);
+	
+}
+
+
+static void drowmaxaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};	
+	double result2[2]={7,5};
+	double result3[3]={7,6,5};
+	double result4[4]={7,6,4,5};
+	double result6[6]={5,7,6,4,5,4};
+	double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	int i;
+	
+	
+	drowmaxa(in,12,1,out1);
+	drowmaxa(in,6,2,out2);
+	drowmaxa(in,4,3,out3);
+	drowmaxa(in,3,4,out4);
+	drowmaxa(in,2,6,out6);
+	drowmaxa(in,1,12,out12);
+	
+	assert(out1[0]-7==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+
+static void dcolumnmaxaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	double result2[2]={7,6};
+	double result3[3]={5,5,7};
+	double result4[4]={4,6,7,3};
+	double result6[6]={4,5,7,5,4,6};
+	int i;
+	
+	
+	
+	dcolumnmaxa(in,12,1,out12);
+	dcolumnmaxa(in,6,2,out6);
+	dcolumnmaxa(in,4,3,out4);
+	dcolumnmaxa(in,3,4,out3);
+	dcolumnmaxa(in,2,6,out2);
+	dcolumnmaxa(in,1,12,out1);
+	
+	assert(out1[0]-7==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+static int maxTest(void){
+	dmaxaTest();
+	drowmaxaTest();
+	dcolumnmaxaTest();
+	return 0;
+}
+
+
+int main(void){
+	assert(maxTest()==0);
+	return 0;
+}
diff --git a/src/c/statisticsFunctions/max/testFloatMax.c b/src/c/statisticsFunctions/max/testFloatMax.c
new file mode 100644
index 0000000..cb572f7
--- /dev/null
+++ b/src/c/statisticsFunctions/max/testFloatMax.c
@@ -0,0 +1,93 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud Torset
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+
+#include "statMax.h"
+//#include "max.h"
+#include "assert.h"
+#include "stdio.h"
+
+static void smaxaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out;
+	
+	out = smaxa(in,12);
+	assert(out-7==0);
+	
+}
+
+
+static void srowmaxaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	float result2[2]={7,5};
+	float result3[3]={7,6,5};
+	float result4[4]={7,6,4,5};
+	float result6[6]={5,7,6,4,5,4};
+	int i;
+	
+	
+	srowmaxa(in,12,1,out1);
+	srowmaxa(in,6,2,out2);
+	srowmaxa(in,4,3,out3);
+	srowmaxa(in,3,4,out4);
+	srowmaxa(in,2,6,out6);
+	srowmaxa(in,1,12,out12);
+	
+	assert(out1[0]-7==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+
+static void scolumnmaxaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	float result2[2]={7,6};
+	float result3[3]={5,5,7};
+	float result4[4]={4,6,7,3};
+	float result6[6]={4,5,7,5,4,6};
+	int i;
+	
+	
+	
+	scolumnmaxa(in,12,1,out12);
+	scolumnmaxa(in,6,2,out6);
+	scolumnmaxa(in,4,3,out4);
+	scolumnmaxa(in,3,4,out3);
+	scolumnmaxa(in,2,6,out2);
+	scolumnmaxa(in,1,12,out1);
+	
+	assert(out1[0]-7==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+static int maxTest(void){
+	smaxaTest();
+	srowmaxaTest();
+	scolumnmaxaTest();
+	return 0;
+}
+
+
+int main(void){
+	assert(maxTest()==0);
+	return 0;
+}
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new file mode 100644
index 0000000..e941486
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new file mode 100644
index 0000000..da865fa
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+  </ImportGroup>

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+  <PropertyGroup>

+    <_ProjectFileVersion>10.0.40219.1</_ProjectFileVersion>

+    <OutDir Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">$(SolutionDir)bin\</OutDir>

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+    <IntDir Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">$(ProjectDir)$(Configuration)\</IntDir>

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+    <LinkIncremental Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">true</LinkIncremental>

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+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">

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+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

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+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

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+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>

+      <FunctionLevelLinking>true</FunctionLevelLinking>

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+      <DebugInformationFormat>ProgramDatabase</DebugInformationFormat>

+    </ClCompile>

+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

+      <GenerateDebugInformation>true</GenerateDebugInformation>

+      <SubSystem>Console</SubSystem>

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+      <Optimization>MaxSpeed</Optimization>

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+      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>

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+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">CompileAsCpp</CompileAs>

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+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">CompileAsCpp</CompileAs>

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+    <ProjectReference Include="..\..\..\type\type.vcxproj">

+      <Project>{9b1bd750-1fef-4d6b-9422-782d16181cee}</Project>

+      <ReferenceOutputAssembly>false</ReferenceOutputAssembly>

+    </ProjectReference>

+    <ProjectReference Include="..\..\statisticsFunctions.vcxproj">

+      <Project>{e11ed064-3bf2-4f70-b66e-3223c737ec60}</Project>

+      <ReferenceOutputAssembly>false</ReferenceOutputAssembly>

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+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />

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new file mode 100644
index 0000000..c529a67
--- /dev/null
+++ b/src/c/statisticsFunctions/max/test_FloatMax/testFloatMax.vcxproj.filters
@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>

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+  <ItemGroup>

+    <Filter Include="Source Files">

+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>

+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>

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+    <Filter Include="Header Files">

+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>

+      <Extensions>h;hpp;hxx;hm;inl;inc;xsd</Extensions>

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+    <Filter Include="Resource Files">

+      <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>

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+    <ClCompile Include="..\testFloatMax.c">

+      <Filter>Source Files</Filter>

+    </ClCompile>

+  </ItemGroup>

+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/max/u16columnmaxa.c b/src/c/statisticsFunctions/max/u16columnmaxa.c
new file mode 100644
index 0000000..5b4f423
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u16columnmaxa.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+void u16columnmaxa(uint16 *in, int rows, int columns, uint16* out) {
+  int i = 0, j = 0;
+  
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(uint16)in[i];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]>out[i]) 
+                   out[i] = (uint16)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/u16maxa.c b/src/c/statisticsFunctions/max/u16maxa.c
new file mode 100644
index 0000000..7c9078d
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u16maxa.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+#include "statMax.h"
+
+uint16 u16maxa(uint16 *in, int size) {
+  uint16 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out) 
+      out = (uint16)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/u16rowmaxa.c b/src/c/statisticsFunctions/max/u16rowmaxa.c
new file mode 100644
index 0000000..eacbe84
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u16rowmaxa.c
@@ -0,0 +1,27 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+#include "statMax.h"
+
+void u16rowmaxa(uint16 *in, int rows, int columns, uint16* out) {
+  int i = 0, j = 0;
+  //out = malloc(columns*sizeof(uint16));
+  for (i = 0; i < columns; i++) 
+      {
+	  out[i]=(uint16)in[i];
+	  for (j = 1 ; j < rows ; j++)
+              {
+     		 if (in[j*columns+i]>out[i]) 
+                    out[i] = (uint16)in[j*columns+i];
+              }
+      }
+  
+}
diff --git a/src/c/statisticsFunctions/max/u8columnmaxa.c b/src/c/statisticsFunctions/max/u8columnmaxa.c
new file mode 100644
index 0000000..ac9bc08
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u8columnmaxa.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+#include "statMax.h"
+
+
+void u8columnmaxa(uint8 *in, int rows, int columns, uint8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) 
+{
+	  out[i]=(uint8)in[0];
+	  for (j=0;j<columns;j++)
+      		if (in[j]>out[i]) 
+                 out[i] = (uint8)in[j];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/max/u8maxa.c b/src/c/statisticsFunctions/max/u8maxa.c
new file mode 100644
index 0000000..3f84af4
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u8maxa.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMax.h"
+
+uint8 u8maxa(uint8 *in, int size) {
+  uint8 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]>out) 
+        out = (uint8)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/max/u8rowmaxa.c b/src/c/statisticsFunctions/max/u8rowmaxa.c
new file mode 100644
index 0000000..0ddae26
--- /dev/null
+++ b/src/c/statisticsFunctions/max/u8rowmaxa.c
@@ -0,0 +1,28 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+#include "statMax.h"
+
+
+void u8rowmaxa(uint8 *in, int rows, int columns, uint8* out) {
+  int i = 0, j = 0;
+ 
+
+  for (i = 0; i < columns; i++) 
+     {
+	  out[i]=(uint8)in[0];
+	  for (j = 0 ; j < rows ; j++)
+             {
+     		 if (in[j]>out[i])
+                   out[i] = (uint8)in[j];
+             }
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/Makefile.am b/src/c/statisticsFunctions/mean/Makefile.am
new file mode 100644
index 0000000..2969a73
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/Makefile.am
@@ -0,0 +1,69 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libMean_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libMean.la
+
+libMean_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	smeana.c \
+		srowmeana.c \
+		scolumnmeana.c \
+		dmeana.c \
+		drowmeana.c \
+		dcolumnmeana.c \
+		cmeana.c \
+		crowmeana.c \
+		ccolumnmeana.c \
+		zmeana.c \
+		zrowmeana.c \
+		zcolumnmeana.c
+
+HEAD	=	../includes/mean.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatMean testDoubleMean
+
+TESTS		=	testFloatMean testDoubleMean
+
+#
+# -*- Mean Tests -*-
+#
+testFloatMean_SOURCES = testFloatMean.c
+testFloatMean_CFLAGS =	$(check_INCLUDES)
+testFloatMean_LDADD =	$(check_LDADD)
+
+testDoubleMean_SOURCES =testDoubleMean.c
+testDoubleMean_CFLAGS =	$(check_INCLUDES)
+testDoubleMean_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/mean/Makefile.in b/src/c/statisticsFunctions/mean/Makefile.in
new file mode 100644
index 0000000..0a05745
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/Makefile.in
@@ -0,0 +1,839 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
+pkgincludedir = $(includedir)/@PACKAGE@
+pkglibdir = $(libdir)/@PACKAGE@
+pkglibexecdir = $(libexecdir)/@PACKAGE@
+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
+install_sh_PROGRAM = $(install_sh) -c
+install_sh_SCRIPT = $(install_sh) -c
+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatMean$(EXEEXT) testDoubleMean$(EXEEXT)
+TESTS = testFloatMean$(EXEEXT) testDoubleMean$(EXEEXT)
+subdir = src/c/statisticsFunctions/mean
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
+ACLOCAL_M4 = $(top_srcdir)/aclocal.m4
+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
+	$(ACLOCAL_M4)
+mkinstalldirs = $(install_sh) -d
+CONFIG_HEADER = $(top_builddir)/includes/machine.h
+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
+am__nobase_strip_setup = \
+  srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*|]/\\\\&/g'`
+am__nobase_strip = \
+  for p in $$list; do echo "$$p"; done | sed -e "s|$$srcdirstrip/||"
+am__nobase_list = $(am__nobase_strip_setup); \
+  for p in $$list; do echo "$$p $$p"; done | \
+  sed "s| $$srcdirstrip/| |;"' / .*\//!s/ .*/ ./; s,\( .*\)/[^/]*$$,\1,' | \
+  $(AWK) 'BEGIN { files["."] = "" } { files[$$2] = files[$$2] " " $$1; \
+    if (++n[$$2] == $(am__install_max)) \
+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
+    END { for (dir in files) print dir, files[dir] }'
+am__base_list = \
+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
+  sed '$$!N;$$!N;$$!N;$$!N;s/\n/ /g'
+am__installdirs = "$(DESTDIR)$(pkglibdir)"
+LTLIBRARIES = $(pkglib_LTLIBRARIES)
+libMean_la_LIBADD =
+am__objects_1 =
+am__objects_2 = libMean_la-smeana.lo libMean_la-srowmeana.lo \
+	libMean_la-scolumnmeana.lo libMean_la-dmeana.lo \
+	libMean_la-drowmeana.lo libMean_la-dcolumnmeana.lo \
+	libMean_la-cmeana.lo libMean_la-crowmeana.lo \
+	libMean_la-ccolumnmeana.lo libMean_la-zmeana.lo \
+	libMean_la-zrowmeana.lo libMean_la-zcolumnmeana.lo
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libMean_la_CFLAGS) \
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+	$(top_builddir)/src/c/type/libFloatComplex.la \
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+	$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+	$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+	$(top_builddir)/src/c/operations/division/libDivision.la \
+	$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+	$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testDoubleMean_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
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+testFloatMean_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testFloatMean_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
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+	--mode=link $(CCLD) $(AM_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
+SOURCES = $(libMean_la_SOURCES) $(testDoubleMean_SOURCES) \
+	$(testFloatMean_SOURCES)
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+	$(testFloatMean_SOURCES)
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+top_srcdir = @top_srcdir@
+libMean_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libMean.la
+libMean_la_SOURCES = $(HEAD) $(SRC)
+SRC = smeana.c \
+		srowmeana.c \
+		scolumnmeana.c \
+		dmeana.c \
+		drowmeana.c \
+		dcolumnmeana.c \
+		cmeana.c \
+		crowmeana.c \
+		ccolumnmeana.c \
+		zmeana.c \
+		zrowmeana.c \
+		zcolumnmeana.c
+
+HEAD = ../includes/mean.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+
+#
+# -*- Mean Tests -*-
+#
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+testFloatMean_CFLAGS = $(check_INCLUDES)
+testFloatMean_LDADD = $(check_LDADD)
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+	$(am__cd) $(top_srcdir) && \
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+	list2=; for p in $$list; do \
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+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+	}
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+uninstall-pkglibLTLIBRARIES:
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+	for p in $$list; do \
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+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f '$(DESTDIR)$(pkglibdir)/$$f'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+	done
+
+clean-pkglibLTLIBRARIES:
+	-test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libMean.la: $(libMean_la_OBJECTS) $(libMean_la_DEPENDENCIES) 
+	$(libMean_la_LINK) -rpath $(pkglibdir) $(libMean_la_OBJECTS) $(libMean_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
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+	@rm -f testDoubleMean$(EXEEXT)
+	$(testDoubleMean_LINK) $(testDoubleMean_OBJECTS) $(testDoubleMean_LDADD) $(LIBS)
+testFloatMean$(EXEEXT): $(testFloatMean_OBJECTS) $(testFloatMean_DEPENDENCIES) 
+	@rm -f testFloatMean$(EXEEXT)
+	$(testFloatMean_LINK) $(testFloatMean_OBJECTS) $(testFloatMean_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
+
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+libMean_la-dmeana.lo: dmeana.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libMean_la_CFLAGS) $(CFLAGS) -MT libMean_la-dmeana.lo -MD -MP -MF $(DEPDIR)/libMean_la-dmeana.Tpo -c -o libMean_la-dmeana.lo `test -f 'dmeana.c' || echo '$(srcdir)/'`dmeana.c
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+	  test -z "$$dir" || $(MKDIR_P) "$$dir"; \
+	done
+install: install-am
+install-exec: install-exec-am
+install-data: install-data-am
+uninstall: uninstall-am
+
+install-am: all-am
+	@$(MAKE) $(AM_MAKEFLAGS) install-exec-am install-data-am
+
+installcheck: installcheck-am
+install-strip:
+	$(MAKE) $(AM_MAKEFLAGS) INSTALL_PROGRAM="$(INSTALL_STRIP_PROGRAM)" \
+	  install_sh_PROGRAM="$(INSTALL_STRIP_PROGRAM)" INSTALL_STRIP_FLAG=-s \
+	  `test -z '$(STRIP)' || \
+	    echo "INSTALL_PROGRAM_ENV=STRIPPROG='$(STRIP)'"` install
+mostlyclean-generic:
+
+clean-generic:
+
+distclean-generic:
+	-test -z "$(CONFIG_CLEAN_FILES)" || rm -f $(CONFIG_CLEAN_FILES)
+	-test . = "$(srcdir)" || test -z "$(CONFIG_CLEAN_VPATH_FILES)" || rm -f $(CONFIG_CLEAN_VPATH_FILES)
+
+maintainer-clean-generic:
+	@echo "This command is intended for maintainers to use"
+	@echo "it deletes files that may require special tools to rebuild."
+clean: clean-am
+
+clean-am: clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES mostlyclean-am
+
+distclean: distclean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+distclean-am: clean-am distclean-compile distclean-generic \
+	distclean-tags
+
+dvi: dvi-am
+
+dvi-am:
+
+html: html-am
+
+html-am:
+
+info: info-am
+
+info-am:
+
+install-data-am:
+
+install-dvi: install-dvi-am
+
+install-dvi-am:
+
+install-exec-am: install-pkglibLTLIBRARIES
+
+install-html: install-html-am
+
+install-html-am:
+
+install-info: install-info-am
+
+install-info-am:
+
+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am: uninstall-pkglibLTLIBRARIES
+
+.MAKE: check-am install-am install-strip
+
+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/mean/ccolumnmeana.c b/src/c/statisticsFunctions/mean/ccolumnmeana.c
new file mode 100644
index 0000000..c0254c4
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/ccolumnmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void ccolumnmeana(floatComplex *in, int lines, int columns, floatComplex *out) {
+  int i = 0;
+
+  ccolumnsuma(in, lines, columns, out);
+  for (i = 0; i < lines; ++i)
+    {
+      out[i] = crdivs(out[i] , FloatComplex((float) columns, 0.0f));
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/cmeana.c b/src/c/statisticsFunctions/mean/cmeana.c
new file mode 100644
index 0000000..ad2a66f
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/cmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+
+floatComplex cmeana(floatComplex *in, int size) {
+  floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = cadds(accumulate, in[i]);
+    }
+  return FloatComplex(creals(accumulate) / (float) size, cimags(accumulate) / (float) size);
+}
diff --git a/src/c/statisticsFunctions/mean/crowmeana.c b/src/c/statisticsFunctions/mean/crowmeana.c
new file mode 100644
index 0000000..0b073c4
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/crowmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void crowmeana(floatComplex *in, int lines, int columns, floatComplex *out) {
+  int i = 0;
+
+  crowsuma(in, lines, columns, out);
+  for (i = 0; i < columns; ++i)
+    {
+      out[i] = crdivs(out[i], FloatComplex((float)lines, 0.0f));
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/dcolumnmeana.c b/src/c/statisticsFunctions/mean/dcolumnmeana.c
new file mode 100644
index 0000000..90d7863
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/dcolumnmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void dcolumnmeana(double *in, int lines, int columns, double *out) {
+  int i = 0;
+
+  dcolumnsuma(in, lines, columns, out);
+  for (i = 0; i < lines; ++i)
+    {
+      out[i] /= (double) columns;
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/dmeana.c b/src/c/statisticsFunctions/mean/dmeana.c
new file mode 100644
index 0000000..db11766
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/dmeana.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+
+double dmeana(double *in, int size) {
+  double accumulate = 0.0;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += in[i];
+    }
+  return accumulate / (double) size;
+
+}
diff --git a/src/c/statisticsFunctions/mean/drowmeana.c b/src/c/statisticsFunctions/mean/drowmeana.c
new file mode 100644
index 0000000..aec1b31
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/drowmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void drowmeana(double *in, int lines, int columns, double *out) {
+  int i = 0;
+
+  drowsuma(in, lines, columns, out);
+  for (i = 0; i < columns; ++i)
+    {
+      out[i] /= (double) lines;
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/scolumnmeana.c b/src/c/statisticsFunctions/mean/scolumnmeana.c
new file mode 100644
index 0000000..59985d5
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/scolumnmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void scolumnmeana(float *in, int lines, int columns, float *out) {
+  int i = 0;
+
+  scolumnsuma(in, lines, columns, out);
+  for (i = 0; i < lines; ++i)
+    {
+      out[i] /= (float) columns;
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/smeana.c b/src/c/statisticsFunctions/mean/smeana.c
new file mode 100644
index 0000000..f4b1cd1
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/smeana.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+
+float smeana(float *in, int size) {
+  float accumulate = 0.0f;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += in[i];
+    }
+  return accumulate / (float) size;
+
+}
diff --git a/src/c/statisticsFunctions/mean/srowmeana.c b/src/c/statisticsFunctions/mean/srowmeana.c
new file mode 100644
index 0000000..3fb799f
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/srowmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void srowmeana(float *in, int lines, int columns, float *out) {
+  int i = 0;
+
+  srowsuma(in, lines, columns, out);
+  for (i = 0; i < columns; ++i)
+    {
+      out[i] /= (float) lines;
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/testDoubleMean.c b/src/c/statisticsFunctions/mean/testDoubleMean.c
new file mode 100644
index 0000000..b0eeffc
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/testDoubleMean.c
@@ -0,0 +1,498 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "mean.h"
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dmeansTest(void) {
+  double value1 = 3.0;
+  double value2 = 1.123456789;
+
+  printf("\n>>>> Mean Double Scalar Test\n");
+  assert( ( fabs(dmeans(value1) ) - (  3.0 ) ) / fabs ( dmeans(value1)  ) <  3e-16 );
+  assert( ( fabs(dmeans(value2) ) - (  1.123456789 ) ) / fabs ( dmeans(value2)  ) <  3e-16 );
+
+  return 0;
+}
+
+static int dmeanaTest(void) {
+  double table1[3] = {3.0, 3.0, 3.0};
+  double table2[5] = {9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563};
+
+  printf("\n>>>> Mean Double Array Test\n");
+  assert( ( fabs(dmeana(table1, 3) ) - (  9.0 / 3.0 ) ) / fabs ( dmeana(table1, 3)  ) <  3e-16 );
+  assert(( ( fabs(dmeana(table2, 5) ) - (  (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0) ) ) / fabs ( dmeana(table2, 5)  ) <  3e-16 );
+  return 0;
+}
+
+static int dcolumnmeanaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double columnMeanmedTable1_3_3[3] = {0};
+  double columnMeanmedTable1_1_9[1] = {0};
+  double columnMeanmedTable1_9_1[9] = {0};
+  double columnMeanmedTable2_2_5[2] = {0};
+  double columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Mean Double Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 6 15 24 ]
+    [ 7 8 9 ]
+  */
+  dcolumnmeana(table1, 3, 3,columnMeanmedTable1_3_3);
+  assert( ( fabs(columnMeanmedTable1_3_3[0] ) - (  6.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable1_3_3[1] ) - (  15.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[1]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable1_3_3[2] ) - (  24.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[2]  ) <  3e-16 );
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  dcolumnmeana(table1, 1, 9,columnMeanmedTable1_1_9);
+  assert( ( fabs(columnMeanmedTable1_1_9[0] ) - (  45.0 / 9.0 ) ) / fabs ( columnMeanmedTable1_1_9[0]  ) <  3e-16 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  dcolumnmeana(table1, 9, 1,columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 25 30 ]
+  */
+  dcolumnmeana(table2, 2, 5,columnMeanmedTable2_2_5);
+  assert( ( fabs(columnMeanmedTable2_2_5[0] ) - (  25.0 / 5.0 ) ) / fabs ( columnMeanmedTable2_2_5[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_2_5[1] ) - (  30.0 / 5.0 ) ) / fabs ( columnMeanmedTable2_2_5[1]  ) <  3e-16 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 7 9 11 13 15 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  dcolumnmeana(table2, 5, 2,columnMeanmedTable2_5_2);
+  assert( ( fabs(columnMeanmedTable2_5_2[0] ) - (  7.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[1] ) - (  9.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[1]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[2] ) - (  11.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[2]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[3] ) - (  13.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[3]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[4] ) - (  15.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[4]  ) <  3e-16 );
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int drowmeanaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double rowMeanmedTable1_3_3[3] = {0};
+  double rowMeanmedTable1_1_9[9] = {0};
+  double rowMeanmedTable1_9_1[1] = {0};
+  double rowMeanmedTable2_2_5[5] = {0};
+  double rowMeanmedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Mean Double Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 12 15 18 ]
+    [ 7 8 9 ]
+  */
+  drowmeana(table1, 3, 3,rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert( ( fabs(rowMeanmedTable1_3_3[0] ) - (  12.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[0]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable1_3_3[1] ) - (  15.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[1]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable1_3_3[2] ) - (  18.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[2]  ) <  3e-16 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  drowmeana(table1, 1, 9,rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  drowmeana(table1, 9, 1,rowMeanmedTable1_9_1);
+  assert( ( fabs(rowMeanmedTable1_9_1[0] ) - (  45.0 / 9.0 ) ) / fabs ( rowMeanmedTable1_9_1[0]  ) <  3e-16 );
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ]
+  */
+  drowmeana(table2, 2, 5,rowMeanmedTable2_2_5);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+  assert( ( fabs(rowMeanmedTable2_2_5[0] ) - (  3.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[0]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[1] ) - (  7.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[1]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[2] ) - (  11.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[2]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[3] ) - (  15.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[3]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[4] ) - (  19.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[4]  ) <  3e-16 );
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 15 40 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  drowmeana(table2, 5, 2,rowMeanmedTable2_5_2);
+  assert( ( fabs(rowMeanmedTable2_5_2[0] ) - (  15.0 / 5.0 ) ) / fabs ( rowMeanmedTable2_5_2[0]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_5_2[1] ) - (  40.0 / 5.0 ) ) / fabs ( rowMeanmedTable2_5_2[1]  ) <  3e-16 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowMeanmedTable2_5_2[%d] = %e\n", i, rowMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int zmeansTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789);
+
+  printf("\n>>>> Mean Double Complex Scalar Test\n");
+  assert( ( fabs(zreals(zmeans(value1)) ) - (  3.0 ) ) / fabs ( zreals(zmeans(value1))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeans(value1)) ) - (  3.0 ) ) / fabs ( zimags(zmeans(value1))  ) <  3e-16 );
+  assert( ( fabs(zreals(zmeans(value2)) ) - (  1.123456789 ) ) / fabs ( zreals(zmeans(value2))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeans(value2)) ) - (  1.123456789 ) ) / fabs ( zimags(zmeans(value2))  ) <  3e-16 );
+  return 0;
+}
+
+static int zmeanaTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex table1[3];
+  doubleComplex value2 = DoubleComplex(9.186784563,9.186784563);
+  doubleComplex table2[5];
+
+  printf("\n>>>> Mean Double Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");
+  printf("%e\n", zimags(zmeana(table1, 3)));
+  printf("%e\n", zreals(zmeana(table2, 5)));
+  printf("%e\n", zimags(zmeana(table2, 5)));
+  printf("%e\n", zreals(zmeana(table2, 5)));
+  printf("%e\n", zimags(zmeana(table2, 5)));
+  printf("--------\n");
+#endif
+  assert( ( fabs(zreals(zmeana(table1, 3)) ) - (  9.0 / 3.0 ) ) / fabs ( zreals(zmeana(table1, 3))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeana(table1, 3)) ) - (  9.0 / 3.0 ) ) / fabs ( zimags(zmeana(table1, 3))  ) <  3e-16 );
+  assert( ( fabs(zreals(zmeana(table2, 5)) ) - (  (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0 ) ) / fabs ( zreals(zmeana(table2, 5))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeana(table2, 5)) ) - (  (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0 ) ) / fabs ( zimags(zmeana(table2, 5))  ) <  3e-16 );
+
+  return 0;
+}
+
+static int zrowmeanaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex rowMeanmedIn_4_3[3];
+  doubleComplex rowMeanmedIn_3_4[4];
+  doubleComplex rowMeanmedIn_6_2[2];
+  doubleComplex rowMeanmedIn_2_6[6];
+  doubleComplex rowMeanmedIn_1_12[12];
+  doubleComplex rowMeanmedIn_12_1[1];
+
+  printf("\n>>>> Row Mean Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  zrowmeana(in, 4, 3, rowMeanmedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedIn_4_3[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_4_3[i]), zimags(rowMeanmedIn_4_3[i]));
+  }
+  assert(fabs(zreals(rowMeanmedIn_4_3[0]) - 0.6 / 4.0) < 1e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_4_3[0]) ) - (  3.8 / 4.0 ) ) / fabs ( zimags(rowMeanmedIn_4_3[0])  ) <  3e-16 );
+  assert( ( fabs(zreals(rowMeanmedIn_4_3[1]) ) - (  2.2 / 4.0 ) ) / fabs ( zreals(rowMeanmedIn_4_3[1])  ) <  3e-16 );
+  assert(fabs(zimags(rowMeanmedIn_4_3[1]) - 2.2 / 4.0) < 3e-16);
+  assert(fabs(zreals(rowMeanmedIn_4_3[2]) - 3.8 / 4.0) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_4_3[2]) ) - (  0.6 / 4.0 ) ) / fabs ( zimags(rowMeanmedIn_4_3[2])  ) <  3e-16 );
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  zrowmeana(in, 3, 4, rowMeanmedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowMeanmedIn_3_4[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_3_4[i]), zimags(rowMeanmedIn_3_4[i]));
+  }
+  assert(fabs(zreals(rowMeanmedIn_3_4[0]) - 0.3 / 3.0) < 1e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_3_4[0]) ) - (  3.0 / 3.0 ) ) / fabs ( zimags(rowMeanmedIn_3_4[0])  ) <  3e-16 );
+  assert(zreals(rowMeanmedIn_3_4[1]) == 1.2 / 3.0 && zimags(rowMeanmedIn_3_4[1]) == 2.1 / 3.0);
+  assert(fabs(zreals(rowMeanmedIn_3_4[2]) - 2.1 / 3.0) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_3_4[2]) ) - (  1.2 / 3.0 ) ) / fabs ( zimags(rowMeanmedIn_3_4[2])  ) <  3e-16 );
+  assert( ( fabs(zreals(rowMeanmedIn_3_4[3]) ) - (  3.0 / 3.0 ) ) / fabs ( zreals(rowMeanmedIn_3_4[3])  ) <  3e-16 );
+  assert(fabs(zimags(rowMeanmedIn_3_4[3]) - 0.3 / 3.0) < 1e-16);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  zrowmeana(in, 6, 2, rowMeanmedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowMeanmedIn_6_2[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_6_2[i]), zimags(rowMeanmedIn_6_2[i]));
+  }
+  assert(zreals(rowMeanmedIn_6_2[0]) == 1.5 / 6.0 && zimags(rowMeanmedIn_6_2[0]) == 5.1 / 6.0);
+  assert(zreals(rowMeanmedIn_6_2[1]) == 5.1 / 6.0 && zimags(rowMeanmedIn_6_2[1]) == 1.5 / 6.0);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ]
+  */
+  zrowmeana(in, 2, 6, rowMeanmedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowMeanmedIn_2_6[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_2_6[i]), zimags(rowMeanmedIn_2_6[i]));
+  }
+  assert(zreals(rowMeanmedIn_2_6[0]) == 0.1 / 2.0 && zimags(rowMeanmedIn_2_6[0]) == 2.1 / 2.0);
+  assert( ( fabs(zreals(rowMeanmedIn_2_6[1]) ) - ( 0.5 / 2.0 ) ) / fabs(zreals(rowMeanmedIn_2_6[1])) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_2_6[1]) ) - ( 1.7 / 2.0 ) ) / fabs(zimags(rowMeanmedIn_2_6[1])) < 3e-16);
+  assert( ( fabs(zreals(rowMeanmedIn_2_6[2]) ) - ( 0.9 / 2.0 ) ) / fabs(zreals(rowMeanmedIn_2_6[2])) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_2_6[2]) ) - ( 1.3 / 2.0 ) ) / fabs(zimags(rowMeanmedIn_2_6[2])) < 3e-16);
+  assert( ( fabs(zreals(rowMeanmedIn_2_6[3]) ) - ( 1.3 / 2.0 ) ) / fabs(zreals(rowMeanmedIn_2_6[3])) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_2_6[3]) ) - ( 0.9 / 2.0 ) ) / fabs(zimags(rowMeanmedIn_2_6[3])) < 3e-16);
+  assert( ( fabs(zreals(rowMeanmedIn_2_6[4]) ) - ( 1.7 / 2.0 ) ) / fabs(zreals(rowMeanmedIn_2_6[4])) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_2_6[4]) ) - ( 0.5 / 2.0 ) ) / fabs(zimags(rowMeanmedIn_2_6[4])) < 3e-16);
+  assert( ( fabs(zreals(rowMeanmedIn_2_6[5]) ) - ( 2.1 / 2.0 ) ) / fabs(zreals(rowMeanmedIn_2_6[5])) < 3e-16);
+  assert( ( fabs(zimags(rowMeanmedIn_2_6[5]) ) - ( 0.1 / 2.0 ) ) / fabs(zimags(rowMeanmedIn_2_6[5])) < 3e-16);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+  */
+  zrowmeana(in, 1, 12, rowMeanmedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowMeanmedIn_1_12[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_1_12[i]), zimags(rowMeanmedIn_1_12[i]));
+    assert(zreals(rowMeanmedIn_1_12[i]) == zreals(in[i]) && zimags(rowMeanmedIn_1_12[i]) == zimags(in[i]));
+  }
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] => [ 6.6+6.6i ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  zrowmeana(in, 12, 1, rowMeanmedIn_12_1);
+  printf("rowMeanmedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowMeanmedIn_12_1[0]), zimags(rowMeanmedIn_12_1[0]));
+  assert(zreals(rowMeanmedIn_12_1[0]) == 6.6 / 12.0 && zimags(rowMeanmedIn_12_1[0]) == 6.6 / 12.0);
+
+  return 0;
+}
+
+static int zcolumnmeanaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex columnMeanmedIn_4_3[4];
+  doubleComplex columnMeanmedIn_3_4[3];
+  doubleComplex columnMeanmedIn_6_2[6];
+  doubleComplex columnMeanmedIn_2_6[2];
+  doubleComplex columnMeanmedIn_1_12[1];
+  doubleComplex columnMeanmedIn_12_1[12];
+
+  printf("\n>>>> ColumnMean Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  zcolumnmeana(in, 4, 3, columnMeanmedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnMeanmedIn_4_3[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_4_3[i]), zimags(columnMeanmedIn_4_3[i]));
+  }
+  assert(fabs(zreals(columnMeanmedIn_4_3[0]) - 1.2 / 3.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_4_3[0]) - 2.1 / 3.0) < 3e-16);
+  assert(fabs(zreals(columnMeanmedIn_4_3[1]) - 1.5 / 3.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_4_3[1]) - 1.8 / 3.0) < 3e-16);
+  assert(fabs(zreals(columnMeanmedIn_4_3[2]) - 1.8 / 3.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_4_3[2]) - 1.5 / 3.0) < 3e-16);
+  assert(fabs(zreals(columnMeanmedIn_4_3[3]) - 2.1 / 3.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_4_3[3]) - 1.2 / 3.0) < 3e-16);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  zcolumnmeana(in, 3, 4, columnMeanmedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnMeanmedIn_3_4[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_3_4[i]), zimags(columnMeanmedIn_3_4[i]));
+  }
+  assert(fabs(zreals(columnMeanmedIn_3_4[0]) - 1.8 / 4.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_3_4[0]) - 2.6 / 4.0) < 3e-16);
+  assert(zreals(columnMeanmedIn_3_4[1]) == 2.2 / 4.0 && zimags(columnMeanmedIn_3_4[1]) == 2.2 / 4.0);
+  assert(zreals(columnMeanmedIn_3_4[2]) == 2.6 / 4.0 && zimags(columnMeanmedIn_3_4[2]) == 1.8 / 4.0);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  zcolumnmeana(in, 6, 2, columnMeanmedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnMeanmedIn_6_2[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_6_2[i]), zimags(columnMeanmedIn_6_2[i]));
+  }
+  assert(zreals(columnMeanmedIn_6_2[0]) == 0.6 / 2.0 && zimags(columnMeanmedIn_6_2[0]) == 1.6 / 2.0);
+  assert(fabs(zreals(columnMeanmedIn_6_2[1]) - 0.8 / 2.0) < 3e-16);
+  assert(zimags(columnMeanmedIn_6_2[1]) == 1.4 / 2.0);
+  assert(zreals(columnMeanmedIn_6_2[2]) == 1.0  / 2.0 && zimags(columnMeanmedIn_6_2[2]) == 1.2 / 2.0);
+  assert(zreals(columnMeanmedIn_6_2[3]) == 1.2  / 2.0 && zimags(columnMeanmedIn_6_2[3]) == 1.0 / 2.0);
+  assert(zreals(columnMeanmedIn_6_2[4]) == 1.4 / 2.0);
+  assert(fabs(zimags(columnMeanmedIn_6_2[4]) - 0.8 / 2.0) < 3e-16);
+  assert(zreals(columnMeanmedIn_6_2[5]) == 1.6 / 2.0 && zimags(columnMeanmedIn_6_2[5]) == 0.6 / 2.0);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 3+3.6i 3.6+3i ]
+  */
+  zcolumnmeana(in, 2, 6, columnMeanmedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedIn_2_6[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_2_6[i]), zimags(columnMeanmedIn_2_6[i]));
+  }
+  assert(fabs(zreals(columnMeanmedIn_2_6[0]) - 3.0 / 6.0) < 3e-16);
+  assert(fabs(zimags(columnMeanmedIn_2_6[0]) - 3.6 / 6.0) < 3e-16);
+  assert(fabs(zreals(columnMeanmedIn_2_6[1]) - 3.6 / 6.0) < 3e-16); 
+  assert(fabs(zimags(columnMeanmedIn_2_6[1]) - 3.0 / 6.0) < 3e-16);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 6.6+6.6i ]
+  */
+  zcolumnmeana(in, 1, 12, columnMeanmedIn_1_12);
+  printf("columnMeanmedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnMeanmedIn_1_12[0]), zimags(columnMeanmedIn_1_12[0]));
+  assert(zreals(columnMeanmedIn_1_12[0]) == 6.6 / 12.0 && zimags(columnMeanmedIn_1_12[0]) == 6.6 / 12.0);
+
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  zcolumnmeana(in, 12, 1, columnMeanmedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnMeanmedIn_12_1[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_12_1[i]), zimags(columnMeanmedIn_12_1[i]));
+   assert(zreals(columnMeanmedIn_12_1[i]) == zreals(in[i]) && zimags(columnMeanmedIn_12_1[i]) == zimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testMean(void) {
+
+  dmeansTest();
+  dmeanaTest();
+  drowmeanaTest();
+  dcolumnmeanaTest();
+  zmeansTest();
+  zmeanaTest();
+  zrowmeanaTest();
+  zcolumnmeanaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testMean() == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/mean/testFloatMean.c b/src/c/statisticsFunctions/mean/testFloatMean.c
new file mode 100644
index 0000000..e5c6d9d
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/testFloatMean.c
@@ -0,0 +1,481 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "mean.h"
+
+/* #define LOCAL_DEBUG */
+
+static int smeansTest(void) {
+  float value1 = 3.0f;
+  float value2 = 1.123456789f;
+
+  printf("\n>>>> Mean Float Scalar Test\n");
+  assert(smeans(value1) == 3.0f);
+  assert(smeans(value2) == 1.123456789f);
+
+  return 0;
+}
+
+static int smeanaTest(void) {
+  float table1[3] = {3.0f, 3.0f, 3.0f};
+  float table2[5] = {9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f};
+
+  printf("\n>>>> Mean Float Array Test\n");
+  assert(smeana(table1, 3) == 9.0f / 3.0f);
+  assert((smeana(table2, 5) - (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f) / smeana(table2, 5) < 1e-6);
+  return 0;
+}
+
+static int scolumnmeanaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float columnMeanmedTable1_3_3[3] = {0};
+  float columnMeanmedTable1_1_9[1] = {0};
+  float columnMeanmedTable1_9_1[9] = {0};
+  float columnMeanmedTable2_2_5[2] = {0};
+  float columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Mean Float Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 6 15 24 ]
+    [ 7 8 9 ]
+  */
+  scolumnmeana(table1, 3, 3,columnMeanmedTable1_3_3);
+  assert(columnMeanmedTable1_3_3[0] == 6.0f / 3.0f);
+  assert(columnMeanmedTable1_3_3[1] == 15.0f / 3.0f);
+  assert(columnMeanmedTable1_3_3[2] == 24.0f / 3.0f);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  scolumnmeana(table1, 1, 9,columnMeanmedTable1_1_9);
+  assert(columnMeanmedTable1_1_9[0] == 45.0f / 9.0f);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  scolumnmeana(table1, 9, 1,columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 25 30 ]
+  */
+  scolumnmeana(table2, 2, 5,columnMeanmedTable2_2_5);
+  assert(columnMeanmedTable2_2_5[0] == 25.0f / 5.0f);
+  assert(columnMeanmedTable2_2_5[1] == 30.0f / 5.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 7 9 11 13 15 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  scolumnmeana(table2, 5, 2,columnMeanmedTable2_5_2);
+  assert(columnMeanmedTable2_5_2[0] == 7.0f / 2.0f);
+  assert(columnMeanmedTable2_5_2[1] == 9.0f / 2.0f);
+  assert(columnMeanmedTable2_5_2[2] == 11.0f / 2.0f);
+  assert(columnMeanmedTable2_5_2[3] == 13.0f / 2.0f);
+  assert(columnMeanmedTable2_5_2[4] == 15.0f / 2.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int srowmeanaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float rowMeanmedTable1_3_3[3] = {0};
+  float rowMeanmedTable1_1_9[9] = {0};
+  float rowMeanmedTable1_9_1[1] = {0};
+  float rowMeanmedTable2_2_5[5] = {0};
+  float rowMeanmedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Mean Float Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 12 15 18 ]
+    [ 7 8 9 ]
+  */
+  srowmeana(table1, 3, 3,rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert(rowMeanmedTable1_3_3[0] == 12.0f / 3.0f);
+  assert(rowMeanmedTable1_3_3[1] == 15.0f / 3.0f);
+  assert(rowMeanmedTable1_3_3[2] == 18.0f / 3.0f);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  srowmeana(table1, 1, 9,rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  srowmeana(table1, 9, 1,rowMeanmedTable1_9_1);
+  assert(rowMeanmedTable1_9_1[0] == 45.0f / 9.0f);
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ]
+  */
+  srowmeana(table2, 2, 5,rowMeanmedTable2_2_5);
+  assert(rowMeanmedTable2_2_5[0] == 3.0f / 2.0f);
+  assert(rowMeanmedTable2_2_5[1] == 7.0f / 2.0f);
+  assert(rowMeanmedTable2_2_5[2] == 11.0f / 2.0f);
+  assert(rowMeanmedTable2_2_5[3] == 15.0f / 2.0f);
+  assert(rowMeanmedTable2_2_5[4] == 19.0f / 2.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 15 40 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  srowmeana(table2, 5, 2,rowMeanmedTable2_5_2);
+  assert(rowMeanmedTable2_5_2[0] == 15.0f / 5.0f);
+  assert(rowMeanmedTable2_5_2[1] == 40.0f / 5.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowMeanmedTable2_5_2[%d] = %e\n", i, rowMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int cmeansTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f);
+
+  printf("\n>>>> Mean Float Complex Scalar Test\n");
+  assert(creals(cmeans(value1)) == 3.0f);
+  assert(cimags(cmeans(value1)) == 3.0f);
+  assert(creals(cmeans(value2)) == 1.123456789f);
+  assert(cimags(cmeans(value2)) == 1.123456789f);
+  return 0;
+}
+
+static int cmeanaTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex table1[3];
+  floatComplex value2 = FloatComplex(9.186784563f,9.186784563f);
+  floatComplex table2[5];
+
+  printf("\n>>>> Mean Float Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");
+  printf("%e\n", cimags(cmeana(table1, 3)));
+  printf("%e\n", creals(cmeana(table2, 5)));
+  printf("%e\n", cimags(cmeana(table2, 5)));
+  printf("%e\n", creals(cmeana(table2, 5)));
+  printf("%e\n", cimags(cmeana(table2, 5)));
+  printf("--------\n");
+#endif
+  assert(creals(cmeana(table1, 3)) == 9.0f / 3.0f);
+  assert(cimags(cmeana(table1, 3)) == 9.0f / 3.0f);
+  assert(creals(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f);
+  assert(cimags(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f);
+
+  return 0;
+}
+
+static int crowmeanaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex rowMeanmedIn_4_3[3];
+  floatComplex rowMeanmedIn_3_4[4];
+  floatComplex rowMeanmedIn_6_2[2];
+  floatComplex rowMeanmedIn_2_6[6];
+  floatComplex rowMeanmedIn_1_12[12];
+  floatComplex rowMeanmedIn_12_1[1];
+
+  printf("\n>>>> Row Mean Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  crowmeana(in, 4, 3, rowMeanmedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(rowMeanmedIn_4_3[i]), cimags(rowMeanmedIn_4_3[i]));
+  }
+  assert(creals(rowMeanmedIn_4_3[0]) == 0.6f / 4.0f && cimags(rowMeanmedIn_4_3[0]) == 3.8f / 4.0f);
+  assert(creals(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f && cimags(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f);
+  assert(fabs(creals(rowMeanmedIn_4_3[2]) - 3.8f / 4.0f) < 1e-06);
+  assert(cimags(rowMeanmedIn_4_3[2]) == 0.6f / 4.0f);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  crowmeana(in, 3, 4, rowMeanmedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(rowMeanmedIn_3_4[i]), cimags(rowMeanmedIn_3_4[i]));
+  }
+  assert(creals(rowMeanmedIn_3_4[0]) == 0.3f / 3.0f && cimags(rowMeanmedIn_3_4[0]) == 3.0f / 3.0f);
+  assert(creals(rowMeanmedIn_3_4[1]) == 1.2f / 3.0f && cimags(rowMeanmedIn_3_4[1]) == 2.1f / 3.0f);
+  assert(creals(rowMeanmedIn_3_4[2]) == 2.1f / 3.0f && cimags(rowMeanmedIn_3_4[2]) == 1.2f / 3.0f);
+  assert(creals(rowMeanmedIn_3_4[3]) == 3.0f / 3.0f && cimags(rowMeanmedIn_3_4[3]) == 0.3f / 3.0f);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  crowmeana(in, 6, 2, rowMeanmedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(rowMeanmedIn_6_2[i]), cimags(rowMeanmedIn_6_2[i]));
+  }
+  assert(creals(rowMeanmedIn_6_2[0]) == 1.5f / 6.0f && cimags(rowMeanmedIn_6_2[0]) == 5.1f / 6.0f);
+  assert(creals(rowMeanmedIn_6_2[1]) == 5.1f / 6.0f);
+  assert(fabs(cimags(rowMeanmedIn_6_2[1]) - 1.5f / 6.0f) < 1e-06);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ]
+  */
+  crowmeana(in, 2, 6, rowMeanmedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(rowMeanmedIn_2_6[i]), cimags(rowMeanmedIn_2_6[i]));
+  }
+  assert(creals(rowMeanmedIn_2_6[0]) == 0.1f / 2.0f && cimags(rowMeanmedIn_2_6[0]) == 2.1f / 2.0f);
+  assert(creals(rowMeanmedIn_2_6[1]) == 0.5f / 2.0f && cimags(rowMeanmedIn_2_6[1]) == 1.7f / 2.0f);
+  assert(creals(rowMeanmedIn_2_6[2]) == 0.9f / 2.0f && cimags(rowMeanmedIn_2_6[2]) == 1.3f / 2.0f);
+  assert(creals(rowMeanmedIn_2_6[3]) == 1.3f / 2.0f && cimags(rowMeanmedIn_2_6[3]) == 0.9f / 2.0f);
+  assert(creals(rowMeanmedIn_2_6[4]) == 1.7f / 2.0f && cimags(rowMeanmedIn_2_6[4]) == 0.5f / 2.0f);
+  assert(creals(rowMeanmedIn_2_6[5]) == 2.1f / 2.0f && cimags(rowMeanmedIn_2_6[5]) == 0.1f / 2.0f);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+  */
+  crowmeana(in, 1, 12, rowMeanmedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowMeanmedIn_1_12[%d] = %e + %ei\n", i, creals(rowMeanmedIn_1_12[i]), cimags(rowMeanmedIn_1_12[i]));
+    assert(creals(rowMeanmedIn_1_12[i]) == creals(in[i]) && cimags(rowMeanmedIn_1_12[i]) == cimags(in[i]));
+  }
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] => [ 6.6+6.6i ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  crowmeana(in, 12, 1, rowMeanmedIn_12_1);
+  printf("rowMeanmedIn_12_1[%d] = %e + %ei\n", 0, creals(rowMeanmedIn_12_1[0]), cimags(rowMeanmedIn_12_1[0]));
+  assert(creals(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f && cimags(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f);
+
+  return 0;
+}
+
+static int ccolumnmeanaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex columnMeanmedIn_4_3[4];
+  floatComplex columnMeanmedIn_3_4[3];
+  floatComplex columnMeanmedIn_6_2[6];
+  floatComplex columnMeanmedIn_2_6[2];
+  floatComplex columnMeanmedIn_1_12[1];
+  floatComplex columnMeanmedIn_12_1[12];
+
+  printf("\n>>>> ColumnMean Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  ccolumnmeana(in, 4, 3, columnMeanmedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(columnMeanmedIn_4_3[i]), cimags(columnMeanmedIn_4_3[i]));
+  }
+  assert(creals(columnMeanmedIn_4_3[0]) == 1.2f / 3.0f && cimags(columnMeanmedIn_4_3[0]) == 2.1f / 3.0f);
+  assert(creals(columnMeanmedIn_4_3[1]) == 1.5f / 3.0f);
+  assert(fabs(cimags(columnMeanmedIn_4_3[1]) - 1.8f / 3.0f) < 1e-06);
+  assert(creals(columnMeanmedIn_4_3[2]) == 1.8f / 3.0f && cimags(columnMeanmedIn_4_3[2]) == 1.5f / 3.0f);
+  assert(creals(columnMeanmedIn_4_3[3]) == 2.1f / 3.0f && cimags(columnMeanmedIn_4_3[3]) == 1.2f / 3.0f);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  ccolumnmeana(in, 3, 4, columnMeanmedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(columnMeanmedIn_3_4[i]), cimags(columnMeanmedIn_3_4[i]));
+  }
+  assert(creals(columnMeanmedIn_3_4[0]) == 1.8f / 4.0f);
+  assert(fabs(cimags(columnMeanmedIn_3_4[0]) - 2.6f / 4.0f) < 1e-06);
+  assert(creals(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f && cimags(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f);
+  assert(creals(columnMeanmedIn_3_4[2]) == 2.6f / 4.0f && cimags(columnMeanmedIn_3_4[2]) == 1.8f / 4.0f);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  ccolumnmeana(in, 6, 2, columnMeanmedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(columnMeanmedIn_6_2[i]), cimags(columnMeanmedIn_6_2[i]));
+  }
+  assert(creals(columnMeanmedIn_6_2[0]) == 0.6f / 2.0f && cimags(columnMeanmedIn_6_2[0]) == 1.6f / 2.0f);
+  assert(creals(columnMeanmedIn_6_2[1]) == 0.8f / 2.0f && cimags(columnMeanmedIn_6_2[1]) == 1.4f / 2.0f);
+  assert(creals(columnMeanmedIn_6_2[2]) == 1.0f / 2.0f && cimags(columnMeanmedIn_6_2[2]) == 1.2f / 2.0f);
+  assert(creals(columnMeanmedIn_6_2[3]) == 1.2f / 2.0f && cimags(columnMeanmedIn_6_2[3]) == 1.0f / 2.0f);
+  assert(creals(columnMeanmedIn_6_2[4]) == 1.4f / 2.0f && cimags(columnMeanmedIn_6_2[4]) == 0.8f / 2.0f);
+  assert(creals(columnMeanmedIn_6_2[5]) == 1.6f / 2.0f && cimags(columnMeanmedIn_6_2[5]) == 0.6f / 2.0f);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 3+3.6i 3.6+3i ]
+  */
+  ccolumnmeana(in, 2, 6, columnMeanmedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(columnMeanmedIn_2_6[i]), cimags(columnMeanmedIn_2_6[i]));
+  }
+  assert(creals(columnMeanmedIn_2_6[0]) == 3.0f / 6.0f && cimags(columnMeanmedIn_2_6[0]) == 3.6f / 6.0f);
+  assert(creals(columnMeanmedIn_2_6[1]) == 3.6f / 6.0f);
+  assert(fabs(cimags(columnMeanmedIn_2_6[1]) -3.0f / 6.0f) < 1e-06);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 6.6+6.6i ]
+  */
+  ccolumnmeana(in, 1, 12, columnMeanmedIn_1_12);
+  printf("columnMeanmedIn_1_12[%d] = %e + %ei\n", 0, creals(columnMeanmedIn_1_12[0]), cimags(columnMeanmedIn_1_12[0]));
+  assert(creals(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f && cimags(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f);
+
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  ccolumnmeana(in, 12, 1, columnMeanmedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnMeanmedIn_12_1[%d] = %e + %ei\n", i, creals(columnMeanmedIn_12_1[i]), cimags(columnMeanmedIn_12_1[i]));
+   assert(creals(columnMeanmedIn_12_1[i]) == creals(in[i]) && cimags(columnMeanmedIn_12_1[i]) == cimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testMean(void) {
+
+  smeansTest();
+  smeanaTest();
+  srowmeanaTest();
+  scolumnmeanaTest();
+  cmeansTest();
+  cmeanaTest();
+  crowmeanaTest();
+  ccolumnmeanaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testMean() == 0);
+  return 0;
+}
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diff --git a/src/c/statisticsFunctions/mean/test_FloatMean/testFloatMean.vcxproj.filters b/src/c/statisticsFunctions/mean/test_FloatMean/testFloatMean.vcxproj.filters
new file mode 100644
index 0000000..91061ad
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/test_FloatMean/testFloatMean.vcxproj.filters
@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>

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+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>

+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>

+    </Filter>

+    <Filter Include="Header Files">

+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>

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diff --git a/src/c/statisticsFunctions/mean/zcolumnmeana.c b/src/c/statisticsFunctions/mean/zcolumnmeana.c
new file mode 100644
index 0000000..8cc38fc
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/zcolumnmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void zcolumnmeana(doubleComplex *in, int lines, int columns, doubleComplex *out) {
+  int i = 0;
+
+  zcolumnsuma(in, lines, columns, out);
+  for (i = 0; i < lines; ++i)
+    {
+      out[i] = zrdivs(out[i] , DoubleComplex((double) columns, 0.0f));
+    }
+}
diff --git a/src/c/statisticsFunctions/mean/zmeana.c b/src/c/statisticsFunctions/mean/zmeana.c
new file mode 100644
index 0000000..aae80ff
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/zmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+
+doubleComplex zmeana(doubleComplex *in, int size) {
+  doubleComplex accumulate = DoubleComplex(0.0f, 0.0f);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = zadds(accumulate, in[i]);
+    }
+  return DoubleComplex(zreals(accumulate) / (double) size, zimags(accumulate) / (double) size);
+}
diff --git a/src/c/statisticsFunctions/mean/zrowmeana.c b/src/c/statisticsFunctions/mean/zrowmeana.c
new file mode 100644
index 0000000..8e19bf9
--- /dev/null
+++ b/src/c/statisticsFunctions/mean/zrowmeana.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "mean.h"
+#include "sum.h"
+
+void zrowmeana(doubleComplex *in, int lines, int columns, doubleComplex *out) {
+  int i = 0;
+
+  zrowsuma(in, lines, columns, out);
+  for (i = 0; i < columns; ++i)
+    {
+      out[i] = zrdivs(out[i], DoubleComplex((double)lines, 0.0f));
+    }
+}
diff --git a/src/c/statisticsFunctions/meanf/Makefile.am b/src/c/statisticsFunctions/meanf/Makefile.am
new file mode 100644
index 0000000..789caac
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/Makefile.am
@@ -0,0 +1,74 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libMeanf_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libMeanf.la
+
+libMeanf_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	smeanfa.c \
+		srowmeanfa.c \
+		scolumnmeanfa.c \
+		dmeanfa.c \
+		drowmeanfa.c \
+		dcolumnmeanfa.c \
+		cmeanfa.c \
+		crowmeanfa.c \
+		ccolumnmeanfa.c \
+		zmeanfa.c \
+		zrowmeanfa.c \
+		zcolumnmeanfa.c \
+		cmeanfcs.c \
+		cmeanfsc.c \
+		zmeanfdz.c \
+		zmeanfzd.c
+
+HEAD	=	../includes/meanf.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatMeanf testDoubleMeanf
+
+TESTS		=	testFloatMeanf testDoubleMeanf
+
+#
+# -*- Meanf Tests -*-
+#
+testFloatMeanf_SOURCES = testFloatMeanf.c
+testFloatMeanf_CFLAGS =	$(check_INCLUDES)
+testFloatMeanf_LDADD =	$(check_LDADD)
+
+testDoubleMeanf_SOURCES =testDoubleMeanf.c
+testDoubleMeanf_CFLAGS =	$(check_INCLUDES)
+testDoubleMeanf_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/meanf/Makefile.in b/src/c/statisticsFunctions/meanf/Makefile.in
new file mode 100644
index 0000000..97e65ef
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/Makefile.in
@@ -0,0 +1,879 @@
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+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
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+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatMeanf$(EXEEXT) testDoubleMeanf$(EXEEXT)
+TESTS = testFloatMeanf$(EXEEXT) testDoubleMeanf$(EXEEXT)
+subdir = src/c/statisticsFunctions/meanf
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
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+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
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+	$(ACLOCAL_M4)
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+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
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+am__nobase_list = $(am__nobase_strip_setup); \
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+  $(AWK) 'BEGIN { files["."] = "" } { files[$$2] = files[$$2] " " $$1; \
+    if (++n[$$2] == $(am__install_max)) \
+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
+    END { for (dir in files) print dir, files[dir] }'
+am__base_list = \
+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
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+am__objects_2 = libMeanf_la-smeanfa.lo libMeanf_la-srowmeanfa.lo \
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+	libMeanf_la-drowmeanfa.lo libMeanf_la-dcolumnmeanfa.lo \
+	libMeanf_la-cmeanfa.lo libMeanf_la-crowmeanfa.lo \
+	libMeanf_la-ccolumnmeanfa.lo libMeanf_la-zmeanfa.lo \
+	libMeanf_la-zrowmeanfa.lo libMeanf_la-zcolumnmeanfa.lo \
+	libMeanf_la-cmeanfcs.lo libMeanf_la-cmeanfsc.lo \
+	libMeanf_la-zmeanfdz.lo libMeanf_la-zmeanfzd.lo
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libMeanf_la_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
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+	$(top_builddir)/src/c/operations/addition/libAddition.la \
+	$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+	$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+	$(top_builddir)/src/c/operations/division/libDivision.la \
+	$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+	$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la
+testDoubleMeanf_DEPENDENCIES = $(am__DEPENDENCIES_1)
+testDoubleMeanf_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testDoubleMeanf_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
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+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libMeanf_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libMeanf.la
+libMeanf_la_SOURCES = $(HEAD) $(SRC)
+SRC = smeanfa.c \
+		srowmeanfa.c \
+		scolumnmeanfa.c \
+		dmeanfa.c \
+		drowmeanfa.c \
+		dcolumnmeanfa.c \
+		cmeanfa.c \
+		crowmeanfa.c \
+		ccolumnmeanfa.c \
+		zmeanfa.c \
+		zrowmeanfa.c \
+		zcolumnmeanfa.c \
+		cmeanfcs.c \
+		cmeanfsc.c \
+		zmeanfdz.c \
+		zmeanfzd.c
+
+HEAD = ../includes/meanf.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+
+#
+# -*- Meanf Tests -*-
+#
+testFloatMeanf_SOURCES = testFloatMeanf.c
+testFloatMeanf_CFLAGS = $(check_INCLUDES)
+testFloatMeanf_LDADD = $(check_LDADD)
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+testDoubleMeanf_CFLAGS = $(check_INCLUDES)
+testDoubleMeanf_LDADD = $(check_LDADD)
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+
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+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
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+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
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+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/meanf/ccolumnmeanfa.c b/src/c/statisticsFunctions/meanf/ccolumnmeanfa.c
new file mode 100644
index 0000000..90dbb8b
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/ccolumnmeanfa.c
@@ -0,0 +1,39 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+#include "multiplication.h"
+
+void ccolumnmeanfa(floatComplex *in1, int lines, int columns,floatComplex *in2, floatComplex *out) {
+  int i = 0;
+  int j = 0;
+  floatComplex tempCoefSum = FloatComplex(0.0f,0.0f);
+  floatComplex tempMul = FloatComplex(0.0f,0.0f);
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines ; ++j)
+  {
+    tempCoefSum = FloatComplex(0.0f,0.0f);
+    out[j]=  FloatComplex(0.0f,0.0f);
+    for ( i = 0 ; i < columns; ++i )
+      {
+
+        tempMul = cmuls ( in1[lines*i + j] , in2[lines*i + j]); /* we times by the coefficient*/
+        tempCoefSum = cadds ( in2[lines*i + j] ,tempCoefSum ) ;
+        out[j] = cadds (tempMul, out[j]) ;
+      } 
+
+    out[j] = crdivs(out[j] ,tempCoefSum);
+  }
+}
+
+
diff --git a/src/c/statisticsFunctions/meanf/cmeanfa.c b/src/c/statisticsFunctions/meanf/cmeanfa.c
new file mode 100644
index 0000000..1aeef53
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/cmeanfa.c
@@ -0,0 +1,30 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "multiplication.h"
+#include "division.h"
+
+floatComplex cmeanfa(floatComplex *in1, int size, floatComplex *in2 ) {
+  floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  floatComplex freAccumulate =  FloatComplex(0.0f, 0.0f);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = cadds(accumulate, cmuls (in1[i] , in2[i]));
+      freAccumulate =  cadds(in2[i],freAccumulate);
+    }
+  return crdivs(accumulate ,freAccumulate) ;
+}
+
+
diff --git a/src/c/statisticsFunctions/meanf/cmeanfcs.c b/src/c/statisticsFunctions/meanf/cmeanfcs.c
new file mode 100644
index 0000000..e0c769a
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/cmeanfcs.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "meanf.h"
+#include "zeros.h"
+
+floatComplex cmeanfcs (floatComplex* in1 ,int lines , int columns , float* in2)
+  {
+    float* ZEROS = (float *) malloc((unsigned int)(lines*columns*sizeof(float)));
+    szerosa(ZEROS,lines,columns);
+    
+    return cmeanfa(in1, lines*columns , FloatComplexMatrix(in2,ZEROS,lines*columns));
+  }
diff --git a/src/c/statisticsFunctions/meanf/cmeanfsc.c b/src/c/statisticsFunctions/meanf/cmeanfsc.c
new file mode 100644
index 0000000..03c7d42
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/cmeanfsc.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "meanf.h"
+#include "zeros.h"
+
+floatComplex cmeanfsc (float* in1 ,int lines , int columns , floatComplex* in2)
+  {
+    float* ZEROS = (float*) malloc((unsigned int)(lines*columns*sizeof(float)));
+    szerosa(ZEROS,lines,columns);
+    
+    return cmeanfa(FloatComplexMatrix(in1,ZEROS,lines*columns), lines*columns , in2);
+  }
diff --git a/src/c/statisticsFunctions/meanf/crowmeanfa.c b/src/c/statisticsFunctions/meanf/crowmeanfa.c
new file mode 100644
index 0000000..14dc327
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/crowmeanfa.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+#include "multiplication.h"
+void crowmeanfa(floatComplex *in1, int lines, int columns, floatComplex *in2, floatComplex *out) {
+  int i = 0;
+  int j = 0;
+  floatComplex tempCoefSum = FloatComplex(0.0f,0.0f);
+  floatComplex tempMul = FloatComplex(0.0f,0.0f);
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+  {
+    tempCoefSum =  FloatComplex(0.0f,0.0f);
+    out[j]=  FloatComplex(0.0f,0.0f);
+    for ( i = 0 ; i < lines; ++i )
+      {
+
+        tempMul = cmuls ( in1[lines*j + i] , in2[lines*j + i]); /* we times by the coefficient*/
+        tempCoefSum = cadds ( in2[lines*j + i] ,tempCoefSum ) ;
+        out[j] = cadds (tempMul, out[j]) ;
+      } 
+
+    out[j] = crdivs(out[j] ,tempCoefSum);
+  }
+}
diff --git a/src/c/statisticsFunctions/meanf/dcolumnmeanfa.c b/src/c/statisticsFunctions/meanf/dcolumnmeanfa.c
new file mode 100644
index 0000000..e8d25a3
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/dcolumnmeanfa.c
@@ -0,0 +1,40 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+
+void dcolumnmeanfa(double *in1, int lines , int columns, double *in2, double *out) {
+  int i = 0;
+  int j = 0;
+  double tempCoefSum = 0.0;
+  double tempMul = 0.0 ;
+
+
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+for (j = 0; j < lines; ++j)
+  {
+    tempCoefSum = 0.0;
+    out[j]= 0.0;
+    for ( i = 0 ; i < columns; ++i )
+      {
+
+        tempMul = in1[lines*i + j] * in2[lines*i + j]; /* we times by the coefficient*/
+        tempCoefSum +=in2[lines*i + j];
+        out[j] +=tempMul ;
+      } 
+
+    out[j] /= tempCoefSum ;
+  }
+  
+}
+
diff --git a/src/c/statisticsFunctions/meanf/dmeanfa.c b/src/c/statisticsFunctions/meanf/dmeanfa.c
new file mode 100644
index 0000000..be3bb37
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/dmeanfa.c
@@ -0,0 +1,28 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+
+double dmeanfa(double *in1, int size, double *in2) {
+  double accumulate = 0.0;
+  double freAccumulate = 0.0;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += (in1[i] * in2[i]) ;
+      freAccumulate += in2[i] ;
+    }
+  return accumulate / freAccumulate;
+
+}
+
diff --git a/src/c/statisticsFunctions/meanf/drowmeanfa.c b/src/c/statisticsFunctions/meanf/drowmeanfa.c
new file mode 100644
index 0000000..ce3523c
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/drowmeanfa.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+
+void drowmeanfa(double *in1, int lines, int columns, double *in2, double *out) {
+  int i = 0;
+  int j = 0;
+  double tempCoefSum = 0.0;
+  double tempMul = 0.0;
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+  {
+    tempCoefSum = 0.0;
+    out[j]= 0.0;
+    for ( i = 0 ; i < lines; ++i )
+      {
+
+        tempMul = in1[lines*j + i] * in2[lines*j + i]; /* we times by the coefficient*/
+        tempCoefSum +=in2[lines*j + i];
+        out[j] +=tempMul ;
+      } 
+
+    out[j] /= tempCoefSum ;
+  }
+}
diff --git a/src/c/statisticsFunctions/meanf/scolumnmeanfa.c b/src/c/statisticsFunctions/meanf/scolumnmeanfa.c
new file mode 100644
index 0000000..bb3ffca
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/scolumnmeanfa.c
@@ -0,0 +1,40 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+
+void scolumnmeanfa(float *in1, int lines, int columns, float *in2, float *out) {
+  int i = 0;
+  int j = 0;
+  float tempCoefSum = 0.0f;
+  float tempMul = 0.0f ;
+
+
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+for (j = 0; j < lines; ++j)
+  {
+    tempCoefSum = 0.0f;
+    out[j]= 0.0f;
+    for ( i = 0 ; i < columns; ++i )
+      {
+
+        tempMul = in1[lines*i + j] * in2[lines*i + j]; /* we times by the coefficient*/
+        tempCoefSum +=in2[lines*i + j];
+        out[j] +=tempMul ;
+      } 
+
+    out[j] /= tempCoefSum ;
+  }
+  
+}
+
diff --git a/src/c/statisticsFunctions/meanf/smeanfa.c b/src/c/statisticsFunctions/meanf/smeanfa.c
new file mode 100644
index 0000000..64985e7
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/smeanfa.c
@@ -0,0 +1,27 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+
+float smeanfa(float *in1, int size, float *in2) {
+  float accumulate = 0.0f;
+  float freAccumulate = 0.0f;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += (in1[i] * in2[i]) ;
+      freAccumulate += in2[i] ;
+    }
+  return accumulate / freAccumulate;
+
+}
diff --git a/src/c/statisticsFunctions/meanf/srowmeanfa.c b/src/c/statisticsFunctions/meanf/srowmeanfa.c
new file mode 100644
index 0000000..3cdacb8
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/srowmeanfa.c
@@ -0,0 +1,37 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+
+
+void srowmeanfa(float *in1, int lines, int columns, float *in2, float *out) {
+  int i = 0;
+  int j = 0;
+  float tempCoefSum = 0.0f;
+  float tempMul = 0.0f;
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+  {
+    tempCoefSum = 0.0f;
+    out[j]= 0.0f;
+    for ( i = 0 ; i < lines; ++i )
+      {
+
+        tempMul = in1[lines*j + i] * in2[lines*j + i]; /* we times by the coefficient*/
+        tempCoefSum +=in2[lines*j + i];
+        out[j] +=tempMul ;
+      } 
+
+    out[j] /= tempCoefSum ;
+  }
+}
diff --git a/src/c/statisticsFunctions/meanf/testDoubleMeanf.c b/src/c/statisticsFunctions/meanf/testDoubleMeanf.c
new file mode 100644
index 0000000..f528f1d
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/testDoubleMeanf.c
@@ -0,0 +1,409 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "meanf.h"
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dmeanfsTest(void) {
+  double value1 = 3.0;
+  double value2 = 1.123456789;
+  double coef1  = 56 ;
+  double coef2  = 2 ;
+
+  coef1  = 56 ;
+  coef2  = 2 ;
+
+  printf("\n>>>> Meanf Double Scalar Test\n");
+  assert( ( fabs(dmeanfs(value1,coef1) ) - (  3.0 ) ) / fabs ( dmeanfs(value1,coef1)  ) <  3e-16 );
+  assert( ( fabs(dmeanfs(value2,coef2) ) - (  1.123456789 ) ) / fabs ( dmeanfs(value2,coef2)  ) <  3e-16 );
+
+  return 0;
+}
+
+static int dmeanfaTest(void) {
+  double table1[3] = {3.0, 3.0, 3.0};
+  double coef1[3] = {10.0, 2.0, 6.0}; 
+
+  double table2[5] = {3.186784563,
+		     4.186784563,
+		     5.186784563,
+		     6.186784563,
+		     7.186784563};
+
+  double coef2[5] = {3.0,
+		     4.0,
+		     5.0,
+		     6.0,
+		     7.0};
+
+  printf("\n>>>> Meanf Float Array Test\n");
+  assert(dmeanfa(table1, 3, coef1) == 54.0 / 18.0);
+  assert((dmeanfa(table2, 5, coef2) - (3.186784563*3.0 + 4.186784563*4.0 + 5.186784563*5.0 + 6.186784563*6.0  + 7.186784563*7.0) / 25.0) / dmeanfa(table2, 5 ,coef2) < 3e-16);
+  return 0;
+}
+
+
+static int dcolumnmeanfaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double table2[10] = {1.0,   2.0,  3.0,  4.0 ,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0};
+  double coef2[10] =  {11.0, 12.0, 13.0, 14.0 , 15.0, 16.0, 17.0, 18.0, 19.0, 20.0};
+  double columnMeanmedTable1_3_3[3] = {0};
+  double columnMeanmedTable1_1_9[1] = {0};
+  double columnMeanmedTable1_9_1[9] = {0};
+  double columnMeanmedTable2_2_5[2] = {0};
+  double columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Mean Double Array Test\n");
+  /*
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 68 32 146 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  */
+  dcolumnmeanfa(table1, 3, 3, coef1 ,columnMeanmedTable1_3_3);
+  assert( ( fabs(columnMeanmedTable1_3_3[0] ) - (  68.0 /  33.0 ) ) / fabs ( columnMeanmedTable1_3_3[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable1_3_3[1] ) - (  32.0 /   6.0 ) ) / fabs ( columnMeanmedTable1_3_3[1]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable1_3_3[2] ) - (  146.0 / 18.0 ) ) / fabs ( columnMeanmedTable1_3_3[2]  ) <  3e-16 );
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  dcolumnmeanfa(table1, 1, 9, coef1 ,columnMeanmedTable1_1_9);
+  assert( ( fabs(columnMeanmedTable1_1_9[0] ) - (  246.0 / 57.0 ) ) / fabs ( columnMeanmedTable1_1_9[0]  ) <  3e-16 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  dcolumnmeanfa(table1, 9, 1, coef1, columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ]=> [ 415 520 ]
+  */
+  dcolumnmeanfa(table2, 2, 5, coef2 , columnMeanmedTable2_2_5);
+  assert( ( fabs(columnMeanmedTable2_2_5[0] ) - (  415.0 / 75.0 ) ) / fabs ( columnMeanmedTable2_2_5[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_2_5[1] ) - (  520.0 / 80.0 ) ) / fabs ( columnMeanmedTable2_2_5[1]  ) <  3e-16 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]  [ 11  16 ]
+    [ 2  7 ]  [ 12  17 ] => [ 107 143 183 227 275 ]
+    [ 3  8 ].*[ 13  18 ]
+    [ 4  9 ]  [ 14  19 ]
+    [ 5 10 ]  [ 15  20 ]
+  */
+  dcolumnmeanfa(table2, 5, 2, coef2 ,columnMeanmedTable2_5_2);
+  assert( ( fabs(columnMeanmedTable2_5_2[0] ) - (  107.0 / 27.0 ) ) / fabs ( columnMeanmedTable2_5_2[0]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[1] ) - (  143.0 / 29.0 ) ) / fabs ( columnMeanmedTable2_5_2[1]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[2] ) - (  183.0 / 31.0 ) ) / fabs ( columnMeanmedTable2_5_2[2]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[3] ) - (  227.0 / 33.0 ) ) / fabs ( columnMeanmedTable2_5_2[3]  ) <  3e-16 );
+  assert( ( fabs(columnMeanmedTable2_5_2[4] ) - (  275.0 / 35.0 ) ) / fabs ( columnMeanmedTable2_5_2[4]  ) <  3e-16 );
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+
+static int drowmeanfaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double coef2[10] =  {11.0, 12.0, 13.0, 14.0 , 15.0, 16.0, 17.0, 18.0, 19.0, 20.0};
+  double rowMeanmedTable1_3_3[3] = {0};
+  double rowMeanmedTable1_1_9[9] = {0};
+  double rowMeanmedTable1_9_1[1] = {0};
+  double rowMeanmedTable2_2_5[5] = {0};
+
+
+  printf("\n>>>> Row Mean Double Array Test\n");
+  /*
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 49 80 117 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  */
+  drowmeanfa(table1, 3, 3, coef1 , rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert( ( fabs(rowMeanmedTable1_3_3[0] ) - (  49.0 / 16.0 ) ) / fabs ( rowMeanmedTable1_3_3[0]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable1_3_3[1] ) - (  80.0 / 19.0 ) ) / fabs ( rowMeanmedTable1_3_3[1]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable1_3_3[2] ) - ( 117.0 / 22.0 ) ) / fabs ( rowMeanmedTable1_3_3[2]  ) <  3e-16 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  drowmeanfa(table1, 1, 9, coef1, rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 246 ]
+  */
+  drowmeanfa(table1, 9, 1, coef1, rowMeanmedTable1_9_1);
+  assert( ( fabs(rowMeanmedTable1_9_1[0] ) - (  246.0 / 57.0 ) ) / fabs ( rowMeanmedTable1_9_1[0]  ) <  3e-16 );
+
+  /*
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ] => [ 3 7 11 15 19 ]
+  */
+  drowmeanfa(table2, 2, 5, coef2, rowMeanmedTable2_2_5);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+  assert( ( fabs(rowMeanmedTable2_2_5[0] ) - (  35.0 / 23.0 ) ) / fabs ( rowMeanmedTable2_2_5[0]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[1] ) - (  95.0 / 27.0 ) ) / fabs ( rowMeanmedTable2_2_5[1]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[2] ) - ( 171.0 / 31.0 ) ) / fabs ( rowMeanmedTable2_2_5[2]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[3] ) - ( 263.0 / 35.0 ) ) / fabs ( rowMeanmedTable2_2_5[3]  ) <  3e-16 );
+  assert( ( fabs(rowMeanmedTable2_2_5[4] ) - ( 371.0 / 39.0 ) ) / fabs ( rowMeanmedTable2_2_5[4]  ) <  3e-16 );
+
+
+  return 0;
+}
+
+static int zmeanfsTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex coef1 = DoubleComplex(3.0, 0.0);
+  doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789);
+  doubleComplex coef2 = DoubleComplex(9.0, 0.0);
+
+  coef1 = DoubleComplex(3.0, 0.0);
+  coef2 = DoubleComplex(9.0, 0.0);
+
+  printf("\n>>>> Mean Double Complex Scalar Test\n");
+  assert( ( fabs(zreals(zmeanfs(value1,coef1)) ) - (  3.0 ) ) / fabs ( zreals(zmeanfs(value1,coef1))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeanfs(value1,coef1)) ) - (  3.0 ) ) / fabs ( zimags(zmeanfs(value1,coef1))  ) <  3e-16 );
+  assert( ( fabs(zreals(zmeanfs(value2,coef1)) ) - (  1.123456789 ) ) / fabs ( zreals(zmeanfs(value2,coef1))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeanfs(value2,coef1)) ) - (  1.123456789 ) ) / fabs ( zimags(zmeanfs(value2,coef1))  ) <  3e-16 );
+  return 0;
+}
+
+
+
+static int zmeanfaTest(void) {
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+
+  printf("\n>>>> Mean Double Complex Array Test\n");
+  
+
+  assert( ( fabs(zreals(zmeanfa(table1, 3, coef1)) ) - (  246.0 /  57.0 ) ) / fabs ( zreals(zmeanfa(table1, 3, coef1))  ) <  3e-16 );
+  assert( ( fabs(zimags(zmeanfa(table1, 3, coef1)) ) - (  288.0 /  57.0 ) ) / fabs ( zimags(zmeanfa(table1, 3, coef1))  ) <  3e-16 );/*
+*/
+  return 0;
+}
+
+static int zrowmeanfaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0 , 0.0};
+  double coefR2[10]  = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0 , 0.0}; 
+  double coefI2[10]   ={10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0};
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 10);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 10);
+
+  doubleComplex rowMeanmedTable1_3_3[3];
+  doubleComplex rowMeanmedTable2_2_5[5];
+
+  rowMeanmedTable1_3_3[0] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable1_3_3[1] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable1_3_3[2] = DoubleComplex(0.0, 0.0);
+
+  rowMeanmedTable2_2_5[0] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable2_2_5[1] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable2_2_5[2] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable2_2_5[3] = DoubleComplex(0.0, 0.0);
+  rowMeanmedTable2_2_5[4] = DoubleComplex(0.0, 0.0);
+
+ /*
+  doubleComplex rowMeanmedTable1_1_9[9] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable1_9_1[1] = {DoubleComplex(0.0, 0.0)};
+
+  doubleComplex rowMeanmedTable2_5_2[2] = {DoubleComplex(0.0, 0.0)};
+*/
+
+  printf("\n>>>> Row Meanf Double Complex Array Test\n");
+
+  /**/
+
+  zrowmeanfa(table1 , 3 , 3 , coef1 , rowMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+
+      printf("rowMeanmedTable_3_3[%d] = %e + %ei\n", i, zreals(rowMeanmedTable1_3_3[i]), zimags(rowMeanmedTable1_3_3[i]));
+    }
+  assert(  fabs(zimags(rowMeanmedTable1_3_3[0])  - ( 27.0 / 16.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[0])  ) <  3e-16 );
+  assert(  fabs(zreals(rowMeanmedTable1_3_3[0])  - ( 49.0 / 16.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[0])  ) <  3e-16 );
+  
+  assert(  fabs(zimags(rowMeanmedTable1_3_3[1])  - ( 90.0 / 19.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[1])  ) <  3e-16 );
+  assert(  fabs(zreals(rowMeanmedTable1_3_3[1])  - ( 80.0 / 19.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[1])  ) <  3e-16 );
+
+  assert(  fabs(zimags(rowMeanmedTable1_3_3[2])  - (171.0 / 22.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[2])  ) <  3e-16 );
+  assert(  fabs(zreals(rowMeanmedTable1_3_3[2])  - (117.0 / 22.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[2])  ) <  3e-16 );
+/**/
+
+  printf("\n\n");
+  zrowmeanfa(table2 , 2 , 5 , coef2 , rowMeanmedTable2_2_5);
+
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowMeanmedTable_2_5[%d] = %e + %ei\n", i, zreals(rowMeanmedTable2_2_5[i]), zimags(rowMeanmedTable2_2_5[i]));
+    }
+  assert( fabs(zreals(rowMeanmedTable2_2_5[0])  - 1.2727273 ) / fabs ( zreals(rowMeanmedTable2_2_5[0])  ) <  1e-6 );
+  assert( zimags(rowMeanmedTable2_2_5[0])  == 0);
+
+  assert( fabs(zreals(rowMeanmedTable2_2_5[1])  - 3.5625000 ) / fabs ( zreals(rowMeanmedTable2_2_5[1])  ) <  1e-6 );
+  assert( zimags(rowMeanmedTable2_2_5[1])  == 0);
+
+  assert( fabs(zreals(rowMeanmedTable2_2_5[2])  - 7.2500000 ) / fabs ( zreals(rowMeanmedTable2_2_5[2])  ) <  1e-6 );
+  assert( zimags(rowMeanmedTable2_2_5[2])  == 0);
+
+  assert( fabs(zreals(rowMeanmedTable2_2_5[3])  - 3.6000000 ) / fabs ( zreals(rowMeanmedTable2_2_5[3])  ) <  1e-6 );
+  assert( zimags(rowMeanmedTable2_2_5[3])  == 0);
+
+  assert( fabs(zreals(rowMeanmedTable2_2_5[4])  - 9.7307692 ) / fabs ( zreals(rowMeanmedTable2_2_5[4])  ) <  1e-6 );
+ assert( zimags(rowMeanmedTable2_2_5[4])  == 0);
+
+
+  return 0;
+}
+
+
+static int zcolumnmeanfaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+/*
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI2[10]   = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+*/
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+/*
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 9);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 9);
+*/
+  doubleComplex columnMeanmedTable1_3_3[3] ;
+ /*
+  doubleComplex rowMeanmedTable1_1_9[9] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable1_9_1[1] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_2_5[5] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_5_2[2] = {DoubleComplex(0.0, 0.0)};
+*/
+
+  columnMeanmedTable1_3_3[0] = DoubleComplex(0.0, 0.0);
+  columnMeanmedTable1_3_3[1] = DoubleComplex(0.0, 0.0);
+  columnMeanmedTable1_3_3[2] = DoubleComplex(0.0, 0.0);
+
+  printf("\n>>>> Column Meanf Double Complex Array Test\n");
+
+  /**/
+
+  zcolumnmeanfa(table1 , 3 , 3 , coef1 , columnMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnMeanmedTable_3_3[%d] = %e + %ei\n", i, zreals(columnMeanmedTable1_3_3[i]), zimags(columnMeanmedTable1_3_3[i]));
+    }
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[0]) ) - (138.0 / 33.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[0])  ) <  3e-16 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[0]) ) - ( 68.0 / 33.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[0])  ) <  3e-16 );
+  
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[1]) ) - ( 36.0 /  6.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[1])  ) <  3e-16 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[1]) ) - ( 32.0 /  6.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[1])  ) <  3e-16 );
+
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[2]) ) - (114.0 / 18.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[2])  ) <  3e-16 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[2]) ) - (146.0 / 18.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[2])  ) <  3e-16 );
+
+
+
+
+  return 0;
+}
+
+
+
+static int testMeanf(void) {
+
+  dmeanfsTest();
+  dmeanfaTest();
+  dcolumnmeanfaTest();
+  drowmeanfaTest();
+  zmeanfsTest();
+  zmeanfaTest();
+  zrowmeanfaTest();
+  zcolumnmeanfaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testMeanf() == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/meanf/testFloatMeanf.c b/src/c/statisticsFunctions/meanf/testFloatMeanf.c
new file mode 100644
index 0000000..ead8a86
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/testFloatMeanf.c
@@ -0,0 +1,383 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "meanf.h"
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int smeanfsTest(void) {
+  float value1 ;
+  float value2 ;
+  float coef1  ;
+  float coef2  ;
+
+  value1 = 3.0f;
+  value2 = 1.123456789f;
+  coef1  = 56.0f ;
+  coef2  = 2.0f ;
+
+  printf("\n>>>> Meanf Float Scalar Test\n");
+  assert( ( fabs(smeanfs(value1,coef1) ) - (  3.0f ) ) / fabs ( smeanfs(value1,coef1)  ) <  1e-6 );
+  assert( ( fabs(smeanfs(value2,coef2) ) - (  1.123456789f ) ) / fabs ( smeanfs(value2,coef2)  ) <  1e-6 );
+
+  return 0;
+}
+
+static int smeanfaTest(void) {
+  float table1[3] = {3.0f, 3.0f, 3.0f};
+  float coef1[3] = {10.0f, 2.0f, 6.0f}; 
+
+  float table2[5] = {3.186784563f,
+		     4.186784563f,
+		     5.186784563f,
+		     6.186784563f,
+		     7.186784563f};
+
+  float coef2[5] = {3.0f,
+		     4.0f,
+		     5.0f,
+		     6.0f,
+		     7.0f};
+
+  printf("\n>>>> Meanf Float Array Test\n");
+  assert(smeanfa(table1, 3, coef1) == 54.0f / 18.0f);
+  assert((smeanfa(table2, 5, coef2) - (3.186784563f*3.0f + 4.186784563f*4.0f + 5.186784563f*5.0f + 6.186784563f*6.0f  + 7.186784563f*7.0f) / 25.0f) / smeanfa(table2, 5 ,coef2) < 1e-6);
+  return 0;
+}
+
+
+static int scolumnmeanfaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float table2[10] = {1.0f,   2.0f,  3.0f,  4.0f ,  5.0f,  6.0f,  7.0f,  8.0f,  9.0f, 10.0f};
+  float coef2[10] =  {11.0f, 12.0f, 13.0f, 14.0f , 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f};
+  float columnMeanmedTable1_3_3[3] = {0};
+  float columnMeanmedTable1_1_9[1] = {0};
+  float columnMeanmedTable1_9_1[9] = {0};
+  float columnMeanmedTable2_2_5[2] = {0};
+  float columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Mean Float Array Test\n");
+  /*
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 68 32 146 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  */
+  scolumnmeanfa(table1, 3, 3, coef1 ,columnMeanmedTable1_3_3);
+  assert( fabs(columnMeanmedTable1_3_3[0]  - (  68.0f /  33.0f ) ) / fabs ( columnMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable1_3_3[1]  - (  32.0f /   6.0f ) ) / fabs ( columnMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable1_3_3[2]  - (  146.0f / 18.0f ) ) / fabs ( columnMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  scolumnmeanfa(table1, 1, 9, coef1 ,columnMeanmedTable1_1_9);
+  assert( ( fabs(columnMeanmedTable1_1_9[0] ) - (  246.0f / 57.0f ) ) / fabs ( columnMeanmedTable1_1_9[0]  ) <  1e-6 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  scolumnmeanfa(table1, 9, 1, coef1, columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ]=> [ 415 520 ]
+  */
+  scolumnmeanfa(table2, 2, 5, coef2 , columnMeanmedTable2_2_5);
+  assert( ( fabs(columnMeanmedTable2_2_5[0] ) - (  415.0f / 75.0f ) ) / fabs ( columnMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_2_5[1] ) - (  520.0f / 80.0f ) ) / fabs ( columnMeanmedTable2_2_5[1]  ) <  1e-6 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]  [ 11  16 ]
+    [ 2  7 ]  [ 12  17 ] => [ 107 143 183 227 275 ]
+    [ 3  8 ].*[ 13  18 ]
+    [ 4  9 ]  [ 14  19 ]
+    [ 5 10 ]  [ 15  20 ]
+  */
+  scolumnmeanfa(table2, 5, 2, coef2 ,columnMeanmedTable2_5_2);
+  assert( fabs(columnMeanmedTable2_5_2[0]  - (  107.0f / 27.0f ) ) / fabs ( columnMeanmedTable2_5_2[0]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable2_5_2[1]  - (  143.0f / 29.0f ) ) / fabs ( columnMeanmedTable2_5_2[1]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable2_5_2[2]  - (  183.0f / 31.0f ) ) / fabs ( columnMeanmedTable2_5_2[2]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable2_5_2[3]  - (  227.0f / 33.0f ) ) / fabs ( columnMeanmedTable2_5_2[3]  ) <  1e-6 );
+  assert( fabs(columnMeanmedTable2_5_2[4]  - (  275.0f / 35.0f ) ) / fabs ( columnMeanmedTable2_5_2[4]  ) <  1e-6 );
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+
+static int srowmeanfaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float coef2[10] =  {11.0f, 12.0f, 13.0f, 14.0f , 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f};
+  float rowMeanmedTable1_3_3[3] = {0};
+  float rowMeanmedTable1_1_9[9] = {0};
+  float rowMeanmedTable1_9_1[1] = {0};
+  float rowMeanmedTable2_2_5[5] = {0};
+  /*float rowMeanmedTable2_5_2[2] = {0};*/
+
+  printf("\n>>>> Row Mean Float Array Test\n");
+  /*
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 49 80 117 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  */
+  srowmeanfa(table1, 3, 3, coef1 , rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert( fabs(rowMeanmedTable1_3_3[0]  - (  49.0f / 16.0f ) ) / fabs ( rowMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable1_3_3[1]  - (  80.0f / 19.0f ) ) / fabs ( rowMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable1_3_3[2]  - ( 117.0f / 22.0f ) ) / fabs ( rowMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  srowmeanfa(table1, 1, 9, coef1, rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 246 ]
+  */
+  srowmeanfa(table1, 9, 1, coef1, rowMeanmedTable1_9_1);
+  assert( ( fabs(rowMeanmedTable1_9_1[0] ) - (  246.0f / 57.0f ) ) / fabs ( rowMeanmedTable1_9_1[0]  ) <  1e-6 );
+
+  /*
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ] => [ 3 7 11 15 19 ]
+  */
+  srowmeanfa(table2, 2, 5, coef2, rowMeanmedTable2_2_5);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+  assert( fabs(rowMeanmedTable2_2_5[0]  - (  35.0f / 23.0f ) ) / fabs ( rowMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable2_2_5[1]  - (  95.0f / 27.0f ) ) / fabs ( rowMeanmedTable2_2_5[1]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable2_2_5[2]  - ( 171.0f / 31.0f ) ) / fabs ( rowMeanmedTable2_2_5[2]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable2_2_5[3]  - ( 263.0f / 35.0f ) ) / fabs ( rowMeanmedTable2_2_5[3]  ) <  1e-6 );
+  assert( fabs(rowMeanmedTable2_2_5[4]  - ( 371.0f / 39.0f ) ) / fabs ( rowMeanmedTable2_2_5[4]  ) <  1e-6 );
+
+
+  return 0;
+}
+
+static int cmeanfsTest(void) {
+  floatComplex value1 ;
+  floatComplex coef1 ;
+  floatComplex value2 ;
+  floatComplex coef2 ;
+
+  value1 = FloatComplex(3.0f, 3.0f);
+  coef1  = FloatComplex(3.0f, 0.0f);
+  value2 = FloatComplex(1.123456789f, 1.123456789f);
+  coef2  = FloatComplex(9.0f, 0.0f);
+
+  printf("\n>>>> Mean Float Complex Scalar Test\n");
+  assert(  fabs(creals(cmeanfs(value1,coef1))  - (  3.0f ) ) / fabs ( creals(cmeanfs(value1,coef1))  ) <  1e-6 );
+  assert(  fabs(cimags(cmeanfs(value1,coef1))  - (  3.0f ) ) / fabs ( cimags(cmeanfs(value1,coef1))  ) <  1e-6 );
+  assert(  fabs(creals(cmeanfs(value2,coef1))  - (  1.123456789f ) ) / fabs ( creals(cmeanfs(value2,coef1))  ) <  1e-6 );
+  assert(  fabs(cimags(cmeanfs(value2,coef1))  - (  1.123456789f ) ) / fabs ( cimags(cmeanfs(value2,coef1))  ) <  1e-6 );
+  return 0;
+}
+
+
+
+static int cmeanfaTest(void) {
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+
+  printf("\n>>>> Mean Float Complex Array Test\n");
+  printf("\tMeanmedTable_1_1[0] = %e + %ei\n", creals(cmeanfa(table1, 9, coef1)), cimags(cmeanfa(table1, 9, coef1)));
+
+  assert( fabs( creals(cmeanfa(table1, 9, coef1))  - (  246.0f /  57.0f ) ) / fabs ( creals(cmeanfa(table1, 9, coef1))  ) <  1e-6 );
+  assert( fabs( cimags(cmeanfa(table1, 9, coef1))  - (  288.0f /  57.0f ) ) / fabs ( cimags(cmeanfa(table1, 9, coef1))  ) <  1e-6 );/*
+*/
+  return 0;
+}
+
+static int crowmeanfaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+/*
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+*/
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+/*
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 9);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 9);
+*/
+  floatComplex rowMeanmedTable1_3_3[3] ;
+  rowMeanmedTable1_3_3[0] = FloatComplex(0.0f, 0.0f);
+  rowMeanmedTable1_3_3[1] = FloatComplex(0.0f, 0.0f);
+  rowMeanmedTable1_3_3[2] = FloatComplex(0.0f, 0.0f);
+ /*
+  floatComplex rowMeanmedTable1_1_9[9] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable1_9_1[1] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_2_5[5] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_5_2[2] = {FloatComplex(0.0f, 0.0f)};
+*/
+
+  printf("\n>>>> Row Meanf Float Complex Array Test\n");
+
+  /**/
+
+  crowmeanfa(table1 , 3 , 3 , coef1 , rowMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+
+      printf("rowMeanmedTable_3_3[%d] = %e + %ei\n", i, creals(rowMeanmedTable1_3_3[i]), cimags(rowMeanmedTable1_3_3[i]));
+    }
+  assert( fabs(cimags(rowMeanmedTable1_3_3[0])  - ( 27.0f / 16.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(creals(rowMeanmedTable1_3_3[0])  - ( 49.0f / 16.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(cimags(rowMeanmedTable1_3_3[1])  - ( 90.0f / 19.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(creals(rowMeanmedTable1_3_3[1])  - ( 80.0f / 19.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(cimags(rowMeanmedTable1_3_3[2])  - (171.0f / 22.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(creals(rowMeanmedTable1_3_3[2])  - (117.0f / 22.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+
+
+static int ccolumnmeanfaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+/*
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+*/
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+/*
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 9);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 9);
+*/
+  floatComplex columnMeanmedTable1_3_3[3] ;
+  columnMeanmedTable1_3_3[0] = FloatComplex(0.0f, 0.0f);
+  columnMeanmedTable1_3_3[1] = FloatComplex(0.0f, 0.0f);
+  columnMeanmedTable1_3_3[2] = FloatComplex(0.0f, 0.0f);
+ /*
+  floatComplex rowMeanmedTable1_1_9[9] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable1_9_1[1] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_2_5[5] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_5_2[2] = {FloatComplex(0.0f, 0.0f)};
+*/
+
+  printf("\n>>>> Column Meanf Float Complex Array Test\n");
+
+  /**/
+
+  ccolumnmeanfa(table1 , 3 , 3 , coef1 , columnMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnMeanmedTable_3_3[%d] = %e + %ei\n", i, creals(columnMeanmedTable1_3_3[i]), cimags(columnMeanmedTable1_3_3[i]));
+    }
+  assert( fabs(cimags(columnMeanmedTable1_3_3[0])  - (138.0f / 33.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(creals(columnMeanmedTable1_3_3[0])  - ( 68.0f / 33.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(cimags(columnMeanmedTable1_3_3[1])  - ( 36.0f /  6.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(creals(columnMeanmedTable1_3_3[1])  - ( 32.0f /  6.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(cimags(columnMeanmedTable1_3_3[2])  - (114.0f / 18.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(creals(columnMeanmedTable1_3_3[2])  - (146.0f / 18.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+
+
+
+static int testMeanf(void) {
+
+  smeanfsTest();
+  smeanfaTest();
+  scolumnmeanfaTest();
+  srowmeanfaTest();
+  cmeanfsTest();
+  cmeanfaTest();
+  crowmeanfaTest();
+  ccolumnmeanfaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testMeanf() == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/meanf/zcolumnmeanfa.c b/src/c/statisticsFunctions/meanf/zcolumnmeanfa.c
new file mode 100644
index 0000000..efbfa89
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/zcolumnmeanfa.c
@@ -0,0 +1,39 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+#include "multiplication.h"
+
+void zcolumnmeanfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex *out) {
+  int i = 0;
+  int j = 0;
+  doubleComplex tempCoefSum = DoubleComplex(0.0,0.0);
+  doubleComplex tempMul = DoubleComplex(0.0,0.0);
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines ; ++j)
+  {
+    tempCoefSum =  DoubleComplex(0.0,0.0);
+    out[j]=  DoubleComplex(0.0,0.0);
+    for ( i = 0 ; i < columns; ++i )
+      {
+
+        tempMul = zmuls ( in1[lines*i + j] , in2[lines*i + j]); /* we times by the coefficient*/
+        tempCoefSum = zadds ( in2[lines*i + j] ,tempCoefSum ) ;
+        out[j] = zadds (tempMul, out[j]) ;
+      } 
+
+    out[j] = zrdivs(out[j] ,tempCoefSum) ;
+  }
+}
+
+
diff --git a/src/c/statisticsFunctions/meanf/zmeanfa.c b/src/c/statisticsFunctions/meanf/zmeanfa.c
new file mode 100644
index 0000000..f6691d9
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/zmeanfa.c
@@ -0,0 +1,29 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "multiplication.h"
+#include "division.h"
+
+doubleComplex zmeanfa(doubleComplex *in1, int size, doubleComplex *in2 ) {
+  doubleComplex accumulate = DoubleComplex(0.0, 0.0);
+  doubleComplex freAccumulate = DoubleComplex(0.0, 0.0);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = zadds(accumulate , zmuls( in1[i] ,in2[i]));
+      freAccumulate = zadds(in2[i],freAccumulate);
+    }
+  return zrdivs(accumulate ,freAccumulate);
+}
+
diff --git a/src/c/statisticsFunctions/meanf/zmeanfdz.c b/src/c/statisticsFunctions/meanf/zmeanfdz.c
new file mode 100644
index 0000000..a53902b
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/zmeanfdz.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "meanf.h"
+#include "zeros.h"
+
+doubleComplex zmeanfdz (double* in1 ,int lines , int columns , doubleComplex* in2)
+  {
+    double* ZEROS = (double *) malloc((unsigned int)(lines*columns*sizeof(double)));
+    dzerosa(ZEROS,lines,columns);
+    
+    return zmeanfa(DoubleComplexMatrix(in1,ZEROS,lines*columns), lines*columns , in2);
+  }
diff --git a/src/c/statisticsFunctions/meanf/zmeanfzd.c b/src/c/statisticsFunctions/meanf/zmeanfzd.c
new file mode 100644
index 0000000..f31910b
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/zmeanfzd.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "meanf.h"
+#include "zeros.h"
+
+doubleComplex zmeanfzd (doubleComplex* in1 ,int lines , int columns , double* in2)
+  {
+    double* ZEROS = (double *) malloc((unsigned int)(lines*columns*sizeof(double)));
+    dzerosa(ZEROS,lines,columns);
+    
+    return zmeanfa(in1, lines*columns , DoubleComplexMatrix(in2,ZEROS,lines*columns));
+  }
diff --git a/src/c/statisticsFunctions/meanf/zrowmeanfa.c b/src/c/statisticsFunctions/meanf/zrowmeanfa.c
new file mode 100644
index 0000000..7911413
--- /dev/null
+++ b/src/c/statisticsFunctions/meanf/zrowmeanfa.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "meanf.h"
+#include "sum.h"
+#include "multiplication.h"
+void zrowmeanfa(doubleComplex *in1, int lines, int columns, doubleComplex *in2, doubleComplex *out) {
+  int i = 0;
+  int j = 0;
+  doubleComplex tempCoefSum = DoubleComplex(0.0,0.0);
+  doubleComplex tempMul = DoubleComplex(0.0,0.0);
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+  {
+    tempCoefSum =  DoubleComplex(0.0,0.0);
+    out[j]=  DoubleComplex(0.0,0.0);
+    for ( i = 0 ; i < lines; ++i )
+      {
+
+        tempMul = zmuls ( in1[lines*j + i] , in2[lines*j + i]); /* we times by the coefficient*/
+        tempCoefSum = zadds ( in2[lines*j + i] ,tempCoefSum ) ;
+        out[j] = zadds (tempMul, out[j]) ;
+      } 
+
+    out[j] = zrdivs(out[j] ,tempCoefSum) ;
+  }
+}
diff --git a/src/c/statisticsFunctions/min/Makefile.am b/src/c/statisticsFunctions/min/Makefile.am
new file mode 100644
index 0000000..5b8a357
--- /dev/null
+++ b/src/c/statisticsFunctions/min/Makefile.am
@@ -0,0 +1,51 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
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+
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+
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+
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+
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+		srowmina.c \
+		scolumnmina.c \
+		dmina.c \
+		drowmina.c \
+		dcolumnmina.c
+
+HEAD	=	../includes/statMin.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes
+
+check_LDADD	=	$(top_builddir)/src/c/statisticsFunctions/min/libMin.la
+
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diff --git a/src/c/statisticsFunctions/min/Makefile.in b/src/c/statisticsFunctions/min/Makefile.in
new file mode 100644
index 0000000..fe6ddb3
--- /dev/null
+++ b/src/c/statisticsFunctions/min/Makefile.in
@@ -0,0 +1,759 @@
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+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am: uninstall-pkglibLTLIBRARIES
+
+.MAKE: check-am install-am install-strip
+
+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/min/dcolumnmina.c b/src/c/statisticsFunctions/min/dcolumnmina.c
new file mode 100644
index 0000000..6f0b3c1
--- /dev/null
+++ b/src/c/statisticsFunctions/min/dcolumnmina.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+void dcolumnmina(double *in, int rows, int columns, double* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) out[i] = in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/dmina.c b/src/c/statisticsFunctions/min/dmina.c
new file mode 100644
index 0000000..232232c
--- /dev/null
+++ b/src/c/statisticsFunctions/min/dmina.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+double dmina(double *in, int size) {
+  double out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) out = in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/drowmina.c b/src/c/statisticsFunctions/min/drowmina.c
new file mode 100644
index 0000000..f74498a
--- /dev/null
+++ b/src/c/statisticsFunctions/min/drowmina.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+void drowmina(double *in, int rows, int columns, double* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i]) out[i] = in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/min/i16columnmina.c b/src/c/statisticsFunctions/min/i16columnmina.c
new file mode 100644
index 0000000..64ec334
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i16columnmina.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void i16columnmina(int16 *in, int rows, int columns, int16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(int16)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) 
+                   out[i] = (int16)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/i16mina.c b/src/c/statisticsFunctions/min/i16mina.c
new file mode 100644
index 0000000..402b946
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i16mina.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+int16 i16mina(int16 *in, int size) {
+  int16 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) 
+         out = (int16)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/i16rowmina.c b/src/c/statisticsFunctions/min/i16rowmina.c
new file mode 100644
index 0000000..51f575a
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i16rowmina.c
@@ -0,0 +1,24 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void i16rowmina(int16 *in, int rows, int columns, int16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(int16)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i]) 
+                    out[i] = (int16)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/min/i8columnmina.c b/src/c/statisticsFunctions/min/i8columnmina.c
new file mode 100644
index 0000000..041bc9b
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i8columnmina.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void i8columnmina(int8 *in, int rows, int columns, int8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(int8)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) 
+                   out[i] = (int8)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/i8mina.c b/src/c/statisticsFunctions/min/i8mina.c
new file mode 100644
index 0000000..f7acac7
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i8mina.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+int8 i8mina(int8 *in, int size) {
+  int8 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) 
+         out = (int8)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/i8rowmina.c b/src/c/statisticsFunctions/min/i8rowmina.c
new file mode 100644
index 0000000..1c57382
--- /dev/null
+++ b/src/c/statisticsFunctions/min/i8rowmina.c
@@ -0,0 +1,24 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void i8rowmina(int8 *in, int rows, int columns, int8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(int8)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i])
+                     out[i] = (int8)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/min/scolumnmina.c b/src/c/statisticsFunctions/min/scolumnmina.c
new file mode 100644
index 0000000..8e19b1d
--- /dev/null
+++ b/src/c/statisticsFunctions/min/scolumnmina.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+void scolumnmina(float *in, int rows, int columns, float* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) out[i] = in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/smina.c b/src/c/statisticsFunctions/min/smina.c
new file mode 100644
index 0000000..bdc929c
--- /dev/null
+++ b/src/c/statisticsFunctions/min/smina.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud Torset
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+float smina(float *in, int size) {
+  float out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) out = in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/srowmina.c b/src/c/statisticsFunctions/min/srowmina.c
new file mode 100644
index 0000000..bbdb4f0
--- /dev/null
+++ b/src/c/statisticsFunctions/min/srowmina.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "statMin.h"
+
+void srowmina(float *in, int rows, int columns, float* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i]) out[i] = in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/min/testDoubleMin.c b/src/c/statisticsFunctions/min/testDoubleMin.c
new file mode 100644
index 0000000..4152216
--- /dev/null
+++ b/src/c/statisticsFunctions/min/testDoubleMin.c
@@ -0,0 +1,93 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud Torset
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+
+#include "statMin.h"
+#include "assert.h"
+#include "stdio.h"
+
+
+static void dminaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	double out;
+	
+	out = dmina(in,12);
+	assert(out-1==0);
+	
+}
+
+
+static void drowminaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};	
+	double result2[2]={1,1};
+	double result3[3]={1,1,2};
+	double result4[4]={4,1,1,3};
+	double result6[6]={4,1,2,1,2,3};
+	double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	int i;
+	
+	
+	drowmina(in,12,1,out1);
+	drowmina(in,6,2,out2);
+	drowmina(in,4,3,out3);
+	drowmina(in,3,4,out4);
+	drowmina(in,2,6,out6);
+	drowmina(in,1,12,out12);
+	
+	assert(out1[0]-1==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+
+static void dcolumnminaTest(void){
+	double in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	double result2[2]={2,1};
+	double result3[3]={1,1,2};
+	double result4[4]={2,5,4,1};
+	double result6[6]={4,1,2,1,2,3};
+	int i;
+	
+	
+	
+	dcolumnmina(in,12,1,out12);
+	dcolumnmina(in,6,2,out6);
+	dcolumnmina(in,4,3,out4);
+	dcolumnmina(in,3,4,out3);
+	dcolumnmina(in,2,6,out2);
+	dcolumnmina(in,1,12,out1);
+	
+	assert(out1[0]-1==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+static int minTest(void){
+	dminaTest();
+	drowminaTest();
+	dcolumnminaTest();
+	return 0;
+}
+
+
+int main(void){
+	assert(minTest()==0);
+	return 0;
+}
diff --git a/src/c/statisticsFunctions/min/testFloatMin.c b/src/c/statisticsFunctions/min/testFloatMin.c
new file mode 100644
index 0000000..70022a6
--- /dev/null
+++ b/src/c/statisticsFunctions/min/testFloatMin.c
@@ -0,0 +1,92 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud Torset
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+
+#include "statMin.h"
+#include "assert.h"
+#include "stdio.h"
+
+static void sminaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out;
+	
+	out = smina(in,12);
+	assert(out-1==0);
+	
+}
+
+
+static void srowminaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	float result2[2]={1,1};
+	float result3[3]={1,1,2};
+	float result4[4]={4,1,1,3};
+	float result6[6]={4,1,2,1,2,3};
+	int i;
+	
+	
+	srowmina(in,12,1,out1);
+	srowmina(in,6,2,out2);
+	srowmina(in,4,3,out3);
+	srowmina(in,3,4,out4);
+	srowmina(in,2,6,out6);
+	srowmina(in,1,12,out12);
+	
+	assert(out1[0]-1==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+
+static void scolumnminaTest(void){
+	float in[12]={4,5,7,1,2,6,4,1,2,5,4,3};
+	float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12];
+	float result2[2]={2,1};
+	float result3[3]={1,1,2};
+	float result4[4]={2,5,4,1};
+	float result6[6]={4,1,2,1,2,3};
+	int i;
+	
+	
+	
+	scolumnmina(in,12,1,out12);
+	scolumnmina(in,6,2,out6);
+	scolumnmina(in,4,3,out4);
+	scolumnmina(in,3,4,out3);
+	scolumnmina(in,2,6,out2);
+	scolumnmina(in,1,12,out1);
+	
+	assert(out1[0]-1==0);
+	for (i=0;i<2;i++) 	assert(out2[i]-result2[i]==0);
+	for (i=0;i<3;i++) 	assert(out3[i]-result3[i]==0);
+	for (i=0;i<4;i++) 	assert(out4[i]-result4[i]==0);
+	for (i=0;i<6;i++) 	assert(out6[i]-result6[i]==0);
+	for (i=0;i<12;i++) 	assert(out12[i]-in[i]==0);
+}
+
+static int minTest(void){
+	sminaTest();
+	srowminaTest();
+	scolumnminaTest();
+	return 0;
+}
+
+
+int main(void){
+	assert(minTest()==0);
+	return 0;
+}
diff --git a/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj b/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj
new file mode 100644
index 0000000..aa78adb
--- /dev/null
+++ b/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj
@@ -0,0 +1,178 @@
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+    <CharacterSet>Unicode</CharacterSet>

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+    <ConfigurationType>Application</ConfigurationType>

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+    <IntDir Condition="'$(Configuration)|$(Platform)'=='Release|x64'">$(ProjectDir)$(Configuration)\</IntDir>

+    <LinkIncremental Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">false</LinkIncremental>

+    <LinkIncremental Condition="'$(Configuration)|$(Platform)'=='Release|x64'">false</LinkIncremental>

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+      <Optimization>Disabled</Optimization>

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+      <PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

+      <MinimalRebuild>true</MinimalRebuild>

+      <BasicRuntimeChecks>EnableFastChecks</BasicRuntimeChecks>

+      <RuntimeLibrary>MultiThreadedDebugDLL</RuntimeLibrary>

+      <PrecompiledHeader>

+      </PrecompiledHeader>

+      <WarningLevel>Level3</WarningLevel>

+      <DebugInformationFormat>EditAndContinue</DebugInformationFormat>

+    </ClCompile>

+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

+      <GenerateDebugInformation>true</GenerateDebugInformation>

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+      </PrecompiledHeader>

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+      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>

+      <FunctionLevelLinking>true</FunctionLevelLinking>

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+      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>

+      <FunctionLevelLinking>true</FunctionLevelLinking>

+      <PrecompiledHeader>

+      </PrecompiledHeader>

+      <WarningLevel>Level3</WarningLevel>

+      <DebugInformationFormat>ProgramDatabase</DebugInformationFormat>

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+    <Link>

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+      <GenerateDebugInformation>true</GenerateDebugInformation>

+      <SubSystem>Console</SubSystem>

+      <OptimizeReferences>true</OptimizeReferences>

+      <EnableCOMDATFolding>true</EnableCOMDATFolding>

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+  <ItemGroup>

+    <ClCompile Include="..\testDoubleMin.c">

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">CompileAsCpp</CompileAs>

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+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">CompileAsCpp</CompileAs>

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+      <Project>{e11ed064-3bf2-4f70-b66e-3223c737ec60}</Project>

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+  </ItemGroup>

+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />

+  <ImportGroup Label="ExtensionTargets">

+  </ImportGroup>

+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj.filters b/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj.filters
new file mode 100644
index 0000000..257addf
--- /dev/null
+++ b/src/c/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcxproj.filters
@@ -0,0 +1,22 @@
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+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">

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+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>

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+    <ClCompile Include="..\testDoubleMin.c">

+      <Filter>Source Files</Filter>

+    </ClCompile>

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+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj b/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj
new file mode 100644
index 0000000..409d4ad
--- /dev/null
+++ b/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj
@@ -0,0 +1,178 @@
+<?xml version="1.0" encoding="utf-8"?>

+<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">

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+    <ProjectGuid>{0A156C36-89D5-485E-BB8E-C7536A1DA566}</ProjectGuid>

+    <RootNamespace>testFloatMin</RootNamespace>

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+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />

+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">

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+    <ConfigurationType>Application</ConfigurationType>

+    <CharacterSet>Unicode</CharacterSet>

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+      </PrecompiledHeader>

+      <WarningLevel>Level3</WarningLevel>

+      <DebugInformationFormat>EditAndContinue</DebugInformationFormat>

+    </ClCompile>

+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

+      <GenerateDebugInformation>true</GenerateDebugInformation>

+      <SubSystem>Console</SubSystem>

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+    </Link>

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+      <PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

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+      <RuntimeLibrary>MultiThreadedDebugDLL</RuntimeLibrary>

+      <PrecompiledHeader>

+      </PrecompiledHeader>

+      <WarningLevel>Level3</WarningLevel>

+      <DebugInformationFormat>ProgramDatabase</DebugInformationFormat>

+    </ClCompile>

+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

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+      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

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diff --git a/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj.filters b/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj.filters
new file mode 100644
index 0000000..ab525fa
--- /dev/null
+++ b/src/c/statisticsFunctions/min/test_FloatMin/testFloatMin.vcxproj.filters
@@ -0,0 +1,22 @@
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+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">

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+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>

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\ No newline at end of file
diff --git a/src/c/statisticsFunctions/min/u16columnmina.c b/src/c/statisticsFunctions/min/u16columnmina.c
new file mode 100644
index 0000000..1df155d
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u16columnmina.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void u16columnmina(uint16 *in, int rows, int columns, uint16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(uint16)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) 
+                   out[i] = (uint16)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/u16mina.c b/src/c/statisticsFunctions/min/u16mina.c
new file mode 100644
index 0000000..e09f044
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u16mina.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+uint16 u16mina(uint16 *in, int size) {
+  uint16 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) 
+         out = (uint16)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/u16rowmina.c b/src/c/statisticsFunctions/min/u16rowmina.c
new file mode 100644
index 0000000..dc4ba08
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u16rowmina.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "statMin.h"
+
+void u16rowmina(uint16 *in, int rows, int columns, uint16* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(uint16)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i]) 
+                    out[i] = (uint16)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/min/u8columnmina.c b/src/c/statisticsFunctions/min/u8columnmina.c
new file mode 100644
index 0000000..07269fa
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u8columnmina.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void u8columnmina(uint8 *in, int rows, int columns, uint8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < rows; i++) {
+	  out[i]=(uint8)in[i*columns];
+	  for (j=0;j<columns;j++)
+      		if (in[i+j*rows]<out[i]) 
+                   out[i] = (uint8)in[i+j*rows];
+    }
+
+}
diff --git a/src/c/statisticsFunctions/min/u8mina.c b/src/c/statisticsFunctions/min/u8mina.c
new file mode 100644
index 0000000..579d1b3
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u8mina.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+uint8 u8mina(uint8 *in, int size) {
+  uint8 out = in[0];
+  int i = 0;
+
+  for (i = 1; i < size; ++i)
+    {
+      if (in[i]<out) 
+         out = (uint8)in[i];
+    }
+  return out;
+
+}
diff --git a/src/c/statisticsFunctions/min/u8rowmina.c b/src/c/statisticsFunctions/min/u8rowmina.c
new file mode 100644
index 0000000..2f1de4f
--- /dev/null
+++ b/src/c/statisticsFunctions/min/u8rowmina.c
@@ -0,0 +1,24 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Mushir
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "statMin.h"
+
+void u8rowmina(uint8 *in, int rows, int columns, uint8* out) {
+  int i = 0, j = 0;
+
+  for (i = 0; i < columns; i++) {
+	  out[i]=(uint8)in[i*rows];
+	  for (j = 1 ; j < rows ; j++)
+     		 if (in[i*rows+j]<out[i])
+                    out[i] = (uint8)in[i*rows+j];
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/Makefile.am b/src/c/statisticsFunctions/prod/Makefile.am
new file mode 100644
index 0000000..4c217f5
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/Makefile.am
@@ -0,0 +1,66 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libProd_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libProd.la
+
+libProd_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	sproda.c \
+		srowproda.c \
+		scolumnproda.c \
+		dproda.c \
+		drowproda.c \
+		dcolumnproda.c \
+		cproda.c \
+		crowproda.c \
+		ccolumnproda.c \
+		zproda.c \
+		zrowproda.c \
+		zcolumnproda.c
+
+HEAD	=	../includes/prod.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/statisticsFunctions/prod/libProd.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatProd testDoubleProd
+
+TESTS		=	testFloatProd testDoubleProd
+
+#
+# -*- Prod Tests -*-
+#
+testFloatProd_SOURCES = testFloatProd.c
+testFloatProd_CFLAGS =	$(check_INCLUDES)
+testFloatProd_LDADD =	$(check_LDADD)
+
+testDoubleProd_SOURCES =testDoubleProd.c
+testDoubleProd_CFLAGS =	$(check_INCLUDES)
+testDoubleProd_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/prod/Makefile.in b/src/c/statisticsFunctions/prod/Makefile.in
new file mode 100644
index 0000000..67fb623
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/Makefile.in
@@ -0,0 +1,833 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
+pkgincludedir = $(includedir)/@PACKAGE@
+pkglibdir = $(libdir)/@PACKAGE@
+pkglibexecdir = $(libexecdir)/@PACKAGE@
+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
+install_sh_PROGRAM = $(install_sh) -c
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+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatProd$(EXEEXT) testDoubleProd$(EXEEXT)
+TESTS = testFloatProd$(EXEEXT) testDoubleProd$(EXEEXT)
+subdir = src/c/statisticsFunctions/prod
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
+ACLOCAL_M4 = $(top_srcdir)/aclocal.m4
+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
+	$(ACLOCAL_M4)
+mkinstalldirs = $(install_sh) -d
+CONFIG_HEADER = $(top_builddir)/includes/machine.h
+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
+am__nobase_strip_setup = \
+  srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*|]/\\\\&/g'`
+am__nobase_strip = \
+  for p in $$list; do echo "$$p"; done | sed -e "s|$$srcdirstrip/||"
+am__nobase_list = $(am__nobase_strip_setup); \
+  for p in $$list; do echo "$$p $$p"; done | \
+  sed "s| $$srcdirstrip/| |;"' / .*\//!s/ .*/ ./; s,\( .*\)/[^/]*$$,\1,' | \
+  $(AWK) 'BEGIN { files["."] = "" } { files[$$2] = files[$$2] " " $$1; \
+    if (++n[$$2] == $(am__install_max)) \
+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
+    END { for (dir in files) print dir, files[dir] }'
+am__base_list = \
+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
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+am__installdirs = "$(DESTDIR)$(pkglibdir)"
+LTLIBRARIES = $(pkglib_LTLIBRARIES)
+libProd_la_LIBADD =
+am__objects_1 =
+am__objects_2 = libProd_la-sproda.lo libProd_la-srowproda.lo \
+	libProd_la-scolumnproda.lo libProd_la-dproda.lo \
+	libProd_la-drowproda.lo libProd_la-dcolumnproda.lo \
+	libProd_la-cproda.lo libProd_la-crowproda.lo \
+	libProd_la-ccolumnproda.lo libProd_la-zproda.lo \
+	libProd_la-zrowproda.lo libProd_la-zcolumnproda.lo
+am_libProd_la_OBJECTS = $(am__objects_1) $(am__objects_2)
+libProd_la_OBJECTS = $(am_libProd_la_OBJECTS)
+libProd_la_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libProd_la_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testDoubleProd_OBJECTS = testDoubleProd-testDoubleProd.$(OBJEXT)
+testDoubleProd_OBJECTS = $(am_testDoubleProd_OBJECTS)
+am__DEPENDENCIES_1 = $(top_builddir)/src/c/type/libDoubleComplex.la \
+	$(top_builddir)/src/c/type/libFloatComplex.la \
+	$(top_builddir)/src/c/operations/addition/libAddition.la \
+	$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+	$(top_builddir)/src/c/statisticsFunctions/prod/libProd.la
+testDoubleProd_DEPENDENCIES = $(am__DEPENDENCIES_1)
+testDoubleProd_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testDoubleProd_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testFloatProd_OBJECTS = testFloatProd-testFloatProd.$(OBJEXT)
+testFloatProd_OBJECTS = $(am_testFloatProd_OBJECTS)
+testFloatProd_DEPENDENCIES = $(am__DEPENDENCIES_1)
+testFloatProd_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testFloatProd_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+DEFAULT_INCLUDES = -I.@am__isrc@ -I$(top_builddir)/includes
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+LTCOMPILE = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
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+	$(AM_CPPFLAGS) $(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
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+LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
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+	$(LDFLAGS) -o $@
+SOURCES = $(libProd_la_SOURCES) $(testDoubleProd_SOURCES) \
+	$(testFloatProd_SOURCES)
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+build_vendor = @build_vendor@
+builddir = @builddir@
+datadir = @datadir@
+datarootdir = @datarootdir@
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+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libProd_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libProd.la
+libProd_la_SOURCES = $(HEAD) $(SRC)
+SRC = sproda.c \
+		srowproda.c \
+		scolumnproda.c \
+		dproda.c \
+		drowproda.c \
+		dcolumnproda.c \
+		cproda.c \
+		crowproda.c \
+		ccolumnproda.c \
+		zproda.c \
+		zrowproda.c \
+		zcolumnproda.c
+
+HEAD = ../includes/prod.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/statisticsFunctions/prod/libProd.la \
+			@LIBMATH@
+
+
+#
+# -*- Prod Tests -*-
+#
+testFloatProd_SOURCES = testFloatProd.c
+testFloatProd_CFLAGS = $(check_INCLUDES)
+testFloatProd_LDADD = $(check_LDADD)
+testDoubleProd_SOURCES = testDoubleProd.c
+testDoubleProd_CFLAGS = $(check_INCLUDES)
+testDoubleProd_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
+.SUFFIXES: .c .lo .o .obj
+$(srcdir)/Makefile.in: @MAINTAINER_MODE_TRUE@ $(srcdir)/Makefile.am  $(am__configure_deps)
+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
+	      ( cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh ) \
+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
+	  esac; \
+	done; \
+	echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/prod/Makefile'; \
+	$(am__cd) $(top_srcdir) && \
+	  $(AUTOMAKE) --foreign src/c/statisticsFunctions/prod/Makefile
+.PRECIOUS: Makefile
+Makefile: $(srcdir)/Makefile.in $(top_builddir)/config.status
+	@case '$?' in \
+	  *config.status*) \
+	    cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh;; \
+	  *) \
+	    echo ' cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe)'; \
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+	esac;
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+	list2=; for p in $$list; do \
+	  if test -f $$p; then \
+	    list2="$$list2 $$p"; \
+	  else :; fi; \
+	done; \
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+	}
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+	done
+
+clean-pkglibLTLIBRARIES:
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+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libProd.la: $(libProd_la_OBJECTS) $(libProd_la_DEPENDENCIES) 
+	$(libProd_la_LINK) -rpath $(pkglibdir) $(libProd_la_OBJECTS) $(libProd_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
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+	@rm -f testDoubleProd$(EXEEXT)
+	$(testDoubleProd_LINK) $(testDoubleProd_OBJECTS) $(testDoubleProd_LDADD) $(LIBS)
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+	@rm -f testFloatProd$(EXEEXT)
+	$(testFloatProd_LINK) $(testFloatProd_OBJECTS) $(testFloatProd_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
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+
+mostlyclean-libtool:
+	-rm -f *.lo
+
+clean-libtool:
+	-rm -rf .libs _libs
+
+ID: $(HEADERS) $(SOURCES) $(LISP) $(TAGS_FILES)
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+	  done | \
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+	      END { if (nonempty) { for (i in files) print i; }; }'`; \
+	mkid -fID $$unique
+tags: TAGS
+
+TAGS:  $(HEADERS) $(SOURCES)  $(TAGS_DEPENDENCIES) \
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+	set x; \
+	here=`pwd`; \
+	list='$(SOURCES) $(HEADERS)  $(LISP) $(TAGS_FILES)'; \
+	unique=`for i in $$list; do \
+	    if test -f "$$i"; then echo $$i; else echo $(srcdir)/$$i; fi; \
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+	      *) \
+		col=$$grn; res=PASS; \
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+	      *[\ \	]$$tst[\ \	]*) \
+		xfail=`expr $$xfail + 1`; \
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+	      col=$$blu; res=SKIP; \
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+	    echo "$${col}$$res$${std}: $$tst"; \
+	  done; \
+	  if test "$$all" -eq 1; then \
+	    tests="test"; \
+	    All=""; \
+	  else \
+	    tests="tests"; \
+	    All="All "; \
+	  fi; \
+	  if test "$$failed" -eq 0; then \
+	    if test "$$xfail" -eq 0; then \
+	      banner="$$All$$all $$tests passed"; \
+	    else \
+	      if test "$$xfail" -eq 1; then failures=failure; else failures=failures; fi; \
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+	    fi; \
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+	      skipped="($$skip test was not run)"; \
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+	      skipped="($$skip tests were not run)"; \
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+	      dashes="$$skipped"; \
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+	  report=""; \
+	  if test "$$failed" -ne 0 && test -n "$(PACKAGE_BUGREPORT)"; then \
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+	      dashes="$$report"; \
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+	    echo "$$red$$dashes"; \
+	  fi; \
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+distdir: $(DISTFILES)
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+	list='$(DISTFILES)'; \
+	  dist_files=`for file in $$list; do echo $$file; done | \
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+	      -e "s|^$$topsrcdirstrip/|$(top_builddir)/|;t"`; \
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+	  */*) $(MKDIR_P) `echo "$$dist_files" | \
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+	    test -f "$(distdir)/$$file" \
+	    || cp -p $$d/$$file "$(distdir)/$$file" \
+	    || exit 1; \
+	  fi; \
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diff --git a/src/c/statisticsFunctions/prod/ccolumnproda.c b/src/c/statisticsFunctions/prod/ccolumnproda.c
new file mode 100644
index 0000000..8ea35e2
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/ccolumnproda.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+#include "multiplication.h"
+
+void ccolumnproda(floatComplex *in, int lines, int columns, floatComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = cmuls(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/cproda.c b/src/c/statisticsFunctions/prod/cproda.c
new file mode 100644
index 0000000..fe0c65d
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/cproda.c
@@ -0,0 +1,30 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "prod.h"
+#include "multiplication.h"
+
+
+floatComplex cproda(floatComplex *in, int size) {
+  floatComplex accumulate = in[0];
+  int i = 0;
+
+  
+  for (i = 1; i < size; ++i)
+    {
+      accumulate = cmuls(accumulate,in[i]);
+    }
+  return accumulate;
+
+}
+
+
diff --git a/src/c/statisticsFunctions/prod/crowproda.c b/src/c/statisticsFunctions/prod/crowproda.c
new file mode 100644
index 0000000..463895d
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/crowproda.c
@@ -0,0 +1,37 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+#include "multiplication.h"
+
+void crowproda(floatComplex *in, int lines, int columns, floatComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = cmuls( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/dcolumnproda.c b/src/c/statisticsFunctions/prod/dcolumnproda.c
new file mode 100644
index 0000000..6ecdcdc
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/dcolumnproda.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+
+void dcolumnproda(double *in, int lines, int columns, double * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] *= in[i];
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/dproda.c b/src/c/statisticsFunctions/prod/dproda.c
new file mode 100644
index 0000000..cc05890
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/dproda.c
@@ -0,0 +1,29 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "prod.h"
+
+
+double dproda(double *in, int size) {
+  double accumulate = in[0];
+  int i = 0;
+
+  
+  for (i = 1; i < size; ++i)
+    {
+      accumulate *= in[i];
+    }
+  return accumulate;
+
+}
+
+
diff --git a/src/c/statisticsFunctions/prod/drowproda.c b/src/c/statisticsFunctions/prod/drowproda.c
new file mode 100644
index 0000000..14f713c
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/drowproda.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+
+void drowproda(double *in, int lines, int columns, double * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] *= in[((i - 1) % columns) * lines + 1 + (i - 1) / columns];
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/scolumnproda.c b/src/c/statisticsFunctions/prod/scolumnproda.c
new file mode 100644
index 0000000..842d3d1
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/scolumnproda.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+
+void scolumnproda(float *in, int lines, int columns, float * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] *= in[i];
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/sproda.c b/src/c/statisticsFunctions/prod/sproda.c
new file mode 100644
index 0000000..9c5bfc2
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/sproda.c
@@ -0,0 +1,29 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "prod.h"
+
+
+float sproda(float *in, int size) {
+  float accumulate = in[0];
+  int i = 0;
+
+  
+  for (i = 1; i < size; ++i)
+    {
+      accumulate *= in[i];
+    }
+  return accumulate;
+
+}
+
+
diff --git a/src/c/statisticsFunctions/prod/srowproda.c b/src/c/statisticsFunctions/prod/srowproda.c
new file mode 100644
index 0000000..197072a
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/srowproda.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+
+void srowproda(float *in, int lines, int columns, float * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] *= in[((i - 1) % columns) * lines + 1 + (i - 1) / columns];
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/testDoubleProd.c b/src/c/statisticsFunctions/prod/testDoubleProd.c
new file mode 100644
index 0000000..6b5972a
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/testDoubleProd.c
@@ -0,0 +1,519 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "prod.h"
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dprodsTest(void) {
+  double value1 = 3.0;
+  double value2 = 1.123456789;
+
+  printf("\n>>>> prod Double Scalar Test\n");
+  assert(dprods(value1) == 3.0);
+  assert(dprods(value2) == 1.123456789);
+
+  return 0;
+}
+
+static int dprodaTest(void) {
+  double table1[3] = {3.0, 3.0, 3.0};
+  double table2[5] = {9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563};
+
+  printf("\n>>>> prod Double Array Test\n");
+  printf("%f\n", dproda(table1, 3));
+  assert(dproda(table1, 3) == 27.0);
+  assert((dproda(table2, 5) - (9.186784563 * 9.186784563 * 9.186784563 * 9.186784563 * 9.186784563)) / dproda(table2, 5) < 3e-15);
+  return 0;
+}
+
+static int dcolumnprodaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double columnProductedTable1_3_3[3] = {0};
+  double columnProductedTable1_1_9[1] = {0};
+  double columnProductedTable1_9_1[9] = {0};
+  double columnProductedTable2_2_5[2] = {0};
+  double columnProductedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column prod Double Array Test\n");
+  /*
+    [ 1 2 3 ]    [ 1*2*3=6   ]
+    [ 4 5 6 ] => [ 4*5*6=120 ]
+    [ 7 8 9 ]    [ 7*8*9=504 ]
+  */
+  dcolumnproda(table1, 3, 3,columnProductedTable1_3_3);
+  assert(columnProductedTable1_3_3[0] == 6.0);
+  assert(columnProductedTable1_3_3[1] == 120.0);
+  assert(columnProductedTable1_3_3[2] == 504.0);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 362880 ]
+  */
+  dcolumnproda(table1, 1, 9,columnProductedTable1_1_9);
+  assert(columnProductedTable1_1_9[0] == 362880.0);
+
+  /*
+    [ 1 ]     [ 1 ]
+    [ 2 ]     [ 2 ]
+    [ 3 ]     [ 3 ]
+    [ 4 ]     [ 4 ]
+    [ 5 ] =>  [ 5 ]
+    [ 6 ]     [ 6 ]
+    [ 7 ]     [ 7 ]
+    [ 8 ]     [ 8 ]
+    [ 9 ]     [ 9 ]
+  */
+  dcolumnproda(table1, 9, 1,columnProductedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnProductedTable1_9_1[%d] = %e\n", i, columnProductedTable1_9_1[i]);
+    assert(columnProductedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]    [ 945  ]
+    [ 2 4 6 8 10 ] => [ 3840 ]
+  */
+  dcolumnproda(table2, 2, 5,columnProductedTable2_2_5);
+  assert(columnProductedTable2_2_5[0] == 945.0);
+  assert(columnProductedTable2_2_5[1] == 3840.0);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnProductedTable2_2_5[%d] = %e\n", i, columnProductedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]    [ 6  ]
+    [ 2  7 ] => [ 14 ]
+    [ 3  8 ]    [ 24 ]
+    [ 4  9 ]    [ 36 ]
+    [ 5 10 ]    [ 50 ]
+  */
+  dcolumnproda(table2, 5, 2,columnProductedTable2_5_2);
+  assert(columnProductedTable2_5_2[0] == 6.0);
+  assert(columnProductedTable2_5_2[1] == 14.0);
+  assert(columnProductedTable2_5_2[2] == 24.0);
+  assert(columnProductedTable2_5_2[3] == 36.0);
+  assert(columnProductedTable2_5_2[4] == 50.0);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnProductedTable2_5_2[%d] = %e\n", i, columnProductedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int drowprodaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double rowProductedTable1_3_3[3] = {0};
+  double rowProductedTable1_1_9[9] = {0};
+  double rowProductedTable1_9_1[1] = {0};
+  double rowProductedTable2_2_5[5] = {0};
+  double rowProductedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row prod Double Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 28 80 162 ]
+    [ 7 8 9 ]
+  */
+  drowproda(table1, 3, 3,rowProductedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowProductedTable1_3_3[%d] = %e\n", i, rowProductedTable1_3_3[i]);
+  }
+  assert(rowProductedTable1_3_3[0] == 28.0);
+  assert(rowProductedTable1_3_3[1] == 80.0);
+  assert(rowProductedTable1_3_3[2] == 162.0);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 1 2 3 4 5 6 7 8 9 ]
+  */
+  drowproda(table1, 1, 9,rowProductedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowProductedTable1_1_9[%d] = %e\n", i, rowProductedTable1_1_9[i]);
+    assert(rowProductedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 362880 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  drowproda(table1, 9, 1,rowProductedTable1_9_1);
+  assert(rowProductedTable1_9_1[0] == 362880.0);
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 2 12 30 56 90 ]
+  */
+  drowproda(table2, 2, 5,rowProductedTable2_2_5);
+  assert(rowProductedTable2_2_5[0] == 2.0);
+  assert(rowProductedTable2_2_5[1] == 12.0);
+  assert(rowProductedTable2_2_5[2] == 30.0);
+  assert(rowProductedTable2_2_5[3] == 56.0);
+  assert(rowProductedTable2_2_5[4] == 90.0);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowProductedTable2_2_5[%d] = %e\n", i, rowProductedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 120 30240 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  drowproda(table2, 5, 2,rowProductedTable2_5_2);
+  assert(rowProductedTable2_5_2[0] == 120.0);
+  assert(rowProductedTable2_5_2[1] == 30240.0);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowProductedTable2_5_2[%d] = %e\n", i, rowProductedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int zprodsTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789);
+
+  printf("\n>>>> prod Double Complex Scalar Test\n");
+  assert(zreals(zprods(value1)) == 3.0);
+  assert(zimags(zprods(value1)) == 3.0);
+  assert(zreals(zprods(value2)) == 1.123456789);
+  assert(zimags(zprods(value2)) == 1.123456789);
+  return 0;
+}
+
+static int zprodaTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex table1[3];
+  doubleComplex value2 = DoubleComplex(9.186784563,9.186784563);
+  doubleComplex table2[5];
+
+  printf("\n>>>> prod Double Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");
+  printf("%e\n", zreals(zproda(table1, 3)));
+  printf("%e\n", zimags(zproda(table1, 3)));
+  printf("%1.20f\n", zreals(zproda(table2, 5)));
+  printf("%1.20f\n", zimags(zproda(table2, 5)));
+  printf("%1.20f\n", zreals(zproda(table2, 5)) + 261744.55211053110542707);
+  printf("--------\n");
+#endif
+  assert(zreals(zproda(table1, 3)) == -54.0);
+  assert(zimags(zproda(table1, 3)) == 54.0);
+  assert(fabs(zreals(zproda(table2, 5)) + 261744.55211053110542707) < 3e-16);
+  assert(fabs(zimags(zproda(table2, 5)) + 261744.55211053110542707) < 3e-16);
+
+  return 0;
+}
+
+static int zrowprodaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex rowProductedIn_4_3[3];
+  doubleComplex rowProductedIn_3_4[4];
+  doubleComplex rowProductedIn_6_2[2];
+  doubleComplex rowProductedIn_2_6[6];
+  doubleComplex rowProductedIn_1_12[12];
+  doubleComplex rowProductedIn_12_1[1];
+
+  printf("\n>>>> Row prod Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6787000000000000810019 - 0.5456i
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]    - 0.3964999999999999635847,
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]      0.678700000000000192024 + 0.5456i]
+  */
+  zrowproda(in, 4, 3, rowProductedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowProductedIn_4_3[%d] = %e + %ei\n", i, zreals(rowProductedIn_4_3[i]), zimags(rowProductedIn_4_3[i]));
+  }
+  assert(fabs(zreals(rowProductedIn_4_3[0]) - 0.6787000000000000810019) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_4_3[0]) + 0.5456) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_4_3[1]) + 0.3964999999999999635847) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_4_3[1]) - 0.0) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_4_3[2]) - 0.6787000000000000810019) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_4_3[2]) - 0.5456) < 3e-16);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ - 0.3190000000000000612843 - 0.9680000000000000826006i,
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]	  - 0.5380000000000000337508 + 0.0010000000000000563993i,  
+								  - 0.0010000000000000008882 + 0.5379999999999999227285i,    
+								    0.9680000000000000826006 + 0.3190000000000000612843i ]
+  */
+  zrowproda(in, 3, 4, rowProductedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowProductedIn_3_4[%d] = %e + %ei\n", i, zreals(rowProductedIn_3_4[i]), zimags(rowProductedIn_3_4[i]));
+  }
+  assert(fabs(zreals(rowProductedIn_3_4[0]) + 0.3190000000000000612843) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_3_4[0]) + 0.9680000000000000826006) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_3_4[1]) + 0.5380000000000000337508) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_3_4[1]) - 0.0010000000000000563993 ) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_3_4[2]) + 0.0010000000000000008882) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_3_4[2]) - 0.5379999999999999227285) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_3_4[3]) - 0.9680000000000000826006) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_3_4[3]) - 0.3190000000000000612843) < 3e-16);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.1725900000000000766853 + 0.5204650000000000664713i,
+    [ 0.3+0.8i 0.9+0.2i ]    - 0.1725899999999999934186 + 0.5204649999999999554490i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  zrowproda(in, 6, 2, rowProductedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowProductedIn_6_2[%d] = %e + %ei\n", i, zreals(rowProductedIn_6_2[i]), zimags(rowProductedIn_6_2[i]));
+  }
+  assert(fabs(zreals(rowProductedIn_6_2[0]) - 0.1725900000000000766853) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_6_2[0]) - 0.5204650000000000664713) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_6_2[1]) + 0.1725899999999999934186) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_6_2[1]) - 0.5204649999999999554490 ) < 3e-16);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ - 1.1000000000000000888178 + 0.11i,
+    										  - 0.6600000000000001421086 + 0.4300000000000000488498i,
+    										  - 0.2199999999999999733547 + 0.5899999999999999689138i,
+    										    0.2199999999999999733547 + 0.5899999999999999689138i,
+    										    0.6600000000000001421086 + 0.4300000000000000488498i,
+    										    1.1000000000000000888178 + 0.11i  ]
+  */
+  zrowproda(in, 2, 6, rowProductedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowProductedIn_2_6[%d] = %e + %ei\n", i, zreals(rowProductedIn_2_6[i]), zimags(rowProductedIn_2_6[i]));
+  }
+  assert(fabs(zreals(rowProductedIn_2_6[0]) + 1.1000000000000000888178) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[0]) - 0.11) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_2_6[1]) + 0.6600000000000001421086) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[1]) - 0.4300000000000000488498 ) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_2_6[2]) + 0.2199999999999999733547) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[2]) - 0.5899999999999999689138) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_2_6[3]) - 0.2199999999999999733547) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[3]) - 0.5899999999999999689138 ) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_2_6[4]) - 0.6600000000000001421086) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[4]) - 0.4300000000000000488498) < 3e-16);
+  assert(fabs(zreals(rowProductedIn_2_6[5]) - 1.1000000000000000888178) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_2_6[5]) - 0.11 ) < 3e-16);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+  */
+  zrowproda(in, 1, 12, rowProductedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowProductedIn_1_12[%d] = %e + %ei\n", i, zreals(rowProductedIn_1_12[i]), zimags(rowProductedIn_1_12[i]));
+    assert(zreals(rowProductedIn_1_12[i]) == zreals(in[i]) && zimags(rowProductedIn_1_12[i]) == zimags(in[i]));
+  }
+
+  /*
+    [ 1.1i     ] 
+    [ 0.1+i    ] 
+    [ 0.2+0.9i ] 
+    [ 0.3+0.8i ] 
+    [ 0.4+0.7i ] 
+    [ 0.5+0.6i ]  
+    [ 0.6+0.5i ] => [- 0.3006711243250001497351 + 0.0000000000000000038164i ]
+    [ 0.7+0.4i ] 
+    [ 0.8+0.3i ] 
+    [ 0.9+0.2i ] 
+    [ 1+0.1i   ] 
+    [ 1.1      ] 
+ 
+  */
+  zrowproda(in, 12, 1, rowProductedIn_12_1);
+  printf("rowProductedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowProductedIn_12_1[0]), zimags(rowProductedIn_12_1[0]));
+  assert(fabs(zreals(rowProductedIn_12_1[0]) + 0.3006711243250001497351) < 3e-16);
+  assert(fabs(zimags(rowProductedIn_12_1[0]) - 0.0000000000000000038164) < 3e-16);
+
+  return 0;
+}
+
+static int zcolumnprodaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex columnProductedIn_4_3[4];
+  doubleComplex columnProductedIn_3_4[3];
+  doubleComplex columnProductedIn_6_2[6];
+  doubleComplex columnProductedIn_2_6[2];
+  doubleComplex columnProductedIn_1_12[1];
+  doubleComplex columnProductedIn_12_1[12];
+
+  printf("\n>>>> Columnprod Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]    [ - 0.7480000000000001092460 + 0.1210000000000001074696i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ - 0.6069999999999999840128 + 0.3940000000000001278977i ] 
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]    [ - 0.3940000000000000168754 + 0.6069999999999999840128i ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]    [ - 0.1210000000000000935918 + 0.7479999999999999982236i ]
+  */
+  zcolumnproda(in, 4, 3, columnProductedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnProductedIn_4_3[%d] = %e + %ei\n", i, zreals(columnProductedIn_4_3[i]), zimags(columnProductedIn_4_3[i]));
+  }
+  assert(fabs(zreals(columnProductedIn_4_3[0]) + 0.7480000000000001092460) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_4_3[0]) - 0.1210000000000001074696) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_4_3[1]) + 0.6069999999999999840128) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_4_3[1]) - 0.394000000000000127897) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_4_3[2]) + 0.3940000000000000168754) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_4_3[2]) - 0.606999999999999984012) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_4_3[3]) + 0.1210000000000000935918) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_4_3[3]) - 0.7479999999999999982236) < 3e-16);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]    [ - 0.5753000000000000335731 - 0.3564000000000000500933i ]  
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ - 0.6564999999999998614442 + 0.0000000000000000693889i ] 
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]    [ - 0.5753000000000001445955 + 0.3564000000000001056044i ]
+  */
+  zcolumnproda(in, 3, 4, columnProductedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnProductedIn_3_4[%d] = %e + %ei\n", i, zreals(columnProductedIn_3_4[i]), zimags(columnProductedIn_3_4[i]));
+  }
+  assert(fabs(zreals(columnProductedIn_3_4[0]) + 0.5753000000000000335731) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_3_4[0]) + 0.3564000000000000500933) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_3_4[1]) + 0.6564999999999998614442) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_3_4[1]) - 0.0000000000000000693889) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_3_4[2]) + 0.5753000000000001445955) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_3_4[2]) - 0.3564000000000001056044) < 3e-16);
+
+  /*
+    [ 1.1i     0.6+0.5i ]    [ - 0.5500000000000000444089 + 0.6600000000000000310862i ]
+    [ 0.1+i    0.7+0.4i ]    [ - 0.3300000000000000155431 + 0.7399999999999999911182i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ - 0.1099999999999999866773 + 0.7800000000000000266454i ]
+    [ 0.3+0.8i 0.9+0.2i ]    [   0.1099999999999999866773 + 0.7800000000000000266454i ]
+    [ 0.4+0.7i 1+0.1i   ]    [   0.3300000000000000155431 + 0.7399999999999999911182i ]
+    [ 0.5+0.6i 1.1      ]    [   0.5500000000000000444089 + 0.6600000000000000310862i ] 
+  */
+  zcolumnproda(in, 6, 2, columnProductedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnProductedIn_6_2[%d] = %e + %ei\n", i, zreals(columnProductedIn_6_2[i]), zimags(columnProductedIn_6_2[i]));
+  }
+  assert(fabs(zreals(columnProductedIn_6_2[0]) + 0.5500000000000000444089) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[0]) - 0.6600000000000000310862) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_6_2[1]) + 0.3300000000000000155431) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[1]) - 0.7399999999999999911182) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_6_2[2]) + 0.1099999999999999866773) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[2]) - 0.7800000000000000266454) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_6_2[3]) - 0.1099999999999999866773) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[3]) - 0.7800000000000000266454) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_6_2[4]) - 0.3300000000000000155431) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[4]) - 0.7399999999999999911182) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_6_2[5]) - 0.5500000000000000444089) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_6_2[5]) - 0.6600000000000000310862) < 3e-16);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]    [   0.2212649999999999894662 - 0.5017100000000001003286i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ - 0.2212649999999999894662 - 0.5017100000000001003286i ] 
+  */
+  zcolumnproda(in, 2, 6, columnProductedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnProductedIn_2_6[%d] = %e + %ei\n", i, zreals(columnProductedIn_2_6[i]), zimags(columnProductedIn_2_6[i]));
+  }
+  assert(fabs(zreals(columnProductedIn_2_6[0]) - 0.2212649999999999894662) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_2_6[0]) + 0.5017100000000001003286) < 3e-16);
+  assert(fabs(zreals(columnProductedIn_2_6[1]) + 0.2212649999999999894662) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_2_6[1]) + 0.5017100000000001003286) < 3e-16);
+
+  /*
+  [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [  - 0.3006711243250001497351 + 0.0000000000000000038164i ]
+  */
+  zcolumnproda(in, 1, 12, columnProductedIn_1_12);
+  printf("columnProductedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnProductedIn_1_12[0]), zimags(columnProductedIn_1_12[0]));
+  assert(fabs(zreals(columnProductedIn_1_12[0]) + 0.3006711243250001497351) < 3e-16);
+  assert(fabs(zimags(columnProductedIn_1_12[0]) - 0.0000000000000000038164) < 3e-16);
+
+
+  /*
+    [ 1.1i     ] =>     [ 1.1i     ]
+    [ 0.1+i    ] =>     [ 0.1+i    ]
+    [ 0.2+0.9i ] =>     [ 0.2+0.9i ]
+    [ 0.3+0.8i ] =>     [ 0.3+0.8i ]
+    [ 0.4+0.7i ] =>     [ 0.4+0.7i ]
+    [ 0.5+0.6i ] =>     [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 0.6+0.5i ]
+    [ 0.7+0.4i ] =>     [ 0.7+0.4i ]
+    [ 0.8+0.3i ] =>     [ 0.8+0.3i ]
+    [ 0.9+0.2i ] =>     [ 0.9+0.2i ]
+    [ 1+0.1i   ] =>     [ 1+0.1i   ]
+    [ 1.1      ] =>     [ 1.1      ]
+  */
+  zcolumnproda(in, 12, 1, columnProductedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnProductedIn_12_1[%d] = %e + %ei\n", i, zreals(columnProductedIn_12_1[i]), zimags(columnProductedIn_12_1[i]));
+   assert(zreals(columnProductedIn_12_1[i]) == zreals(in[i]) && zimags(columnProductedIn_12_1[i]) == zimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testprod(void) {
+
+  dprodsTest();
+  dprodaTest();
+  drowprodaTest();
+  dcolumnprodaTest();
+  zprodsTest();
+  zprodaTest();
+  zrowprodaTest();
+  zcolumnprodaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testprod() == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/prod/testFloatProd.c b/src/c/statisticsFunctions/prod/testFloatProd.c
new file mode 100644
index 0000000..b5fe20c
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/testFloatProd.c
@@ -0,0 +1,527 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "prod.h"
+
+ #define LOCAL_DEBUG
+
+static int sprodsTest(void) {
+  float value1 = 3.0f;
+  float value2 = 1.123456789f;
+
+  printf("\n>>>> Prod Float Scalar Test\n");
+  assert(sprods(value1) == 3.0f);
+  assert(sprods(value2) == 1.123456789f);
+
+  return 0;
+}
+
+static int sprodaTest(void) {
+  float table1[3] = {3.0f, 3.0f, 3.0f};
+  float table2[5] = {9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f};
+
+  printf("\n>>>> Prod Float Array Test\n");
+  printf("%f\n", sproda(table1, 3));
+  assert(sproda(table1, 3) == 27.0f);
+  assert((sproda(table2, 5) - (9.186784f * 9.186784f * 9.186784f * 9.186784f * 9.186784f)) / sproda(table2, 5) < 1e-6);
+  return 0;
+}
+
+static int scolumnprodaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float columnProductedTable1_3_3[3] = {0};
+  float columnProductedTable1_1_9[1] = {0};
+  float columnProductedTable1_9_1[9] = {0};
+  float columnProductedTable2_2_5[2] = {0};
+  float columnProductedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Prod Float Array Test\n");
+  /*
+    [ 1 2 3 ]    [ 1*2*3=6   ]
+    [ 4 5 6 ] => [ 4*5*6=120 ]
+    [ 7 8 9 ]    [ 7*8*9=504 ]
+  */
+  scolumnproda(table1, 3, 3,columnProductedTable1_3_3);
+  assert(columnProductedTable1_3_3[0] == 6.0f);
+  assert(columnProductedTable1_3_3[1] == 120.0f);
+  assert(columnProductedTable1_3_3[2] == 504.0f);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 362880 ]
+  */
+  scolumnproda(table1, 1, 9,columnProductedTable1_1_9);
+  assert(columnProductedTable1_1_9[0] == 362880.0f);
+
+  /*
+    [ 1 ]     [ 1 ]
+    [ 2 ]     [ 2 ]
+    [ 3 ]     [ 3 ]
+    [ 4 ]     [ 4 ]
+    [ 5 ] =>  [ 5 ]
+    [ 6 ]     [ 6 ]
+    [ 7 ]     [ 7 ]
+    [ 8 ]     [ 8 ]
+    [ 9 ]     [ 9 ]
+  */
+  scolumnproda(table1, 9, 1,columnProductedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnProductedTable1_9_1[%d] = %e\n", i, columnProductedTable1_9_1[i]);
+    assert(columnProductedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]    [ 945  ]
+    [ 2 4 6 8 10 ] => [ 3840 ]
+  */
+  scolumnproda(table2, 2, 5,columnProductedTable2_2_5);
+  assert(columnProductedTable2_2_5[0] == 945.0f);
+  assert(columnProductedTable2_2_5[1] == 3840.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnProductedTable2_2_5[%d] = %e\n", i, columnProductedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]    [ 6  ]
+    [ 2  7 ] => [ 14 ]
+    [ 3  8 ]    [ 24 ]
+    [ 4  9 ]    [ 36 ]
+    [ 5 10 ]    [ 50 ]
+  */
+  scolumnproda(table2, 5, 2,columnProductedTable2_5_2);
+  assert(columnProductedTable2_5_2[0] == 6.0f);
+  assert(columnProductedTable2_5_2[1] == 14.0f);
+  assert(columnProductedTable2_5_2[2] == 24.0f);
+  assert(columnProductedTable2_5_2[3] == 36.0f);
+  assert(columnProductedTable2_5_2[4] == 50.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnProductedTable2_5_2[%d] = %e\n", i, columnProductedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int srowprodaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float rowProductedTable1_3_3[3] = {0};
+  float rowProductedTable1_1_9[9] = {0};
+  float rowProductedTable1_9_1[1] = {0};
+  float rowProductedTable2_2_5[5] = {0};
+  float rowProductedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Prod Float Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 28 80 162 ]
+    [ 7 8 9 ]
+  */
+  srowproda(table1, 3, 3,rowProductedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowProductedTable1_3_3[%d] = %e\n", i, rowProductedTable1_3_3[i]);
+  }
+  assert(rowProductedTable1_3_3[0] == 28.0f);
+  assert(rowProductedTable1_3_3[1] == 80.0f);
+  assert(rowProductedTable1_3_3[2] == 162.0f);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 1 2 3 4 5 6 7 8 9 ]
+  */
+  srowproda(table1, 1, 9,rowProductedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowProductedTable1_1_9[%d] = %e\n", i, rowProductedTable1_1_9[i]);
+    assert(rowProductedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 362880 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  srowproda(table1, 9, 1,rowProductedTable1_9_1);
+  assert(rowProductedTable1_9_1[0] == 362880.0f);
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 2 12 30 56 90 ]
+  */
+  srowproda(table2, 2, 5,rowProductedTable2_2_5);
+  assert(rowProductedTable2_2_5[0] == 2.0f);
+  assert(rowProductedTable2_2_5[1] == 12.0f);
+  assert(rowProductedTable2_2_5[2] == 30.0f);
+  assert(rowProductedTable2_2_5[3] == 56.0f);
+  assert(rowProductedTable2_2_5[4] == 90.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowProductedTable2_2_5[%d] = %e\n", i, rowProductedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 120 30240 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  srowproda(table2, 5, 2,rowProductedTable2_5_2);
+  assert(rowProductedTable2_5_2[0] == 120.0f);
+  assert(rowProductedTable2_5_2[1] == 30240.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowProductedTable2_5_2[%d] = %e\n", i, rowProductedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int cprodsTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f);
+
+  printf("\n>>>> Prod Float Complex Scalar Test\n");
+  assert(creals(cprods(value1)) == 3.0f);
+  assert(cimags(cprods(value1)) == 3.0f);
+  assert(creals(cprods(value2)) == 1.123456789f);
+  assert(cimags(cprods(value2)) == 1.123456789f);
+  return 0;
+}
+
+static int cprodaTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex table1[3];
+  floatComplex value2 = FloatComplex(9.186784563f,9.186784563f);
+  floatComplex table2[5];
+
+  printf("\n>>>> Prod Float Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");  
+  printf("%e\n", creals(cproda(table1, 3)));
+  printf("%e\n", cimags(cproda(table1, 3)));
+  printf("%1.20f\n", creals(cproda(table2, 5)));
+  printf("%1.20f\n", cimags(cproda(table2, 5)));
+  printf("%1.20f\n", creals(cproda(table2, 5)) + 261744.55211053110542707f);
+  printf("--------\n");
+#endif
+
+  assert(creals(cproda(table1, 3)) == -54.0f);
+  assert(cimags(cproda(table1, 3)) == 54.0f);
+  assert(fabs(creals(cproda(table2, 5)) + 261744.55211053110542707f)/creals(cproda(table2, 5)) < 1e-06);
+  assert(fabs(cimags(cproda(table2, 5)) + 261744.55211053110542707f)/cimags(cproda(table2, 5)) < 1e-06);
+
+  return 0;
+}
+
+static int crowprodaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex rowProductedIn_4_3[3];
+  floatComplex rowProductedIn_3_4[4];
+  floatComplex rowProductedIn_6_2[2];
+  floatComplex rowProductedIn_2_6[6];
+  floatComplex rowProductedIn_1_12[12];
+  floatComplex rowProductedIn_12_1[1];
+
+  printf("\n>>>> Row Prod Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6787000000000000810019 - 0.5456i
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]    - 0.3964999999999999635847,
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]      0.678700000000000192024 + 0.5456i]
+  */
+  crowproda(in, 4, 3, rowProductedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowProductedIn_4_3[%d] = %e + %ei\n", i, creals(rowProductedIn_4_3[i]), cimags(rowProductedIn_4_3[i]));
+  }
+  assert(fabs(creals(rowProductedIn_4_3[0]) - 0.6787000000000000810019f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_4_3[0]) + 0.5456f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_4_3[1]) + 0.3964999999999999635847f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_4_3[1]) - 0.0f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_4_3[2]) - 0.6787000000000000810019f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_4_3[2]) - 0.5456f) < 1e-06);
+  
+  
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ - 0.3190000000000000612843 - 0.9680000000000000826006i,
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]	  - 0.5380000000000000337508 + 0.0010000000000000563993i,  
+								  - 0.0010000000000000008882 + 0.5379999999999999227285i,    
+								    0.9680000000000000826006 + 0.3190000000000000612843i ]
+  */
+  crowproda(in, 3, 4, rowProductedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowProductedIn_3_4[%d] = %e + %ei\n", i, creals(rowProductedIn_3_4[i]), cimags(rowProductedIn_3_4[i]));
+  }
+  assert(fabs(creals(rowProductedIn_3_4[0]) + 0.3190000000000000612843f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_3_4[0]) + 0.9680000000000000826006f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_3_4[1]) + 0.5380000000000000337508f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_3_4[1]) - 0.0010000000000000563993 ) < 1e-06);
+  assert(fabs(creals(rowProductedIn_3_4[2]) + 0.0010000000000000008882f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_3_4[2]) - 0.5379999999999999227285f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_3_4[3]) - 0.9680000000000000826006f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_3_4[3]) - 0.3190000000000000612843f) < 1e-06);
+  
+  
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.1725900000000000766853 + 0.5204650000000000664713i,
+    [ 0.3+0.8i 0.9+0.2i ]    - 0.1725899999999999934186 + 0.5204649999999999554490i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  crowproda(in, 6, 2, rowProductedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowProductedIn_6_2[%d] = %e + %ei\n", i, creals(rowProductedIn_6_2[i]), cimags(rowProductedIn_6_2[i]));
+  }
+  
+  assert(fabs(creals(rowProductedIn_6_2[0]) - 0.1725900000000000766853f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_6_2[0]) - 0.5204650000000000664713f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_6_2[1]) + 0.1725899999999999934186f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_6_2[1]) - 0.5204649999999999554490 ) < 1e-06);
+
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ - 1.1000000000000000888178 + 0.11i,
+    										  - 0.6600000000000001421086 + 0.4300000000000000488498i,
+    										  - 0.2199999999999999733547 + 0.5899999999999999689138i,
+    										    0.2199999999999999733547 + 0.5899999999999999689138i,
+    										    0.6600000000000001421086 + 0.4300000000000000488498i,
+    										    1.1000000000000000888178 + 0.11i  ]
+ 
+  */
+  crowproda(in, 2, 6, rowProductedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowProductedIn_2_6[%d] = %e + %ei\n", i, creals(rowProductedIn_2_6[i]), cimags(rowProductedIn_2_6[i]));
+  }
+  
+  assert(fabs(creals(rowProductedIn_2_6[0]) + 1.1000000000000000888178f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[0]) - 0.11f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_2_6[1]) + 0.6600000000000001421086f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[1]) - 0.4300000000000000488498 ) < 1e-06);
+  assert(fabs(creals(rowProductedIn_2_6[2]) + 0.2199999999999999733547f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[2]) - 0.5899999999999999689138f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_2_6[3]) - 0.2199999999999999733547f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[3]) - 0.5899999999999999689138 ) < 1e-06);
+  assert(fabs(creals(rowProductedIn_2_6[4]) - 0.6600000000000001421086f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[4]) - 0.4300000000000000488498f) < 1e-06);
+  assert(fabs(creals(rowProductedIn_2_6[5]) - 1.1000000000000000888178f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_2_6[5]) - 0.11 ) < 1e-06);
+
+
+  /*
+   [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]   
+    =>  [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]   
+  */
+  crowproda(in, 1, 12, rowProductedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowProductedIn_1_12[%d] = %e + %ei\n", i, creals(rowProductedIn_1_12[i]), cimags(rowProductedIn_1_12[i]));
+    assert(creals(rowProductedIn_1_12[i]) == creals(in[i]) && cimags(rowProductedIn_1_12[i]) == cimags(in[i]));
+  }
+  
+  
+  /*
+    [ 1.1i     ] 
+    [ 0.1+i    ] 
+    [ 0.2+0.9i ] 
+    [ 0.3+0.8i ] 
+    [ 0.4+0.7i ] 
+    [ 0.5+0.6i ]  
+    [ 0.6+0.5i ] => [- 0.3006711243250001497351 + 0.0000000000000000038164i ]
+    [ 0.7+0.4i ] 
+    [ 0.8+0.3i ] 
+    [ 0.9+0.2i ] 
+    [ 1+0.1i   ] 
+    [ 1.1      ] 
+ 
+ 
+  */
+  crowproda(in, 12, 1, rowProductedIn_12_1);
+  printf("rowProductedIn_12_1[%d] = %e + %ei\n", 0, creals(rowProductedIn_12_1[0]), cimags(rowProductedIn_12_1[0]));
+  assert(fabs(creals(rowProductedIn_12_1[0]) + 0.3006711243250001497351f) < 1e-06);
+  assert(fabs(cimags(rowProductedIn_12_1[0]) - 0.0000000000000000038164f) < 1e-06);
+
+  return 0;
+}
+
+static int ccolumnprodaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex columnProductedIn_4_3[4];
+  floatComplex columnProductedIn_3_4[3];
+  floatComplex columnProductedIn_6_2[6];
+  floatComplex columnProductedIn_2_6[2];
+  floatComplex columnProductedIn_1_12[1];
+  floatComplex columnProductedIn_12_1[12];
+
+  printf("\n>>>> ColumnProd Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]    [ - 0.7480000000000001092460 + 0.1210000000000001074696i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ - 0.6069999999999999840128 + 0.3940000000000001278977i ] 
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]    [ - 0.3940000000000000168754 + 0.6069999999999999840128i ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]    [ - 0.1210000000000000935918 + 0.7479999999999999982236i ]
+  */
+  ccolumnproda(in, 4, 3, columnProductedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnProductedIn_4_3[%d] = %e + %ei\n", i, creals(columnProductedIn_4_3[i]), cimags(columnProductedIn_4_3[i]));
+  }
+  assert(fabs(creals(columnProductedIn_4_3[0]) + 0.7480000000000001092460f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_4_3[0]) - 0.1210000000000001074696f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_4_3[1]) + 0.6069999999999999840128f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_4_3[1]) - 0.394000000000000127897f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_4_3[2]) + 0.3940000000000000168754f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_4_3[2]) - 0.606999999999999984012f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_4_3[3]) + 0.1210000000000000935918f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_4_3[3]) - 0.7479999999999999982236f) < 1e-06);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]    [ - 0.5753000000000000335731 - 0.3564000000000000500933i ]  
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ - 0.6564999999999998614442 + 0.0000000000000000693889i ] 
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]    [ - 0.5753000000000001445955 + 0.3564000000000001056044i ]
+  */
+  ccolumnproda(in, 3, 4, columnProductedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnProductedIn_3_4[%d] = %e + %ei\n", i, creals(columnProductedIn_3_4[i]), cimags(columnProductedIn_3_4[i]));
+  }
+  assert(fabs(creals(columnProductedIn_3_4[0]) + 0.5753000000000000335731f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_3_4[0]) + 0.3564000000000000500933f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_3_4[1]) + 0.6564999999999998614442f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_3_4[1]) - 0.0000000000000000693889f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_3_4[2]) + 0.5753000000000001445955f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_3_4[2]) - 0.3564000000000001056044f) < 1e-06);
+
+  /*
+    [ 1.1i     0.6+0.5i ]    [ - 0.5500000000000000444089 + 0.6600000000000000310862i ]
+    [ 0.1+i    0.7+0.4i ]    [ - 0.3300000000000000155431 + 0.7399999999999999911182i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ - 0.1099999999999999866773 + 0.7800000000000000266454i ]
+    [ 0.3+0.8i 0.9+0.2i ]    [   0.1099999999999999866773 + 0.7800000000000000266454i ]
+    [ 0.4+0.7i 1+0.1i   ]    [   0.3300000000000000155431 + 0.7399999999999999911182i ]
+    [ 0.5+0.6i 1.1      ]    [   0.5500000000000000444089 + 0.6600000000000000310862i ] 
+  */
+  ccolumnproda(in, 6, 2, columnProductedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnProductedIn_6_2[%d] = %e + %ei\n", i, creals(columnProductedIn_6_2[i]), cimags(columnProductedIn_6_2[i]));
+  }
+  assert(fabs(creals(columnProductedIn_6_2[0]) + 0.5500000000000000444089f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[0]) - 0.6600000000000000310862f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_6_2[1]) + 0.3300000000000000155431f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[1]) - 0.7399999999999999911182f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_6_2[2]) + 0.1099999999999999866773f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[2]) - 0.7800000000000000266454f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_6_2[3]) - 0.1099999999999999866773f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[3]) - 0.7800000000000000266454f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_6_2[4]) - 0.3300000000000000155431f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[4]) - 0.7399999999999999911182f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_6_2[5]) - 0.5500000000000000444089f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_6_2[5]) - 0.6600000000000000310862f) < 1e-06);
+  
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]    [   0.2212649999999999894662 - 0.5017100000000001003286i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ - 0.2212649999999999894662 - 0.5017100000000001003286i ] 
+  */
+  ccolumnproda(in, 2, 6, columnProductedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnProductedIn_2_6[%d] = %e + %ei\n", i, creals(columnProductedIn_2_6[i]), cimags(columnProductedIn_2_6[i]));
+  }
+  assert(fabs(creals(columnProductedIn_2_6[0]) - 0.2212649999999999894662f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_2_6[0]) + 0.5017100000000001003286f) < 1e-06);
+  assert(fabs(creals(columnProductedIn_2_6[1]) + 0.2212649999999999894662f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_2_6[1]) + 0.5017100000000001003286f) < 1e-06);
+
+  /* 
+  [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [  - 0.3006711243250001497351 + 0.0000000000000000038164i ]
+
+  */
+  ccolumnproda(in, 1, 12, columnProductedIn_1_12);
+  printf("columnProductedIn_1_12[%d] = %e + %ei\n", 0, creals(columnProductedIn_1_12[0]), cimags(columnProductedIn_1_12[0]));
+  assert(fabs(creals(columnProductedIn_1_12[0]) + 0.3006711243250001497351f) < 1e-06);
+  assert(fabs(cimags(columnProductedIn_1_12[0]) - 0.0000000000000000038164f) < 1e-06);
+
+
+  /*
+    [ 1.1i     ] =>     [ 1.1i     ]
+    [ 0.1+i    ] =>     [ 0.1+i    ]
+    [ 0.2+0.9i ] =>     [ 0.2+0.9i ]
+    [ 0.3+0.8i ] =>     [ 0.3+0.8i ]
+    [ 0.4+0.7i ] =>     [ 0.4+0.7i ]
+    [ 0.5+0.6i ] =>     [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 0.6+0.5i ]
+    [ 0.7+0.4i ] =>     [ 0.7+0.4i ]
+    [ 0.8+0.3i ] =>     [ 0.8+0.3i ]
+    [ 0.9+0.2i ] =>     [ 0.9+0.2i ]
+    [ 1+0.1i   ] =>     [ 1+0.1i   ]
+    [ 1.1      ] =>     [ 1.1      ]
+  */
+  ccolumnproda(in, 12, 1, columnProductedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnProductedIn_12_1[%d] = %e + %ei\n", i, creals(columnProductedIn_12_1[i]), cimags(columnProductedIn_12_1[i]));
+   assert(creals(columnProductedIn_12_1[i]) == creals(in[i]) && cimags(columnProductedIn_12_1[i]) == cimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testProd(void) {
+
+  sprodsTest();
+  sprodaTest();
+  srowprodaTest();
+  scolumnprodaTest();
+  cprodsTest();
+  cprodaTest();
+  crowprodaTest();
+  ccolumnprodaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testProd() == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/prod/test_DoubleProd/testDoubleProd.vcxproj b/src/c/statisticsFunctions/prod/test_DoubleProd/testDoubleProd.vcxproj
new file mode 100644
index 0000000..0c31766
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/test_DoubleProd/testDoubleProd.vcxproj
@@ -0,0 +1,178 @@
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new file mode 100644
index 0000000..82f3501
--- /dev/null
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diff --git a/src/c/statisticsFunctions/prod/test_FloatProd/testFloatProd.vcxproj b/src/c/statisticsFunctions/prod/test_FloatProd/testFloatProd.vcxproj
new file mode 100644
index 0000000..4faff60
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/test_FloatProd/testFloatProd.vcxproj
@@ -0,0 +1,178 @@
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diff --git a/src/c/statisticsFunctions/prod/test_FloatProd/testFloatProd.vcxproj.filters b/src/c/statisticsFunctions/prod/test_FloatProd/testFloatProd.vcxproj.filters
new file mode 100644
index 0000000..f42beb9
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diff --git a/src/c/statisticsFunctions/prod/zcolumnproda.c b/src/c/statisticsFunctions/prod/zcolumnproda.c
new file mode 100644
index 0000000..277afd5
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/zcolumnproda.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+#include "multiplication.h"
+
+void zcolumnproda(doubleComplex *in, int lines, int columns, doubleComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = zmuls(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/prod/zproda.c b/src/c/statisticsFunctions/prod/zproda.c
new file mode 100644
index 0000000..a017d97
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/zproda.c
@@ -0,0 +1,30 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "prod.h"
+#include "multiplication.h"
+
+
+doubleComplex zproda(doubleComplex *in, int size) {
+  doubleComplex accumulate = in[0];
+  int i = 0;
+
+  
+  for (i = 1; i < size; ++i)
+    {
+      accumulate = zmuls(accumulate,in[i]);
+    }
+  return accumulate;
+
+}
+
+
diff --git a/src/c/statisticsFunctions/prod/zrowproda.c b/src/c/statisticsFunctions/prod/zrowproda.c
new file mode 100644
index 0000000..84a1690
--- /dev/null
+++ b/src/c/statisticsFunctions/prod/zrowproda.c
@@ -0,0 +1,37 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Arnaud TORSET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+/* This is a copy/paste with adaptation from sum */
+
+#include "prod.h"
+#include "multiplication.h"
+
+void zrowproda(doubleComplex *in, int lines, int columns, doubleComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = zmuls( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
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new file mode 100644
index 0000000..48a8b0c
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+    <ClCompile Include="meanf\zmeanfa.c">

+      <Filter>Source Files\meanf</Filter>

+    </ClCompile>

+    <ClCompile Include="meanf\zmeanfdz.c">

+      <Filter>Source Files\meanf</Filter>

+    </ClCompile>

+    <ClCompile Include="meanf\zmeanfzd.c">

+      <Filter>Source Files\meanf</Filter>

+    </ClCompile>

+    <ClCompile Include="meanf\zrowmeanfa.c">

+      <Filter>Source Files\meanf</Filter>

+    </ClCompile>

+  </ItemGroup>

+  <ItemGroup>

+    <None Include="max\Makefile.am">

+      <Filter>Source Files\max</Filter>

+    </None>

+    <None Include="mean\Makefile.am">

+      <Filter>Source Files\mean</Filter>

+    </None>

+    <None Include="min\Makefile.am">

+      <Filter>Source Files\min</Filter>

+    </None>

+    <None Include="prod\Makefile.am">

+      <Filter>Source Files\prod</Filter>

+    </None>

+    <None Include="sum\Makefile.am">

+      <Filter>Source Files\sum</Filter>

+    </None>

+    <None Include="variance\Makefile.am">

+      <Filter>Source Files\variance</Filter>

+    </None>

+  </ItemGroup>

+  <ItemGroup>

+    <ClInclude Include="includes\dynlib_statisticsfunctions.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\mean.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\prod.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\statMax.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\statMin.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\sum.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+    <ClInclude Include="includes\variance.h">

+      <Filter>Header Files</Filter>

+    </ClInclude>

+  </ItemGroup>

+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/stdevf/Makefile.am b/src/c/statisticsFunctions/stdevf/Makefile.am
new file mode 100644
index 0000000..cebe3c9
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/Makefile.am
@@ -0,0 +1,88 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libStdevf_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/auxiliaryFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libStdevf.la
+
+libStdevf_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	sstdevfa.c \
+		srowstdevfa.c \
+		scolumnstdevfa.c \
+		dstdevfa.c \
+		drowstdevfa.c \
+		dcolumnstdevfa.c \
+		cstdevfa.c \
+		crowstdevfa.c \
+		ccolumnstdevfa.c \
+		zstdevfa.c \
+		zrowstdevfa.c \
+		zcolumnstdevfa.c
+
+HEAD	=	../includes/stdevf.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/auxiliaryFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/c/statisticsFunctions/stdevf/libStdevf.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatStdevf testDoubleStdevf
+
+TESTS		=	testFloatStdevf testDoubleStdevf
+
+#
+# -*- Stdevf Tests -*-
+#
+testFloatStdevf_SOURCES = testFloatStdevf.c
+testFloatStdevf_CFLAGS =	$(check_INCLUDES)
+testFloatStdevf_LDADD =	$(check_LDADD)
+
+testDoubleStdevf_SOURCES =testDoubleStdevf.c
+testDoubleStdevf_CFLAGS =	$(check_INCLUDES)
+testDoubleStdevf_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/stdevf/Makefile.in b/src/c/statisticsFunctions/stdevf/Makefile.in
new file mode 100644
index 0000000..c71bfa7
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/Makefile.in
@@ -0,0 +1,875 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
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+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
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+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatStdevf$(EXEEXT) testDoubleStdevf$(EXEEXT)
+TESTS = testFloatStdevf$(EXEEXT) testDoubleStdevf$(EXEEXT)
+subdir = src/c/statisticsFunctions/stdevf
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
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+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
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+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
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+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
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+	libStdevf_la-drowstdevfa.lo libStdevf_la-dcolumnstdevfa.lo \
+	libStdevf_la-cstdevfa.lo libStdevf_la-crowstdevfa.lo \
+	libStdevf_la-ccolumnstdevfa.lo libStdevf_la-zstdevfa.lo \
+	libStdevf_la-zrowstdevfa.lo libStdevf_la-zcolumnstdevfa.lo
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+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testDoubleStdevf_OBJECTS =  \
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+	$(top_builddir)/src/fortran/lapack/libscilapack.la \
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+top_srcdir = @top_srcdir@
+libStdevf_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/auxiliaryFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libStdevf.la
+libStdevf_la_SOURCES = $(HEAD) $(SRC)
+SRC = sstdevfa.c \
+		srowstdevfa.c \
+		scolumnstdevfa.c \
+		dstdevfa.c \
+		drowstdevfa.c \
+		dcolumnstdevfa.c \
+		cstdevfa.c \
+		crowstdevfa.c \
+		ccolumnstdevfa.c \
+		zstdevfa.c \
+		zrowstdevfa.c \
+		zcolumnstdevfa.c
+
+HEAD = ../includes/stdevf.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/auxiliaryFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/c/statisticsFunctions/stdevf/libStdevf.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			@LIBMATH@
+
+
+#
+# -*- Stdevf Tests -*-
+#
+testFloatStdevf_SOURCES = testFloatStdevf.c
+testFloatStdevf_CFLAGS = $(check_INCLUDES)
+testFloatStdevf_LDADD = $(check_LDADD)
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+	    || cp -p $$d/$$file "$(distdir)/$$file" \
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diff --git a/src/c/statisticsFunctions/stdevf/ccolumnstdevfa.c b/src/c/statisticsFunctions/stdevf/ccolumnstdevfa.c
new file mode 100644
index 0000000..14d3030
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/ccolumnstdevfa.c
@@ -0,0 +1,58 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "abs.h"
+
+void ccolumnstdevfa(floatComplex *in1, int lines, int columns, floatComplex*in2, floatComplex* out){
+  int i = 0;
+  int j = 0;
+  floatComplex temp = FloatComplex(0.0f,0.0f);
+  floatComplex accumulate = FloatComplex(0.0f,0.0f);
+  floatComplex accumulateFre = FloatComplex(0.0f,0.0f);
+    
+  ccolumnmeanfa(in1, lines, columns, in2, out );
+
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = FloatComplex(0.0f,0.0f);
+      accumulateFre = FloatComplex(0.0f,0.0f);
+      temp = FloatComplex(0.0f,0.0f);
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+
+         temp = cpows (  cdiffs (in1[lines*i + j] ,out[j] ) ,FloatComplex (2.0f, 0.0f ) );
+         temp = cmuls( in2[lines*i + j] , temp);
+
+         accumulate = cadds( temp , accumulate);
+         accumulateFre =  cadds (in2[lines*i + j] ,accumulateFre );
+
+        } 
+
+      if (lines <= 1)
+        {
+          out[j] = cmuls (FloatComplex(0.0f,0.0f) , accumulate ) ; 
+        }
+      else
+        {
+	  if( sabss (creals(accumulate)) <= 3e-6 ) accumulate = FloatComplex(sabss(creals(accumulate)) ,cimags(accumulate));
+	  if( sabss (cimags(accumulate)) <= 3e-6 ) accumulate = FloatComplex(creals(accumulate) ,sabss(cimags(accumulate)));
+          accumulate =   crdivs (accumulate , cdiffs (accumulateFre ,FloatComplex(1.0f,0.0f))   );
+          out[j] =csqrts(accumulate);
+        }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/crowstdevfa.c b/src/c/statisticsFunctions/stdevf/crowstdevfa.c
new file mode 100644
index 0000000..38d8cb2
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/crowstdevfa.c
@@ -0,0 +1,59 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+#include "abs.h"
+
+
+void crowstdevfa(floatComplex *in1, int lines, int columns, floatComplex*in2, floatComplex* out){
+  int i = 0;
+  int j = 0;
+  floatComplex temp = FloatComplex(0.0f,0.0f);
+  floatComplex accumulate = FloatComplex(0.0f,0.0f);
+  floatComplex accumulateFre = FloatComplex(0.0f,0.0f);
+    
+  crowmeanfa(in1, lines, columns, in2, out );
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+    {
+      accumulate = FloatComplex(0.0f,0.0f);
+      accumulateFre =FloatComplex(0.0f,0.0f);
+      temp = FloatComplex(0.0f,0.0f);
+
+      for ( i = 0 ; i < lines; ++i )
+        {
+
+         temp = cpows (  cdiffs (in1[lines*j + i] ,out[j] ) ,FloatComplex (2.0f, 0.0f ) );
+         temp = cmuls( in2[lines*j + i] , temp);
+
+         accumulate = cadds( temp , accumulate);
+         accumulateFre =  cadds (in2[lines*j + i] ,accumulateFre );
+
+        } 
+
+      if (lines <= 1)
+        {
+          out[j] = cmuls (FloatComplex(0.0f,0.0f) , accumulate ) ; 
+        }
+      else
+        {
+	  if( sabss (creals(accumulate)) <= 3e-6 ) accumulate = FloatComplex(sabss(creals(accumulate)) ,cimags(accumulate));
+	  if( sabss (cimags(accumulate)) <= 3e-6 ) accumulate = FloatComplex(creals(accumulate) ,sabss(cimags(accumulate)));
+          accumulate =   crdivs (accumulate , cdiffs (accumulateFre ,FloatComplex(1.0f,0.0f))   );
+          out[j] =csqrts(accumulate);
+        }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/cstdevfa.c b/src/c/statisticsFunctions/stdevf/cstdevfa.c
new file mode 100644
index 0000000..5b1631f
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/cstdevfa.c
@@ -0,0 +1,43 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+floatComplex cstdevfa(floatComplex *in1, int lines, int columns, floatComplex* in2)
+{
+  int i = 0 ;
+
+  floatComplex temp = FloatComplex(0.0f,0.0f);
+  floatComplex accumulate = FloatComplex(0.0f,0.0f);
+  floatComplex accumulateFre = FloatComplex(0.0f,0.0f);
+  floatComplex meanf = cmeanfa (in1 , lines*columns , in2);
+/*equivalent to  (in1 - meanf(x , in2 )).^2 .*in2   */
+  for(i = 0 ; i < lines*columns ; ++i)
+    {
+     temp = cpows (  cdiffs (in1[i] , meanf ) ,FloatComplex (2.0f, 0.0f ) );
+     temp = cmuls( in2[i] , temp);
+
+     accumulate = cadds( temp , accumulate);
+     accumulateFre =  cadds (in2[i] ,accumulateFre );
+
+     } 
+
+     if (lines <= 1)
+      {
+        return  cmuls (FloatComplex(0.0f,0.0f) , accumulate ) ; 
+      }
+     else
+      {
+        accumulate =   crdivs (accumulate , cdiffs (accumulateFre ,FloatComplex(1.0f,0.0f))   );
+        return csqrts(accumulate);
+      }
+}
diff --git a/src/c/statisticsFunctions/stdevf/cstdevfcs.c b/src/c/statisticsFunctions/stdevf/cstdevfcs.c
new file mode 100644
index 0000000..a3b7239
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/cstdevfcs.c
@@ -0,0 +1,41 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+floatComplex cstdevfcs(floatComplex *in1, int lines, int columns, float* in2)
+{
+  int i = 0 ;
+  floatComplex temp = FloatComplex(0.0f,0.0f);
+  floatComplex accumulate = FloatComplex(0.0f,0.0f);
+  float accumulateFre = 0.0f ;
+  floatComplex meanf = cmeanfcs (in1 , lines ,columns , in2);
+/*equivalent to  (in1 - meanf(x , in2 )).^2 .*in2   */
+  for(i = 0 ; i < lines*columns ; ++i)
+    {
+     temp = cpows (  cdiffs (in1[i] , meanf ) ,FloatComplex (2.0f, 0.0f ) );
+     temp = cmuls( FloatComplex (in2[i],0.0f) , temp);
+
+     accumulate = cadds( temp , accumulate);
+     accumulateFre +=  in2[i];
+    }
+
+    if (lines <= 1)
+      {
+        return cmuls (FloatComplex(0.0f,0.0f) , accumulate ) ; 
+      }
+    else
+      {
+        accumulate = FloatComplex(  creals(accumulate ) / (accumulateFre - 1) , cimags(accumulate)  / (accumulateFre - 1));
+        return csqrts(accumulate);
+      }
+}
diff --git a/src/c/statisticsFunctions/stdevf/cstdevfsc.c b/src/c/statisticsFunctions/stdevf/cstdevfsc.c
new file mode 100644
index 0000000..01a6e07
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/cstdevfsc.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "stdevf.h" 
+#include "zeros.h"
+
+floatComplex cstdevfsc(float *in1, int lines, int columns, floatComplex* in2)
+{
+    float* ZEROS = (float *) malloc((unsigned int)(lines*columns*sizeof(float)));
+    szerosa(ZEROS,lines,columns);
+    
+    return cstdevfa(FloatComplexMatrix(in1,ZEROS,lines*columns), lines , columns , in2);
+}
diff --git a/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c b/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c
new file mode 100644
index 0000000..a6220d5
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c
@@ -0,0 +1,69 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+
+
+void dcolumnstdevfa(double *in1, int lines, int columns, double *in2, double* out){
+  int i = 0;
+  int j = 0;
+  double temp = 0.0;
+  double accumulate = 0.0;
+  double accumulateFre = 0.0 ;
+    
+  dcolumnmeanfa(in1, lines, columns, in2, out );
+
+  
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = 0.0;
+      accumulateFre= 0.0;
+      temp = 0.0;
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+         temp = dpows (  (in1[lines*i + j]  - out[j] ) ,2 );
+         temp *= in2[lines*i + j];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*i + j];
+        } 
+
+      if (lines <= 1)
+       {
+        out[j] =  0.0 * accumulate ; 
+       }
+      else
+       {
+        out[j] = dsqrts(accumulate / (accumulateFre - 1));
+       }
+    }
+
+}
+/*
+                               
+                                                               !
+!  elseif o == 'c' | o == 2 then                                                                    !
+!    // here ones is used becaue we work on  matrix , but in C we work on element so we only need iteratation                                                                                               !
+!    y = x - meanf(x, fre, o) * ones(1, size(x, o))                                                 !
+!                                                                                                   !
+
+!  if size(x, 1) == 1 then                                                                          !                                                                                              !
+!    s = 0 * sum(y.^2 .* fre, o)                                                                                                                                                                 !
+!  else                                                                                             !                                                                                               !
+!    s = sqrt(sum(y.^2 .* fre, o) ./ (sum(fre, o) - 1));                                            !
+                                                                                      !
+*/ 
+
diff --git a/src/c/statisticsFunctions/stdevf/drowstdevfa.c b/src/c/statisticsFunctions/stdevf/drowstdevfa.c
new file mode 100644
index 0000000..c861f06
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/drowstdevfa.c
@@ -0,0 +1,53 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+
+
+void drowstdevfa(double *in1, int lines, int columns, double *in2, double* out){
+  int i = 0;
+  int j = 0;
+  double temp = 0.0f;
+  double accumulate = 0.0f;
+  double accumulateFre = 0.0f ;
+    
+  drowmeanfa(in1, lines, columns, in2, out );
+
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+    {
+      accumulate = 0.0f;
+      accumulateFre= 0.0f;
+      temp = 0.0f;
+
+      for ( i = 0 ; i < lines; ++i )
+        {
+         temp = dpows (  (in1[lines*j + i]  - out[j] ) ,2 );
+         temp *= in2[lines*j + i];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*j + i];
+        } 
+
+      if (lines <= 1)
+       {
+        out[j] =  0.0 * accumulate ; 
+       }
+      else
+       {
+        out[j] = dsqrts(accumulate / (accumulateFre - 1));
+       }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/dstdevfa.c b/src/c/statisticsFunctions/stdevf/dstdevfa.c
new file mode 100644
index 0000000..4194435
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/dstdevfa.c
@@ -0,0 +1,43 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+double dstdevfa(double *in1, int lines, int columns, double* in2)
+{
+  int i = 0 ;
+  double meanf = dmeanfa (in1 , lines*columns , in2);
+  double temp = 0.0;
+  double accumulate = 0.0 ;
+  double accumulateFre = 0.0 ;
+    /*printf ("\nmeanf %lf \n" ,meanf);*/
+
+    /*equivalent to  (in1 - meanf(x , in2 )).^2 .*in2   */
+    for(i = 0 ; i <  lines*columns; ++i)
+      {
+     
+       temp = dpows (  (in1[i]  - meanf ) ,2 );
+       temp *= in2[i];
+
+       accumulate += temp ;
+       accumulateFre += in2[i];
+      }
+
+    if (lines <= 1)
+      {
+        return 0.0 * accumulate ; 
+      }
+    else
+      {
+        return dsqrts(accumulate) / (accumulateFre - 1);
+      }
+}
diff --git a/src/c/statisticsFunctions/stdevf/scolumnstdevfa.c b/src/c/statisticsFunctions/stdevf/scolumnstdevfa.c
new file mode 100644
index 0000000..f3552ea
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/scolumnstdevfa.c
@@ -0,0 +1,69 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+
+
+void scolumnstdevfa(float *in1, int lines, int columns, float *in2, float* out){
+  int i = 0;
+  int j = 0;
+  float temp = 0.0f;
+  float accumulate = 0.0f;
+  float accumulateFre = 0.0f ;
+    
+  scolumnmeanfa(in1, lines, columns, in2, out );
+
+  
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = 0.0f;
+      accumulateFre= 0.0f;
+      temp = 0.0f;
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+         temp = spows (  (in1[lines*i + j]  - out[j] ) ,2 );
+         temp *= in2[lines*i + j];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*i + j];
+        } 
+
+      if (lines <= 1)
+       {
+        out[j] =  0.0f * accumulate ; 
+       }
+      else
+       {
+        out[j] = ssqrts(accumulate / (accumulateFre - 1));
+       }
+    }
+
+}
+/*
+                               
+                                                               !
+!  elseif o == 'c' | o == 2 then                                                                    !
+!    // here ones is used becaue we work on  matrix , but in C we work on element so we only need iteratation                                                                                               !
+!    y = x - meanf(x, fre, o) * ones(1, size(x, o))                                                 !
+!                                                                                                   !
+
+!  if size(x, 1) == 1 then                                                                          !                                                                                              !
+!    s = 0 * sum(y.^2 .* fre, o)                                                                                                                                                                 !
+!  else                                                                                             !                                                                                               !
+!    s = sqrt(sum(y.^2 .* fre, o) ./ (sum(fre, o) - 1));                                            !
+                                                                                      !
+*/ 
+
diff --git a/src/c/statisticsFunctions/stdevf/srowstdevfa.c b/src/c/statisticsFunctions/stdevf/srowstdevfa.c
new file mode 100644
index 0000000..337b80e
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/srowstdevfa.c
@@ -0,0 +1,53 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+
+
+void srowstdevfa(float *in1, int lines, int columns, float *in2, float* out){
+  int i = 0;
+  int j = 0;
+  float temp = 0.0f;
+  float accumulate = 0.0f;
+  float accumulateFre = 0.0f ;
+    
+  srowmeanfa(in1, lines, columns, in2, out );
+
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+    {
+      accumulate = 0.0f;
+      accumulateFre= 0.0f;
+      temp = 0.0f;
+
+      for ( i = 0 ; i < lines; ++i )
+        {
+         temp = spows (  (in1[lines*j + i]  - out[j] ) ,2 );
+         temp *= in2[lines*j + i];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*j + i];
+        } 
+
+      if (lines <= 1)
+       {
+        out[j] =  0.0f * accumulate ; 
+       }
+      else
+       {
+        out[j] = ssqrts(accumulate/ (accumulateFre - 1));
+       }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/sstdevfa.c b/src/c/statisticsFunctions/stdevf/sstdevfa.c
new file mode 100644
index 0000000..5ccdab8
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/sstdevfa.c
@@ -0,0 +1,68 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+float sstdevfa(float *in1, int lines, int columns, float* in2)
+{
+  int i = 0 ;
+  float meanf = smeanfa (in1 , lines*columns , in2);
+  float temp = 0.0f;
+  float accumulate = 0.0f ;
+  float accumulateFre = 0.0f ;
+    
+
+    /*equivalent to  (in1 - meanf(x , in2 )).^2 .*in2   */
+    for(i = 0 ; i <  lines*columns; ++i)
+      {
+     
+       temp = spows (  (in1[i]  - meanf ) ,2 );
+       temp *= in2[i];
+
+       accumulate += temp ;
+       accumulateFre += in2[i];
+      }
+
+    if (lines <= 1)
+      {
+        return 0.0f * accumulate ; 
+      }
+    else
+      {
+        return ssqrts(  accumulate/(accumulateFre - 1) );
+      }
+}
+/*
+                               
+!    o = '*'                                                                                        !
+
+!  //remove the median                                                                              !
+!                                                                                                   !
+!  if o == '*' then                                                                                 !
+!                                                                                                   !
+!    y = x - meanf(x, fre)                                                                          !
+!                                                                                                   !
+!  elseif o == 'r' | o == 1 then                                                                    !
+!                                                                                                   !
+!    y = x - ones(size(x, o), 1) * meanf(x, fre, o)                                                 !
+!                                                                                                   !
+!  elseif o == 'c' | o == 2 then                                                                    !
+!                                                                                                   !
+!    y = x - meanf(x, fre, o) * ones(1, size(x, o))                                                 !
+!                                                                                                   !
+
+!  if size(x, 1) == 1 then                                                                          !                                                                                              !
+!    s = 0 * sum(y.^2 .* fre, o)                                                                                                                                                                 !
+!  else                                                                                             !                                                                                               !
+!    s = sqrt(   sum(y.^2 .* fre, o) ./ (sum(fre, o) - 1)   );                                            !
+                                                                                      !
+*/           
diff --git a/src/c/statisticsFunctions/stdevf/testDoubleStdevf.c b/src/c/statisticsFunctions/stdevf/testDoubleStdevf.c
new file mode 100644
index 0000000..3b0b61a
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/testDoubleStdevf.c
@@ -0,0 +1,509 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "stdevf.h"
+
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dstdevfsTest(void) {
+  double value1 = 3.0;
+  double value2 = 1.123456789f;
+  double coef1  = 56.0 ;
+  double coef2  = 2.0 ;
+
+  printf("\n>>>> stdevf Double Scalar Test\n");
+  printf("result : %e " ,dstdevfs(value1,coef1)) ;
+  printf("result : %e " ,dstdevfs(value2,coef)) ;
+  assert( (  dstdevfs(value1,coef1)  ) ==  0.0 );
+  assert( ( dstdevfs(value2,coef2)  ) ==  0.0 );
+
+  value1 = 3.0;
+  value2 = 1.123456789f;
+  coef1  = 56.0 ;
+  coef2  = 2.0 ;
+
+
+  return 0;
+}
+
+static int dstdevfaTest(void) {
+  double table1[3] = {3.0, 6.0, 9.0};
+  double coef1[3] = {10.0, 2.0, 6.0}; 
+
+  double table2[5] = {3.186784563,
+		     4.186784563,
+		     5.186784563,
+		     6.186784563,
+		     7.186784563};
+
+  double coef2[5] = {3.0,
+		     4.0,
+		     5.0,
+		     6.0,
+		     7.0};
+ 
+  double table3[10] = {3.0, 6.0, 9.0,10.0, 5.0,
+                      6.0,18.0, 7.0,14.0, 2.0};
+  double coef3 [10] = {3.0, 8.0,14.0,13.0, 2.0,
+                      5.0, 8.0, 2.0, 6.0, 8.0};
+
+  double result_2_5 = dstdevfa(table3,2, 5, coef3);
+
+  printf("\n>>>> stdevf Double Array Test\n");
+  printf("\nresult : %e " ,dstdevfa(table1,1, 3, coef1)) ;
+  printf("\nresult : %e " ,dstdevfa(table2,1, 5, coef2)) ;
+  printf("\nresult : %e " ,result_2_5) ;
+
+  assert(dstdevfa(table1,1, 3, coef1) == 0.0);
+  assert(dstdevfa(table1,1, 3, coef1) == 0.0);
+  assert( ( fabs(result_2_5 ) - (  4.6440201 ) ) / fabs ( result_2_5  ) <  1e-6 );
+  return 0;
+}
+
+
+static int dcolumnstdevfaTest(void) {
+
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+
+  double columnStdevfedTable1_3_3[3] = {0};
+  double columnStdevfedTable1_1_9[1] = {0};
+
+
+  printf("\n>>>> Column stdevf Double Array Test\n");
+  
+/**/
+  
+  dcolumnstdevfa(table1, 3, 3, coef1 ,columnStdevfedTable1_3_3);
+
+  printf("\nresult1 : %e " ,columnStdevfedTable1_3_3[0]) ;
+  printf("\nresult2 : %e " ,columnStdevfedTable1_3_3[1]) ;
+  printf("\nresult3 : %e " ,columnStdevfedTable1_3_3[2]) ;
+
+  assert( fabs(columnStdevfedTable1_3_3[0]  - 0.8268689) / fabs ( columnStdevfedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(columnStdevfedTable1_3_3[1]  - 0.8164966) / fabs ( columnStdevfedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(columnStdevfedTable1_3_3[2]  - 0.8323524 ) / fabs ( columnStdevfedTable1_3_3[2]  ) <  1e-6 );
+
+
+  
+  dcolumnstdevfa(table1, 1, 9, coef1 ,columnStdevfedTable1_1_9);
+  printf("\nresult_1_9: %e\n " ,columnStdevfedTable1_1_9[0]) ;
+  assert( columnStdevfedTable1_1_9[0] == 0.0);
+
+
+  return 0;
+}
+
+
+static int drowstdevfaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+
+  double table2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double coef2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+
+
+
+  double rowStdevfedTable1_3_3[3] = {0};
+  double rowStdevfedTable1_1_9[9] = {0};
+  double rowStdevfedTable2_2_5[5] = {0};
+  printf("\n>>>> Row Mean Double Array Test\n");
+
+  
+  drowstdevfa(table1, 3, 3, coef1 , rowStdevfedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowStdevfedTable1_3_3[%d] = %e\n", i, rowStdevfedTable1_3_3[i]);
+  }
+  assert( fabs(rowStdevfedTable1_3_3[0]  - 2.8394542 ) / fabs ( rowStdevfedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(rowStdevfedTable1_3_3[1]  - 2.8003759) / fabs ( rowStdevfedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(rowStdevfedTable1_3_3[2]  - 2.7669196) / fabs ( rowStdevfedTable1_3_3[2]  ) <  1e-6 );
+
+/**/
+  drowstdevfa(table1, 1, 9, coef1, rowStdevfedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowStdevfedTable1_1_9[%d] = %e\n", i, rowStdevfedTable1_1_9[i]);
+    assert(rowStdevfedTable1_1_9[i] == 0.0);
+  }
+
+  
+/**/
+  /**/
+  drowstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable_2_5[%d] = %e \n", i, rowStdevfedTable2_2_5[i]);
+    }
+  assert( fabs(rowStdevfedTable2_2_5[0] - 0.9045340 ) / fabs ( rowStdevfedTable2_2_5[0] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[1] - 2.3935678 ) / fabs ( rowStdevfedTable2_2_5[1] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[2] - 1.3887301 ) / fabs ( rowStdevfedTable2_2_5[2] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[3] - 1.2421180 ) / fabs ( rowStdevfedTable2_2_5[3] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[4] - 0.4523443 ) / fabs ( rowStdevfedTable2_2_5[4] ) <  1e-6 );
+  return 0;
+}
+
+
+static int zstdevfsTest(void) {
+  doubleComplex value1;
+  doubleComplex coef1 ;
+  doubleComplex value2;
+  doubleComplex coef2 ;
+
+  value1 = DoubleComplex(3.0, 3.0);
+  coef1 = DoubleComplex(3.0, 0.0);
+  value2 = DoubleComplex(1.123456789f, 1.123456789f);
+  coef2 = DoubleComplex(9.0, 0.0);
+
+  printf("\n>>>> Mean Double Complex Scalar Test\n");
+  assert(  zreals(zstdevfs(value1,coef1)) ==  0.0 );
+  assert(  zimags(zstdevfs(value1,coef1)) ==  0.0 );
+  assert(  zreals(zstdevfs(value2,coef2)) ==  0.0 );
+  assert(  zimags(zstdevfs(value2,coef2)) ==  0.0 );
+
+  return 0;
+}
+
+
+
+static int zstdevfaTest(void) {
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+
+  double tableR2[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI2[9] = {0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0};
+  double coefR2[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+  double coefI2[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+
+
+  double tableR3[10] = {3.0, 6.0, 9.0,10.0, 5.0,
+                       6.0,18.0, 7.0,14.0, 2.0};
+  double tableI3[10] = {3.0,12.0,25.0, 1.0, 2.0,
+                       5.0,18.0, 7.0, 4.0, 1.0};
+
+
+  double coefR3 [10] = {3.0, 8.0,14.0,13.0, 2.0,
+                       5.0, 8.0, 2.0, 6.0, 8.0};
+  double coefI3 [10] = {0.0, 0.0, 0.0, 0.0, 0.0,
+                       0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 9);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 9);
+
+  doubleComplex* table3 = DoubleComplexMatrix (tableR3, tableI3, 10);
+  doubleComplex* coef3 = DoubleComplexMatrix (coefR3, coefI3, 10);
+
+  doubleComplex result =DoubleComplex(0.0 , 0.0); 
+  
+  printf("\n>>>> Mean Double Complex Array Test\n");
+  result = zstdevfa(table1,1, 9, coef1);
+  printf("\nresult_1_9 : %e \t+ %e i " ,zreals(result) ,zimags(result)) ;
+  assert(  zreals(result) == 0.0 );
+  assert(  zimags(result) == 0.0 );
+
+  result = zstdevfa(table2,1, 9, coef2);
+  printf("\nresult2_1_9 : %e \t+ %e i " ,zreals(result) ,zimags(result)) ;
+  assert(  zreals(result) == 0.0 );
+  assert(  zimags(result) == 0.0 );
+
+
+  result = zstdevfa(table3,2, 5, coef3);
+  printf("\nresult_2_5 : %e \t+ %e i " ,zreals(result) ,zimags(result)) ;
+  assert( fabs(zreals(result)  - 1.7749350 ) / fabs ( zimags(result)  ) <  1e-6 );
+  assert( fabs(zimags(result)  - 8.3811287) / fabs ( zreals(result)  ) <  1e-6 );
+
+  return 0;
+}
+
+
+static int zrowstdevfaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI2[10]   = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 10);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 10);
+ 
+  doubleComplex rowStdevfedTable1_3_3[3];
+  doubleComplex rowStdevfedTable2_2_5[5];
+  /*test when the matrix is only imaginary*/
+  double tableR3[10] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+  double tableI3[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR3[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI3[10]  = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+
+  doubleComplex* table3 = DoubleComplexMatrix (tableR3, tableI3, 10);
+  doubleComplex* coef3  = DoubleComplexMatrix (coefR3, coefI3, 10);
+ 
+  doubleComplex rowStdevfedTable3_2_5[5];
+ /**/
+  /*test when the matrix is only real and the coef matrix is only imaginary*/
+  double tableR4[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI4[10] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0 , 0.0};
+  double coefR4[10]  = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0 , 0.0}; 
+  double coefI4[10]   ={10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0};
+
+ 
+
+
+  doubleComplex* table4 = DoubleComplexMatrix (tableR4, tableI4, 10);
+  doubleComplex* coef4  = DoubleComplexMatrix (coefR4, coefI4, 10);
+ 
+  doubleComplex rowStdevfedTable4_2_5[5];
+ /**/
+
+
+  printf("\n>>>> Row stdevf Double Complex Array Test\n");
+
+  rowStdevfedTable1_3_3[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable1_3_3[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable1_3_3[2] = DoubleComplex(0.0, 0.0);
+
+  rowStdevfedTable2_2_5[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable2_2_5[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable2_2_5[2] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable2_2_5[3] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable2_2_5[4] = DoubleComplex(0.0, 0.0);
+
+  rowStdevfedTable3_2_5[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_2_5[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_2_5[2] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_2_5[3] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_2_5[4] = DoubleComplex(0.0, 0.0);
+
+
+  rowStdevfedTable4_2_5[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable4_2_5[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable4_2_5[2] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable4_2_5[3] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable4_2_5[4] = DoubleComplex(0.0, 0.0);
+
+
+  zrowstdevfa(table1 , 3 , 3 , coef1 , rowStdevfedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("rowStdevfedTable_3_3[%d] = %e + %ei\n", i, zreals(rowStdevfedTable1_3_3[i]), zimags(rowStdevfedTable1_3_3[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable1_3_3[0])  - 2.8394542 ) / fabs ( zreals(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[0])  - 0.9464847) / fabs ( zimags(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(zreals(rowStdevfedTable1_3_3[1])  - 2.8003759) / fabs ( zreals(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[1])  - 0.9334586) / fabs ( zimags(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable1_3_3[2])  - 2.7669196) / fabs ( zreals(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[2])  - 0.9223065) / fabs ( zimags(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+/**/
+  zrowstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable_2_5[%d] = %e + %ei\n", i, zreals(rowStdevfedTable2_2_5[i]), zimags(rowStdevfedTable2_2_5[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable2_2_5[0])  - 0.9045340 ) / fabs ( zreals(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[0])  - 0.3015113 ) / fabs ( zimags(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable2_2_5[1])  - 2.3935678 ) / fabs ( zreals(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[1])  + 0.4787136) / fabs ( zimags(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable2_2_5[2])  - 1.3887301 ) / fabs ( zreals(rowStdevfedTable2_2_5[2])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[2])  - 0.4629100 ) / fabs ( zimags(rowStdevfedTable2_2_5[2])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable2_2_5[3])  - 1.2421180 ) / fabs ( zreals(rowStdevfedTable2_2_5[3])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[3])  - 0.4140393 ) / fabs ( zimags(rowStdevfedTable2_2_5[3])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable2_2_5[4])  - 0.4523443 ) / fabs ( zreals(rowStdevfedTable2_2_5[4])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[4])  - 2.7140659) / fabs ( zimags(rowStdevfedTable2_2_5[4])  ) <  1e-6 );
+/**/
+  zrowstdevfa(table3, 2 , 5 , coef3 , rowStdevfedTable3_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable3_2_5[%d] = %e + %ei\n", i, zreals(rowStdevfedTable3_2_5[i]), zimags(rowStdevfedTable3_2_5[i]));
+    }
+  
+  assert( fabs(zimags(rowStdevfedTable3_2_5[0])  - 0.3015113 ) / fabs (zimags(rowStdevfedTable3_2_5[0])  ) <  1e-6 );
+
+
+  assert( fabs(zimags(rowStdevfedTable3_2_5[1])  - 0.4787136) / fabs  ( zimags(rowStdevfedTable3_2_5[1])  ) <  1e-6 );
+
+
+  assert( fabs(zimags(rowStdevfedTable3_2_5[2])  - 0.4629100 ) / fabs (zimags(rowStdevfedTable3_2_5[2])  ) <  1e-6 );
+
+
+  assert( fabs(zimags(rowStdevfedTable3_2_5[3])  - 0.4140393 ) / fabs ( zimags(rowStdevfedTable3_2_5[3])  ) <  1e-6 );
+
+
+  assert( fabs(zimags(rowStdevfedTable3_2_5[4])  - 2.7140659) / fabs  ( zimags(rowStdevfedTable3_2_5[4])  ) <  1e-6 );
+
+/**/
+  zrowstdevfa(table4 , 2 , 5 , coef4 , rowStdevfedTable4_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable4_2_5[%d] = %e + %ei\n", i, zreals(rowStdevfedTable4_2_5[i]), zimags(rowStdevfedTable4_2_5[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable4_2_5[0])  - 0.8597825 ) / fabs ( zreals(rowStdevfedTable4_2_5[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable4_2_5[0])  + 0.0390006 ) / fabs ( zimags(rowStdevfedTable4_2_5[0])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable4_2_5[1])  - 2.3141768 ) / fabs ( zreals(rowStdevfedTable4_2_5[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable4_2_5[1])  + 0.0722475) / fabs ( zimags(rowStdevfedTable4_2_5[1])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable4_2_5[2])  - 1.2915122 ) / fabs ( zreals(rowStdevfedTable4_2_5[2])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable4_2_5[2])  + 0.0804066 ) / fabs ( zimags(rowStdevfedTable4_2_5[2])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable4_2_5[3])  - 1.1980065 ) / fabs ( zreals(rowStdevfedTable4_2_5[3])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable4_2_5[3])  + 0.0398893 ) / fabs ( zimags(rowStdevfedTable4_2_5[3])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable4_2_5[4])  - 0.4433143 ) / fabs ( zreals(rowStdevfedTable4_2_5[4])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable4_2_5[4])  + 0.00852212) / fabs ( zimags(rowStdevfedTable4_2_5[4])  ) <  1e-6 );
+
+  return 0;
+}
+
+
+
+
+static int zcolumnstdevfaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI2[10]   = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR3[6] = {4.0, 5.0, 6.0, 7.0, 8.0, 9.0 };
+  double tableI3[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
+
+  double coefR3[6]  = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0};  
+  double coefI3[6]  = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 10);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 10);
+
+  doubleComplex* table3 = DoubleComplexMatrix (tableR3, tableI3, 10);
+  doubleComplex* coef3 = DoubleComplexMatrix (coefR3, coefI3, 10);
+
+  doubleComplex rowStdevfedTable1_3_3[3];
+  doubleComplex rowStdevfedTable2_2_5[2];
+  doubleComplex rowStdevfedTable3_3_2[3];
+ 
+  rowStdevfedTable1_3_3[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable1_3_3[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable1_3_3[2] = DoubleComplex(0.0, 0.0);
+
+  rowStdevfedTable2_2_5[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable2_2_5[1] = DoubleComplex(0.0, 0.0);
+
+  rowStdevfedTable3_3_2[0] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_3_2[1] = DoubleComplex(0.0, 0.0);
+  rowStdevfedTable3_3_2[2] = DoubleComplex(0.0, 0.0);
+
+
+  printf("\n>>>> Column stdevf Double Complex Array Test\n");
+
+  
+
+  zcolumnstdevfa(table1 , 3 , 3 , coef1 , rowStdevfedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnStdevfedTable_3_3[%d] = %e + %ei\n", i, zreals(rowStdevfedTable1_3_3[i]), zimags(rowStdevfedTable1_3_3[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable1_3_3[0])  - 0.8268689) / fabs ( zimags(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[0])  - 2.4806066) / fabs ( zreals(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(zreals(rowStdevfedTable1_3_3[1])  - 0.8164966) / fabs ( zimags(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[1])  - 2.4494897) / fabs ( zreals(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable1_3_3[2])  - 0.8323524 ) / fabs ( zimags(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable1_3_3[2])  - 2.4970571 ) / fabs ( zreals(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+/**/
+  zcolumnstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 2 ; ++i )
+    {
+      printf("columnStdevfedTable_2_5[%d] = %e + %ei\n", i, zreals(rowStdevfedTable2_2_5[i]), zimags(rowStdevfedTable2_2_5[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable2_2_5[0])  - 2.3683811 ) / fabs ( zimags(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[0])  - 2.4784193 ) / fabs ( zreals(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable2_2_5[1])  - 3.1890422 ) / fabs ( zimags(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable2_2_5[1])  - 4.9966774 ) / fabs ( zreals(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+
+  zcolumnstdevfa(table3 , 3 , 2 , coef3 , rowStdevfedTable3_3_2);
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnStdevfedTable3_3_2[%d] = %e + %ei\n", i, zreals(rowStdevfedTable3_3_2[i]), zimags(rowStdevfedTable3_3_2[i]));
+    }
+  assert( fabs(zreals(rowStdevfedTable3_3_2[0])  - 1.1825083) / fabs ( zimags(rowStdevfedTable3_3_2[0])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable3_3_2[0])  + 0.1170914) / fabs ( zreals(rowStdevfedTable3_3_2[0])  ) <  1e-6 );
+  
+  assert( fabs(zreals(rowStdevfedTable3_3_2[1])  - 1.3450417) / fabs ( zimags(rowStdevfedTable3_3_2[1])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable3_3_2[1])  + 0.0955892) / fabs ( zreals(rowStdevfedTable3_3_2[1])  ) <  1e-6 );
+
+  assert( fabs(zreals(rowStdevfedTable3_3_2[2])  - 1.4077246 ) / fabs ( zimags(rowStdevfedTable3_3_2[2])  ) <  1e-6 );
+  assert( fabs(zimags(rowStdevfedTable3_3_2[2])  + 0.0779670 ) / fabs ( zreals(rowStdevfedTable3_3_2[2])  ) <  1e-6 );
+  return 0;
+}
+
+
+static int teststdevf(void) {
+
+  dstdevfsTest();
+  dstdevfaTest();
+  dcolumnstdevfaTest();
+  drowstdevfaTest();
+  zstdevfsTest();
+  zstdevfaTest();
+  zrowstdevfaTest();
+  zcolumnstdevfaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(teststdevf() == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/stdevf/testFloatStdevf.c b/src/c/statisticsFunctions/stdevf/testFloatStdevf.c
new file mode 100644
index 0000000..bdf61a6
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/testFloatStdevf.c
@@ -0,0 +1,389 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "stdevf.h"
+
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int sstdevfsTest(void) {
+  float value1 = 3.0f;
+  float value2 = 1.123456789f;
+  float coef1  = 56.0f ;
+  float coef2  = 2.0f ;
+
+  printf("\n>>>> stdevf Float Scalar Test\n");
+  printf("result : %f " ,sstdevfs(value1,coef1)) ;
+  printf("result : %f " ,sstdevfs(value2,coef)) ;
+  assert( (  sstdevfs(value1,coef1)  ) ==  0.0f );
+  assert( ( sstdevfs(value2,coef2)  ) ==  0.0f );
+
+  value1 = 3.0f;
+  value2 = 1.123456789f;
+  coef1  = 56.0f ;
+  coef2  = 2.0f ;
+
+
+  return 0;
+}
+
+static int sstdevfaTest(void) {
+  float table1[3] = {3.0f, 6.0f, 9.0f};
+  float coef1[3] = {10.0f, 2.0f, 6.0f}; 
+
+  float table2[5] = {3.186784563f,
+		     4.186784563f,
+		     5.186784563f,
+		     6.186784563f,
+		     7.186784563f};
+
+  float coef2[5] = {3.0f,
+		     4.0f,
+		     5.0f,
+		     6.0f,
+		     7.0f};
+ 
+  float table3[10] = {3.0f, 6.0f, 9.0f,10.0f, 5.0f,
+                      6.0f,18.0f, 7.0f,14.0f, 2.0f};
+  float coef3 [10] = {3.0f, 8.0f,14.0f,13.0f, 2.0f,
+                      5.0f, 8.0f, 2.0f, 6.0f, 8.0f};
+
+  float result_2_5 = sstdevfa(table3,2, 5, coef3);
+
+  printf("\n>>>> stdevf Float Array Test\n");
+  printf("\nresult : %f " ,sstdevfa(table1,1, 3, coef1)) ;
+  printf("\nresult : %f " ,sstdevfa(table2,1, 5, coef2)) ;
+  printf("\nresult : %f " ,result_2_5) ;
+
+  assert(sstdevfa(table1,1, 3, coef1) == 0.0f);
+  assert(sstdevfa(table1,1, 3, coef1) == 0.0f);
+  assert( ( fabs(result_2_5 ) - (  4.6440201f ) ) / fabs ( result_2_5  ) <  1e-6 );
+  return 0;
+}
+
+
+static int scolumnstdevfaTest(void) {
+
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+
+  float columnStdevfedTable1_3_3[3] = {0};
+  float columnStdevfedTable1_1_9[1] = {0};
+
+
+  printf("\n>>>> Column stdevf Float Array Test\n");
+  
+/**/
+  
+  scolumnstdevfa(table1, 3, 3, coef1 ,columnStdevfedTable1_3_3);
+
+  printf("\nresult1 : %f " ,columnStdevfedTable1_3_3[0]) ;
+  printf("\nresult2 : %f " ,columnStdevfedTable1_3_3[1]) ;
+  printf("\nresult3 : %f " ,columnStdevfedTable1_3_3[2]) ;
+
+  assert( fabs(columnStdevfedTable1_3_3[0]  - 0.8268689f ) / fabs ( columnStdevfedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(columnStdevfedTable1_3_3[1]  - 0.8164966f ) / fabs ( columnStdevfedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(columnStdevfedTable1_3_3[2]  - 0.8323524f ) / fabs ( columnStdevfedTable1_3_3[2]  ) <  1e-6 );
+
+
+  
+  scolumnstdevfa(table1, 1, 9, coef1 ,columnStdevfedTable1_1_9);
+  printf("\nresult_1_9: %f\n " ,columnStdevfedTable1_1_9[0]) ;
+  assert( columnStdevfedTable1_1_9[0] == 0.0f);
+
+
+  return 0;
+}
+
+
+static int srowstdevfaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+
+  float table2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float coef2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+
+
+
+  float rowStdevfedTable1_3_3[3] = {0};
+  float rowStdevfedTable1_1_9[9] = {0};
+  float rowStdevfedTable2_2_5[5] = {0};
+  printf("\n>>>> Row Mean Float Array Test\n");
+
+  
+  srowstdevfa(table1, 3, 3, coef1 , rowStdevfedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowStdevfedTable1_3_3[%d] = %e\n", i, rowStdevfedTable1_3_3[i]);
+  }
+  assert( fabs(rowStdevfedTable1_3_3[0]  - 2.8394542f ) / fabs ( rowStdevfedTable1_3_3[0]  ) <  1e-6 );
+  assert( fabs(rowStdevfedTable1_3_3[1]  - 2.8003759f ) / fabs ( rowStdevfedTable1_3_3[1]  ) <  1e-6 );
+  assert( fabs(rowStdevfedTable1_3_3[2]  - 2.7669196f ) / fabs ( rowStdevfedTable1_3_3[2]  ) <  1e-6 );
+
+/**/
+  srowstdevfa(table1, 1, 9, coef1, rowStdevfedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowStdevfedTable1_1_9[%d] = %e\n", i, rowStdevfedTable1_1_9[i]);
+    assert(rowStdevfedTable1_1_9[i] == 0.0f);
+  }
+
+  
+/**/
+  /**/
+  srowstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable_2_5[%d] = %e \n", i, rowStdevfedTable2_2_5[i]);
+    }
+  assert( fabs(rowStdevfedTable2_2_5[0] - 0.9045340f ) / fabs ( rowStdevfedTable2_2_5[0] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[1] - 2.3935678f ) / fabs ( rowStdevfedTable2_2_5[1] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[2] - 1.3887301f ) / fabs ( rowStdevfedTable2_2_5[2] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[3] - 1.2421180f ) / fabs ( rowStdevfedTable2_2_5[3] ) <  1e-6 );
+  assert( fabs(rowStdevfedTable2_2_5[4] - 0.4523443f ) / fabs ( rowStdevfedTable2_2_5[4] ) <  1e-6 );
+  return 0;
+}
+
+
+static int cstdevfsTest(void) {
+  floatComplex value1;
+  floatComplex coef1 ;
+  floatComplex value2;
+  floatComplex coef2 ;
+
+  value1 = FloatComplex(3.0f, 3.0f);
+  coef1 = FloatComplex(3.0f, 0.0f);
+  value2 = FloatComplex(1.123456789f, 1.123456789f);
+  coef2 = FloatComplex(9.0f, 0.0f);
+
+  printf("\n>>>> Mean Float Complex Scalar Test\n");
+  assert(  creals(cstdevfs(value1,coef1)) ==  0.0f );
+  assert(  cimags(cstdevfs(value1,coef1)) ==  0.0f );
+  assert(  creals(cstdevfs(value2,coef2)) ==  0.0f );
+  assert(  cimags(cstdevfs(value2,coef2)) ==  0.0f );
+
+  return 0;
+}
+
+
+
+static int cstdevfaTest(void) {
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+
+  float tableR3[10] = {3.0f, 6.0f, 9.0f,10.0f, 5.0f,
+                       6.0f,18.0f, 7.0f,14.0f, 2.0f};
+  float tableI3[10] = {3.0f,12.0f,25.0f, 1.0f, 2.0f,
+                       5.0f,18.0f, 7.0f, 4.0f, 1.0f};
+
+
+  float coefR3 [10] = {3.0f, 8.0f,14.0f,13.0f, 2.0f,
+                       5.0f, 8.0f, 2.0f, 6.0f, 8.0f};
+  float coefI3 [10] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f,
+                       0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+  floatComplex* table3 = FloatComplexMatrix (tableR3, tableI3, 10);
+  floatComplex* coef3 = FloatComplexMatrix (coefR3, coefI3, 10);
+
+  floatComplex result =FloatComplex(0.0f , 0.0f); 
+  
+  printf("\n>>>> Mean Float Complex Array Test\n");
+  result = cstdevfa(table1,1, 9, coef1);
+  printf("\nresult_1_9 : %f \t+ %f i " ,creals(result) ,cimags(result)) ;
+  assert(  creals(result) == 0.0f );
+  assert(  cimags(result) == 0.0f );
+
+
+  result = cstdevfa(table3,2, 5, coef3);
+  printf("\nresult_2_5 : %f \t+ %f i " ,creals(result) ,cimags(result)) ;
+  assert( fabs(creals(result)  - 1.7749350f ) / fabs ( cimags(result)  ) <  1e-6 );
+  assert( fabs(cimags(result)  - 8.3811287f ) / fabs ( creals(result)  ) <  1e-6 );
+
+  return 0;
+}
+
+
+static int crowstdevfaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 10);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 10);
+
+  floatComplex rowStdevfedTable1_3_3[3];
+  floatComplex rowStdevfedTable2_2_5[5];
+
+  printf("\n>>>> Row stdevf Float Complex Array Test\n");
+
+  rowStdevfedTable1_3_3[0] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable1_3_3[1] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable1_3_3[2] = FloatComplex(0.0f, 0.0f);
+
+  rowStdevfedTable2_2_5[0] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable2_2_5[1] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable2_2_5[2] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable2_2_5[3] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable2_2_5[4] = FloatComplex(0.0f, 0.0f);
+
+
+  crowstdevfa(table1 , 3 , 3 , coef1 , rowStdevfedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("rowStdevfedTable_3_3[%d] = %e + %ei\n", i, creals(rowStdevfedTable1_3_3[i]), cimags(rowStdevfedTable1_3_3[i]));
+    }
+  assert( fabs(creals(rowStdevfedTable1_3_3[0])  - 2.8394542f ) / fabs ( cimags(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[0])  - 0.9464847f ) / fabs ( creals(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(creals(rowStdevfedTable1_3_3[1])  - 2.8003759f ) / fabs ( cimags(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[1])  - 0.9334586f ) / fabs ( creals(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable1_3_3[2])  - 2.7669196f ) / fabs ( cimags(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[2])  - 0.9223065f ) / fabs ( creals(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+/**/
+  crowstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 5 ; ++i )
+    {
+      printf("rowStdevfedTable_2_5[%d] = %e + %ei\n", i, creals(rowStdevfedTable2_2_5[i]), cimags(rowStdevfedTable2_2_5[i]));
+    }
+  assert( fabs(creals(rowStdevfedTable2_2_5[0])  - 0.9045340f ) / fabs ( cimags(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[0])  - 0.3015113f ) / fabs ( creals(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable2_2_5[1])  - 2.3935678f ) / fabs ( cimags(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[1])  + 0.4787136f ) / fabs ( creals(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable2_2_5[2])  - 1.3887301f ) / fabs ( cimags(rowStdevfedTable2_2_5[2])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[2])  - 0.4629100f ) / fabs ( creals(rowStdevfedTable2_2_5[2])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable2_2_5[3])  - 1.2421180f ) / fabs ( cimags(rowStdevfedTable2_2_5[3])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[3])  - 0.4140393f ) / fabs ( creals(rowStdevfedTable2_2_5[3])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable2_2_5[4])  - 0.4523443f ) / fabs ( cimags(rowStdevfedTable2_2_5[4])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[4])  - 2.7140659f ) / fabs ( creals(rowStdevfedTable2_2_5[4])  ) <  1e-6 );
+
+  return 0;
+}
+
+
+
+
+static int ccolumnstdevfaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 10);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 10);
+
+  floatComplex rowStdevfedTable1_3_3[3];
+  floatComplex rowStdevfedTable2_2_5[2];
+ 
+  rowStdevfedTable1_3_3[0] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable1_3_3[1] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable1_3_3[2] = FloatComplex(0.0f, 0.0f);
+
+  rowStdevfedTable2_2_5[0] = FloatComplex(0.0f, 0.0f);
+  rowStdevfedTable2_2_5[1] = FloatComplex(0.0f, 0.0f);
+
+
+
+  printf("\n>>>> Column stdevf Float Complex Array Test\n");
+
+  
+
+  ccolumnstdevfa(table1 , 3 , 3 , coef1 , rowStdevfedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnStdevfedTable_3_3[%d] = %e + %ei\n", i, creals(rowStdevfedTable1_3_3[i]), cimags(rowStdevfedTable1_3_3[i]));
+    }
+  assert( fabs(creals(rowStdevfedTable1_3_3[0])  - 0.8268689f ) / fabs ( cimags(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[0])  - 2.4806066f ) / fabs ( creals(rowStdevfedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( fabs(creals(rowStdevfedTable1_3_3[1])  - 0.8164966f ) / fabs ( cimags(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[1])  - 2.4494897f ) / fabs ( creals(rowStdevfedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable1_3_3[2])  - 0.8323524f ) / fabs ( cimags(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable1_3_3[2])  - 2.4970571f ) / fabs ( creals(rowStdevfedTable1_3_3[2])  ) <  1e-6 );
+/**/
+  ccolumnstdevfa(table2 , 2 , 5 , coef2 , rowStdevfedTable2_2_5);
+  for (i = 0 ; i < 2 ; ++i )
+    {
+      printf("columnStdevfedTable_2_5[%d] = %e + %ei\n", i, creals(rowStdevfedTable2_2_5[i]), cimags(rowStdevfedTable2_2_5[i]));
+    }
+  assert( fabs(creals(rowStdevfedTable2_2_5[0])  - 2.3683811f ) / fabs ( cimags(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[0])  - 2.4784193f ) / fabs ( creals(rowStdevfedTable2_2_5[0])  ) <  1e-6 );
+
+  assert( fabs(creals(rowStdevfedTable2_2_5[1])  - 3.1890422f ) / fabs ( cimags(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+  assert( fabs(cimags(rowStdevfedTable2_2_5[1])  - 4.9966774f ) / fabs ( creals(rowStdevfedTable2_2_5[1])  ) <  1e-6 );
+
+
+  return 0;
+}
+
+
+static int teststdevf(void) {
+
+  sstdevfsTest();
+  sstdevfaTest();
+  scolumnstdevfaTest();
+  srowstdevfaTest();
+  cstdevfsTest();
+  cstdevfaTest();
+  crowstdevfaTest();
+  ccolumnstdevfaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(teststdevf() == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/stdevf/zcolumnstdevfa.c b/src/c/statisticsFunctions/stdevf/zcolumnstdevfa.c
new file mode 100644
index 0000000..7dadda7
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/zcolumnstdevfa.c
@@ -0,0 +1,59 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+#include "abs.h"
+
+void zcolumnstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex*in2, doubleComplex* out){
+  int i = 0;
+  int j = 0;
+  doubleComplex temp = DoubleComplex(0.0,0.0);
+  doubleComplex accumulate = DoubleComplex(0.0,0.0);
+  doubleComplex accumulateFre = DoubleComplex(0.0,0.0);
+    
+  zcolumnmeanfa(in1, lines, columns, in2, out );
+
+
+  /*we first multiply each zell of the input matrix by its zoefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = DoubleComplex(0.0,0.0);
+      accumulateFre = DoubleComplex(0.0,0.0);
+      temp = DoubleComplex(0.0,0.0);
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+
+         temp = zpows (  zdiffs (in1[lines*i + j] ,out[j] ) ,DoubleComplex (2.0, 0.0 ) );
+         temp = zmuls( in2[lines*i + j] , temp);
+
+         accumulate = zadds( temp , accumulate);
+         accumulateFre = zadds(in2[lines*i + j] ,accumulateFre );
+
+        } 
+
+      if (lines <= 1)
+        {
+          out[j] = zmuls (DoubleComplex(0.0,0.0) , accumulate ) ; 
+        }
+      else
+        {
+	  if( dabss (zreals(accumulate)) <= 3e-14 ) accumulate = DoubleComplex(dabss(zreals(accumulate)) ,zimags(accumulate));
+	  if( dabss (zimags(accumulate)) <= 3e-14 ) accumulate = DoubleComplex(zreals(accumulate) ,dabss(zimags(accumulate)));
+       accumulate = zrdivs(accumulate, zdiffs(accumulateFre ,DoubleComplex(1.0,0.0)));
+        out[j] = zsqrts(accumulate);
+        }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/zrowstdevfa.c b/src/c/statisticsFunctions/stdevf/zrowstdevfa.c
new file mode 100644
index 0000000..bfa77aa
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/zrowstdevfa.c
@@ -0,0 +1,63 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h"
+#include "meanf.h"
+#include "abs.h"
+
+
+
+void zrowstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex*in2, doubleComplex* out){
+  int i = 0;
+  int j = 0;
+  doubleComplex temp = DoubleComplex(0.0,0.0);
+  doubleComplex accumulate = DoubleComplex(0.0,0.0);
+  doubleComplex accumulateFre = DoubleComplex(0.0,0.0);
+    
+  zrowmeanfa(in1, lines, columns, in2, out );
+
+  /*we first multiply each zell of the input matrix by its coefficient*/
+  for (j = 0; j < columns; ++j)
+    {
+
+      accumulate = DoubleComplex(0.0,0.0);
+      accumulateFre =DoubleComplex(0.0,0.0);
+      temp = DoubleComplex(0.0,0.0);
+
+      for ( i = 0 ; i < lines; ++i )
+        {
+
+         temp = zpows (  zdiffs (in1[lines*j + i] ,out[j] ) ,DoubleComplex (2.0, 0.0 ) );
+         temp = zmuls( in2[lines*j + i] , temp);
+
+         accumulate = zadds( temp , accumulate);
+         accumulateFre = zadds(in2[lines*j + i] ,accumulateFre );
+
+        } 
+
+      if (lines <= 1)
+        {
+          out[j] = zmuls (DoubleComplex(0.0,0.0) , accumulate ) ; 
+        }
+      else
+        {
+	  if( dabss (zreals(accumulate)) <= 3e-14 ) accumulate = DoubleComplex(dabss(zreals(accumulate)) ,zimags(accumulate));
+	  if( dabss (zimags(accumulate)) <= 3e-14 ) accumulate = DoubleComplex(zreals(accumulate) ,dabss(zimags(accumulate)));
+
+
+        accumulate = zrdivs(accumulate, zdiffs(accumulateFre ,DoubleComplex(1.0,0.0)));
+        out[j] = zsqrts(accumulate);
+
+        }
+    }
+
+}
diff --git a/src/c/statisticsFunctions/stdevf/zstdevfa.c b/src/c/statisticsFunctions/stdevf/zstdevfa.c
new file mode 100644
index 0000000..2a4f52b
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/zstdevfa.c
@@ -0,0 +1,46 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+
+doubleComplex zstdevfa(doubleComplex *in1, int lines, int columns, doubleComplex* in2)
+{
+  int i = 0 ;
+
+  doubleComplex temp = DoubleComplex(0.0,0.0);
+  doubleComplex accumulate = DoubleComplex(0.0,0.0);
+  doubleComplex accumulateFre = DoubleComplex(0.0,0.0);
+  doubleComplex meanf = zmeanfa (in1 , lines*columns , in2);
+	
+  for(i = 0 ; i < lines*columns ; ++i)
+    {
+     temp = zpows (  zdiffs (in1[i] , meanf ) ,DoubleComplex (2.0, 0.0 ) );	
+     temp = zmuls( in2[i] , temp);
+
+     accumulate = zadds( temp , accumulate);
+     accumulateFre = zadds(in2[i ] ,accumulateFre );
+
+    } 
+
+    if (lines <= 1)
+      {
+	
+        return zmuls (DoubleComplex(0.0,0.0) , accumulate ) ; 
+      }
+    else
+      {
+
+       accumulate = zrdivs(accumulate, zdiffs(accumulateFre ,DoubleComplex(1.0,0.0) ));
+       return zsqrts(accumulate);
+      }
+}
diff --git a/src/c/statisticsFunctions/stdevf/zstdevfdz.c b/src/c/statisticsFunctions/stdevf/zstdevfdz.c
new file mode 100644
index 0000000..90feb21
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/zstdevfdz.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <stdlib.h>
+#include "stdevf.h" 
+#include "zeros.h"
+
+doubleComplex zstdevfdz(double *in1, int lines, int columns, doubleComplex* in2)
+{
+    double* ZEROS = (double *) malloc((unsigned int)(lines*columns*sizeof(double)));
+    dzerosa(ZEROS,lines,columns);
+    
+    return zstdevfa(DoubleComplexMatrix(in1,ZEROS,lines*columns), lines,columns , in2);
+}
diff --git a/src/c/statisticsFunctions/stdevf/zstdevfzd.c b/src/c/statisticsFunctions/stdevf/zstdevfzd.c
new file mode 100644
index 0000000..f7a28e3
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/zstdevfzd.c
@@ -0,0 +1,41 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "stdevf.h" 
+
+doubleComplex zstdevfzd(doubleComplex *in1, int lines, int columns, double* in2)
+{
+  int i = 0 ;
+  doubleComplex temp = DoubleComplex(0.0,0.0);
+  doubleComplex accumulate = DoubleComplex(0.0,0.0);
+  double accumulateFre = 0.0 ;
+  doubleComplex meanf = zmeanfzd (in1 , lines , columns , in2);
+/*equivalent to  (in1 - meanf(x , in2 )).^2 .*in2   */
+  for(i = 0 ; i < lines*columns ; ++i)
+    {
+     temp = zpows (  zdiffs (in1[i] , meanf ) ,DoubleComplex (2.0, 0.0 ) );
+     temp = zmuls( DoubleComplex(in2[i],0.0f) , temp);
+
+     accumulate = zadds( temp , accumulate);
+     accumulateFre +=  in2[i];
+    }
+
+    if (lines <= 1)
+      {
+        return zmuls (DoubleComplex(0.0,0.0) , accumulate ) ; 
+      }
+    else
+      {
+        accumulate = DoubleComplex(  zreals(accumulate ) / (accumulateFre - 1) , zimags(accumulate)  / (accumulateFre - 1));
+        return zsqrts(accumulate);
+      }
+}
diff --git a/src/c/statisticsFunctions/sum/Makefile.am b/src/c/statisticsFunctions/sum/Makefile.am
new file mode 100644
index 0000000..0fd7965
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/Makefile.am
@@ -0,0 +1,65 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libSum_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libSum.la
+
+libSum_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	ssuma.c \
+		srowsuma.c \
+		scolumnsuma.c \
+		dsuma.c \
+		drowsuma.c \
+		dcolumnsuma.c \
+		csuma.c \
+		crowsuma.c \
+		ccolumnsuma.c \
+		zsuma.c \
+		zrowsuma.c \
+		zcolumnsuma.c
+
+HEAD	=	../includes/sum.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatSum testDoubleSum
+
+TESTS		=	testFloatSum testDoubleSum
+
+#
+# -*- Sum Tests -*-
+#
+testFloatSum_SOURCES = testFloatSum.c
+testFloatSum_CFLAGS =	$(check_INCLUDES)
+testFloatSum_LDADD =	$(check_LDADD)
+
+testDoubleSum_SOURCES =testDoubleSum.c
+testDoubleSum_CFLAGS =	$(check_INCLUDES)
+testDoubleSum_LDADD =	$(check_LDADD)
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/sum/Makefile.in b/src/c/statisticsFunctions/sum/Makefile.in
new file mode 100644
index 0000000..f3d5a85
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/Makefile.in
@@ -0,0 +1,831 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
+pkgincludedir = $(includedir)/@PACKAGE@
+pkglibdir = $(libdir)/@PACKAGE@
+pkglibexecdir = $(libexecdir)/@PACKAGE@
+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
+install_sh_PROGRAM = $(install_sh) -c
+install_sh_SCRIPT = $(install_sh) -c
+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatSum$(EXEEXT) testDoubleSum$(EXEEXT)
+TESTS = testFloatSum$(EXEEXT) testDoubleSum$(EXEEXT)
+subdir = src/c/statisticsFunctions/sum
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
+ACLOCAL_M4 = $(top_srcdir)/aclocal.m4
+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
+	$(ACLOCAL_M4)
+mkinstalldirs = $(install_sh) -d
+CONFIG_HEADER = $(top_builddir)/includes/machine.h
+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
+am__nobase_strip_setup = \
+  srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*|]/\\\\&/g'`
+am__nobase_strip = \
+  for p in $$list; do echo "$$p"; done | sed -e "s|$$srcdirstrip/||"
+am__nobase_list = $(am__nobase_strip_setup); \
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+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
+  sed '$$!N;$$!N;$$!N;$$!N;s/\n/ /g'
+am__installdirs = "$(DESTDIR)$(pkglibdir)"
+LTLIBRARIES = $(pkglib_LTLIBRARIES)
+libSum_la_LIBADD =
+am__objects_1 =
+am__objects_2 = libSum_la-ssuma.lo libSum_la-srowsuma.lo \
+	libSum_la-scolumnsuma.lo libSum_la-dsuma.lo \
+	libSum_la-drowsuma.lo libSum_la-dcolumnsuma.lo \
+	libSum_la-csuma.lo libSum_la-crowsuma.lo \
+	libSum_la-ccolumnsuma.lo libSum_la-zsuma.lo \
+	libSum_la-zrowsuma.lo libSum_la-zcolumnsuma.lo
+am_libSum_la_OBJECTS = $(am__objects_1) $(am__objects_2)
+libSum_la_OBJECTS = $(am_libSum_la_OBJECTS)
+libSum_la_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libSum_la_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testDoubleSum_OBJECTS = testDoubleSum-testDoubleSum.$(OBJEXT)
+testDoubleSum_OBJECTS = $(am_testDoubleSum_OBJECTS)
+am__DEPENDENCIES_1 = $(top_builddir)/src/c/type/libDoubleComplex.la \
+	$(top_builddir)/src/c/type/libFloatComplex.la \
+	$(top_builddir)/src/c/operations/addition/libAddition.la \
+	$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la
+testDoubleSum_DEPENDENCIES = $(am__DEPENDENCIES_1)
+testDoubleSum_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testDoubleSum_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testFloatSum_OBJECTS = testFloatSum-testFloatSum.$(OBJEXT)
+testFloatSum_OBJECTS = $(am_testFloatSum_OBJECTS)
+testFloatSum_DEPENDENCIES = $(am__DEPENDENCIES_1)
+testFloatSum_LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) \
+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(testFloatSum_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+DEFAULT_INCLUDES = -I.@am__isrc@ -I$(top_builddir)/includes
+depcomp = $(SHELL) $(top_srcdir)/config/depcomp
+am__depfiles_maybe = depfiles
+am__mv = mv -f
+COMPILE = $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) \
+	$(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
+LTCOMPILE = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
+	--mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) \
+	$(AM_CPPFLAGS) $(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
+CCLD = $(CC)
+LINK = $(LIBTOOL) --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) \
+	--mode=link $(CCLD) $(AM_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
+SOURCES = $(libSum_la_SOURCES) $(testDoubleSum_SOURCES) \
+	$(testFloatSum_SOURCES)
+DIST_SOURCES = $(libSum_la_SOURCES) $(testDoubleSum_SOURCES) \
+	$(testFloatSum_SOURCES)
+ETAGS = etags
+CTAGS = ctags
+am__tty_colors = \
+red=; grn=; lgn=; blu=; std=
+DISTFILES = $(DIST_COMMON) $(DIST_SOURCES) $(TEXINFOS) $(EXTRA_DIST)
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+SET_MAKE = @SET_MAKE@
+SHELL = @SHELL@
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+VERSION = @VERSION@
+abs_builddir = @abs_builddir@
+abs_srcdir = @abs_srcdir@
+abs_top_builddir = @abs_top_builddir@
+abs_top_srcdir = @abs_top_srcdir@
+ac_ct_CC = @ac_ct_CC@
+ac_ct_CXX = @ac_ct_CXX@
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+am__quote = @am__quote@
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+build_alias = @build_alias@
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+build_os = @build_os@
+build_vendor = @build_vendor@
+builddir = @builddir@
+datadir = @datadir@
+datarootdir = @datarootdir@
+docdir = @docdir@
+dvidir = @dvidir@
+exec_prefix = @exec_prefix@
+host = @host@
+host_alias = @host_alias@
+host_cpu = @host_cpu@
+host_os = @host_os@
+host_vendor = @host_vendor@
+htmldir = @htmldir@
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+infodir = @infodir@
+install_sh = @install_sh@
+libdir = @libdir@
+libexecdir = @libexecdir@
+localedir = @localedir@
+localstatedir = @localstatedir@
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+mandir = @mandir@
+mkdir_p = @mkdir_p@
+oldincludedir = @oldincludedir@
+pdfdir = @pdfdir@
+prefix = @prefix@
+program_transform_name = @program_transform_name@
+psdir = @psdir@
+sbindir = @sbindir@
+sharedstatedir = @sharedstatedir@
+srcdir = @srcdir@
+sysconfdir = @sysconfdir@
+target_alias = @target_alias@
+top_build_prefix = @top_build_prefix@
+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libSum_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libSum.la
+libSum_la_SOURCES = $(HEAD) $(SRC)
+SRC = ssuma.c \
+		srowsuma.c \
+		scolumnsuma.c \
+		dsuma.c \
+		drowsuma.c \
+		dcolumnsuma.c \
+		csuma.c \
+		crowsuma.c \
+		ccolumnsuma.c \
+		zsuma.c \
+		zrowsuma.c \
+		zcolumnsuma.c
+
+HEAD = ../includes/sum.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			@LIBMATH@
+
+
+#
+# -*- Sum Tests -*-
+#
+testFloatSum_SOURCES = testFloatSum.c
+testFloatSum_CFLAGS = $(check_INCLUDES)
+testFloatSum_LDADD = $(check_LDADD)
+testDoubleSum_SOURCES = testDoubleSum.c
+testDoubleSum_CFLAGS = $(check_INCLUDES)
+testDoubleSum_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
+.SUFFIXES: .c .lo .o .obj
+$(srcdir)/Makefile.in: @MAINTAINER_MODE_TRUE@ $(srcdir)/Makefile.am  $(am__configure_deps)
+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
+	      ( cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh ) \
+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
+	  esac; \
+	done; \
+	echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/sum/Makefile'; \
+	$(am__cd) $(top_srcdir) && \
+	  $(AUTOMAKE) --foreign src/c/statisticsFunctions/sum/Makefile
+.PRECIOUS: Makefile
+Makefile: $(srcdir)/Makefile.in $(top_builddir)/config.status
+	@case '$?' in \
+	  *config.status*) \
+	    cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh;; \
+	  *) \
+	    echo ' cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe)'; \
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+$(top_builddir)/config.status: $(top_srcdir)/configure $(CONFIG_STATUS_DEPENDENCIES)
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+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
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+	test -z "$(pkglibdir)" || $(MKDIR_P) "$(DESTDIR)$(pkglibdir)"
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	list2=; for p in $$list; do \
+	  if test -f $$p; then \
+	    list2="$$list2 $$p"; \
+	  else :; fi; \
+	done; \
+	test -z "$$list2" || { \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 '$(DESTDIR)$(pkglibdir)'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+	}
+
+uninstall-pkglibLTLIBRARIES:
+	@$(NORMAL_UNINSTALL)
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	for p in $$list; do \
+	  $(am__strip_dir) \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f '$(DESTDIR)$(pkglibdir)/$$f'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+	done
+
+clean-pkglibLTLIBRARIES:
+	-test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libSum.la: $(libSum_la_OBJECTS) $(libSum_la_DEPENDENCIES) 
+	$(libSum_la_LINK) -rpath $(pkglibdir) $(libSum_la_OBJECTS) $(libSum_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
+testDoubleSum$(EXEEXT): $(testDoubleSum_OBJECTS) $(testDoubleSum_DEPENDENCIES) 
+	@rm -f testDoubleSum$(EXEEXT)
+	$(testDoubleSum_LINK) $(testDoubleSum_OBJECTS) $(testDoubleSum_LDADD) $(LIBS)
+testFloatSum$(EXEEXT): $(testFloatSum_OBJECTS) $(testFloatSum_DEPENDENCIES) 
+	@rm -f testFloatSum$(EXEEXT)
+	$(testFloatSum_LINK) $(testFloatSum_OBJECTS) $(testFloatSum_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
+
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libSum_la-ccolumnsuma.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libSum_la-crowsuma.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libSum_la-csuma.Plo@am__quote@
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+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libSum_la-dsuma.Plo@am__quote@
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+.c.o:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Po
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+@am__fastdepCC_FALSE@	$(COMPILE) -c $<
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+.c.obj:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ `$(CYGPATH_W) '$<'`
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+.c.lo:
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+libSum_la-ssuma.lo: ssuma.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libSum_la_CFLAGS) $(CFLAGS) -MT libSum_la-ssuma.lo -MD -MP -MF $(DEPDIR)/libSum_la-ssuma.Tpo -c -o libSum_la-ssuma.lo `test -f 'ssuma.c' || echo '$(srcdir)/'`ssuma.c
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+libSum_la-srowsuma.lo: srowsuma.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libSum_la_CFLAGS) $(CFLAGS) -MT libSum_la-srowsuma.lo -MD -MP -MF $(DEPDIR)/libSum_la-srowsuma.Tpo -c -o libSum_la-srowsuma.lo `test -f 'srowsuma.c' || echo '$(srcdir)/'`srowsuma.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libSum_la-srowsuma.Tpo $(DEPDIR)/libSum_la-srowsuma.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='srowsuma.c' object='libSum_la-srowsuma.lo' libtool=yes @AMDEPBACKSLASH@
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+
+libSum_la-scolumnsuma.lo: scolumnsuma.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libSum_la_CFLAGS) $(CFLAGS) -MT libSum_la-scolumnsuma.lo -MD -MP -MF $(DEPDIR)/libSum_la-scolumnsuma.Tpo -c -o libSum_la-scolumnsuma.lo `test -f 'scolumnsuma.c' || echo '$(srcdir)/'`scolumnsuma.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libSum_la-scolumnsuma.Tpo $(DEPDIR)/libSum_la-scolumnsuma.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='scolumnsuma.c' object='libSum_la-scolumnsuma.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libSum_la_CFLAGS) $(CFLAGS) -c -o libSum_la-scolumnsuma.lo `test -f 'scolumnsuma.c' || echo '$(srcdir)/'`scolumnsuma.c
+
+libSum_la-dsuma.lo: dsuma.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libSum_la_CFLAGS) $(CFLAGS) -MT libSum_la-dsuma.lo -MD -MP -MF $(DEPDIR)/libSum_la-dsuma.Tpo -c -o libSum_la-dsuma.lo `test -f 'dsuma.c' || echo '$(srcdir)/'`dsuma.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libSum_la-dsuma.Tpo $(DEPDIR)/libSum_la-dsuma.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='dsuma.c' object='libSum_la-dsuma.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
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+
+libSum_la-drowsuma.lo: drowsuma.c
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+	done
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+install-exec: install-exec-am
+install-data: install-data-am
+uninstall: uninstall-am
+
+install-am: all-am
+	@$(MAKE) $(AM_MAKEFLAGS) install-exec-am install-data-am
+
+installcheck: installcheck-am
+install-strip:
+	$(MAKE) $(AM_MAKEFLAGS) INSTALL_PROGRAM="$(INSTALL_STRIP_PROGRAM)" \
+	  install_sh_PROGRAM="$(INSTALL_STRIP_PROGRAM)" INSTALL_STRIP_FLAG=-s \
+	  `test -z '$(STRIP)' || \
+	    echo "INSTALL_PROGRAM_ENV=STRIPPROG='$(STRIP)'"` install
+mostlyclean-generic:
+
+clean-generic:
+
+distclean-generic:
+	-test -z "$(CONFIG_CLEAN_FILES)" || rm -f $(CONFIG_CLEAN_FILES)
+	-test . = "$(srcdir)" || test -z "$(CONFIG_CLEAN_VPATH_FILES)" || rm -f $(CONFIG_CLEAN_VPATH_FILES)
+
+maintainer-clean-generic:
+	@echo "This command is intended for maintainers to use"
+	@echo "it deletes files that may require special tools to rebuild."
+clean: clean-am
+
+clean-am: clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES mostlyclean-am
+
+distclean: distclean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+distclean-am: clean-am distclean-compile distclean-generic \
+	distclean-tags
+
+dvi: dvi-am
+
+dvi-am:
+
+html: html-am
+
+html-am:
+
+info: info-am
+
+info-am:
+
+install-data-am:
+
+install-dvi: install-dvi-am
+
+install-dvi-am:
+
+install-exec-am: install-pkglibLTLIBRARIES
+
+install-html: install-html-am
+
+install-html-am:
+
+install-info: install-info-am
+
+install-info-am:
+
+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am: uninstall-pkglibLTLIBRARIES
+
+.MAKE: check-am install-am install-strip
+
+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/sum/ccolumnsuma.c b/src/c/statisticsFunctions/sum/ccolumnsuma.c
new file mode 100644
index 0000000..64018cd
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/ccolumnsuma.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void ccolumnsuma(floatComplex *in, int lines, int columns, floatComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = cadds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/crowsuma.c b/src/c/statisticsFunctions/sum/crowsuma.c
new file mode 100644
index 0000000..aaf3c59
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/crowsuma.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void crowsuma(floatComplex *in, int lines, int columns, floatComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = cadds( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/csuma.c b/src/c/statisticsFunctions/sum/csuma.c
new file mode 100644
index 0000000..68ebb29
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/csuma.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+floatComplex csuma(floatComplex *in, int size) {
+  floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = cadds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/sum/dcolumnsuma.c b/src/c/statisticsFunctions/sum/dcolumnsuma.c
new file mode 100644
index 0000000..1f9b479
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/dcolumnsuma.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void dcolumnsuma(double *in, int lines, int columns, double * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] += in[i];
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/drowsuma.c b/src/c/statisticsFunctions/sum/drowsuma.c
new file mode 100644
index 0000000..f5e2ed3
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/drowsuma.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void drowsuma(double *in, int lines, int columns, double *out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] += in[((i - 1) % columns) * lines + 1 + (i - 1) / columns];
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/dsuma.c b/src/c/statisticsFunctions/sum/dsuma.c
new file mode 100644
index 0000000..eddceb6
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/dsuma.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+double dsuma(double *in, int size) {
+  double accumulate = 0.0;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += in[i];
+    }
+  return accumulate;
+
+}
diff --git a/src/c/statisticsFunctions/sum/i16columnsuma.c b/src/c/statisticsFunctions/sum/i16columnsuma.c
new file mode 100644
index 0000000..a34cea1
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i16columnsuma.c
@@ -0,0 +1,34 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void i16columnsuma(int16 *in, int lines, int columns, int16 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = (int16)in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = (int16)i16adds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/i16rowsuma.c b/src/c/statisticsFunctions/sum/i16rowsuma.c
new file mode 100644
index 0000000..03d8ff2
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i16rowsuma.c
@@ -0,0 +1,35 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void i16rowsuma(int16 *in, int lines, int columns, int16 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = (int16)in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = (int16)i16adds( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/i16suma.c b/src/c/statisticsFunctions/sum/i16suma.c
new file mode 100644
index 0000000..f5d0809
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i16suma.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+int16 i16suma(int16 *in, int size) {
+ //floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  int i = 0;
+  int16 accumulate = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = i16adds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/sum/i8columnsuma.c b/src/c/statisticsFunctions/sum/i8columnsuma.c
new file mode 100644
index 0000000..bb79897
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i8columnsuma.c
@@ -0,0 +1,34 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void i8columnsuma(int8 *in, int lines, int columns, int8 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = (int8)in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = (int8)i8adds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/i8rowsuma.c b/src/c/statisticsFunctions/sum/i8rowsuma.c
new file mode 100644
index 0000000..2008f32
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i8rowsuma.c
@@ -0,0 +1,35 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void i8rowsuma(int8 *in, int lines, int columns, int8 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = (int8)in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = (int8)i8adds( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/i8suma.c b/src/c/statisticsFunctions/sum/i8suma.c
new file mode 100644
index 0000000..468a98b
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/i8suma.c
@@ -0,0 +1,27 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+int8 i8suma(int8 *in, int size) {
+ //floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  int8 accumulate = 0;
+  
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = i8adds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/sum/scolumnsuma.c b/src/c/statisticsFunctions/sum/scolumnsuma.c
new file mode 100644
index 0000000..4d2415f
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/scolumnsuma.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void scolumnsuma(float *in, int lines, int columns, float * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] += in[i];
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/srowsuma.c b/src/c/statisticsFunctions/sum/srowsuma.c
new file mode 100644
index 0000000..3f20661
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/srowsuma.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void srowsuma(float *in, int lines, int columns, float * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] += in[((i - 1) % columns) * lines + 1 + (i - 1) / columns];
+    }
+}
+
diff --git a/src/c/statisticsFunctions/sum/ssuma.c b/src/c/statisticsFunctions/sum/ssuma.c
new file mode 100644
index 0000000..aabc7fe
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/ssuma.c
@@ -0,0 +1,25 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+float ssuma(float *in, int size) {
+  float accumulate = 0.0f;
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate += in[i];
+    }
+  return accumulate;
+
+}
diff --git a/src/c/statisticsFunctions/sum/testDoubleSum.c b/src/c/statisticsFunctions/sum/testDoubleSum.c
new file mode 100644
index 0000000..b411a7d
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/testDoubleSum.c
@@ -0,0 +1,493 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "sum.h"
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dsumsTest(void) {
+  double value1 = 3.0;
+  double value2 = 1.123456789;
+
+  printf("\n>>>> Sum Double Scalar Test\n");
+  assert(dsums(value1) == 3.0);
+  assert(dsums(value2) == 1.123456789);
+
+  return 0;
+}
+
+static int dsumaTest(void) {
+  double table1[3] = {3.0, 3.0, 3.0};
+  double table2[5] = {9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563,
+		     9.186784563};
+
+  printf("\n>>>> Sum Double Array Test\n");
+  assert(dsuma(table1, 3) == 9.0);
+  assert((dsuma(table2, 5) - (9.186784653 + 9.186785634 + 9.186784563 + 9.186784563 + 9.186784563)) < 3e-16);
+  return 0;
+}
+
+static int dcolumnsumaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double columnSummedTable1_3_3[3] = {0};
+  double columnSummedTable1_1_9[1] = {0};
+  double columnSummedTable1_9_1[9] = {0};
+  double columnSummedTable2_2_5[2] = {0};
+  double columnSummedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Sum Double Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 6 15 24 ]
+    [ 7 8 9 ]
+  */
+  dcolumnsuma(table1, 3, 3,columnSummedTable1_3_3);
+  assert(columnSummedTable1_3_3[0] == 6.0);
+  assert(columnSummedTable1_3_3[1] == 15.0);
+  assert(columnSummedTable1_3_3[2] == 24.0);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  dcolumnsuma(table1, 1, 9,columnSummedTable1_1_9);
+  assert(columnSummedTable1_1_9[0] == 45.0);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  dcolumnsuma(table1, 9, 1,columnSummedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnSummedTable1_9_1[%d] = %e\n", i, columnSummedTable1_9_1[i]);
+    assert(columnSummedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 25 30 ]
+  */
+  dcolumnsuma(table2, 2, 5,columnSummedTable2_2_5);
+  assert(columnSummedTable2_2_5[0] == 25.0);
+  assert(columnSummedTable2_2_5[1] == 30.0);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnSummedTable2_2_5[%d] = %e\n", i, columnSummedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 7 9 11 13 15 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  dcolumnsuma(table2, 5, 2,columnSummedTable2_5_2);
+  assert(columnSummedTable2_5_2[0] == 7.0);
+  assert(columnSummedTable2_5_2[1] == 9.0);
+  assert(columnSummedTable2_5_2[2] == 11.0);
+  assert(columnSummedTable2_5_2[3] == 13.0);
+  assert(columnSummedTable2_5_2[4] == 15.0);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnSummedTable2_5_2[%d] = %e\n", i, columnSummedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int drowsumaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double rowSummedTable1_3_3[3] = {0};
+  double rowSummedTable1_1_9[9] = {0};
+  double rowSummedTable1_9_1[1] = {0};
+  double rowSummedTable2_2_5[5] = {0};
+  double rowSummedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Sum Double Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 12 15 18 ]
+    [ 7 8 9 ]
+  */
+  drowsuma(table1, 3, 3,rowSummedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowSummedTable1_3_3[%d] = %e\n", i, rowSummedTable1_3_3[i]);
+  }
+  assert(rowSummedTable1_3_3[0] == 12.0);
+  assert(rowSummedTable1_3_3[1] == 15.0);
+  assert(rowSummedTable1_3_3[2] == 18.0);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  drowsuma(table1, 1, 9,rowSummedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowSummedTable1_1_9[%d] = %e\n", i, rowSummedTable1_1_9[i]);
+    assert(rowSummedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  drowsuma(table1, 9, 1,rowSummedTable1_9_1);
+  assert(rowSummedTable1_9_1[0] == 45.0);
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ]
+  */
+  drowsuma(table2, 2, 5,rowSummedTable2_2_5);
+  assert(rowSummedTable2_2_5[0] == 3.0);
+  assert(rowSummedTable2_2_5[1] == 7.0);
+  assert(rowSummedTable2_2_5[2] == 11.0);
+  assert(rowSummedTable2_2_5[3] == 15.0);
+  assert(rowSummedTable2_2_5[4] == 19.0);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowSummedTable2_2_5[%d] = %e\n", i, rowSummedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 15 40 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  drowsuma(table2, 5, 2,rowSummedTable2_5_2);
+  assert(rowSummedTable2_5_2[0] == 15.0);
+  assert(rowSummedTable2_5_2[1] == 40.0);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowSummedTable2_5_2[%d] = %e\n", i, rowSummedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int zsumsTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789);
+
+  printf("\n>>>> Sum Double Complex Scalar Test\n");
+  assert(zreals(zsums(value1)) == 3.0);
+  assert(zimags(zsums(value1)) == 3.0);
+  assert(zreals(zsums(value2)) == 1.123456789);
+  assert(zimags(zsums(value2)) == 1.123456789);
+  return 0;
+}
+
+static int zsumaTest(void) {
+  doubleComplex value1 = DoubleComplex(3.0, 3.0);
+  doubleComplex table1[3];
+  doubleComplex value2 = DoubleComplex(9.186784563,9.186784563);
+  doubleComplex table2[5];
+
+  printf("\n>>>> Sum Double Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");
+  printf("%e\n", zimags(zsuma(table1, 3)));
+  printf("%e\n", zreals(zsuma(table2, 5)));
+  printf("%e\n", zimags(zsuma(table2, 5)));
+  printf("%e\n", zreals(zsuma(table2, 5)));
+  printf("%e\n", zimags(zsuma(table2, 5)));
+  printf("--------\n");
+#endif
+  assert(zreals(zsuma(table1, 3)) == 9.0);
+  assert(zimags(zsuma(table1, 3)) == 9.0);
+  assert(zreals(zsuma(table2, 5)) == 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563);
+  assert(zimags(zsuma(table2, 5)) == 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563);
+
+  return 0;
+}
+
+static int zrowsumaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex rowSummedIn_4_3[3];
+  doubleComplex rowSummedIn_3_4[4];
+  doubleComplex rowSummedIn_6_2[2];
+  doubleComplex rowSummedIn_2_6[6];
+  doubleComplex rowSummedIn_1_12[12];
+  doubleComplex rowSummedIn_12_1[1];
+
+  printf("\n>>>> Row Sum Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  zrowsuma(in, 4, 3, rowSummedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowSummedIn_4_3[%d] = %e + %ei\n", i, zreals(rowSummedIn_4_3[i]), zimags(rowSummedIn_4_3[i]));
+  }
+  assert(fabs(zreals(rowSummedIn_4_3[0]) -0.6) < 2e-16);
+  assert(zimags(rowSummedIn_4_3[0]) == 3.8);
+  assert(zreals(rowSummedIn_4_3[1]) == 2.2);
+  assert(fabs(zimags(rowSummedIn_4_3[1]) - 2.2) < 1e-15);
+  assert(fabs(zreals(rowSummedIn_4_3[2]) - 3.8) < 1e-15);
+  assert(zimags(rowSummedIn_4_3[2]) == 0.6);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  zrowsuma(in, 3, 4, rowSummedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowSummedIn_3_4[%d] = %e + %ei\n", i, zreals(rowSummedIn_3_4[i]), zimags(rowSummedIn_3_4[i]));
+  }
+  assert(fabs(zreals(rowSummedIn_3_4[0]) - 0.3) < 1e-16);
+  assert(zimags(rowSummedIn_3_4[0]) == 3.0);
+  assert(zreals(rowSummedIn_3_4[1]) == 1.2 && zimags(rowSummedIn_3_4[1]) == 2.1);
+  assert(fabs(zreals(rowSummedIn_3_4[2]) - 2.1) < 1e-15);
+  assert(zimags(rowSummedIn_3_4[2]) == 1.2);
+  assert(zreals(rowSummedIn_3_4[3]) == 3.0);
+  assert(fabs(zimags(rowSummedIn_3_4[3]) - 0.3) < 1e-16);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  zrowsuma(in, 6, 2, rowSummedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowSummedIn_6_2[%d] = %e + %ei\n", i, zreals(rowSummedIn_6_2[i]), zimags(rowSummedIn_6_2[i]));
+  }
+  assert(zreals(rowSummedIn_6_2[0]) == 1.5 && zimags(rowSummedIn_6_2[0]) == 5.1);
+  assert(zreals(rowSummedIn_6_2[1]) == 5.1 && zimags(rowSummedIn_6_2[1]) == 1.5);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ]
+  */
+  zrowsuma(in, 2, 6, rowSummedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowSummedIn_2_6[%d] = %e + %ei\n", i, zreals(rowSummedIn_2_6[i]), zimags(rowSummedIn_2_6[i]));
+  }
+  assert(zreals(rowSummedIn_2_6[0]) == 0.1 && zimags(rowSummedIn_2_6[0]) == 2.1);
+  assert(zreals(rowSummedIn_2_6[1]) == 0.5);
+  assert(fabs(zimags(rowSummedIn_2_6[1]) - 1.7) < 3e-16);
+  assert(zreals(rowSummedIn_2_6[2]) == 0.9);
+  assert(fabs(zimags(rowSummedIn_2_6[2]) - 1.3) < 3e-16);
+  assert(fabs(zreals(rowSummedIn_2_6[3]) - 1.3) < 3e-16);
+  assert(zimags(rowSummedIn_2_6[3]) == 0.9);
+  assert(fabs(zreals(rowSummedIn_2_6[4]) - 1.7) < 3e-16);
+  assert(zimags(rowSummedIn_2_6[4]) == 0.5);
+  assert(zreals(rowSummedIn_2_6[5]) == 2.1 && zimags(rowSummedIn_2_6[5]) == 0.1);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+  */
+  zrowsuma(in, 1, 12, rowSummedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowSummedIn_1_12[%d] = %e + %ei\n", i, zreals(rowSummedIn_1_12[i]), zimags(rowSummedIn_1_12[i]));
+    assert(zreals(rowSummedIn_1_12[i]) == zreals(in[i]) && zimags(rowSummedIn_1_12[i]) == zimags(in[i]));
+  }
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] => [ 6.6+6.6i ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  zrowsuma(in, 12, 1, rowSummedIn_12_1);
+  printf("rowSummedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowSummedIn_12_1[0]), zimags(rowSummedIn_12_1[0]));
+  assert(zreals(rowSummedIn_12_1[0]) == 6.6 && zimags(rowSummedIn_12_1[0]) == 6.6);
+
+  return 0;
+}
+
+static int zcolumnsumaTest(void) {
+  int i = 0;
+  doubleComplex in[12];
+  doubleComplex columnSummedIn_4_3[4];
+  doubleComplex columnSummedIn_3_4[3];
+  doubleComplex columnSummedIn_6_2[6];
+  doubleComplex columnSummedIn_2_6[2];
+  doubleComplex columnSummedIn_1_12[1];
+  doubleComplex columnSummedIn_12_1[12];
+
+  printf("\n>>>> ColumnSum Double Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  zcolumnsuma(in, 4, 3, columnSummedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnSummedIn_4_3[%d] = %e + %ei\n", i, zreals(columnSummedIn_4_3[i]), zimags(columnSummedIn_4_3[i]));
+  }
+  assert(fabs(zreals(columnSummedIn_4_3[0]) - 1.2) < 1e-15);
+  assert(zimags(columnSummedIn_4_3[0]) == 2.1);
+  assert(zreals(columnSummedIn_4_3[1]) == 1.5 && zimags(columnSummedIn_4_3[1]) == 1.8);
+  assert(zreals(columnSummedIn_4_3[2]) == 1.8 && zimags(columnSummedIn_4_3[2]) == 1.5);
+  assert(zreals(columnSummedIn_4_3[3]) == 2.1);
+  assert(fabs(zimags(columnSummedIn_4_3[3]) - 1.2) < 1e-15);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  zcolumnsuma(in, 3, 4, columnSummedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnSummedIn_3_4[%d] = %e + %ei\n", i, zreals(columnSummedIn_3_4[i]), zimags(columnSummedIn_3_4[i]));
+  }
+  assert(fabs(zreals(columnSummedIn_3_4[0]) - 1.8) < 1e-15);
+  assert(fabs(zimags(columnSummedIn_3_4[0]) - 2.6) < 1e-15);
+  assert(zreals(columnSummedIn_3_4[1]) == 2.2 && zimags(columnSummedIn_3_4[1]) == 2.2);
+  assert(zreals(columnSummedIn_3_4[2]) == 2.6 && zimags(columnSummedIn_3_4[2]) == 1.8);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  zcolumnsuma(in, 6, 2, columnSummedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnSummedIn_6_2[%d] = %e + %ei\n", i, zreals(columnSummedIn_6_2[i]), zimags(columnSummedIn_6_2[i]));
+  }
+  assert(zreals(columnSummedIn_6_2[0]) == 0.6 && zimags(columnSummedIn_6_2[0]) == 1.6);
+  assert(fabs(zreals(columnSummedIn_6_2[1]) - 0.8) < 1e-15);
+  assert(zimags(columnSummedIn_6_2[1]) == 1.4);
+  assert(zreals(columnSummedIn_6_2[2]) == 1.0 && zimags(columnSummedIn_6_2[2]) == 1.2);
+  assert(zreals(columnSummedIn_6_2[3]) == 1.2 && zimags(columnSummedIn_6_2[3]) == 1.0);
+  assert(zreals(columnSummedIn_6_2[4]) == 1.4);
+  assert(fabs(zimags(columnSummedIn_6_2[4]) - 0.8) < 1e-15);
+  assert(zreals(columnSummedIn_6_2[5]) == 1.6 && zimags(columnSummedIn_6_2[5]) == 0.6);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 3+3.6i 3.6+3i ]
+  */
+  zcolumnsuma(in, 2, 6, columnSummedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnSummedIn_2_6[%d] = %e + %ei\n", i, zreals(columnSummedIn_2_6[i]), zimags(columnSummedIn_2_6[i]));
+  }
+  assert(zreals(columnSummedIn_2_6[0]) == 3.0 && zimags(columnSummedIn_2_6[0]) == 3.6);
+  assert(zreals(columnSummedIn_2_6[1]) == 3.6 && zimags(columnSummedIn_2_6[1]) == 3.0);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 6.6+6.6i ]
+  */
+  zcolumnsuma(in, 1, 12, columnSummedIn_1_12);
+  printf("columnSummedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnSummedIn_1_12[0]), zimags(columnSummedIn_1_12[0]));
+  assert(zreals(columnSummedIn_1_12[0]) == 6.6 && zimags(columnSummedIn_1_12[0]) == 6.6);
+
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  zcolumnsuma(in, 12, 1, columnSummedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnSummedIn_12_1[%d] = %e + %ei\n", i, zreals(columnSummedIn_12_1[i]), zimags(columnSummedIn_12_1[i]));
+   assert(zreals(columnSummedIn_12_1[i]) == zreals(in[i]) && zimags(columnSummedIn_12_1[i]) == zimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testSum(void) {
+
+  dsumsTest();
+  dsumaTest();
+  drowsumaTest();
+  dcolumnsumaTest();
+  zsumsTest();
+  zsumaTest();
+  zrowsumaTest();
+  zcolumnsumaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testSum() == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/sum/testFloatSum.c b/src/c/statisticsFunctions/sum/testFloatSum.c
new file mode 100644
index 0000000..090075c
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/testFloatSum.c
@@ -0,0 +1,481 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "sum.h"
+
+/* #define LOCAL_DEBUG */
+
+static int ssumsTest(void) {
+  float value1 = 3.0f;
+  float value2 = 1.123456789f;
+
+  printf("\n>>>> Sum Float Scalar Test\n");
+  assert(ssums(value1) == 3.0f);
+  assert(ssums(value2) == 1.123456789f);
+
+  return 0;
+}
+
+static int ssumaTest(void) {
+  float table1[3] = {3.0f, 3.0f, 3.0f};
+  float table2[5] = {9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f,
+		     9.186784563f};
+
+  printf("\n>>>> Sum Float Array Test\n");
+  assert(ssuma(table1, 3) == 9.0f);
+  assert((ssuma(table2, 5) - (9.186784f + 9.186784f + 9.186784f + 9.186784f + 9.186784f)) / ssuma(table2, 5) < 1e-6);
+  return 0;
+}
+
+static int scolumnsumaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float columnSummedTable1_3_3[3] = {0};
+  float columnSummedTable1_1_9[1] = {0};
+  float columnSummedTable1_9_1[9] = {0};
+  float columnSummedTable2_2_5[2] = {0};
+  float columnSummedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Sum Float Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 6 15 24 ]
+    [ 7 8 9 ]
+  */
+  scolumnsuma(table1, 3, 3,columnSummedTable1_3_3);
+  assert(columnSummedTable1_3_3[0] == 6.0f);
+  assert(columnSummedTable1_3_3[1] == 15.0f);
+  assert(columnSummedTable1_3_3[2] == 24.0f);
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  scolumnsuma(table1, 1, 9,columnSummedTable1_1_9);
+  assert(columnSummedTable1_1_9[0] == 45.0f);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  scolumnsuma(table1, 9, 1,columnSummedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnSummedTable1_9_1[%d] = %e\n", i, columnSummedTable1_9_1[i]);
+    assert(columnSummedTable1_9_1[i] == table1[i]);
+  }
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 25 30 ]
+  */
+  scolumnsuma(table2, 2, 5,columnSummedTable2_2_5);
+  assert(columnSummedTable2_2_5[0] == 25.0f);
+  assert(columnSummedTable2_2_5[1] == 30.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnSummedTable2_2_5[%d] = %e\n", i, columnSummedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 7 9 11 13 15 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  scolumnsuma(table2, 5, 2,columnSummedTable2_5_2);
+  assert(columnSummedTable2_5_2[0] == 7.0f);
+  assert(columnSummedTable2_5_2[1] == 9.0f);
+  assert(columnSummedTable2_5_2[2] == 11.0f);
+  assert(columnSummedTable2_5_2[3] == 13.0f);
+  assert(columnSummedTable2_5_2[4] == 15.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnSummedTable2_5_2[%d] = %e\n", i, columnSummedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int srowsumaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float rowSummedTable1_3_3[3] = {0};
+  float rowSummedTable1_1_9[9] = {0};
+  float rowSummedTable1_9_1[1] = {0};
+  float rowSummedTable2_2_5[5] = {0};
+  float rowSummedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Sum Float Array Test\n");
+  /*
+    [ 1 2 3 ]
+    [ 4 5 6 ] => [ 12 15 18 ]
+    [ 7 8 9 ]
+  */
+  srowsuma(table1, 3, 3,rowSummedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowSummedTable1_3_3[%d] = %e\n", i, rowSummedTable1_3_3[i]);
+  }
+  assert(rowSummedTable1_3_3[0] == 12.0f);
+  assert(rowSummedTable1_3_3[1] == 15.0f);
+  assert(rowSummedTable1_3_3[2] == 18.0f);
+
+  /*
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  */
+  srowsuma(table1, 1, 9,rowSummedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowSummedTable1_1_9[%d] = %e\n", i, rowSummedTable1_1_9[i]);
+    assert(rowSummedTable1_1_9[i] == table1[i]);
+  }
+
+  /*
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  */
+  srowsuma(table1, 9, 1,rowSummedTable1_9_1);
+  assert(rowSummedTable1_9_1[0] == 45.0f);
+
+  /*
+    [ 1 3 5 7  9 ]
+    [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ]
+  */
+  srowsuma(table2, 2, 5,rowSummedTable2_2_5);
+  assert(rowSummedTable2_2_5[0] == 3.0f);
+  assert(rowSummedTable2_2_5[1] == 7.0f);
+  assert(rowSummedTable2_2_5[2] == 11.0f);
+  assert(rowSummedTable2_2_5[3] == 15.0f);
+  assert(rowSummedTable2_2_5[4] == 19.0f);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowSummedTable2_2_5[%d] = %e\n", i, rowSummedTable2_2_5[i]);
+  }
+
+  /*
+    [ 1  6 ]
+    [ 2  7 ] => [ 15 40 ]
+    [ 3  8 ]
+    [ 4  9 ]
+    [ 5 10 ]
+  */
+  srowsuma(table2, 5, 2,rowSummedTable2_5_2);
+  assert(rowSummedTable2_5_2[0] == 15.0f);
+  assert(rowSummedTable2_5_2[1] == 40.0f);
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("rowSummedTable2_5_2[%d] = %e\n", i, rowSummedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+
+static int csumsTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f);
+
+  printf("\n>>>> Sum Float Complex Scalar Test\n");
+  assert(creals(csums(value1)) == 3.0f);
+  assert(cimags(csums(value1)) == 3.0f);
+  assert(creals(csums(value2)) == 1.123456789f);
+  assert(cimags(csums(value2)) == 1.123456789f);
+  return 0;
+}
+
+static int csumaTest(void) {
+  floatComplex value1 = FloatComplex(3.0f, 3.0f);
+  floatComplex table1[3];
+  floatComplex value2 = FloatComplex(9.186784563f,9.186784563f);
+  floatComplex table2[5];
+
+  printf("\n>>>> Sum Float Complex Array Test\n");
+  table1[0] = value1;
+  table1[1] = value1;
+  table1[2] = value1;
+
+  table2[0] = value2;
+  table2[1] = value2;
+  table2[2] = value2;
+  table2[3] = value2;
+  table2[4] = value2;
+
+#ifdef LOCAL_DEBUG
+  printf("--------\n");
+  printf("%e\n", cimags(csuma(table1, 3)));
+  printf("%e\n", creals(csuma(table2, 5)));
+  printf("%e\n", cimags(csuma(table2, 5)));
+  printf("%e\n", creals(csuma(table2, 5)));
+  printf("%e\n", cimags(csuma(table2, 5)));
+  printf("--------\n");
+#endif
+  assert(creals(csuma(table1, 3)) == 9.0f);
+  assert(cimags(csuma(table1, 3)) == 9.0f);
+  assert(creals(csuma(table2, 5)) == 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f);
+  assert(cimags(csuma(table2, 5)) == 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f);
+
+  return 0;
+}
+
+static int crowsumaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex rowSummedIn_4_3[3];
+  floatComplex rowSummedIn_3_4[4];
+  floatComplex rowSummedIn_6_2[2];
+  floatComplex rowSummedIn_2_6[6];
+  floatComplex rowSummedIn_1_12[12];
+  floatComplex rowSummedIn_12_1[1];
+
+  printf("\n>>>> Row Sum Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  crowsuma(in, 4, 3, rowSummedIn_4_3);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("rowSummedIn_4_3[%d] = %e + %ei\n", i, creals(rowSummedIn_4_3[i]), cimags(rowSummedIn_4_3[i]));
+  }
+  assert(creals(rowSummedIn_4_3[0]) == 0.6f && cimags(rowSummedIn_4_3[0]) == 3.8f);
+  assert(creals(rowSummedIn_4_3[1]) == 2.2f && cimags(rowSummedIn_4_3[1]) == 2.2f);
+  assert(fabs(creals(rowSummedIn_4_3[2]) - 3.8f) < 1e-06);
+  assert(cimags(rowSummedIn_4_3[2]) == 0.6f);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  crowsuma(in, 3, 4, rowSummedIn_3_4);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("rowSummedIn_3_4[%d] = %e + %ei\n", i, creals(rowSummedIn_3_4[i]), cimags(rowSummedIn_3_4[i]));
+  }
+  assert(creals(rowSummedIn_3_4[0]) == 0.3f && cimags(rowSummedIn_3_4[0]) == 3.0f);
+  assert(creals(rowSummedIn_3_4[1]) == 1.2f && cimags(rowSummedIn_3_4[1]) == 2.1f);
+  assert(creals(rowSummedIn_3_4[2]) == 2.1f && cimags(rowSummedIn_3_4[2]) == 1.2f);
+  assert(creals(rowSummedIn_3_4[3]) == 3.0f && cimags(rowSummedIn_3_4[3]) == 0.3f);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  crowsuma(in, 6, 2, rowSummedIn_6_2);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("rowSummedIn_6_2[%d] = %e + %ei\n", i, creals(rowSummedIn_6_2[i]), cimags(rowSummedIn_6_2[i]));
+  }
+  assert(creals(rowSummedIn_6_2[0]) == 1.5f && cimags(rowSummedIn_6_2[0]) == 5.1f);
+  assert(creals(rowSummedIn_6_2[1]) == 5.1f);
+  assert(fabs(cimags(rowSummedIn_6_2[1]) - 1.5f) < 1e-06);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ]
+  */
+  crowsuma(in, 2, 6, rowSummedIn_2_6);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("rowSummedIn_2_6[%d] = %e + %ei\n", i, creals(rowSummedIn_2_6[i]), cimags(rowSummedIn_2_6[i]));
+  }
+  assert(creals(rowSummedIn_2_6[0]) == 0.1f && cimags(rowSummedIn_2_6[0]) == 2.1f);
+  assert(creals(rowSummedIn_2_6[1]) == 0.5f && cimags(rowSummedIn_2_6[1]) == 1.7f);
+  assert(creals(rowSummedIn_2_6[2]) == 0.9f && cimags(rowSummedIn_2_6[2]) == 1.3f);
+  assert(creals(rowSummedIn_2_6[3]) == 1.3f && cimags(rowSummedIn_2_6[3]) == 0.9f);
+  assert(creals(rowSummedIn_2_6[4]) == 1.7f && cimags(rowSummedIn_2_6[4]) == 0.5f);
+  assert(creals(rowSummedIn_2_6[5]) == 2.1f && cimags(rowSummedIn_2_6[5]) == 0.1f);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+  */
+  crowsuma(in, 1, 12, rowSummedIn_1_12);
+  for (i = 0 ; i < 12 ; ++i) {
+    printf("rowSummedIn_1_12[%d] = %e + %ei\n", i, creals(rowSummedIn_1_12[i]), cimags(rowSummedIn_1_12[i]));
+    assert(creals(rowSummedIn_1_12[i]) == creals(in[i]) && cimags(rowSummedIn_1_12[i]) == cimags(in[i]));
+  }
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] => [ 6.6+6.6i ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  crowsuma(in, 12, 1, rowSummedIn_12_1);
+  printf("rowSummedIn_12_1[%d] = %e + %ei\n", 0, creals(rowSummedIn_12_1[0]), cimags(rowSummedIn_12_1[0]));
+  assert(creals(rowSummedIn_12_1[0]) == 6.6f && cimags(rowSummedIn_12_1[0]) == 6.6f);
+
+  return 0;
+}
+
+static int ccolumnsumaTest(void) {
+  int i = 0;
+  floatComplex in[12];
+  floatComplex columnSummedIn_4_3[4];
+  floatComplex columnSummedIn_3_4[3];
+  floatComplex columnSummedIn_6_2[6];
+  floatComplex columnSummedIn_2_6[2];
+  floatComplex columnSummedIn_1_12[1];
+  floatComplex columnSummedIn_12_1[12];
+
+  printf("\n>>>> ColumnSum Float Complex Array Test\n");
+  /* Init input var */
+  for (i = 0 ; i < 12 ; ++i)
+    {
+      in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f);
+    }
+
+  /*
+    [ 1.1i     0.4+0.7i 0.8+0.3i ]
+    [ 0.1+i    0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ]
+    [ 0.2+0.9i 0.6+0.5i 1+0.1i   ]
+    [ 0.3+0.8i 0.7+0.4i 1.1      ]
+  */
+  ccolumnsuma(in, 4, 3, columnSummedIn_4_3);
+  for (i = 0 ; i < 4 ; ++i) {
+    printf("columnSummedIn_4_3[%d] = %e + %ei\n", i, creals(columnSummedIn_4_3[i]), cimags(columnSummedIn_4_3[i]));
+  }
+  assert(creals(columnSummedIn_4_3[0]) == 1.2f && cimags(columnSummedIn_4_3[0]) == 2.1f);
+  assert(creals(columnSummedIn_4_3[1]) == 1.5f);
+  assert(fabs(cimags(columnSummedIn_4_3[1]) - 1.8f) < 1e-06);
+  assert(creals(columnSummedIn_4_3[2]) == 1.8f && cimags(columnSummedIn_4_3[2]) == 1.5f);
+  assert(creals(columnSummedIn_4_3[3]) == 2.1f && cimags(columnSummedIn_4_3[3]) == 1.2f);
+
+  /*
+    [ 1.1i     0.3+0.8i  0.6+0.5i 0.9+0.2i ]
+    [ 0.1+i    0.4+0.7i  0.7+0.4i 1+0.1i   ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ]
+    [ 0.2+0.9i 0.5+0.6i  0.8+0.3i 1.1      ]
+  */
+  ccolumnsuma(in, 3, 4, columnSummedIn_3_4);
+  for (i = 0 ; i < 3 ; ++i) {
+    printf("columnSummedIn_3_4[%d] = %e + %ei\n", i, creals(columnSummedIn_3_4[i]), cimags(columnSummedIn_3_4[i]));
+  }
+  assert(creals(columnSummedIn_3_4[0]) == 1.8f);
+  assert(fabs(cimags(columnSummedIn_3_4[0]) - 2.6f) < 1e-06);
+  assert(creals(columnSummedIn_3_4[1]) == 2.2f && cimags(columnSummedIn_3_4[1]) == 2.2f);
+  assert(creals(columnSummedIn_3_4[2]) == 2.6f && cimags(columnSummedIn_3_4[2]) == 1.8f);
+
+  /*
+    [ 1.1i     0.6+0.5i ]
+    [ 0.1+i    0.7+0.4i ]
+    [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ]
+    [ 0.3+0.8i 0.9+0.2i ]
+    [ 0.4+0.7i 1+0.1i   ]
+    [ 0.5+0.6i 1.1      ]
+  */
+  ccolumnsuma(in, 6, 2, columnSummedIn_6_2);
+  for (i = 0 ; i < 6 ; ++i) {
+    printf("columnSummedIn_6_2[%d] = %e + %ei\n", i, creals(columnSummedIn_6_2[i]), cimags(columnSummedIn_6_2[i]));
+  }
+  assert(creals(columnSummedIn_6_2[0]) == 0.6f && cimags(columnSummedIn_6_2[0]) == 1.6f);
+  assert(creals(columnSummedIn_6_2[1]) == 0.8f && cimags(columnSummedIn_6_2[1]) == 1.4f);
+  assert(creals(columnSummedIn_6_2[2]) == 1.0f && cimags(columnSummedIn_6_2[2]) == 1.2f);
+  assert(creals(columnSummedIn_6_2[3]) == 1.2f && cimags(columnSummedIn_6_2[3]) == 1.0f);
+  assert(creals(columnSummedIn_6_2[4]) == 1.4f && cimags(columnSummedIn_6_2[4]) == 0.8f);
+  assert(creals(columnSummedIn_6_2[5]) == 1.6f && cimags(columnSummedIn_6_2[5]) == 0.6f);
+
+  /*
+    [ 1.1i  0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ]
+    [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1    ] => [ 3+3.6i 3.6+3i ]
+  */
+  ccolumnsuma(in, 2, 6, columnSummedIn_2_6);
+  for (i = 0 ; i < 2 ; ++i) {
+    printf("columnSummedIn_2_6[%d] = %e + %ei\n", i, creals(columnSummedIn_2_6[i]), cimags(columnSummedIn_2_6[i]));
+  }
+  assert(creals(columnSummedIn_2_6[0]) == 3.0f && cimags(columnSummedIn_2_6[0]) == 3.6f);
+  assert(creals(columnSummedIn_2_6[1]) == 3.6f);
+  assert(fabs(cimags(columnSummedIn_2_6[1]) -3.0f) < 1e-06);
+
+  /*
+    [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    =>
+    [ 6.6+6.6i ]
+  */
+  ccolumnsuma(in, 1, 12, columnSummedIn_1_12);
+  printf("columnSummedIn_1_12[%d] = %e + %ei\n", 0, creals(columnSummedIn_1_12[0]), cimags(columnSummedIn_1_12[0]));
+  assert(creals(columnSummedIn_1_12[0]) == 6.6f && cimags(columnSummedIn_1_12[0]) == 6.6f);
+
+
+  /*
+    [ 1.1i     ]
+    [ 0.1+i    ]
+    [ 0.2+0.9i ]
+    [ 0.3+0.8i ]
+    [ 0.4+0.7i ]
+    [ 0.5+0.6i ]
+    [ 0.6+0.5i ] =>     [ 1.1i 0.1+i 0.2+0.9i  0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ]
+    [ 0.7+0.4i ]
+    [ 0.8+0.3i ]
+    [ 0.9+0.2i ]
+    [ 1+0.1i   ]
+    [ 1.1      ]
+  */
+  ccolumnsuma(in, 12, 1, columnSummedIn_12_1);
+ for (i = 0 ; i < 12 ; ++i) {
+   printf("columnSummedIn_12_1[%d] = %e + %ei\n", i, creals(columnSummedIn_12_1[i]), cimags(columnSummedIn_12_1[i]));
+   assert(creals(columnSummedIn_12_1[i]) == creals(in[i]) && cimags(columnSummedIn_12_1[i]) == cimags(in[i]));
+ }
+
+  return 0;
+}
+
+static int testSum(void) {
+
+  ssumsTest();
+  ssumaTest();
+  srowsumaTest();
+  scolumnsumaTest();
+  csumsTest();
+  csumaTest();
+  crowsumaTest();
+  ccolumnsumaTest();
+
+  return 0;
+}
+
+int main(void) {
+  assert(testSum() == 0);
+  return 0;
+}
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new file mode 100644
index 0000000..d82ed7c
--- /dev/null
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@@ -0,0 +1,178 @@
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new file mode 100644
index 0000000..0bb90bb
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new file mode 100644
index 0000000..a8acdf0
--- /dev/null
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+  </ItemDefinitionGroup>

+  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">

+    <ClCompile>

+      <Optimization>MaxSpeed</Optimization>

+      <IntrinsicFunctions>true</IntrinsicFunctions>

+      <AdditionalIncludeDirectories>../../../includes;../../../operations/includes;../../../type;../../includes;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>

+      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>

+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>

+      <FunctionLevelLinking>true</FunctionLevelLinking>

+      <PrecompiledHeader>

+      </PrecompiledHeader>

+      <WarningLevel>Level3</WarningLevel>

+      <DebugInformationFormat>ProgramDatabase</DebugInformationFormat>

+    </ClCompile>

+    <Link>

+      <OutputFile>$(SolutionDir)bin\$(ProjectName).exe</OutputFile>

+      <GenerateDebugInformation>true</GenerateDebugInformation>

+      <SubSystem>Console</SubSystem>

+      <OptimizeReferences>true</OptimizeReferences>

+      <EnableCOMDATFolding>true</EnableCOMDATFolding>

+    </Link>

+  </ItemDefinitionGroup>

+  <ItemGroup>

+    <ClCompile Include="..\testFloatSum.c">

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">CompileAsCpp</CompileAs>

+    </ClCompile>

+  </ItemGroup>

+  <ItemGroup>

+    <ProjectReference Include="..\..\..\type\type.vcxproj">

+      <Project>{9b1bd750-1fef-4d6b-9422-782d16181cee}</Project>

+      <ReferenceOutputAssembly>false</ReferenceOutputAssembly>

+    </ProjectReference>

+    <ProjectReference Include="..\..\statisticsFunctions.vcxproj">

+      <Project>{e11ed064-3bf2-4f70-b66e-3223c737ec60}</Project>

+      <ReferenceOutputAssembly>false</ReferenceOutputAssembly>

+    </ProjectReference>

+  </ItemGroup>

+  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />

+  <ImportGroup Label="ExtensionTargets">

+  </ImportGroup>

+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/sum/test_FloatSum/testFloatSum.vcxproj.filters b/src/c/statisticsFunctions/sum/test_FloatSum/testFloatSum.vcxproj.filters
new file mode 100644
index 0000000..56ce3b3
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/test_FloatSum/testFloatSum.vcxproj.filters
@@ -0,0 +1,22 @@
+<?xml version="1.0" encoding="utf-8"?>

+<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">

+  <ItemGroup>

+    <Filter Include="Source Files">

+      <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>

+      <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>

+    </Filter>

+    <Filter Include="Header Files">

+      <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>

+      <Extensions>h;hpp;hxx;hm;inl;inc;xsd</Extensions>

+    </Filter>

+    <Filter Include="Resource Files">

+      <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>

+      <Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav</Extensions>

+    </Filter>

+  </ItemGroup>

+  <ItemGroup>

+    <ClCompile Include="..\testFloatSum.c">

+      <Filter>Source Files</Filter>

+    </ClCompile>

+  </ItemGroup>

+</Project>
\ No newline at end of file
diff --git a/src/c/statisticsFunctions/sum/u16columnsuma.c b/src/c/statisticsFunctions/sum/u16columnsuma.c
new file mode 100644
index 0000000..82b0775
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u16columnsuma.c
@@ -0,0 +1,35 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+
+#include "sum.h"
+
+void u16columnsuma(uint16 *in, int lines, int columns, uint16 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = (uint16)in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = (uint16)u16adds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/u16rowsuma.c b/src/c/statisticsFunctions/sum/u16rowsuma.c
new file mode 100644
index 0000000..535e302
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u16rowsuma.c
@@ -0,0 +1,34 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "sum.h"
+
+void u16rowsuma(uint16 *in, int lines, int columns, uint16 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = (uint16)in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = (uint16)u16adds( out[(i - 1) % columns] ,
+				     in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/u16suma.c b/src/c/statisticsFunctions/sum/u16suma.c
new file mode 100644
index 0000000..5e5620c
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u16suma.c
@@ -0,0 +1,25 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+#include "sum.h"
+
+uint16 u16suma(uint16 *in, int size) {
+  //floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+  int i = 0;
+  uint16 accumulate = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = u16adds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/sum/u8columnsuma.c b/src/c/statisticsFunctions/sum/u8columnsuma.c
new file mode 100644
index 0000000..f3e3041
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u8columnsuma.c
@@ -0,0 +1,34 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void u8columnsuma(uint8 *in, int lines, int columns, uint8 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = (uint8)in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = (uint8)u8adds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/u8rowsuma.c b/src/c/statisticsFunctions/sum/u8rowsuma.c
new file mode 100644
index 0000000..53a4944
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u8rowsuma.c
@@ -0,0 +1,35 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+void u8rowsuma(uint8 *in, int lines, int columns, uint8 * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = (uint8)in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = (uint8)u8adds( out[(i - 1) % columns] ,
+				      in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/u8suma.c b/src/c/statisticsFunctions/sum/u8suma.c
new file mode 100644
index 0000000..e5febef
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/u8suma.c
@@ -0,0 +1,26 @@
+/* Copyright (C) 2016 - IIT Bombay - FOSSEE
+
+ This file must be used under the terms of the CeCILL.
+ This source file is licensed as described in the file COPYING, which
+ you should have received as part of this distribution.  The terms
+ are also available at
+ http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ Author: Siddhesh Wani
+ Organization: FOSSEE, IIT Bombay
+ Email: toolbox@scilab.in
+*/
+
+
+#include "sum.h"
+
+uint8 u8suma(uint8 *in, int size) {
+   //floatComplex accumulate = FloatComplex(0.0f, 0.0f);
+   int i = 0;
+   uint8 accumulate = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = u8adds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/sum/zcolumnsuma.c b/src/c/statisticsFunctions/sum/zcolumnsuma.c
new file mode 100644
index 0000000..93e9753
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/zcolumnsuma.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void zcolumnsuma(doubleComplex *in, int lines, int columns, doubleComplex * out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < lines; ++i)
+    {
+      out[i] = in[i];
+    }
+  /*
+  ** Then accumulate in each row.
+  */
+  for (i = lines ; i < lines * columns ; ++i)
+    {
+      out[i % lines] = zadds(out[i % lines] , in[i]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/zrowsuma.c b/src/c/statisticsFunctions/sum/zrowsuma.c
new file mode 100644
index 0000000..abb62b5
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/zrowsuma.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+void zrowsuma(doubleComplex *in, int lines, int columns, doubleComplex* out) {
+  int i = 0;
+
+  /*
+  ** First assign first row, just in case
+  ** out contains non-zero's elements.
+  */
+  for (i = 0 ; i < columns; ++i)
+    {
+      out[i] = in[i * lines];
+    }
+  /*
+  ** Then accumulate in each column.
+  */
+  for (i = 1 ; i <= (lines - 1) * columns ; ++i)
+    {
+      out[(i - 1) % columns] = zadds(out[(i - 1) % columns] ,
+	in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]);
+    }
+}
diff --git a/src/c/statisticsFunctions/sum/zsuma.c b/src/c/statisticsFunctions/sum/zsuma.c
new file mode 100644
index 0000000..e566c95
--- /dev/null
+++ b/src/c/statisticsFunctions/sum/zsuma.c
@@ -0,0 +1,24 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "sum.h"
+
+doubleComplex zsuma(doubleComplex *in, int size) {
+  doubleComplex accumulate = DoubleComplex(0.0f, 0.0f);
+  int i = 0;
+
+  for (i = 0; i < size; ++i)
+    {
+      accumulate = zadds(accumulate, in[i]);
+    }
+  return accumulate;
+}
diff --git a/src/c/statisticsFunctions/variance/Makefile.am b/src/c/statisticsFunctions/variance/Makefile.am
new file mode 100644
index 0000000..d6fa70e
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/Makefile.am
@@ -0,0 +1,89 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libVariance_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libVariance.la
+
+libVariance_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	svariancea.c \
+		scolumnvariancea.c \
+		dvariancea.c \
+		srowvariancea.c \
+		drowvariancea.c \
+		dcolumnvariancea.c \
+		cvariancea.c \
+		crowvariancea.c \
+		ccolumnvariancea.c \
+		zvariancea.c \
+		zrowvariancea.c \
+		zcolumnvariancea.c
+
+HEAD	=	../includes/variance.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/statisticsFunctions/variance/libVariance.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatVarianceNono testDoubleVarianceNono
+
+TESTS		=	testFloatVarianceNono testDoubleVarianceNono
+
+#
+# -*- Variance Tests -*-
+#
+testFloatVarianceNono_SOURCES = testFloatVarianceNono.c
+testFloatVarianceNono_CFLAGS =	$(check_INCLUDES)
+testFloatVarianceNono_LDADD =	$(check_LDADD)
+
+testDoubleVarianceNono_SOURCES =testDoubleVarianceNono.c
+testDoubleVarianceNono_CFLAGS =	$(check_INCLUDES)
+testDoubleVarianceNono_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/variance/Makefile.in b/src/c/statisticsFunctions/variance/Makefile.in
new file mode 100644
index 0000000..9320286
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/Makefile.in
@@ -0,0 +1,884 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
+VPATH = @srcdir@
+pkgdatadir = $(datadir)/@PACKAGE@
+pkgincludedir = $(includedir)/@PACKAGE@
+pkglibdir = $(libdir)/@PACKAGE@
+pkglibexecdir = $(libexecdir)/@PACKAGE@
+am__cd = CDPATH="$${ZSH_VERSION+.}$(PATH_SEPARATOR)" && cd
+install_sh_DATA = $(install_sh) -c -m 644
+install_sh_PROGRAM = $(install_sh) -c
+install_sh_SCRIPT = $(install_sh) -c
+INSTALL_HEADER = $(INSTALL_DATA)
+transform = $(program_transform_name)
+NORMAL_INSTALL = :
+PRE_INSTALL = :
+POST_INSTALL = :
+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatVarianceNono$(EXEEXT) \
+	testDoubleVarianceNono$(EXEEXT)
+TESTS = testFloatVarianceNono$(EXEEXT) testDoubleVarianceNono$(EXEEXT)
+subdir = src/c/statisticsFunctions/variance
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
+ACLOCAL_M4 = $(top_srcdir)/aclocal.m4
+am__aclocal_m4_deps = $(top_srcdir)/configure.ac
+am__configure_deps = $(am__aclocal_m4_deps) $(CONFIGURE_DEPENDENCIES) \
+	$(ACLOCAL_M4)
+mkinstalldirs = $(install_sh) -d
+CONFIG_HEADER = $(top_builddir)/includes/machine.h
+CONFIG_CLEAN_FILES =
+CONFIG_CLEAN_VPATH_FILES =
+am__vpath_adj_setup = srcdirstrip=`echo "$(srcdir)" | sed 's|.|.|g'`;
+am__vpath_adj = case $$p in \
+    $(srcdir)/*) f=`echo "$$p" | sed "s|^$$srcdirstrip/||"`;; \
+    *) f=$$p;; \
+  esac;
+am__strip_dir = f=`echo $$p | sed -e 's|^.*/||'`;
+am__install_max = 40
+am__nobase_strip_setup = \
+  srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*|]/\\\\&/g'`
+am__nobase_strip = \
+  for p in $$list; do echo "$$p"; done | sed -e "s|$$srcdirstrip/||"
+am__nobase_list = $(am__nobase_strip_setup); \
+  for p in $$list; do echo "$$p $$p"; done | \
+  sed "s| $$srcdirstrip/| |;"' / .*\//!s/ .*/ ./; s,\( .*\)/[^/]*$$,\1,' | \
+  $(AWK) 'BEGIN { files["."] = "" } { files[$$2] = files[$$2] " " $$1; \
+    if (++n[$$2] == $(am__install_max)) \
+      { print $$2, files[$$2]; n[$$2] = 0; files[$$2] = "" } } \
+    END { for (dir in files) print dir, files[dir] }'
+am__base_list = \
+  sed '$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;$$!N;s/\n/ /g' | \
+  sed '$$!N;$$!N;$$!N;$$!N;s/\n/ /g'
+am__installdirs = "$(DESTDIR)$(pkglibdir)"
+LTLIBRARIES = $(pkglib_LTLIBRARIES)
+libVariance_la_LIBADD =
+am__objects_1 =
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+	libVariance_la-scolumnvariancea.lo \
+	libVariance_la-dvariancea.lo libVariance_la-srowvariancea.lo \
+	libVariance_la-drowvariancea.lo \
+	libVariance_la-dcolumnvariancea.lo \
+	libVariance_la-cvariancea.lo libVariance_la-crowvariancea.lo \
+	libVariance_la-ccolumnvariancea.lo \
+	libVariance_la-zvariancea.lo libVariance_la-zrowvariancea.lo \
+	libVariance_la-zcolumnvariancea.lo
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) $(libVariance_la_CFLAGS) \
+	$(CFLAGS) $(AM_LDFLAGS) $(LDFLAGS) -o $@
+am_testDoubleVarianceNono_OBJECTS =  \
+	testDoubleVarianceNono-testDoubleVarianceNono.$(OBJEXT)
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+	$(top_builddir)/src/c/type/libFloatComplex.la \
+	$(top_builddir)/src/c/operations/addition/libAddition.la \
+	$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+	$(top_builddir)/src/fortran/lapack/libscilapack.la \
+	$(top_builddir)/src/c/statisticsFunctions/variance/libVariance.la \
+	$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+	$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+	$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+	$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+	$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+	$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+	$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+	$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+	$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+	$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+	$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+	$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+	$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+	$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+	$(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+	$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+	$(top_builddir)/src/c/operations/division/libDivision.la \
+	$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) \
+	$(testDoubleVarianceNono_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
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+	$(LIBTOOLFLAGS) --mode=link $(CCLD) \
+	$(testFloatVarianceNono_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
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+	--mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) \
+	$(AM_CPPFLAGS) $(CPPFLAGS) $(AM_CFLAGS) $(CFLAGS)
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+	--mode=link $(CCLD) $(AM_CFLAGS) $(CFLAGS) $(AM_LDFLAGS) \
+	$(LDFLAGS) -o $@
+SOURCES = $(libVariance_la_SOURCES) $(testDoubleVarianceNono_SOURCES) \
+	$(testFloatVarianceNono_SOURCES)
+DIST_SOURCES = $(libVariance_la_SOURCES) \
+	$(testDoubleVarianceNono_SOURCES) \
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+target_alias = @target_alias@
+top_build_prefix = @top_build_prefix@
+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libVariance_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libVariance.la
+libVariance_la_SOURCES = $(HEAD) $(SRC)
+SRC = svariancea.c \
+		scolumnvariancea.c \
+		dvariancea.c \
+		srowvariancea.c \
+		drowvariancea.c \
+		dcolumnvariancea.c \
+		cvariancea.c \
+		crowvariancea.c \
+		ccolumnvariancea.c \
+		zvariancea.c \
+		zrowvariancea.c \
+		zcolumnvariancea.c
+
+HEAD = ../includes/variance.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/statisticsFunctions/variance/libVariance.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/mean/libMean.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+
+#
+# -*- Variance Tests -*-
+#
+testFloatVarianceNono_SOURCES = testFloatVarianceNono.c
+testFloatVarianceNono_CFLAGS = $(check_INCLUDES)
+testFloatVarianceNono_LDADD = $(check_LDADD)
+testDoubleVarianceNono_SOURCES = testDoubleVarianceNono.c
+testDoubleVarianceNono_CFLAGS = $(check_INCLUDES)
+testDoubleVarianceNono_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
+.SUFFIXES: .c .lo .o .obj
+$(srcdir)/Makefile.in: @MAINTAINER_MODE_TRUE@ $(srcdir)/Makefile.am  $(am__configure_deps)
+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
+	      ( cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh ) \
+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
+	  esac; \
+	done; \
+	echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/variance/Makefile'; \
+	$(am__cd) $(top_srcdir) && \
+	  $(AUTOMAKE) --foreign src/c/statisticsFunctions/variance/Makefile
+.PRECIOUS: Makefile
+Makefile: $(srcdir)/Makefile.in $(top_builddir)/config.status
+	@case '$?' in \
+	  *config.status*) \
+	    cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh;; \
+	  *) \
+	    echo ' cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe)'; \
+	    cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe);; \
+	esac;
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+$(top_builddir)/config.status: $(top_srcdir)/configure $(CONFIG_STATUS_DEPENDENCIES)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
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+$(top_srcdir)/configure: @MAINTAINER_MODE_TRUE@ $(am__configure_deps)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
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+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+$(am__aclocal_m4_deps):
+install-pkglibLTLIBRARIES: $(pkglib_LTLIBRARIES)
+	@$(NORMAL_INSTALL)
+	test -z "$(pkglibdir)" || $(MKDIR_P) "$(DESTDIR)$(pkglibdir)"
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	list2=; for p in $$list; do \
+	  if test -f $$p; then \
+	    list2="$$list2 $$p"; \
+	  else :; fi; \
+	done; \
+	test -z "$$list2" || { \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 '$(DESTDIR)$(pkglibdir)'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+	}
+
+uninstall-pkglibLTLIBRARIES:
+	@$(NORMAL_UNINSTALL)
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	for p in $$list; do \
+	  $(am__strip_dir) \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f '$(DESTDIR)$(pkglibdir)/$$f'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+	done
+
+clean-pkglibLTLIBRARIES:
+	-test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libVariance.la: $(libVariance_la_OBJECTS) $(libVariance_la_DEPENDENCIES) 
+	$(libVariance_la_LINK) -rpath $(pkglibdir) $(libVariance_la_OBJECTS) $(libVariance_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
+testDoubleVarianceNono$(EXEEXT): $(testDoubleVarianceNono_OBJECTS) $(testDoubleVarianceNono_DEPENDENCIES) 
+	@rm -f testDoubleVarianceNono$(EXEEXT)
+	$(testDoubleVarianceNono_LINK) $(testDoubleVarianceNono_OBJECTS) $(testDoubleVarianceNono_LDADD) $(LIBS)
+testFloatVarianceNono$(EXEEXT): $(testFloatVarianceNono_OBJECTS) $(testFloatVarianceNono_DEPENDENCIES) 
+	@rm -f testFloatVarianceNono$(EXEEXT)
+	$(testFloatVarianceNono_LINK) $(testFloatVarianceNono_OBJECTS) $(testFloatVarianceNono_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
+
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-ccolumnvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-crowvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-cvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-dcolumnvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-drowvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-dvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-scolumnvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-srowvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-svariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-zcolumnvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-zrowvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libVariance_la-zvariancea.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/testDoubleVarianceNono-testDoubleVarianceNono.Po@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/testFloatVarianceNono-testFloatVarianceNono.Po@am__quote@
+
+.c.o:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Po
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
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+@am__fastdepCC_FALSE@	$(COMPILE) -c $<
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+.c.obj:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ `$(CYGPATH_W) '$<'`
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Po
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
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+@am__fastdepCC_FALSE@	$(COMPILE) -c `$(CYGPATH_W) '$<'`
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+.c.lo:
+@am__fastdepCC_TRUE@	$(LTCOMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=yes @AMDEPBACKSLASH@
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+@am__fastdepCC_FALSE@	$(LTCOMPILE) -c -o $@ $<
+
+libVariance_la-svariancea.lo: svariancea.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libVariance_la_CFLAGS) $(CFLAGS) -MT libVariance_la-svariancea.lo -MD -MP -MF $(DEPDIR)/libVariance_la-svariancea.Tpo -c -o libVariance_la-svariancea.lo `test -f 'svariancea.c' || echo '$(srcdir)/'`svariancea.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libVariance_la-svariancea.Tpo $(DEPDIR)/libVariance_la-svariancea.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='svariancea.c' object='libVariance_la-svariancea.lo' libtool=yes @AMDEPBACKSLASH@
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+	    if $(TESTS_ENVIRONMENT) $${dir}$$tst; then \
+	      all=`expr $$all + 1`; \
+	      case " $(XFAIL_TESTS) " in \
+	      *[\ \	]$$tst[\ \	]*) \
+		xpass=`expr $$xpass + 1`; \
+		failed=`expr $$failed + 1`; \
+		col=$$red; res=XPASS; \
+	      ;; \
+	      *) \
+		col=$$grn; res=PASS; \
+	      ;; \
+	      esac; \
+	    elif test $$? -ne 77; then \
+	      all=`expr $$all + 1`; \
+	      case " $(XFAIL_TESTS) " in \
+	      *[\ \	]$$tst[\ \	]*) \
+		xfail=`expr $$xfail + 1`; \
+		col=$$lgn; res=XFAIL; \
+	      ;; \
+	      *) \
+		failed=`expr $$failed + 1`; \
+		col=$$red; res=FAIL; \
+	      ;; \
+	      esac; \
+	    else \
+	      skip=`expr $$skip + 1`; \
+	      col=$$blu; res=SKIP; \
+	    fi; \
+	    echo "$${col}$$res$${std}: $$tst"; \
+	  done; \
+	  if test "$$all" -eq 1; then \
+	    tests="test"; \
+	    All=""; \
+	  else \
+	    tests="tests"; \
+	    All="All "; \
+	  fi; \
+	  if test "$$failed" -eq 0; then \
+	    if test "$$xfail" -eq 0; then \
+	      banner="$$All$$all $$tests passed"; \
+	    else \
+	      if test "$$xfail" -eq 1; then failures=failure; else failures=failures; fi; \
+	      banner="$$All$$all $$tests behaved as expected ($$xfail expected $$failures)"; \
+	    fi; \
+	  else \
+	    if test "$$xpass" -eq 0; then \
+	      banner="$$failed of $$all $$tests failed"; \
+	    else \
+	      if test "$$xpass" -eq 1; then passes=pass; else passes=passes; fi; \
+	      banner="$$failed of $$all $$tests did not behave as expected ($$xpass unexpected $$passes)"; \
+	    fi; \
+	  fi; \
+	  dashes="$$banner"; \
+	  skipped=""; \
+	  if test "$$skip" -ne 0; then \
+	    if test "$$skip" -eq 1; then \
+	      skipped="($$skip test was not run)"; \
+	    else \
+	      skipped="($$skip tests were not run)"; \
+	    fi; \
+	    test `echo "$$skipped" | wc -c` -le `echo "$$banner" | wc -c` || \
+	      dashes="$$skipped"; \
+	  fi; \
+	  report=""; \
+	  if test "$$failed" -ne 0 && test -n "$(PACKAGE_BUGREPORT)"; then \
+	    report="Please report to $(PACKAGE_BUGREPORT)"; \
+	    test `echo "$$report" | wc -c` -le `echo "$$banner" | wc -c` || \
+	      dashes="$$report"; \
+	  fi; \
+	  dashes=`echo "$$dashes" | sed s/./=/g`; \
+	  if test "$$failed" -eq 0; then \
+	    echo "$$grn$$dashes"; \
+	  else \
+	    echo "$$red$$dashes"; \
+	  fi; \
+	  echo "$$banner"; \
+	  test -z "$$skipped" || echo "$$skipped"; \
+	  test -z "$$report" || echo "$$report"; \
+	  echo "$$dashes$$std"; \
+	  test "$$failed" -eq 0; \
+	else :; fi
+
+distdir: $(DISTFILES)
+	@srcdirstrip=`echo "$(srcdir)" | sed 's/[].[^$$\\*]/\\\\&/g'`; \
+	topsrcdirstrip=`echo "$(top_srcdir)" | sed 's/[].[^$$\\*]/\\\\&/g'`; \
+	list='$(DISTFILES)'; \
+	  dist_files=`for file in $$list; do echo $$file; done | \
+	  sed -e "s|^$$srcdirstrip/||;t" \
+	      -e "s|^$$topsrcdirstrip/|$(top_builddir)/|;t"`; \
+	case $$dist_files in \
+	  */*) $(MKDIR_P) `echo "$$dist_files" | \
+			   sed '/\//!d;s|^|$(distdir)/|;s,/[^/]*$$,,' | \
+			   sort -u` ;; \
+	esac; \
+	for file in $$dist_files; do \
+	  if test -f $$file || test -d $$file; then d=.; else d=$(srcdir); fi; \
+	  if test -d $$d/$$file; then \
+	    dir=`echo "/$$file" | sed -e 's,/[^/]*$$,,'`; \
+	    if test -d "$(distdir)/$$file"; then \
+	      find "$(distdir)/$$file" -type d ! -perm -700 -exec chmod u+rwx {} \;; \
+	    fi; \
+	    if test -d $(srcdir)/$$file && test $$d != $(srcdir); then \
+	      cp -fpR $(srcdir)/$$file "$(distdir)$$dir" || exit 1; \
+	      find "$(distdir)/$$file" -type d ! -perm -700 -exec chmod u+rwx {} \;; \
+	    fi; \
+	    cp -fpR $$d/$$file "$(distdir)$$dir" || exit 1; \
+	  else \
+	    test -f "$(distdir)/$$file" \
+	    || cp -p $$d/$$file "$(distdir)/$$file" \
+	    || exit 1; \
+	  fi; \
+	done
+check-am: all-am
+	$(MAKE) $(AM_MAKEFLAGS) $(check_PROGRAMS)
+	$(MAKE) $(AM_MAKEFLAGS) check-TESTS
+check: check-am
+all-am: Makefile $(LTLIBRARIES)
+installdirs:
+	for dir in "$(DESTDIR)$(pkglibdir)"; do \
+	  test -z "$$dir" || $(MKDIR_P) "$$dir"; \
+	done
+install: install-am
+install-exec: install-exec-am
+install-data: install-data-am
+uninstall: uninstall-am
+
+install-am: all-am
+	@$(MAKE) $(AM_MAKEFLAGS) install-exec-am install-data-am
+
+installcheck: installcheck-am
+install-strip:
+	$(MAKE) $(AM_MAKEFLAGS) INSTALL_PROGRAM="$(INSTALL_STRIP_PROGRAM)" \
+	  install_sh_PROGRAM="$(INSTALL_STRIP_PROGRAM)" INSTALL_STRIP_FLAG=-s \
+	  `test -z '$(STRIP)' || \
+	    echo "INSTALL_PROGRAM_ENV=STRIPPROG='$(STRIP)'"` install
+mostlyclean-generic:
+
+clean-generic:
+
+distclean-generic:
+	-test -z "$(CONFIG_CLEAN_FILES)" || rm -f $(CONFIG_CLEAN_FILES)
+	-test . = "$(srcdir)" || test -z "$(CONFIG_CLEAN_VPATH_FILES)" || rm -f $(CONFIG_CLEAN_VPATH_FILES)
+
+maintainer-clean-generic:
+	@echo "This command is intended for maintainers to use"
+	@echo "it deletes files that may require special tools to rebuild."
+clean: clean-am
+
+clean-am: clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES mostlyclean-am
+
+distclean: distclean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+distclean-am: clean-am distclean-compile distclean-generic \
+	distclean-tags
+
+dvi: dvi-am
+
+dvi-am:
+
+html: html-am
+
+html-am:
+
+info: info-am
+
+info-am:
+
+install-data-am:
+
+install-dvi: install-dvi-am
+
+install-dvi-am:
+
+install-exec-am: install-pkglibLTLIBRARIES
+
+install-html: install-html-am
+
+install-html-am:
+
+install-info: install-info-am
+
+install-info-am:
+
+install-man:
+
+install-pdf: install-pdf-am
+
+install-pdf-am:
+
+install-ps: install-ps-am
+
+install-ps-am:
+
+installcheck-am:
+
+maintainer-clean: maintainer-clean-am
+	-rm -rf ./$(DEPDIR)
+	-rm -f Makefile
+maintainer-clean-am: distclean-am maintainer-clean-generic
+
+mostlyclean: mostlyclean-am
+
+mostlyclean-am: mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool
+
+pdf: pdf-am
+
+pdf-am:
+
+ps: ps-am
+
+ps-am:
+
+uninstall-am: uninstall-pkglibLTLIBRARIES
+
+.MAKE: check-am install-am install-strip
+
+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/variance/ccolumnvariancea.c b/src/c/statisticsFunctions/variance/ccolumnvariancea.c
new file mode 100644
index 0000000..8bf5526
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/ccolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void ccolumnvariancea(floatComplex *in, int lines, int columns, floatComplex* out){
+    
+    int i = 0 ;
+    
+    floatComplex* transp = (floatComplex*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+    
+    
+    ctransposea ( in , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = cvariancea ( transp + i*columns , columns ) ;
+    
+
+    free (transp);
+    
+
+}
diff --git a/src/c/statisticsFunctions/variance/crowvariancea.c b/src/c/statisticsFunctions/variance/crowvariancea.c
new file mode 100644
index 0000000..586b942
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/crowvariancea.c
@@ -0,0 +1,22 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void crowvariancea(floatComplex *in, int lines, int columns, floatComplex* out){
+    
+    int i = 0 ;
+    
+    for ( i = 0; i < columns ; i++)
+    out[i] = cvariancea ( in + i*lines , lines) ;
+}
+
diff --git a/src/c/statisticsFunctions/variance/cvariancea.c b/src/c/statisticsFunctions/variance/cvariancea.c
new file mode 100644
index 0000000..9d43928
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/cvariancea.c
@@ -0,0 +1,36 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+floatComplex	cvariancea(floatComplex *in, int size)
+{
+    int i = 0 ;
+    
+    floatComplex sum  = FloatComplex ( 0 , 0 ) ;
+    floatComplex temp = FloatComplex ( 0 , 0 ) ; 
+    floatComplex variance = FloatComplex ( 0 , 0 );
+    floatComplex mean =  cmeana ( in , size ) ;
+     
+    for ( i = 0 ; i < size ; i++)
+    {
+       temp = cdiffs( in[i] , mean ) ;
+       sum  = cadds ( sum , cpows ( temp  , FloatComplex ( 2, 0) ) );
+    }
+ 
+    variance = crdivs (sum , FloatComplex ( (float)(size - 1),0 ));
+  
+    return variance ;
+
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/dcolumnvariancea.c b/src/c/statisticsFunctions/variance/dcolumnvariancea.c
new file mode 100644
index 0000000..2a8e89b
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/dcolumnvariancea.c
@@ -0,0 +1,32 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void dcolumnvariancea(double *in, int lines, int columns, double* out){
+    
+    int i = 0 ;
+    
+    double* transp = (double*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+    
+    
+    dtransposea ( in , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = dvariancea ( transp + i*columns , columns ) ;
+    
+
+    free (transp);
+}
+
diff --git a/src/c/statisticsFunctions/variance/drowvariancea.c b/src/c/statisticsFunctions/variance/drowvariancea.c
new file mode 100644
index 0000000..1512336
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/drowvariancea.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void drowvariancea(double *in, int lines, int columns, double* out){
+    
+    int i = 0 ;
+
+    for ( i = 0; i < columns ; i++)
+    out[i] = dvariancea ( in + i*lines , lines  ) ;
+    
+}
diff --git a/src/c/statisticsFunctions/variance/dvariancea.c b/src/c/statisticsFunctions/variance/dvariancea.c
new file mode 100644
index 0000000..05ed4ff
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/dvariancea.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h" 
+
+double	dvariancea(double *in, int size)
+{
+    int i = 0 ;
+    
+    double temp = 0 ;
+    double variance = 0;
+    
+    double mean =  dmeana ( in, size );
+ 
+    for ( i = 0 ; i < size ; i++)
+    { 
+       temp += dpows (  (in[i]  - mean ) ,2 ) ;
+    }
+    
+    
+    variance =  ( temp )/ ( size -1);
+   
+    
+    return variance ;
+}
+
diff --git a/src/c/statisticsFunctions/variance/scolumnvariancea.c b/src/c/statisticsFunctions/variance/scolumnvariancea.c
new file mode 100644
index 0000000..2c0ec08
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/scolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+
+void scolumnvariancea(float *in, int lines, int columns, float* out){
+    int i = 0 ;
+    
+    float* transp = (float*) malloc ( sizeof (floatComplex) *(unsigned int) (lines*columns));
+
+    
+    
+    stransposea ( in , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = svariancea ( transp + i*columns , columns ) ;
+    
+
+    free (transp);
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/srowvariancea.c b/src/c/statisticsFunctions/variance/srowvariancea.c
new file mode 100644
index 0000000..5f6ae30
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/srowvariancea.c
@@ -0,0 +1,21 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void srowvariancea(float *in, int lines, int columns, float* out){
+    
+    int i = 0 ;
+
+    for ( i = 0; i < columns ; i++)
+    out[i] = svariancea ( in + i*lines , lines  ) ;
+}
diff --git a/src/c/statisticsFunctions/variance/svariancea.c b/src/c/statisticsFunctions/variance/svariancea.c
new file mode 100644
index 0000000..426fc45
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/svariancea.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h" 
+
+float	svariancea(float *in, int size)
+{
+    int i = 0 ;
+    
+    float temp = 0 ;
+    float variance = 0;
+    
+    float mean =  smeana ( in , size );
+ 
+    for ( i = 0 ; i < size ; i++)
+    { 
+       temp += spows (  (in[i]  - mean ) ,2 ) ;
+    }
+    
+    
+    variance =  ( temp )/ (float)( size -1);
+   
+    
+    return variance ;
+}
diff --git a/src/c/statisticsFunctions/variance/svn-prop.tmp b/src/c/statisticsFunctions/variance/svn-prop.tmp
new file mode 100644
index 0000000..4c36708
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/svn-prop.tmp
@@ -0,0 +1,12 @@
+
+.libs
+.deps
+Makefile
+testMatrixAddition
+testMatrixSubtraction
+testMatrixMultiplication
+testMatrixDivision
+*.o
+*.lo
+*.la
+
diff --git a/src/c/statisticsFunctions/variance/testDoubleVariance.c b/src/c/statisticsFunctions/variance/testDoubleVariance.c
new file mode 100644
index 0000000..dd3481b
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testDoubleVariance.c
@@ -0,0 +1,335 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE  1.323312455
+#define LINES   7
+#define COLUMNS 10
+#define MATRIX  {0.102326436434,0.939044147730,0.638607255649,0.059883427806,0.311199211050,\
+ 0.377510951832,0.909709410276,0.928138985299,0.855155082885,0.308869514614,\
+0.729239261709,0.127006734256,0.242402311414,0.807912770193,0.621117659844,\
+ 0.081452373881,0.088844371960,0.587072817143,0.068080495112,0.995457543526,\
+0.835322400089,0.656235548668,0.767905956600,0.706818781793,0.187699332368,\
+ 0.568810169585,0.401039466728,0.397196868435,0.483212330844,0.161224133335,\
+0.932864250615,0.719208867755,0.262409000657,0.931377100293,0.596724558622,\
+ 0.310327019077,0.350161732174,0.104841318447,0.830732351169,0.804621329065,\
+0.050784428138,0.551920620725,0.125952405389,0.083156193607,0.420623748098,\
+ 0.168616071343,0.707545555662,0.104633864947,0.465604968835,0.489758284763,\
+0.167727907188,0.760689914692,0.454900974408,0.063926273491,0.87152507063,0.978668818716,\
+ 0.135898929089,0.484713065904,0.785042577423,0.049412418623,\
+0.947593610268,0.884073690511,0.212796610314,0.654832502827,0.007690255996,\
+ 0.031808692031,0.706323316786,0.008731670678,0.270014822017,0.153652121313}
+
+
+#define MATRIXROW {0.1688249423502767021521  ,  0.0729081225272336097554  ,  0.0579879770921138057438  ,  0.1499989757031960635469  ,  0.0850863194040760717485 ,    0.1085086384507867873772  ,  0.0969379859569881041637 ,   0.1072816602642319844252 ,   0.0913638718167188862429 ,   0.1285778184208021535095  }
+#define MATRIXCOL {    0.1233078274276283442523,  \
+    0.1232135941992091865416 , \
+    0.0540377259589001762707 , \
+    0.0925512303008872161403 , \
+    0.0555055644879708723338 , \
+    0.1276299219577190779962 , \
+    0.1385167433745558840386  }
+
+
+#define IMATRIX {0.05826747464016080,0.99946373142302036,0.85600351681932807,0.62329693790525198,\
+ 0.49792320514097810,0.44210509583353996,0.55833499459549785,0.09633230511099100,\
+ 0.80100952507928014,0.34466254524886608,\
+0.48831309471279383,0.95087061496451497,0.01332767866551876,0.76261807000264525,\
+ 0.74346329551190138,0.65157829830422997,0.57006288319826126,0.70580983115360141,\
+ 0.51323400903493166,0.64977857517078519,\
+0.80352442665025592,0.69910932797938585,0.69258948462083936,0.91169391758739948,\
+ 0.92454590043053031,0.27637310232967138,0.31692579621449113,0.86305770650506020,\
+ 0.20109100220724940,0.01225362811237574,\
+0.38199013099074364,0.96006405679509044,0.16440964583307505,0.59608811559155583,\
+ 0.72101737372577190,0.58661046391353011,0.99326277803629637,0.00761850038543344,\
+ 0.78608208894729614,0.89965870184823871,\
+0.43115562805905938,0.81857266277074814,0.83410377753898501,0.55516970623284578,\
+ 0.51345925079658628,0.04770902730524540,0.80747798969969153,0.80489510949701071,\
+ 0.78650354826822877,0.30791273340582848,\
+0.75731822755187750,0.53423820668831468,0.42618893459439278,0.85448804078623652,\
+ 0.92601215932518244,0.94169309409335256,0.85547966323792934,0.59637623047456145,\
+ 0.69515300076454878,0.18359116325154901,\
+0.01200280850753188,0.2255702270194888,0.34853330114856362,0.55313225090503693,\
+ 0.63695094687864184,0.96132039744406939,0.50314606027677655,0.11768362112343311,\
+ 0.42481321236118674,0.52963322307914495}
+
+#define RMATRIX {0.53868199465796351,0.65326874051243067,0.37497402401641011,0.60422550700604916,\
+ 0.33622304117307067,0.03531436901539564,0.33213760564103723,0.39493087679147720,\
+ 0.04170337272807956,0.87363853026181459,\
+0.65950810909271240,0.31221040291711688,0.15333442110568285,0.66478573577478528,\
+ 0.44319023378193378,0.40884594758972526,0.94536898937076330,0.67733758920803666,\
+ 0.18673646822571754,0.92331133363768458,\
+0.55921846115961671,0.75012728199362755,0.23257926432415843,0.57102064136415720,\
+ 0.60969385923817754,0.67336730472743511,0.07624059682711959,0.10437540244311094,\
+ 0.95672677317634225,0.19771346449851990,\
+0.05278092902153730,0.75808868417516351,0.17633479088544846,0.01146994484588504,\
+ 0.36732212174683809,0.19948644982650876,0.52714426256716251,0.21445603063330054,\
+ 0.94751045759767294,0.04272260749712586,\
+0.03257346292957664,0.53217577841132879,0.87635089689865708,0.15471007302403450,\
+ 0.25448470888659358,0.91815057490020990,0.72509902389720082,0.87545845471322536,\
+ 0.05635281419381499,0.01432112138718367,\
+0.57406943850219250,0.80984140699729323,0.01664119493216276,0.93888836959376931,\
+ 0.11264799535274506,0.66036546928808093,0.76042845565825701,0.25908330874517560,\
+ 0.88014078326523304,0.70332178613170981,\
+0.94614937948063016,0.78529163636267185,0.20241560926660895,0.10981105919927359,\
+ 0.75415370846167207,0.15320260450243950,0.59521253732964396,0.71318271104246378,\
+ 0.51107599260285497,0.52125945501029491}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184,-0.05416405376783551,+0.11775191182077104,+0.08015791690354153,+0.00011032748454003,\
+-0.10124210045965254,0.06720614014223115,+0.02470873836336094,-0.07082037296251543,-0.00621987869853545}
+
+#define RMATRIXROW {0.01439621349781126,-0.04697393442028135,-0.03018604392150223,0.09765990436118642,0.01606884471097247,\
+-0.00604250542333471,0.02870576510687836,-0.04985742926427023,0.12356001472881707,0.05909180726174274}
+
+#define IMATRIXCOL {-0.01904810719805961,+0.04121453132770223,+0.00378553967089328,\
++0.10307670507342410,+0.03497427750676810,+0.01761849804019567,-0.10182321471060848}
+
+#define RMATRIXCOL {-0.02739893277693160,0.01792852626358409,-0.02205084134302381,\
+-0.01012610864032573,0.07317682977907164,0.04762062457313784,0.00849011627117621}
+
+
+static void  dvariancesTest (void ) {
+    
+    double toTest =  dvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+}    
+
+
+static void  drowvariancesTest (void ) {
+    
+    double toTest = drowvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+} 
+
+static void  dcolumnvariancesTest (void) {
+    
+    double toTest =  dcolumnvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+} 
+
+
+static void  zvariancesTest (void ) {
+    
+    doubleComplex toTest = zvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}   
+
+static void  zrowvariancesTest (void ) {
+    
+    doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}
+
+static void  zcolumnvariancesTest (void ) {
+    
+    doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}   
+
+
+
+
+
+
+static void  dvarianceaTest ( void){
+    
+    double mtoTest[] = MATRIX ;
+    double result = 0.1007532974338590653352;
+    double out = dvariancea ( mtoTest , LINES*COLUMNS );  ;
+    
+
+    
+    printf ( "out : %1.20f\t result : %1.20f\t\n" , out , result ) ; 
+    
+
+    
+    assert ( fabs ( out - result ) / fabs( out ) < 3e-15 ) ;
+    
+}
+
+
+static void drowvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    double mtoTest[] = MATRIX ; 
+    double result[LINES] =  MATRIXCOL ;
+    double out[LINES]  ;
+    
+    drowvariancea ( mtoTest , COLUMNS , LINES , out ) ;
+    
+    for ( i = 0 ; i < LINES ; i++)
+    {
+            printf ( "ROWout : %1.20f\t result : %1.20f\t\n" , out[i] , result [i] ) ; 
+           assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+    }
+    
+}
+
+static void dcolumnvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    double mtoTest[] = MATRIX ; 
+    double result[COLUMNS] =  MATRIXROW ;
+    double out[ COLUMNS]  ;
+  
+    
+    
+    dcolumnvariancea ( mtoTest ,  COLUMNS, LINES , out ) ;
+    
+    for ( i = 0 ; i <  COLUMNS; i++)
+    {
+            printf ( "%dCOLout : %1.20f\t result : %1.20f\t\n" ,i, out[i] , result [i] ) ;  } 
+     for ( i = 0 ; i <  COLUMNS; i++)
+    {
+          assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+    }
+    
+}
+
+
+
+
+static void  zvarianceaTest ( void){
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    doubleComplex Result = DoubleComplex ( 0.01225832057910708 , 0.01071188208687752 );
+    
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+    doubleComplex out = zvariancea ( mtoTest ,  LINES*COLUMNS );  ;
+    
+            assert ( fabs(  zreals(out) -  zreals (Result) ) / fabs (zreals (out)) < 3e-16 );
+            assert(  fabs(  zimags(out) -  zimags (Result )) / fabs (zimags (out)) < 3e-15 );
+
+    
+}
+
+static void zrowvarianceaTest (void ) {
+   
+    int i = 0 ;
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    double  rResult  [] = RMATRIXROW;
+    double  iResult  [] = IMATRIXROW ;
+    
+    doubleComplex out[COLUMNS];
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    doubleComplex* Result  = DoubleComplexMatrix ( rResult  , iResult  , COLUMNS );
+    
+    zrowvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+    /*FIXME test failed under 1-e04 precision */
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , zreals(out[i])  , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+        assert ( fabs(  zreals(out[i]) -  zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-8 );
+        assert(  fabs(  zimags(out[i]) -  zimags (Result[i])) / fabs (zimags (out[i])) < 3e-15);
+      
+    }
+}
+
+
+
+static void zcolumnvarianceaTest ( void) {
+        int i = 0 ;
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    double  rResult  [] = RMATRIXCOL;
+    double  iResult  [] = IMATRIXCOL ;
+    
+    doubleComplex out[LINES];
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    doubleComplex* Result  = DoubleComplexMatrix ( rResult  , iResult  , LINES );
+    
+    zcolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+   
+    for ( i = 0 ; i < LINES ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , zreals(out[i])  , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+        assert ( fabs(  zreals(out[i]) -  zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 );
+        assert(  fabs(  zimags(out[i]) -  zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16);
+      
+    }
+    
+    
+    
+}
+
+
+
+
+
+static int testDoubleVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Double  Tests ****\n");
+  printf("*********************\n");
+
+  printf("\n\t>>>>singleton real  Tests\n"); 
+   dcolumnvariancesTest () ;   
+  dvariancesTest () ;    
+  drowvariancesTest () ;
+
+
+  printf("\n\t>>>>singleton complex  Tests\n");     
+    
+  zrowvariancesTest () ;
+  zcolumnvariancesTest () ;
+  zvariancesTest () ;
+    
+    
+    
+  printf("\n\t>>>>array real  Tests\n"); 
+    
+  dvarianceaTest () ;    
+  
+  dcolumnvarianceaTest () ;   
+  drowvarianceaTest ( );
+    
+    
+  printf("\n\t>>>>array  complex  Tests\n"); 
+    
+  zvarianceaTest () ;  
+  zrowvarianceaTest ( );  
+  zcolumnvarianceaTest () ;
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testDoubleVariance () == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c b/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c
new file mode 100644
index 0000000..39302d7
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testDoubleVarianceNono.c
@@ -0,0 +1,363 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+#include "assert.h"
+
+static int doubleVariance(void){
+
+	int i;
+	
+	
+	/*test 1 */
+	{
+		double matrice[20]={1,5,9,4,8,2,6,1,5,9,3,7,2,6,1,4,8,3,7,2};
+		double out, *outColumns, *outRows;
+		double result= 7.5026315789473692063893;
+		double resultColumns[5]= {1.6666666666666667406815 ,1.6666666666666667406815   ,12.916666666666666074548   ,1.6666666666666667406815   ,16.666666666666667850905};
+		double resultRows[4]={10.300000000000000710543  ,  10.300000000000000710543  ,  6.7000000000000001776357 ,   6.7000000000000001776357};
+	
+	
+	
+		outColumns= (double*)malloc((unsigned int)5*sizeof(double));
+		outRows= (double*)malloc((unsigned int)4*sizeof(double));
+	
+		out = dvariancea(matrice,20);
+		drowvariancea(matrice,5,4,outRows);
+		dcolumnvariancea(matrice,5,4,outColumns);
+	
+	
+		printf("Variance \n");
+		printf("%f\n",out);
+		printf("Row Variance \n");
+		for (i=0;i<4;i++) printf("%f\n",outRows[i]);	
+		printf("Column Variance \n");
+		for (i=0;i<5;i++) printf("%f\n",outColumns[i]);
+	
+	
+		assert(fabs(out-result)/fabs(out) <1e-16);
+		for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-16);
+	
+		for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-16);
+		
+		free(outColumns);
+		free(outRows);
+	
+	}
+	
+	
+	/* test 2 */
+	
+	{
+		double mtovar[70]={0.2113248654641211032867,0.7560438541695475578308,0.0002211346291005611420,
+	 0.3303270917385816574097,0.6653811042197048664093,0.6283917883411049842835,
+	 0.8497452358715236186981,
+	0.6857310198247432708740,0.8782164813019335269928,0.0683740368112921714783,
+	 0.5608486062847077846527,0.6623569373041391372681,0.7263506767340004444122,
+	 0.1985143842175602912903,
+	0.5442573162727057933807,0.2320747897028923034668,0.2312237196601927280426,
+	 0.2164632631465792655945,0.8833887814544141292572,0.6525134947150945663452,
+	 0.3076090742833912372589,
+	0.9329616213217377662659,0.2146007861010730266571,0.3126419968903064727783,
+	 0.3616361008025705814362,0.2922266637906432151794,0.5664248815737664699554,
+	 0.4826471973210573196411,
+	0.3321718913502991199493,0.5935094701126217842102,0.5015341597609221935272,
+	 0.4368587583303451538086,0.2693124809302389621735,0.6325744865462183952332,
+	 0.4051954015158116817474,
+	0.9184707831591367721558,0.0437334333546459674835,0.4818508932366967201233,
+	 0.2639556000940501689911,0.4148103706538677215576,0.2806498021818697452545,
+	 0.1280058464035391807556,
+	0.7783128595910966396332,0.2119030449539422988892,0.1121354666538536548615,
+	 0.6856895955279469490051,0.1531216683797538280487,0.6970850601792335510254,
+	 0.8415518426336348056793,
+	0.4062024755403399467468,0.4094825475476682186127,0.8784125801175832748413,
+	 0.1138359685428440570831,0.1998337740078568458557,0.5618660743348300457001,
+	 0.5896177329123020172119,
+	0.6853979662992060184479,0.8906224733218550682068,0.5042212805710732936859,
+	 0.3493615407496690750122,0.3873778772540390491486,0.9222898678854107856751,
+	 0.9488184261135756969452,
+	0.3435337245464324951172,0.3760118731297552585602,0.7340940563008189201355,
+	 0.2615761472843587398529,0.4993493836373090744019,0.2638578419573605060577,
+	 0.5253563085570931434631};
+		double out2, *outColumns2, *outRows2;
+	 	double result2=     0.0651863337585355667736  ;
+		double resultColumns2[7]= {0.0650391675869589902526  ,
+	    0.0913789208052724344356  ,
+	    0.0837863718398224738282  ,
+	    0.0281545517812518443501  ,
+	    0.0549594706400152802073  ,
+	    0.0389978730537587012228  ,
+	    0.0796657637071630925218  ,
+	 };
+		double resultRows2[10]={0.0988544518240001696130  ,  0.0874673050908554156058  ,  0.0678199050579095519264,    0.0591380787668954188696   , 0.0175386373980947855855 ,0.0831815708684833926556  ,  0.1035239817400336881370 ,   0.0657802543744439444096  ,  0.0667446022405332184402  ,  0.0287884625084994134891};
+	
+	
+		outColumns2= (double*)malloc((unsigned int)7*sizeof(double));
+		outRows2= (double*)malloc((unsigned int)10*sizeof(double));
+	
+	
+	
+		out2 = dvariancea(mtovar,70);
+		drowvariancea(mtovar,7,10,outRows2);
+		dcolumnvariancea(mtovar,7,10,outColumns2);
+	
+	
+		printf("Variance 2 \n");
+		printf("%f\n",out2);
+		printf("Row Variance 2 \n");
+		for (i=0;i<10;i++) printf("%f\n",outRows2[i]);	
+		printf("Column Variance 2 \n");
+		for (i=0;i<7;i++) printf("%f\n",outColumns2[i]);
+	
+		assert(fabs(out2-result2)/fabs(out2) <1e-16);
+		for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-16);
+	
+		for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-16);	
+		
+		free(outColumns2);
+		free(outRows2);
+	}
+	
+	
+	return 0;
+}
+
+
+static int doubleComplexVariance(void){
+	int i;
+	
+	/* test 1 */
+	{
+		double inR[6]={0.9677053210325539112091,0.5068534435704350471497,0.523297640960663557053,0.5596947595477104187012,
+		0.5617307000793516635895,0.468176002614200115204};
+		double inI[6]={0.7794546722434461116791,0.7901071812957525253296,0.9808542062528431415558,0.8187066102400422096252,
+		0.4256872381083667278290,0.2461560554802417755127};
+		double varianceR=- 0.0428404140538702279950;
+		double varianceI=0.0257955584577409802183;
+		double rowVarianceR[3]={0.106135488505625180666,- 0.0124835463256454722719,- 0.01173948205902856229};
+		double rowVarianceI[3]={- 0.0049092287964376275095,- 0.0059017052806824826100,0.0167959854763351026929};
+		double colVarianceR[2]={- 0.0183554755457089394111,- 0.1019751767306446843531};
+		double colVarianceI[2]={0.0109267784648201249365,0.0249829946888768111846};
+		doubleComplex *in, *rowVariance, *colVariance;
+		doubleComplex out, *outRow, *outCol;
+		
+		in= (doubleComplex*)malloc ((unsigned int)6*sizeof(doubleComplex));
+		outRow= (doubleComplex*)malloc ((unsigned int)3*sizeof(doubleComplex));
+		outCol= (doubleComplex*)malloc ((unsigned int)2*sizeof(doubleComplex));
+		
+		in=DoubleComplexMatrix(inR,inI,6);
+		rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,3);
+		colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,2);
+		
+		
+		out=zvariancea(in,6);
+		printf("Variance \n");
+		printf("%f + %f *i\texpecting result : %f + %f *i\n",zreals(out),zimags(out) , varianceR , varianceI);
+		
+		assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16);
+		assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-15);
+		
+		
+		
+		
+		
+		zrowvariancea(in,2,3,outRow);
+		printf("Row Variance \n");
+		for (i=0;i<3;i++)	printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i]));	
+			
+			
+		for (i=0;i<3;i++){
+			assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-15);
+			assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-14);
+		}
+		
+		
+		
+		zcolumnvariancea(in,2,3,outCol);		
+		printf("Column Variance \n");
+		for (i=0;i<2;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i]));
+				
+		
+		for (i=0;i<2;i++){
+			assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-15);			
+			assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-15);			
+		}
+		
+		free(in);
+		free(outCol);
+		free(outRow);		
+		
+	}
+	
+	
+	printf("\n");
+	printf("\n");
+	printf("\n");
+	printf("\n");
+	
+	
+	/* test 2 */
+	{
+		double inR[70]={0.0453502028249204158783,0.2029444333165884017944,0.7844273825176060199738,
+ 0.2637536162510514259338,0.4383276398293673992157,0.866485897451639175415,
+ 0.3792142109014093875885,0.7668716078624129295349,0.6006621322594583034515,
+ 0.7856735605746507644653,
+0.7387115550227463245392,0.5544260339811444282532,0.9929149555973708629608,
+ 0.9757428467273712158203,0.3709622272290289402008,0.3032238213345408439636,
+ 0.9519520117901265621185,0.7127858083695173263550,0.119237006176263093948,
+ 0.5009163180366158485413,
+0.3290053526870906352997,0.4808946810662746429443,0.3303695977665483951569,
+ 0.6304475357756018638611,0.2117190784774720668793,0.4486023131757974624634,
+ 0.5914509710855782032013,0.6806742670014500617981,0.0739296111278235912323,
+ 0.9433694705367088317871,
+0.1286330693401396274567,0.2019080771133303642273,0.1969303428195416927338,
+ 0.8928690161556005477905,0.4617918957956135272980,0.6251291716471314430237,
+ 0.7059706593863666057587,0.7018169648945331573486,0.4087999747134745121002,
+ 0.0636221384629607200623,
+0.0657393387518823146820,0.5331004131585359573364,0.0331581872887909412384,
+ 0.3157835649326443672180,0.3785823243670165538788,0.4619523435831069946289,
+ 0.6287369825877249240875,0.2878515301272273063660,0.3292048736475408077240,
+ 0.4719233047217130661011,
+0.3353769634850323200226,0.5553069720044732093811,0.1196080814115703105927,
+ 0.7613999657332897186279,0.4790988476015627384186,0.2816969295963644981384,
+ 0.2380097783170640468597,0.3294205460697412490845,0.2306728032417595386505,
+ 0.2136296601966023445129,
+0.4054998042993247509003,0.3095371201634407043457,0.6762971603311598300934,
+ 0.970691631548106670380,0.5441796570084989070892,0.0204747971147298812866,
+ 0.8941364963538944721222,0.3490363890305161476135,0.1105365152470767498016,
+ 0.2023377753794193267822};
+		double inI[70]={1.0377217042259871959686,1.9830380710773169994354,-0.6786614381708204746246,
+ -1.7368789152242243289948,0.6849579229019582271576,-1.9756898251362144947052, 0.9018773441202938556671,0.4113956945948302745819,0.0771432374604046344757,
+ -2.6145569621585309505463,
+-0.8694803346879780292511,1.1954508102498948574066,1.0175080369226634502411,
+ -1.86952689336612820625,1.6495719677768647670746,-1.1282413271255791187286,
+ 1.7159116868861019611359,1.3512618443928658962250,1.6467350018210709095001,
+ -4.3247690196149051189423,
+-1.1214177873916923999786,0.3549467395059764385223,1.5090364827774465084076,
+ 0.0271988785825669765472,-0.3927204073406755924225,-2.2866433826275169849396,
+ 2.4531399612314999103546,1.2140426929108798503876,0.1123848785646259784699,
+ -1.2278760573826730251312,
+0.5748759503476321697235,0.1001535071991384029388,0.7154782521538436412811,
+ -0.3598340046592056751251,0.1114491275511682033539,-1.0214430955238640308380,
+ 1.8411546354182064533234,1.3313704966567456722260,0.107393887359648942947,
+ -2.1405860441736876964569,
+-0.1921784919686615467072,-0.0941377175040543079376,-0.3007089742459356784821,
+ -1.6332105011679232120514,-0.9827875629998743534088,-4.0793808070011436939240,
+ 1.6021160488016903400421,0.5996482106857001781464,-1.0103867049328982830048,
+ -1.9795853956602513790131,
+-0.7019297261722385883331,0.1910370937548577785492,0.5148729826323688030243,
+ -1.2210475285537540912628,1.4409833527170121669769,-2.0624672439880669116974,
+ 2.2999203805811703205109,1.6434787488542497158051,-0.0813916879706084728241,
+ -4.3653216282837092876434,
+0.0896512451581656932831,1.4530082489363849163055,-0.1911182911135256290436,
+ -1.5278804996050894260406,-0.8655951828695833683014,-2.6959278550930321216583,
+ 1.089711368549615144730,0.2611377011053264141083,-0.0787748913280665874481,
+ -1.675187868531793355942};
+ 		double varianceR=- 2.3201230329620456949158;
+		double varianceI=0.0135359053960125846894;
+		double rowVarianceR[7]={- 2.1748250359163439071608,- 4.0055927597555047725564,- 1.9380991813636070375537,- 1.211164632384367667584,
+		- 2.3819157100812309302285,- 3.865411523472068289209,- 1.5488286339908912125907};
+		double rowVarianceI[7]={- 0.5161401892195496277083,- 0.0302397956223948334575,0.0072526988331105511632,0.2035074619460965072992,
+		- 0.0227578793067023492369,0.0176453877563822227048,0.2048099414748655033858};
+		double colVarianceR[10]={ - 0.5673920596394929072304, 
+						  - 0.6095831761740567733554,  
+						  - 0.4837275005370789138226,
+						  - 0.4518709923747168399899,
+						  - 1.1155710732654480210613,
+						  - 0.9922425930742954092168,
+						  - 0.2615272073355465187738,
+						  - 0.2448899237808548345896,
+						  - 0.5783271525148965253038,
+						  - 1.4662540245146995498970 };
+		double colVarianceI[10]={ - 0.2519451287679840834066,
+						  - 0.1132720366896080160801,
+						  - 0.0393753052279357945720 , 
+						  0.0678956480014177715665  ,
+						  0.0165011281984272333012  ,
+						  0.1043646242921155153915  ,
+						  - 0.0697520473529744805541 , 
+						  0.0395755738577838397929  ,
+						  - 0.0906906077772287183558 , 
+						  0.2030521845859689644698  };
+		doubleComplex *in, *rowVariance, *colVariance;
+		doubleComplex out, *outRow, *outCol;
+		
+		in= (doubleComplex*)malloc ((unsigned int)70*sizeof(doubleComplex));
+		outRow= (doubleComplex*)malloc ((unsigned int)7*sizeof(doubleComplex));
+		outCol= (doubleComplex*)malloc ((unsigned int)10*sizeof(doubleComplex));
+		
+		in=DoubleComplexMatrix(inR,inI,70);
+		rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,7);
+		colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,10);
+		
+		
+		out=zvariancea(in,70);
+		printf("Variance 2 \n");
+		printf("%f + %f *i\n",zreals(out),zimags(out));
+		
+		assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16);
+		assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-16);
+		
+		
+		
+		
+		
+		zrowvariancea(in,10,7,outRow);
+		printf("Row Variance 2 \n");
+		for (i=0;i<7;i++)	printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i]));	
+			
+			
+		for (i=0;i<7;i++){
+			assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-15);
+			assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-14);
+		}
+		
+		
+		
+		zcolumnvariancea(in,10,7,outCol);		
+		printf("Column Variance 2 \n");
+		for (i=0;i<10;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i]));
+				
+		
+		for (i=0;i<10;i++){
+			assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-15);			
+			assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-14);			
+		}
+		free(in);
+		free(outCol);
+		free(outRow);
+		
+	}
+	
+	return 0;
+}
+
+
+
+
+
+static int testDoubleVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Double  Tests Nono****\n");
+  printf("*********************\n");
+	assert(doubleVariance()==0);
+	assert(doubleComplexVariance()==0);
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testDoubleVariance () == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variance/testFloatVariance.c b/src/c/statisticsFunctions/variance/testFloatVariance.c
new file mode 100644
index 0000000..5a22a9c
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testFloatVariance.c
@@ -0,0 +1,329 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE  1.323312455f
+#define LINES   7
+#define COLUMNS 10
+#define MATRIX  {0.102326436434f,0.939044147730f,0.638607255649f,0.059883427806f,0.311199211050f,\
+ 0.377510951832f,0.909709410276f,0.928138985299f,0.855155082885f,0.308869514614f,\
+0.729239261709f,0.127006734256f,0.242402311414f,0.807912770193f,0.621117659844f,\
+ 0.081452373881f,0.088844371960f,0.587072817143f,0.068080495112f,0.995457543526f,\
+0.835322400089f,0.656235548668f,0.767905956600f,0.706818781793f,0.187699332368f,\
+ 0.568810169585f,0.401039466728f,0.397196868435f,0.483212330844f,0.161224133335f,\
+0.932864250615f,0.719208867755f,0.262409000657f,0.931377100293f,0.596724558622f,\
+ 0.310327019077f,0.350161732174f,0.104841318447f,0.830732351169f,0.804621329065f,\
+0.050784428138f,0.551920620725f,0.125952405389f,0.083156193607f,0.420623748098f,\
+ 0.168616071343f,0.707545555662f,0.104633864947f,0.465604968835f,0.489758284763f,\
+0.167727907188f,0.760689914692f,0.454900974408f,0.063926273491f,0.87152507063f,0.978668818716f,\
+ 0.135898929089f,0.484713065904f,0.785042577423f,0.049412418623f,\
+0.947593610268f,0.884073690511f,0.212796610314f,0.654832502827f,0.007690255996f,\
+ 0.031808692031f,0.706323316786f,0.008731670678f,0.270014822017f,0.153652121313f}
+
+
+#define MATRIXROW {0.168824942350f,0.072908122527f,0.057987977092f,0.149998975703f,0.085086319404f,\
+0.108508638451f,0.096937985957f,0.107281660264f,0.091363871817f,0.128577818421f}
+
+#define MATRIXCOL { 0.123307827428f,0.123213594199f,0.054037725959f,0.092551230301f,0.055505564488f,\
+0.127629921958f,0.138516743375f }
+
+
+#define IMATRIX {0.05826747464016080f,0.99946373142302036f,0.85600351681932807f,0.62329693790525198f,\
+ 0.49792320514097810f,0.44210509583353996f,0.55833499459549785f,0.09633230511099100f,\
+ 0.80100952507928014f,0.34466254524886608f,\
+0.48831309471279383f,0.95087061496451497f,0.01332767866551876f,0.76261807000264525f,\
+ 0.74346329551190138f,0.65157829830422997f,0.57006288319826126f,0.70580983115360141f,\
+ 0.51323400903493166f,0.64977857517078519f,\
+0.80352442665025592f,0.69910932797938585f,0.69258948462083936f,0.91169391758739948f,\
+ 0.92454590043053031f,0.27637310232967138f,0.31692579621449113f,0.86305770650506020f,\
+ 0.20109100220724940f,0.01225362811237574f,\
+0.38199013099074364f,0.96006405679509044f,0.16440964583307505f,0.59608811559155583f,\
+ 0.72101737372577190f,0.58661046391353011f,0.99326277803629637f,0.00761850038543344f,\
+ 0.78608208894729614f,0.89965870184823871f,\
+0.43115562805905938f,0.81857266277074814f,0.83410377753898501f,0.55516970623284578f,\
+ 0.51345925079658628f,0.04770902730524540f,0.80747798969969153f,0.80489510949701071f,\
+ 0.78650354826822877f,0.30791273340582848f,\
+0.75731822755187750f,0.53423820668831468f,0.42618893459439278f,0.85448804078623652f,\
+ 0.92601215932518244f,0.94169309409335256f,0.85547966323792934f,0.59637623047456145f,\
+ 0.69515300076454878f,0.18359116325154901f,\
+0.01200280850753188f,0.2255702270194888f,0.34853330114856362f,0.55313225090503693f,\
+ 0.63695094687864184f,0.96132039744406939f,0.50314606027677655f,0.11768362112343311f,\
+ 0.42481321236118674f,0.52963322307914495f}
+
+#define RMATRIX {0.53868199465796351f,0.65326874051243067f,0.37497402401641011f,0.60422550700604916f,\
+ 0.33622304117307067f,0.03531436901539564f,0.33213760564103723f,0.39493087679147720f,\
+ 0.04170337272807956f,0.87363853026181459f,\
+0.65950810909271240f,0.31221040291711688f,0.15333442110568285f,0.66478573577478528f,\
+ 0.44319023378193378f,0.40884594758972526f,0.94536898937076330f,0.67733758920803666f,\
+ 0.18673646822571754f,0.92331133363768458f,\
+0.55921846115961671f,0.75012728199362755f,0.23257926432415843f,0.57102064136415720f,\
+ 0.60969385923817754f,0.67336730472743511f,0.07624059682711959f,0.10437540244311094f,\
+ 0.95672677317634225f,0.19771346449851990f,\
+0.05278092902153730f,0.75808868417516351f,0.17633479088544846f,0.01146994484588504f,\
+ 0.36732212174683809f,0.19948644982650876f,0.52714426256716251f,0.21445603063330054f,\
+ 0.94751045759767294f,0.04272260749712586f,\
+0.03257346292957664f,0.53217577841132879f,0.87635089689865708f,0.15471007302403450f,\
+ 0.25448470888659358f,0.91815057490020990f,0.72509902389720082f,0.87545845471322536f,\
+ 0.05635281419381499f,0.01432112138718367f,\
+0.57406943850219250f,0.80984140699729323f,0.01664119493216276f,0.93888836959376931f,\
+ 0.11264799535274506f,0.66036546928808093f,0.76042845565825701f,0.25908330874517560f,\
+ 0.88014078326523304f,0.70332178613170981f,\
+0.94614937948063016f,0.78529163636267185f,0.20241560926660895f,0.10981105919927359f,\
+ 0.75415370846167207f,0.15320260450243950f,0.59521253732964396f,0.71318271104246378f,\
+ 0.51107599260285497f,0.52125945501029491f}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184f,-0.05416405376783551f,+0.11775191182077104f,+0.08015791690354153f,+0.00011032748454003f,\
+-0.10124210045965254f,0.06720614014223115f,+0.02470873836336094f,-0.07082037296251543f,-0.00621987869853545f}
+
+#define RMATRIXROW {0.01439621349781126f,-0.04697393442028135f,-0.03018604392150223f,0.09765990436118642f,0.01606884471097247f,\
+-0.00604250542333471f,0.02870576510687836f,-0.04985742926427023f,0.12356001472881707f,0.05909180726174274f}
+
+#define IMATRIXCOL {-0.01904810719805961f,+0.04121453132770223f,+0.00378553967089328f,\
++0.10307670507342410f,+0.03497427750676810f,+0.01761849804019567f,-0.10182321471060848f}
+
+#define RMATRIXCOL {-0.02739893277693160f,0.01792852626358409f,-0.02205084134302381f,\
+-0.01012610864032573f,0.07317682977907164f,0.04762062457313784f,0.00849011627117621f}
+
+
+static void  svariancesTest (void ) {
+    
+    float toTest =  svariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+}    
+
+
+static void  srowvariancesTest (void ) {
+    
+    float toTest = srowvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+} 
+
+static void  scolumnvariancesTest (void) {
+    
+    float toTest =  scolumnvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+} 
+
+
+static void  cvariancesTest (void ) {
+    
+    floatComplex toTest = cvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}   
+
+static void  crowvariancesTest (void ) {
+    
+    floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}
+
+static void  ccolumnvariancesTest (void ) {
+    
+    floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}   
+
+
+
+
+
+
+static void  svarianceaTest ( void){
+    
+    float mtoTest[] = MATRIX ;
+    float result = 0.100753297434f;
+    float out = svariancea ( mtoTest , LINES*COLUMNS );  ;
+    
+
+    
+    printf ( "out : %e\t result : %e\t\n" , out , result ) ; 
+    
+
+    
+    assert ( fabs ( out - result ) / fabs( out ) < 1e-06 ) ;
+    
+}
+
+
+static void srowvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    float mtoTest[] = MATRIX ; 
+    float result[COLUMNS] =  MATRIXROW ;
+    float out[COLUMNS]  ;
+    
+    srowvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+    
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+            printf ( "ROWout : %e\t result : %e\t\n" , out[i] , result [i] ) ; 
+           assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ;
+    }
+    
+}
+
+static void scolumnvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    float mtoTest[] = MATRIX ; 
+    float result[LINES] =  MATRIXCOL ;
+    float out[ LINES]  ;
+  
+    
+    
+    scolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+    
+    for ( i = 0 ; i <  LINES ; i++)
+    {
+            printf ( "%dCOLout : %e\t result : %e\t\n" ,i, out[i] , result [i] ) ; 
+         /* assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-05 ) ;*/
+    }
+    
+}
+
+
+
+
+static void  cvarianceaTest ( void){
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    floatComplex Result = FloatComplex ( 0.01225832057910708f , 0.01071188208687752f );
+    
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+    floatComplex out = cvariancea ( mtoTest ,  LINES*COLUMNS );  ;
+    
+            assert ( fabs(  creals(out) -  creals (Result) ) / fabs (creals (out)) < 1e-06 );
+            assert(  fabs(  cimags(out) -  cimags (Result )) / fabs (cimags (out)) < 1e-06 );
+
+    
+}
+
+static void crowvarianceaTest (void ) {
+   
+    int i = 0 ;
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    float  rResult  [] = RMATRIXROW;
+    float  iResult  [] = IMATRIXROW ;
+    
+    floatComplex out[COLUMNS];
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    floatComplex* Result  = FloatComplexMatrix ( rResult  , iResult  , COLUMNS );
+    
+    crowvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+    /*FIXME test failed under 1-e04 precision */
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , creals(out[i])  , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+        assert ( fabs(  creals(out[i]) -  creals (Result[i]) ) / fabs (creals (out[i])) < 3e-6 );
+        assert(  fabs(  cimags(out[i]) -  cimags (Result[i])) / fabs (cimags (out[i])) < 3e-6);
+      
+    }
+}
+
+
+
+static void ccolumnvarianceaTest ( void) {
+        int i = 0 ;
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    float  rResult  [] = RMATRIXCOL;
+    float  iResult  [] = IMATRIXCOL ;
+    
+    floatComplex out[LINES];
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    floatComplex* Result  = FloatComplexMatrix ( rResult  , iResult  , LINES );
+    
+    ccolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+   
+    for ( i = 0 ; i < LINES ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , creals(out[i])  , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+        assert ( fabs(  creals(out[i]) -  creals (Result[i]) ) / fabs (creals (out[i])) < 1e-06 );
+        assert(  fabs(  cimags(out[i]) -  cimags (Result[i])) / fabs (cimags (out[i])) < 1e-06);
+      
+    }
+    
+    
+    
+}
+
+
+
+
+
+static int testFloatVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Float Tests ****\n");
+  printf("*********************\n");
+
+  printf("\n\t>>>>singleton real  Tests\n"); 
+   scolumnvariancesTest () ;   
+  svariancesTest () ;    
+  srowvariancesTest () ;
+
+
+  printf("\n\t>>>>singleton complex  Tests\n");     
+    
+  crowvariancesTest () ;
+  ccolumnvariancesTest () ;
+  cvariancesTest () ;
+    
+    
+    
+  printf("\n\t>>>>array real  Tests\n"); 
+    
+  svarianceaTest () ;    
+  
+  scolumnvarianceaTest () ;   
+  srowvarianceaTest ( );
+    
+    
+  printf("\n\t>>>>array  complex  Tests\n"); 
+    
+  cvarianceaTest () ;  
+  crowvarianceaTest ( );  
+  ccolumnvarianceaTest () ;
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testFloatVariance () == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/variance/testFloatVarianceNono.c b/src/c/statisticsFunctions/variance/testFloatVarianceNono.c
new file mode 100644
index 0000000..a8d2545
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/testFloatVarianceNono.c
@@ -0,0 +1,364 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+#include "assert.h"
+
+static int floatVariance(void){
+
+	int i;
+	
+	
+	/*test 1 */
+	{
+		float matrice[20]={1.0f,5.0f,9.0f,4.0f,8.0f,2.0f,6.0f,1.0f,5.0f,9.0f,3.0f,7.0f,2.0f,6.0f,1.0f,4.0f,8.0f,3.0f,7.0f,2.0f};
+		float out, *outColumns, *outRows;
+		float result= 7.5026315789473692063893f;
+		float resultColumns[5]= {1.6666666666666667406815f ,1.6666666666666667406815f   ,12.916666666666666074548f   ,1.6666666666666667406815f   ,16.666666666666667850905f};
+		float resultRows[4]={10.300000000000000710543f  ,  10.300000000000000710543f  ,  6.7000000000000001776357f ,   6.7000000000000001776357f};
+	
+	
+	
+		outColumns= (float*)malloc((unsigned int)5*sizeof(float));
+		outRows= (float*)malloc((unsigned int)4*sizeof(float));
+	
+		out = svariancea(matrice,20);
+		srowvariancea(matrice,5,4,outRows);
+		scolumnvariancea(matrice,5,4,outColumns);
+	
+	
+		printf("Variance \n");
+		printf("%f\n",out);
+		printf("Row Variance \n");
+		for (i=0;i<4;i++) printf("%f\n",outRows[i]);	
+		printf("Column Variance \n");
+		for (i=0;i<5;i++) printf("%f\n",outColumns[i]);
+	
+	
+		assert(fabs(out-result)/fabs(out) <1e-06);
+		for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-06);
+	
+		for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-06);
+		
+		free(outColumns);
+		free(outRows);
+	}
+	
+	
+	/* test 2 */
+	
+	{
+		float mtovar[70]={0.2113248654641211032867f,0.7560438541695475578308f,0.0002211346291005611420f,
+	 0.3303270917385816574097f,0.6653811042197048664093f,0.6283917883411049842835f,
+	 0.8497452358715236186981f,
+	0.6857310198247432708740f,0.8782164813019335269928f,0.0683740368112921714783f,
+	 0.5608486062847077846527f,0.6623569373041391372681f,0.7263506767340004444122f,
+	 0.1985143842175602912903f,
+	0.5442573162727057933807f,0.2320747897028923034668f,0.2312237196601927280426f,
+	 0.2164632631465792655945f,0.8833887814544141292572f,0.6525134947150945663452f,
+	 0.3076090742833912372589f,
+	0.9329616213217377662659f,0.2146007861010730266571f,0.3126419968903064727783f,
+	 0.3616361008025705814362f,0.2922266637906432151794f,0.5664248815737664699554f,
+	 0.4826471973210573196411f,
+	0.3321718913502991199493f,0.5935094701126217842102f,0.5015341597609221935272f,
+	 0.4368587583303451538086f,0.2693124809302389621735f,0.6325744865462183952332f,
+	 0.4051954015158116817474f,
+	0.9184707831591367721558f,0.0437334333546459674835f,0.4818508932366967201233f,
+	 0.2639556000940501689911f,0.4148103706538677215576f,0.2806498021818697452545f,
+	 0.1280058464035391807556f,
+	0.7783128595910966396332f,0.2119030449539422988892f,0.1121354666538536548615f,
+	 0.6856895955279469490051f,0.1531216683797538280487f,0.6970850601792335510254f,
+	 0.8415518426336348056793f,
+	0.4062024755403399467468f,0.4094825475476682186127f,0.8784125801175832748413f,
+	 0.1138359685428440570831f,0.1998337740078568458557f,0.5618660743348300457001f,
+	 0.5896177329123020172119f,
+	0.6853979662992060184479f,0.8906224733218550682068f,0.5042212805710732936859f,
+	 0.3493615407496690750122f,0.3873778772540390491486f,0.9222898678854107856751f,
+	 0.9488184261135756969452f,
+	0.3435337245464324951172f,0.3760118731297552585602f,0.7340940563008189201355f,
+	 0.2615761472843587398529f,0.4993493836373090744019f,0.2638578419573605060577f,
+	 0.5253563085570931434631f};
+		float out2, *outColumns2, *outRows2;
+	 	float result2=     0.0651863337585355667736f  ;
+		float resultColumns2[7]= {0.0650391675869589902526f  ,
+	    0.0913789208052724344356f  ,
+	    0.0837863718398224738282f  ,
+	    0.0281545517812518443501f  ,
+	    0.0549594706400152802073f  ,
+	    0.0389978730537587012228f  ,
+	    0.0796657637071630925218f  ,
+	 };
+		float resultRows2[10]={0.0988544518240001696130f  ,  0.0874673050908554156058f  ,  0.0678199050579095519264f,    0.0591380787668954188696f   , 0.0175386373980947855855f ,0.0831815708684833926556f  ,  0.1035239817400336881370f,   0.0657802543744439444096f  ,  0.0667446022405332184402f  ,  0.0287884625084994134891f};
+	
+	
+		outColumns2= (float*)malloc((unsigned int)7*sizeof(float));
+		outRows2= (float*)malloc((unsigned int)10*sizeof(float));
+	
+	
+	
+		out2 = svariancea(mtovar,70);
+		srowvariancea(mtovar,7,10,outRows2);
+		scolumnvariancea(mtovar,7,10,outColumns2);
+	
+	
+		printf("Variance 2 \n");
+		printf("%f\n",out2);
+		printf("Row Variance 2 \n");
+		for (i=0;i<10;i++) printf("%f\n",outRows2[i]);	
+		printf("Column Variance 2 \n");
+		for (i=0;i<7;i++) printf("%f\n",outColumns2[i]);
+	
+		assert(fabs(out2-result2)/fabs(out2) <1e-06);
+		for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-06);
+	
+		for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-06);
+		
+		free(outColumns2);
+		free(outRows2);	
+	
+	}
+	
+	
+	return 0;
+}
+
+
+static int floatComplexVariance(void){
+	int i;
+	
+	/* test 1 */
+	{
+		float inR[6]={0.9677053210325539112091f,0.5068534435704350471497f,0.523297640960663557053f,0.5596947595477104187012f,
+		0.5617307000793516635895f,0.468176002614200115204f};
+		float inI[6]={0.7794546722434461116791f,0.7901071812957525253296f,0.9808542062528431415558f,0.8187066102400422096252f,
+		0.4256872381083667278290f,0.2461560554802417755127f};
+		float varianceR=- 0.0428404140538702279950f;
+		float varianceI=0.0257955584577409802183f;
+		float rowVarianceR[3]={0.106135488505625180666f,- 0.0124835463256454722719f,- 0.01173948205902856229f};
+		float rowVarianceI[3]={- 0.0049092287964376275095f,- 0.0059017052806824826100f,0.0167959854763351026929f};
+		float colVarianceR[2]={- 0.0183554755457089394111f,- 0.1019751767306446843531f};
+		float colVarianceI[2]={0.0109267784648201249365f,0.0249829946888768111846f};
+		floatComplex *in, *rowVariance, *colVariance;
+		floatComplex out, *outRow, *outCol;
+		
+		in= (floatComplex*)malloc ((unsigned int)6*sizeof(floatComplex));
+		outRow= (floatComplex*)malloc ((unsigned int)3*sizeof(floatComplex));
+		outCol= (floatComplex*)malloc ((unsigned int)2*sizeof(floatComplex));
+		
+		in=FloatComplexMatrix(inR,inI,6);
+		rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,3);
+		colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,2);
+		
+		
+		out=cvariancea(in,6);
+		printf("Variance \n");
+		printf("%f + %f *i\n",creals(out),cimags(out));
+		
+		assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6);
+		assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <1e-6);
+		
+		
+		
+		
+		
+		crowvariancea(in,2,3,outRow);
+		printf("Row Variance \n");
+		for (i=0;i<3;i++)	printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i]));	
+			
+			
+		for (i=0;i<3;i++){
+			assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6);
+			assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-5);
+		}
+		
+		
+		
+		ccolumnvariancea(in,2,3,outCol);		
+		printf("Column Variance \n");
+		for (i=0;i<2;i++) printf("%f + %f *i\n",creals(outCol[i]),cimags(outCol[i]));
+				
+		
+		for (i=0;i<2;i++){
+			assert(fabs(creals(outCol[i])-colVarianceR[i])/fabs(creals(outCol[i])) <1e-6);			
+			assert(fabs(cimags(outCol[i])-colVarianceI[i])/fabs(cimags(outCol[i])) <3e-6);			
+		}
+		
+		free(in);
+		free(outCol);
+		free(outRow);
+		
+		
+	}
+	
+	
+	printf("\n");
+	printf("\n");
+	printf("\n");
+	printf("\n");
+	
+	
+	/* test 2 */
+	{
+		float inR[70]={0.0453502028249204158783f,0.2029444333165884017944f,0.7844273825176060199738f,
+ 0.2637536162510514259338f,0.4383276398293673992157f,0.866485897451639175415f,
+ 0.3792142109014093875885f,0.7668716078624129295349f,0.6006621322594583034515f,
+ 0.7856735605746507644653f,
+0.7387115550227463245392f,0.5544260339811444282532f,0.9929149555973708629608f,
+ 0.9757428467273712158203f,0.3709622272290289402008f,0.3032238213345408439636f,
+ 0.9519520117901265621185f,0.7127858083695173263550f,0.119237006176263093948f,
+ 0.5009163180366158485413f,
+0.3290053526870906352997f,0.4808946810662746429443f,0.3303695977665483951569f,
+ 0.6304475357756018638611f,0.2117190784774720668793f,0.4486023131757974624634f,
+ 0.5914509710855782032013f,0.6806742670014500617981f,0.0739296111278235912323f,
+ 0.9433694705367088317871f,
+0.1286330693401396274567f,0.2019080771133303642273f,0.1969303428195416927338f,
+ 0.8928690161556005477905f,0.4617918957956135272980f,0.6251291716471314430237f,
+ 0.7059706593863666057587f,0.7018169648945331573486f,0.4087999747134745121002f,
+ 0.0636221384629607200623f,
+0.0657393387518823146820f,0.5331004131585359573364f,0.0331581872887909412384f,
+ 0.3157835649326443672180f,0.3785823243670165538788f,0.4619523435831069946289f,
+ 0.6287369825877249240875f,0.2878515301272273063660f,0.3292048736475408077240f,
+ 0.4719233047217130661011f,
+0.3353769634850323200226f,0.5553069720044732093811f,0.1196080814115703105927f,
+ 0.7613999657332897186279f,0.4790988476015627384186f,0.2816969295963644981384f,
+ 0.2380097783170640468597f,0.3294205460697412490845f,0.2306728032417595386505f,
+ 0.2136296601966023445129f,
+0.4054998042993247509003f,0.3095371201634407043457f,0.6762971603311598300934f,
+ 0.970691631548106670380f,0.5441796570084989070892f,0.0204747971147298812866f,
+ 0.8941364963538944721222f,0.3490363890305161476135f,0.1105365152470767498016f,
+ 0.2023377753794193267822f};
+		float inI[70]={1.0377217042259871959686f,1.9830380710773169994354f,-0.6786614381708204746246f,
+ -1.7368789152242243289948f,0.6849579229019582271576f,-1.9756898251362144947052f, 0.9018773441202938556671f,0.4113956945948302745819f,0.0771432374604046344757f,
+ -2.6145569621585309505463f,
+-0.8694803346879780292511f,1.1954508102498948574066f,1.0175080369226634502411f,
+ -1.86952689336612820625f,1.6495719677768647670746f,-1.1282413271255791187286f,
+ 1.7159116868861019611359f,1.3512618443928658962250f,1.6467350018210709095001f,
+ -4.3247690196149051189423f,
+-1.1214177873916923999786f,0.3549467395059764385223f,1.5090364827774465084076f,
+ 0.0271988785825669765472f,-0.3927204073406755924225f,-2.2866433826275169849396f,
+ 2.4531399612314999103546f,1.2140426929108798503876f,0.1123848785646259784699f,
+ -1.2278760573826730251312f,
+0.5748759503476321697235f,0.1001535071991384029388f,0.7154782521538436412811f,
+ -0.3598340046592056751251f,0.1114491275511682033539f,-1.0214430955238640308380f,
+ 1.8411546354182064533234f,1.3313704966567456722260f,0.107393887359648942947f,
+ -2.1405860441736876964569f,
+-0.1921784919686615467072f,-0.0941377175040543079376f,-0.3007089742459356784821f,
+ -1.6332105011679232120514f,-0.9827875629998743534088f,-4.0793808070011436939240f,
+ 1.6021160488016903400421f,0.5996482106857001781464f,-1.0103867049328982830048f,
+ -1.9795853956602513790131f,
+-0.7019297261722385883331f,0.1910370937548577785492f,0.5148729826323688030243f,
+ -1.2210475285537540912628f,1.4409833527170121669769f,-2.0624672439880669116974f,
+ 2.2999203805811703205109f,1.6434787488542497158051f,-0.0813916879706084728241f,
+ -4.3653216282837092876434f,
+0.0896512451581656932831f,1.4530082489363849163055f,-0.1911182911135256290436f,
+ -1.5278804996050894260406f,-0.8655951828695833683014f,-2.6959278550930321216583f,
+ 1.089711368549615144730f,0.2611377011053264141083f,-0.0787748913280665874481f,
+ -1.675187868531793355942f};
+ 		float varianceR=- 2.3201230329620456949158f;
+		float varianceI=0.0135359053960125846894f;
+		float rowVarianceR[7]={- 2.1748250359163439071608f,- 4.0055927597555047725564f,- 1.9380991813636070375537f,- 1.211164632384367667584f,
+		- 2.3819157100812309302285f,- 3.865411523472068289209f,- 1.5488286339908912125907f};
+		float rowVarianceI[7]={- 0.5161401892195496277083f,- 0.0302397956223948334575f,0.0072526988331105511632f,0.2035074619460965072992f,
+		- 0.0227578793067023492369f,0.0176453877563822227048f,0.2048099414748655033858f};
+		float colVarianceR[10]={ - 0.5673920596394929072304f, 
+						  - 0.6095831761740567733554f,  
+						  - 0.4837275005370789138226f,
+						  - 0.4518709923747168399899f,
+						  - 1.1155710732654480210613f,
+						  - 0.9922425930742954092168f,
+						  - 0.2615272073355465187738f,
+						  - 0.2448899237808548345896f,
+						  - 0.5783271525148965253038f,
+						  - 1.4662540245146995498970f };
+		float colVarianceI[10]={ - 0.2519451287679840834066f,
+						  - 0.1132720366896080160801f,
+						  - 0.0393753052279357945720f , 
+						  0.0678956480014177715665f  ,
+						  0.0165011281984272333012f  ,
+						  0.1043646242921155153915f  ,
+						  - 0.0697520473529744805541f , 
+						  0.0395755738577838397929f  ,
+						  - 0.0906906077772287183558f , 
+						  0.2030521845859689644698f  };
+		floatComplex *in, *rowVariance, *colVariance;
+		floatComplex out, *outRow, *outCol;
+		
+		in= (floatComplex*)malloc ((unsigned int)70*sizeof(floatComplex));
+		outRow= (floatComplex*)malloc ((unsigned int)7*sizeof(floatComplex));
+		outCol= (floatComplex*)malloc ((unsigned int)10*sizeof(floatComplex));
+		
+		in=FloatComplexMatrix(inR,inI,70);
+		rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,7);
+		colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,10);
+		
+		
+		out=cvariancea(in,70);
+		printf("Variance 2 \n");
+		printf("%f + %f *i\n",creals(out),cimags(out));
+		
+		assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6);
+		assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <3e-5);
+		
+		
+		
+		
+		
+		crowvariancea(in,10,7,outRow);
+		printf("Row Variance 2 \n");
+		for (i=0;i<7;i++)	printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i]));	
+			
+			
+		for (i=0;i<7;i++){
+			assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6);
+			assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-5);
+		}
+		
+		
+		
+		ccolumnvariancea(in,10,7,outCol);		
+		printf("Column Variance 2 \n");
+		for (i=0;i<10;i++) printf("%f + %f *i\n",creals(outCol[i]),cimags(outCol[i]));
+				
+		
+		for (i=0;i<10;i++){
+			assert(fabs(creals(outCol[i])-colVarianceR[i])/fabs(creals(outCol[i])) <1e-6);			
+			assert(fabs(cimags(outCol[i])-colVarianceI[i])/fabs(cimags(outCol[i])) <3e-6);			
+		}
+		
+		free(in);
+		free(outCol);
+		free(outRow);
+	}
+	
+	return 0;
+}
+
+
+
+
+
+static int testFloatVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Float  Tests Nono****\n");
+  printf("*********************\n");
+	assert(floatVariance()==0);
+	assert(floatComplexVariance()==0);
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testFloatVariance () == 0);
+  return 0;
+}
+
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index 0000000..51b2535
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new file mode 100644
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+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">CompileAsCpp</CompileAs>

+      <CompileAs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">CompileAsCpp</CompileAs>

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new file mode 100644
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diff --git a/src/c/statisticsFunctions/variance/zcolumnvariancea.c b/src/c/statisticsFunctions/variance/zcolumnvariancea.c
new file mode 100644
index 0000000..bba8030
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zcolumnvariancea.c
@@ -0,0 +1,34 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variance.h"
+
+void zcolumnvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){
+    
+    int i = 0 ;
+    
+    doubleComplex* transp = (doubleComplex*) malloc ( sizeof (doubleComplex) *(unsigned int) (lines*columns));
+
+    
+    
+    ztransposea ( in , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = zvariancea ( transp + i*columns , columns ) ;
+    
+
+    free (transp);
+
+}
+
diff --git a/src/c/statisticsFunctions/variance/zrowvariancea.c b/src/c/statisticsFunctions/variance/zrowvariancea.c
new file mode 100644
index 0000000..285889a
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zrowvariancea.c
@@ -0,0 +1,21 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+void zrowvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){
+    
+    int i = 0 ;
+    
+    for ( i = 0; i < columns ; i++)
+    out[i] = zvariancea ( in + i*lines , lines ) ;
+}
diff --git a/src/c/statisticsFunctions/variance/zvariancea.c b/src/c/statisticsFunctions/variance/zvariancea.c
new file mode 100644
index 0000000..92e2667
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/zvariancea.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variance.h"
+
+doubleComplex	zvariancea(doubleComplex *in, int size)
+{
+    int i = 0 ;
+    
+    doubleComplex sum  = DoubleComplex ( 0 , 0 ) ;
+    doubleComplex temp = DoubleComplex ( 0 , 0 ) ; 
+    doubleComplex variance = DoubleComplex ( 0 , 0 );
+    doubleComplex mean =  zmeana ( in , size ) ;
+
+    for ( i = 0 ; i < size ; i++)
+    {
+       temp = zdiffs( in[i] , mean ) ;
+       sum  = zadds ( sum , zpows ( temp  , DoubleComplex ( 2, 0) ) ); 
+      }
+ 
+    variance = zrdivs (sum , DoubleComplex ( (size - 1),0 ));
+  
+    return variance ;
+
+}
+
diff --git a/src/c/statisticsFunctions/variancef/Makefile.am b/src/c/statisticsFunctions/variancef/Makefile.am
new file mode 100644
index 0000000..804025b
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/Makefile.am
@@ -0,0 +1,89 @@
+##
+##  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+##  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+##
+##  This file must be used under the terms of the CeCILL.
+##  This source file is licensed as described in the file COPYING, which
+##  you should have received as part of this distribution.  The terms
+##  are also available at
+##  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+##
+##
+
+libvariancef_la_CFLAGS =	-I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+
+pkglib_LTLIBRARIES =	libvariancef.la
+
+libvariancef_la_SOURCES =	$(HEAD) $(SRC)
+
+SRC	=	svariancefa.c \
+		scolumnvariancefa.c \
+		dvariancefa.c \
+		srowvariancefa.c \
+		drowvariancefa.c \
+		dcolumnvariancefa.c \
+		cvariancefa.c \
+		crowvariancefa.c \
+		ccolumnvariancefa.c \
+		zvariancefa.c \
+		zrowvariancefa.c \
+		zcolumnvariancefa.c
+
+HEAD	=	../includes/variancef.h
+
+####
+# Checking Part
+####
+
+check_INCLUDES	=	-I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD	=	$(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/statisticsFunctions/variancef/libvariancef.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+check_PROGRAMS	= 	testFloatVariancef testDoubleVariancef
+
+TESTS		=	testFloatVariancef testDoubleVariancef
+
+#
+# -*- variancef Tests -*-
+#
+testFloatVariancef_SOURCES = testFloatVariancef.c
+testFloatVariancef_CFLAGS =	$(check_INCLUDES)
+testFloatVariancef_LDADD =	$(check_LDADD)
+
+testDoubleVariancef_SOURCES =testDoubleVariancef.c
+testDoubleVariancef_CFLAGS =	$(check_INCLUDES)
+testDoubleVariancef_LDADD =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/variancef/Makefile.in b/src/c/statisticsFunctions/variancef/Makefile.in
new file mode 100644
index 0000000..9cbd3df
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/Makefile.in
@@ -0,0 +1,886 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
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+NORMAL_UNINSTALL = :
+PRE_UNINSTALL = :
+POST_UNINSTALL = :
+build_triplet = @build@
+host_triplet = @host@
+check_PROGRAMS = testFloatVariancef$(EXEEXT) \
+	testDoubleVariancef$(EXEEXT)
+TESTS = testFloatVariancef$(EXEEXT) testDoubleVariancef$(EXEEXT)
+subdir = src/c/statisticsFunctions/variancef
+DIST_COMMON = $(srcdir)/Makefile.am $(srcdir)/Makefile.in
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+CONFIG_CLEAN_VPATH_FILES =
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+ac_ct_DUMPBIN = @ac_ct_DUMPBIN@
+ac_ct_F77 = @ac_ct_F77@
+am__include = @am__include@
+am__leading_dot = @am__leading_dot@
+am__quote = @am__quote@
+am__tar = @am__tar@
+am__untar = @am__untar@
+bindir = @bindir@
+build = @build@
+build_alias = @build_alias@
+build_cpu = @build_cpu@
+build_os = @build_os@
+build_vendor = @build_vendor@
+builddir = @builddir@
+datadir = @datadir@
+datarootdir = @datarootdir@
+docdir = @docdir@
+dvidir = @dvidir@
+exec_prefix = @exec_prefix@
+host = @host@
+host_alias = @host_alias@
+host_cpu = @host_cpu@
+host_os = @host_os@
+host_vendor = @host_vendor@
+htmldir = @htmldir@
+includedir = @includedir@
+infodir = @infodir@
+install_sh = @install_sh@
+libdir = @libdir@
+libexecdir = @libexecdir@
+localedir = @localedir@
+localstatedir = @localstatedir@
+lt_ECHO = @lt_ECHO@
+mandir = @mandir@
+mkdir_p = @mkdir_p@
+oldincludedir = @oldincludedir@
+pdfdir = @pdfdir@
+prefix = @prefix@
+program_transform_name = @program_transform_name@
+psdir = @psdir@
+sbindir = @sbindir@
+sharedstatedir = @sharedstatedir@
+srcdir = @srcdir@
+sysconfdir = @sysconfdir@
+target_alias = @target_alias@
+top_build_prefix = @top_build_prefix@
+top_builddir = @top_builddir@
+top_srcdir = @top_srcdir@
+libvariancef_la_CFLAGS = -I $(top_builddir)/src/c/type \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I ../includes
+
+instdir = $(top_builddir)/lib
+pkglib_LTLIBRARIES = libvariancef.la
+libvariancef_la_SOURCES = $(HEAD) $(SRC)
+SRC = svariancefa.c \
+		scolumnvariancefa.c \
+		dvariancefa.c \
+		srowvariancefa.c \
+		drowvariancefa.c \
+		dcolumnvariancefa.c \
+		cvariancefa.c \
+		crowvariancefa.c \
+		ccolumnvariancefa.c \
+		zvariancefa.c \
+		zrowvariancefa.c \
+		zcolumnvariancefa.c
+
+HEAD = ../includes/variancef.h
+
+####
+# Checking Part
+####
+check_INCLUDES = -I $(top_builddir)/src/c/statisticsFunctions/includes \
+			-I $(top_builddir)/src/c/elementaryFunctions/includes \
+			-I $(top_builddir)/src/c/matrixOperations/includes \
+			-I $(top_builddir)/src/c/operations/includes \
+			-I $(top_builddir)/src/c/type
+
+check_LDADD = $(top_builddir)/src/c/type/libDoubleComplex.la \
+			$(top_builddir)/src/c/type/libFloatComplex.la \
+			$(top_builddir)/src/c/operations/addition/libAddition.la \
+			$(top_builddir)/src/c/operations/subtraction/libSubtraction.la \
+			$(top_builddir)/src/fortran/lapack/libscilapack.la \
+			$(top_builddir)/src/c/statisticsFunctions/variancef/libvariancef.la \
+			$(top_builddir)/src/c/statisticsFunctions/sum/libSum.la \
+			$(top_builddir)/src/c/statisticsFunctions/meanf/libMeanf.la \
+			$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+			$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
+			$(top_builddir)/src/c/elementaryFunctions/exp/libExp.la \
+			$(top_builddir)/src/c/elementaryFunctions/cos/libCos.la \
+			$(top_builddir)/src/c/elementaryFunctions/sin/libSin.la \
+			$(top_builddir)/src/c/elementaryFunctions/cosh/libCosh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sinh/libSinh.la \
+			$(top_builddir)/src/c/elementaryFunctions/sqrt/libSqrt.la \
+			$(top_builddir)/src/c/elementaryFunctions/log1p/libLog1p.la \
+			$(top_builddir)/src/c/elementaryFunctions/lnp1m1/libLnp1m1.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/pythag/libPythag.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/abs/libAbs.la \
+			$(top_builddir)/src/c/matrixOperations/transpose/libMatrixTranspose.la \
+			$(top_builddir)/src/c/operations/multiplication/libMultiplication.la \
+			$(top_builddir)/src/c/operations/division/libDivision.la \
+			$(top_builddir)/src/c/auxiliaryFunctions/conj/libConj.la \
+			@LIBMATH@
+
+
+#
+# -*- variancef Tests -*-
+#
+testFloatVariancef_SOURCES = testFloatVariancef.c
+testFloatVariancef_CFLAGS = $(check_INCLUDES)
+testFloatVariancef_LDADD = $(check_LDADD)
+testDoubleVariancef_SOURCES = testDoubleVariancef.c
+testDoubleVariancef_CFLAGS = $(check_INCLUDES)
+testDoubleVariancef_LDADD = $(check_LDADD)
+all: all-am
+
+.SUFFIXES:
+.SUFFIXES: .c .lo .o .obj
+$(srcdir)/Makefile.in: @MAINTAINER_MODE_TRUE@ $(srcdir)/Makefile.am  $(am__configure_deps)
+	@for dep in $?; do \
+	  case '$(am__configure_deps)' in \
+	    *$$dep*) \
+	      ( cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh ) \
+	        && { if test -f $@; then exit 0; else break; fi; }; \
+	      exit 1;; \
+	  esac; \
+	done; \
+	echo ' cd $(top_srcdir) && $(AUTOMAKE) --foreign src/c/statisticsFunctions/variancef/Makefile'; \
+	$(am__cd) $(top_srcdir) && \
+	  $(AUTOMAKE) --foreign src/c/statisticsFunctions/variancef/Makefile
+.PRECIOUS: Makefile
+Makefile: $(srcdir)/Makefile.in $(top_builddir)/config.status
+	@case '$?' in \
+	  *config.status*) \
+	    cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh;; \
+	  *) \
+	    echo ' cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe)'; \
+	    cd $(top_builddir) && $(SHELL) ./config.status $(subdir)/$@ $(am__depfiles_maybe);; \
+	esac;
+
+$(top_builddir)/config.status: $(top_srcdir)/configure $(CONFIG_STATUS_DEPENDENCIES)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+
+$(top_srcdir)/configure: @MAINTAINER_MODE_TRUE@ $(am__configure_deps)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+$(ACLOCAL_M4): @MAINTAINER_MODE_TRUE@ $(am__aclocal_m4_deps)
+	cd $(top_builddir) && $(MAKE) $(AM_MAKEFLAGS) am--refresh
+$(am__aclocal_m4_deps):
+install-pkglibLTLIBRARIES: $(pkglib_LTLIBRARIES)
+	@$(NORMAL_INSTALL)
+	test -z "$(pkglibdir)" || $(MKDIR_P) "$(DESTDIR)$(pkglibdir)"
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	list2=; for p in $$list; do \
+	  if test -f $$p; then \
+	    list2="$$list2 $$p"; \
+	  else :; fi; \
+	done; \
+	test -z "$$list2" || { \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 '$(DESTDIR)$(pkglibdir)'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=install $(INSTALL) $(INSTALL_STRIP_FLAG) $$list2 "$(DESTDIR)$(pkglibdir)"; \
+	}
+
+uninstall-pkglibLTLIBRARIES:
+	@$(NORMAL_UNINSTALL)
+	@list='$(pkglib_LTLIBRARIES)'; test -n "$(pkglibdir)" || list=; \
+	for p in $$list; do \
+	  $(am__strip_dir) \
+	  echo " $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f '$(DESTDIR)$(pkglibdir)/$$f'"; \
+	  $(LIBTOOL) $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=uninstall rm -f "$(DESTDIR)$(pkglibdir)/$$f"; \
+	done
+
+clean-pkglibLTLIBRARIES:
+	-test -z "$(pkglib_LTLIBRARIES)" || rm -f $(pkglib_LTLIBRARIES)
+	@list='$(pkglib_LTLIBRARIES)'; for p in $$list; do \
+	  dir="`echo $$p | sed -e 's|/[^/]*$$||'`"; \
+	  test "$$dir" != "$$p" || dir=.; \
+	  echo "rm -f \"$${dir}/so_locations\""; \
+	  rm -f "$${dir}/so_locations"; \
+	done
+libvariancef.la: $(libvariancef_la_OBJECTS) $(libvariancef_la_DEPENDENCIES) 
+	$(libvariancef_la_LINK) -rpath $(pkglibdir) $(libvariancef_la_OBJECTS) $(libvariancef_la_LIBADD) $(LIBS)
+
+clean-checkPROGRAMS:
+	@list='$(check_PROGRAMS)'; test -n "$$list" || exit 0; \
+	echo " rm -f" $$list; \
+	rm -f $$list || exit $$?; \
+	test -n "$(EXEEXT)" || exit 0; \
+	list=`for p in $$list; do echo "$$p"; done | sed 's/$(EXEEXT)$$//'`; \
+	echo " rm -f" $$list; \
+	rm -f $$list
+testDoubleVariancef$(EXEEXT): $(testDoubleVariancef_OBJECTS) $(testDoubleVariancef_DEPENDENCIES) 
+	@rm -f testDoubleVariancef$(EXEEXT)
+	$(testDoubleVariancef_LINK) $(testDoubleVariancef_OBJECTS) $(testDoubleVariancef_LDADD) $(LIBS)
+testFloatVariancef$(EXEEXT): $(testFloatVariancef_OBJECTS) $(testFloatVariancef_DEPENDENCIES) 
+	@rm -f testFloatVariancef$(EXEEXT)
+	$(testFloatVariancef_LINK) $(testFloatVariancef_OBJECTS) $(testFloatVariancef_LDADD) $(LIBS)
+
+mostlyclean-compile:
+	-rm -f *.$(OBJEXT)
+
+distclean-compile:
+	-rm -f *.tab.c
+
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-ccolumnvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-crowvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-cvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-dcolumnvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-drowvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-dvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-scolumnvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-srowvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-svariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-zcolumnvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-zrowvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/libvariancef_la-zvariancefa.Plo@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/testDoubleVariancef-testDoubleVariancef.Po@am__quote@
+@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/testFloatVariancef-testFloatVariancef.Po@am__quote@
+
+.c.o:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Po
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(COMPILE) -c $<
+
+.c.obj:
+@am__fastdepCC_TRUE@	$(COMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ `$(CYGPATH_W) '$<'`
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Po
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=no @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(COMPILE) -c `$(CYGPATH_W) '$<'`
+
+.c.lo:
+@am__fastdepCC_TRUE@	$(LTCOMPILE) -MT $@ -MD -MP -MF $(DEPDIR)/$*.Tpo -c -o $@ $<
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/$*.Tpo $(DEPDIR)/$*.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='$<' object='$@' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LTCOMPILE) -c -o $@ $<
+
+libvariancef_la-svariancefa.lo: svariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-svariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-svariancefa.Tpo -c -o libvariancef_la-svariancefa.lo `test -f 'svariancefa.c' || echo '$(srcdir)/'`svariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-svariancefa.Tpo $(DEPDIR)/libvariancef_la-svariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='svariancefa.c' object='libvariancef_la-svariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-svariancefa.lo `test -f 'svariancefa.c' || echo '$(srcdir)/'`svariancefa.c
+
+libvariancef_la-scolumnvariancefa.lo: scolumnvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-scolumnvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-scolumnvariancefa.Tpo -c -o libvariancef_la-scolumnvariancefa.lo `test -f 'scolumnvariancefa.c' || echo '$(srcdir)/'`scolumnvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-scolumnvariancefa.Tpo $(DEPDIR)/libvariancef_la-scolumnvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='scolumnvariancefa.c' object='libvariancef_la-scolumnvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-scolumnvariancefa.lo `test -f 'scolumnvariancefa.c' || echo '$(srcdir)/'`scolumnvariancefa.c
+
+libvariancef_la-dvariancefa.lo: dvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-dvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-dvariancefa.Tpo -c -o libvariancef_la-dvariancefa.lo `test -f 'dvariancefa.c' || echo '$(srcdir)/'`dvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-dvariancefa.Tpo $(DEPDIR)/libvariancef_la-dvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='dvariancefa.c' object='libvariancef_la-dvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-dvariancefa.lo `test -f 'dvariancefa.c' || echo '$(srcdir)/'`dvariancefa.c
+
+libvariancef_la-srowvariancefa.lo: srowvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-srowvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-srowvariancefa.Tpo -c -o libvariancef_la-srowvariancefa.lo `test -f 'srowvariancefa.c' || echo '$(srcdir)/'`srowvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-srowvariancefa.Tpo $(DEPDIR)/libvariancef_la-srowvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='srowvariancefa.c' object='libvariancef_la-srowvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-srowvariancefa.lo `test -f 'srowvariancefa.c' || echo '$(srcdir)/'`srowvariancefa.c
+
+libvariancef_la-drowvariancefa.lo: drowvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-drowvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-drowvariancefa.Tpo -c -o libvariancef_la-drowvariancefa.lo `test -f 'drowvariancefa.c' || echo '$(srcdir)/'`drowvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-drowvariancefa.Tpo $(DEPDIR)/libvariancef_la-drowvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='drowvariancefa.c' object='libvariancef_la-drowvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-drowvariancefa.lo `test -f 'drowvariancefa.c' || echo '$(srcdir)/'`drowvariancefa.c
+
+libvariancef_la-dcolumnvariancefa.lo: dcolumnvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-dcolumnvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-dcolumnvariancefa.Tpo -c -o libvariancef_la-dcolumnvariancefa.lo `test -f 'dcolumnvariancefa.c' || echo '$(srcdir)/'`dcolumnvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-dcolumnvariancefa.Tpo $(DEPDIR)/libvariancef_la-dcolumnvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='dcolumnvariancefa.c' object='libvariancef_la-dcolumnvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-dcolumnvariancefa.lo `test -f 'dcolumnvariancefa.c' || echo '$(srcdir)/'`dcolumnvariancefa.c
+
+libvariancef_la-cvariancefa.lo: cvariancefa.c
+@am__fastdepCC_TRUE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -MT libvariancef_la-cvariancefa.lo -MD -MP -MF $(DEPDIR)/libvariancef_la-cvariancefa.Tpo -c -o libvariancef_la-cvariancefa.lo `test -f 'cvariancefa.c' || echo '$(srcdir)/'`cvariancefa.c
+@am__fastdepCC_TRUE@	$(am__mv) $(DEPDIR)/libvariancef_la-cvariancefa.Tpo $(DEPDIR)/libvariancef_la-cvariancefa.Plo
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	source='cvariancefa.c' object='libvariancef_la-cvariancefa.lo' libtool=yes @AMDEPBACKSLASH@
+@AMDEP_TRUE@@am__fastdepCC_FALSE@	DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) @AMDEPBACKSLASH@
+@am__fastdepCC_FALSE@	$(LIBTOOL)  --tag=CC $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(CC) $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) $(libvariancef_la_CFLAGS) $(CFLAGS) -c -o libvariancef_la-cvariancefa.lo `test -f 'cvariancefa.c' || echo '$(srcdir)/'`cvariancefa.c
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+.PHONY: CTAGS GTAGS all all-am check check-TESTS check-am clean \
+	clean-checkPROGRAMS clean-generic clean-libtool \
+	clean-pkglibLTLIBRARIES ctags distclean distclean-compile \
+	distclean-generic distclean-libtool distclean-tags distdir dvi \
+	dvi-am html html-am info info-am install install-am \
+	install-data install-data-am install-dvi install-dvi-am \
+	install-exec install-exec-am install-html install-html-am \
+	install-info install-info-am install-man install-pdf \
+	install-pdf-am install-pkglibLTLIBRARIES install-ps \
+	install-ps-am install-strip installcheck installcheck-am \
+	installdirs maintainer-clean maintainer-clean-generic \
+	mostlyclean mostlyclean-compile mostlyclean-generic \
+	mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \
+	uninstall-am uninstall-pkglibLTLIBRARIES
+
+
+# Tell versions [3.59,3.63) of GNU make to not export all variables.
+# Otherwise a system limit (for SysV at least) may be exceeded.
+.NOEXPORT:
diff --git a/src/c/statisticsFunctions/variancef/ccolumnvariancefa.c b/src/c/statisticsFunctions/variancef/ccolumnvariancefa.c
new file mode 100644
index 0000000..4b00a08
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/ccolumnvariancefa.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variancef.h"
+#include "matrixTranspose.h"
+
+void ccolumnvariancefa(floatComplex *in1, int lines, int columns,floatComplex *in2, floatComplex* out){
+    
+    int i = 0 ;
+    
+    floatComplex* transp = (floatComplex*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+    
+    
+    ctransposea ( in1 , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = cvariancefa ( transp + i*columns , columns , in2 ) ;
+    
+
+    free (transp);
+    
+
+}
diff --git a/src/c/statisticsFunctions/variancef/crowvariancefa.c b/src/c/statisticsFunctions/variancef/crowvariancefa.c
new file mode 100644
index 0000000..1e4f854
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/crowvariancefa.c
@@ -0,0 +1,22 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+
+void crowvariancefa(floatComplex *in1, int lines, int columns,floatComplex *in2, floatComplex* out){
+    
+    int i = 0 ;
+    
+    for ( i = 0; i < columns ; i++)
+    out[i] = cvariancefa ( in1 + i*lines , lines , in2) ;
+}
+
diff --git a/src/c/statisticsFunctions/variancef/cvariancefa.c b/src/c/statisticsFunctions/variancef/cvariancefa.c
new file mode 100644
index 0000000..4f4871c
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/cvariancefa.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+#include "division.h"
+
+floatComplex cvariancefa(floatComplex *in1, int size, floatComplex *in2)
+
+{
+  int i = 0 ;
+  floatComplex temp = FloatComplex (0.0f, 0.0f );
+  floatComplex accumulate =FloatComplex (0.0f, 0.0f );
+  floatComplex accumulateFre = FloatComplex (0.0f, 0.0f );
+
+  floatComplex meanf = cmeanfa (in1 , size , in2);
+
+  for(i = 0 ; i < size ; ++i)
+    {
+     temp = cpows (  cdiffs (in1[i] , meanf ) ,FloatComplex (2.0f, 0.0f ) );
+     temp = cmuls( in2[i] , temp);
+
+     accumulate = cadds( temp , accumulate);
+     accumulateFre =  cadds (in2[i] ,accumulateFre );
+    }
+  return crdivs (accumulate , cdiffs (accumulateFre ,FloatComplex(1.0f,0.0f))   ); 
+}
diff --git a/src/c/statisticsFunctions/variancef/dcolumnvariancefa.c b/src/c/statisticsFunctions/variancef/dcolumnvariancefa.c
new file mode 100644
index 0000000..686e6de
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/dcolumnvariancefa.c
@@ -0,0 +1,33 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+#include "matrixTranspose.h"
+
+void dcolumnvariancefa(double *in1, int lines, int columns, double *in2, double* out){
+    
+    int i = 0 ;
+    
+    double* transp = (double*) malloc ( sizeof (double) *(unsigned int) (lines*columns));
+
+    
+    
+    dtransposea ( in1 , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = dvariancefa ( transp + i*columns , columns , in2) ;
+    
+
+    free (transp);
+}
+
diff --git a/src/c/statisticsFunctions/variancef/drowvariancefa.c b/src/c/statisticsFunctions/variancef/drowvariancefa.c
new file mode 100644
index 0000000..274e828
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/drowvariancefa.c
@@ -0,0 +1,23 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variancef.h"
+
+void drowvariancefa(double *in1, int lines, int columns,double *in2, double* out){
+    
+    int i = 0 ;
+
+    for ( i = 0; i < columns ; i++)
+    out[i] = dvariancefa ( in1 + i*lines , lines , in2 ) ;
+    
+}
diff --git a/src/c/statisticsFunctions/variancef/dvariancefa.c b/src/c/statisticsFunctions/variancef/dvariancefa.c
new file mode 100644
index 0000000..32bd38c
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/dvariancefa.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h" 
+
+double	dvariancefa(double *in1, int size , double * in2)
+{
+  int i = 0 ;
+  double temp = 0.0;
+  double accumulate = 0.0 ;
+  double accumulateFre = 0.0 ;
+
+  double meanf = dmeanfa (in1 , size , in2);
+
+  for(i = 0 ; i < size ; ++i)
+    {
+     temp = dpows (  (in1[i]  - meanf ) ,2 );
+     temp *= in2[i];
+
+     accumulate += temp ;
+     accumulateFre += in2[i];
+    }
+
+  return accumulate / (accumulateFre -1);
+}
+
diff --git a/src/c/statisticsFunctions/variancef/scolumnvariancefa.c b/src/c/statisticsFunctions/variancef/scolumnvariancefa.c
new file mode 100644
index 0000000..a0283aa
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/scolumnvariancefa.c
@@ -0,0 +1,47 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variancef.h"
+#include "meanf.h"
+
+
+void scolumnvariancefa(float *in1, int lines, int columns, float *in2, float* out){
+  int i = 0;
+  int j = 0;
+  float temp = 0.0f;
+  float accumulate = 0.0f;
+  float accumulateFre = 0.0f ;
+    
+  scolumnmeanfa(in1, lines, columns, in2, out );
+
+  
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = 0.0f;
+      accumulateFre= 0.0f;
+      temp = 0.0f;
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+         temp = spows (  (in1[lines*i + j]  - out[j] ) ,2 );
+         temp *= in2[lines*i + j];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*i + j];
+        } 
+      out[j] = accumulate / (accumulateFre - 1) ;
+    }
+
+}
+
diff --git a/src/c/statisticsFunctions/variancef/srowvariancefa.c b/src/c/statisticsFunctions/variancef/srowvariancefa.c
new file mode 100644
index 0000000..36c4783
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/srowvariancefa.c
@@ -0,0 +1,21 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+
+void srowvariancefa(float *in1, int lines, int columns, float *in2, float* out){
+    
+    int i = 0 ;
+
+    for ( i = 0; i < columns ; i++)
+    out[i] = svariancefa ( in1 + i*lines , lines,in2 + i*lines  ) ;
+}
diff --git a/src/c/statisticsFunctions/variancef/svariancefa.c b/src/c/statisticsFunctions/variancef/svariancefa.c
new file mode 100644
index 0000000..f49d2b3
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/svariancefa.c
@@ -0,0 +1,46 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h" 
+
+/*
+s_moyennepond = meanf(x, fre)
+s_ecartmoyenne = x - s_moyennepond
+s_ecartcarre  = s_ecartmoyenne.^2 
+s_ecartcarrepondere = s_ecartcarre .* fre
+s = sum( s_ecartcarrepondere )/(sumfre - 1), 
+*/
+float svariancefa(float *in1, int size, float* in2)
+{
+  int i = 0 ;
+  float temp = 0.0f;
+  float accumulate = 0.0f ;
+  float accumulateFre = 0.0f ;
+
+  float meanf = smeanfa (in1 , size , in2);
+  /*printf ("\nmeanf %lf \n" ,meanf);*/
+  for(i = 0 ; i < size ; ++i)
+    {
+     
+     temp = spows (  (in1[i]  - meanf ) ,2 );
+     temp *= in2[i];
+
+     accumulate += temp ;
+     accumulateFre += in2[i];
+
+
+    }
+
+  return accumulate / (accumulateFre - 1) ;
+}
+
+
diff --git a/src/c/statisticsFunctions/variancef/testDoubleVariance.c b/src/c/statisticsFunctions/variancef/testDoubleVariance.c
new file mode 100644
index 0000000..b85a157
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/testDoubleVariance.c
@@ -0,0 +1,335 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE  1.323312455
+#define LINES   7
+#define COLUMNS 10
+#define MATRIX  {0.102326436434,0.939044147730,0.638607255649,0.059883427806,0.311199211050,\
+ 0.377510951832,0.909709410276,0.928138985299,0.855155082885,0.308869514614,\
+0.729239261709,0.127006734256,0.242402311414,0.807912770193,0.621117659844,\
+ 0.081452373881,0.088844371960,0.587072817143,0.068080495112,0.995457543526,\
+0.835322400089,0.656235548668,0.767905956600,0.706818781793,0.187699332368,\
+ 0.568810169585,0.401039466728,0.397196868435,0.483212330844,0.161224133335,\
+0.932864250615,0.719208867755,0.262409000657,0.931377100293,0.596724558622,\
+ 0.310327019077,0.350161732174,0.104841318447,0.830732351169,0.804621329065,\
+0.050784428138,0.551920620725,0.125952405389,0.083156193607,0.420623748098,\
+ 0.168616071343,0.707545555662,0.104633864947,0.465604968835,0.489758284763,\
+0.167727907188,0.760689914692,0.454900974408,0.063926273491,0.87152507063,0.978668818716,\
+ 0.135898929089,0.484713065904,0.785042577423,0.049412418623,\
+0.947593610268,0.884073690511,0.212796610314,0.654832502827,0.007690255996,\
+ 0.031808692031,0.706323316786,0.008731670678,0.270014822017,0.153652121313}
+
+
+#define MATRIXROW {0.1688249423502767021521  ,  0.0729081225272336097554  ,  0.0579879770921138057438  ,  0.1499989757031960635469  ,  0.0850863194040760717485 ,    0.1085086384507867873772  ,  0.0969379859569881041637 ,   0.1072816602642319844252 ,   0.0913638718167188862429 ,   0.1285778184208021535095  }
+#define MATRIXCOL {    0.1233078274276283442523,  \
+    0.1232135941992091865416 , \
+    0.0540377259589001762707 , \
+    0.0925512303008872161403 , \
+    0.0555055644879708723338 , \
+    0.1276299219577190779962 , \
+    0.1385167433745558840386  }
+
+
+#define IMATRIX {0.05826747464016080,0.99946373142302036,0.85600351681932807,0.62329693790525198,\
+ 0.49792320514097810,0.44210509583353996,0.55833499459549785,0.09633230511099100,\
+ 0.80100952507928014,0.34466254524886608,\
+0.48831309471279383,0.95087061496451497,0.01332767866551876,0.76261807000264525,\
+ 0.74346329551190138,0.65157829830422997,0.57006288319826126,0.70580983115360141,\
+ 0.51323400903493166,0.64977857517078519,\
+0.80352442665025592,0.69910932797938585,0.69258948462083936,0.91169391758739948,\
+ 0.92454590043053031,0.27637310232967138,0.31692579621449113,0.86305770650506020,\
+ 0.20109100220724940,0.01225362811237574,\
+0.38199013099074364,0.96006405679509044,0.16440964583307505,0.59608811559155583,\
+ 0.72101737372577190,0.58661046391353011,0.99326277803629637,0.00761850038543344,\
+ 0.78608208894729614,0.89965870184823871,\
+0.43115562805905938,0.81857266277074814,0.83410377753898501,0.55516970623284578,\
+ 0.51345925079658628,0.04770902730524540,0.80747798969969153,0.80489510949701071,\
+ 0.78650354826822877,0.30791273340582848,\
+0.75731822755187750,0.53423820668831468,0.42618893459439278,0.85448804078623652,\
+ 0.92601215932518244,0.94169309409335256,0.85547966323792934,0.59637623047456145,\
+ 0.69515300076454878,0.18359116325154901,\
+0.01200280850753188,0.2255702270194888,0.34853330114856362,0.55313225090503693,\
+ 0.63695094687864184,0.96132039744406939,0.50314606027677655,0.11768362112343311,\
+ 0.42481321236118674,0.52963322307914495}
+
+#define RMATRIX {0.53868199465796351,0.65326874051243067,0.37497402401641011,0.60422550700604916,\
+ 0.33622304117307067,0.03531436901539564,0.33213760564103723,0.39493087679147720,\
+ 0.04170337272807956,0.87363853026181459,\
+0.65950810909271240,0.31221040291711688,0.15333442110568285,0.66478573577478528,\
+ 0.44319023378193378,0.40884594758972526,0.94536898937076330,0.67733758920803666,\
+ 0.18673646822571754,0.92331133363768458,\
+0.55921846115961671,0.75012728199362755,0.23257926432415843,0.57102064136415720,\
+ 0.60969385923817754,0.67336730472743511,0.07624059682711959,0.10437540244311094,\
+ 0.95672677317634225,0.19771346449851990,\
+0.05278092902153730,0.75808868417516351,0.17633479088544846,0.01146994484588504,\
+ 0.36732212174683809,0.19948644982650876,0.52714426256716251,0.21445603063330054,\
+ 0.94751045759767294,0.04272260749712586,\
+0.03257346292957664,0.53217577841132879,0.87635089689865708,0.15471007302403450,\
+ 0.25448470888659358,0.91815057490020990,0.72509902389720082,0.87545845471322536,\
+ 0.05635281419381499,0.01432112138718367,\
+0.57406943850219250,0.80984140699729323,0.01664119493216276,0.93888836959376931,\
+ 0.11264799535274506,0.66036546928808093,0.76042845565825701,0.25908330874517560,\
+ 0.88014078326523304,0.70332178613170981,\
+0.94614937948063016,0.78529163636267185,0.20241560926660895,0.10981105919927359,\
+ 0.75415370846167207,0.15320260450243950,0.59521253732964396,0.71318271104246378,\
+ 0.51107599260285497,0.52125945501029491}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184,-0.05416405376783551,+0.11775191182077104,+0.08015791690354153,+0.00011032748454003,\
+-0.10124210045965254,0.06720614014223115,+0.02470873836336094,-0.07082037296251543,-0.00621987869853545}
+
+#define RMATRIXROW {0.01439621349781126,-0.04697393442028135,-0.03018604392150223,0.09765990436118642,0.01606884471097247,\
+-0.00604250542333471,0.02870576510687836,-0.04985742926427023,0.12356001472881707,0.05909180726174274}
+
+#define IMATRIXCOL {-0.01904810719805961,+0.04121453132770223,+0.00378553967089328,\
++0.10307670507342410,+0.03497427750676810,+0.01761849804019567,-0.10182321471060848}
+
+#define RMATRIXCOL {-0.02739893277693160,0.01792852626358409,-0.02205084134302381,\
+-0.01012610864032573,0.07317682977907164,0.04762062457313784,0.00849011627117621}
+
+
+static void  dvariancesTest (void ) {
+    
+    double toTest =  dvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+}    
+
+
+static void  drowvariancesTest (void ) {
+    
+    double toTest = drowvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+} 
+
+static void  dcolumnvariancesTest (void) {
+    
+    double toTest =  dcolumnvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ;
+} 
+
+
+static void  zvariancesTest (void ) {
+    
+    doubleComplex toTest = zvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}   
+
+static void  zrowvariancesTest (void ) {
+    
+    doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}
+
+static void  zcolumnvariancesTest (void ) {
+    
+    doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ;
+    assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ;
+}   
+
+
+
+
+
+
+static void  dvarianceaTest ( void){
+    
+    double mtoTest[] = MATRIX ;
+    double result = 0.1007532974338590653352;
+    double out = dvariancea ( mtoTest , LINES*COLUMNS );  ;
+    
+
+    
+    printf ( "out : %1.20f\t result : %1.20f\t\n" , out , result ) ; 
+    
+
+    
+    assert ( fabs ( out - result ) / fabs( out ) < 3e-16 ) ;
+    
+}
+
+
+static void drowvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    double mtoTest[] = MATRIX ; 
+    double result[LINES] =  MATRIXCOL ;
+    double out[LINES]  ;
+    
+    drowvariancea ( mtoTest , COLUMNS , LINES , out ) ;
+    
+    for ( i = 0 ; i < LINES ; i++)
+    {
+            printf ( "ROWout : %1.20f\t result : %1.20f\t\n" , out[i] , result [i] ) ; 
+           assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+    }
+    
+}
+
+static void dcolumnvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    double mtoTest[] = MATRIX ; 
+    double result[COLUMNS] =  MATRIXROW ;
+    double out[ COLUMNS]  ;
+  
+    
+    
+    dcolumnvariancea ( mtoTest ,  COLUMNS, LINES , out ) ;
+    
+    for ( i = 0 ; i <  COLUMNS; i++)
+    {
+            printf ( "%dCOLout : %1.20f\t result : %1.20f\t\n" ,i, out[i] , result [i] ) ;  } 
+     for ( i = 0 ; i <  COLUMNS; i++)
+    {
+          assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ;
+    }
+    
+}
+
+
+
+
+static void  zvarianceaTest ( void){
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    doubleComplex Result = DoubleComplex ( 0.01225832057910708 , 0.01071188208687752 );
+    
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+    doubleComplex out = zvariancea ( mtoTest ,  LINES*COLUMNS );  ;
+    
+            assert ( fabs(  zreals(out) -  zreals (Result) ) / fabs (zreals (out)) < 3e-16 );
+            assert(  fabs(  zimags(out) -  zimags (Result )) / fabs (zimags (out)) < 3e-16 );
+
+    
+}
+
+static void zrowvarianceaTest (void ) {
+   
+    int i = 0 ;
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    double  rResult  [] = RMATRIXROW;
+    double  iResult  [] = IMATRIXROW ;
+    
+    doubleComplex out[COLUMNS];
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    doubleComplex* Result  = DoubleComplexMatrix ( rResult  , iResult  , COLUMNS );
+    
+    zrowvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+    /*FIXME test failed under 1-e04 precision */
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , zreals(out[i])  , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+        assert ( fabs(  zreals(out[i]) -  zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 );
+        assert(  fabs(  zimags(out[i]) -  zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16);
+      
+    }
+}
+
+
+
+static void zcolumnvarianceaTest ( void) {
+        int i = 0 ;
+    
+    double  rmtoTest [] = RMATRIX ;
+    double  imtoTest [] = IMATRIX ;
+    double  rResult  [] = RMATRIXCOL;
+    double  iResult  [] = IMATRIXCOL ;
+    
+    doubleComplex out[LINES];
+    doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    doubleComplex* Result  = DoubleComplexMatrix ( rResult  , iResult  , LINES );
+    
+    zcolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+   
+    for ( i = 0 ; i < LINES ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , zreals(out[i])  , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i]));
+        assert ( fabs(  zreals(out[i]) -  zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 );
+        assert(  fabs(  zimags(out[i]) -  zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16);
+      
+    }
+    
+    
+    
+}
+
+
+
+
+
+static int testDoubleVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Double  Tests ****\n");
+  printf("*********************\n");
+
+  printf("\n\t>>>>singleton real  Tests\n"); 
+   dcolumnvariancesTest () ;   
+  dvariancesTest () ;    
+  drowvariancesTest () ;
+
+
+  printf("\n\t>>>>singleton complex  Tests\n");     
+    
+  zrowvariancesTest () ;
+  zcolumnvariancesTest () ;
+  zvariancesTest () ;
+    
+    
+    
+  printf("\n\t>>>>array real  Tests\n"); 
+    
+  dvarianceaTest () ;    
+  
+  dcolumnvarianceaTest () ;   
+  drowvarianceaTest ( );
+    
+    
+  printf("\n\t>>>>array  complex  Tests\n"); 
+    
+  zvarianceaTest () ;  
+  zrowvarianceaTest ( );  
+  zcolumnvarianceaTest () ;
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testDoubleVariance () == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variancef/testDoubleVariancef.c b/src/c/statisticsFunctions/variancef/testDoubleVariancef.c
new file mode 100644
index 0000000..1102ae1
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/testDoubleVariancef.c
@@ -0,0 +1,373 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "variancef.h"
+
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+static int dvariancefsTest(void) {
+
+
+  printf("\n>>>> variancef Double Scalar Test\n");
+  printf("result : %e " ,dvariancefs(value1,coef1)) ;
+  
+  assert( (  dvariancefs(3.0,56.0)  ) ==  0.0 );
+  assert( ( dvariancefs( 1.123456789 ,2.0)  ) ==  0.0 );
+
+
+  return 0;
+}
+
+static int dvariancefaTest(void) {
+  double table1[3] = {3.0, 6.0, 9.0};
+  double coef1[3] = {10.0, 2.0, 6.0}; 
+
+  double table2[5] = {3.186784563,
+		     4.186784563,
+		     5.186784563,
+		     6.186784563,
+		     7.186784563};
+
+  double coef2[5] = {3.0,
+		     4.0,
+		     5.0,
+		     6.0,
+		     7.0};
+ 
+  printf("\n>>>> variancef Double Array Test\n");
+  printf("result1 : %e " ,dvariancefa(table1, 3, coef1)) ;
+  printf("result2 : %e " ,dvariancefa(table2, 5, coef2)) ;
+  assert((dvariancefa(table1, 3, coef1) - 8.000000000 )/ dvariancefa(table1, 3 ,coef1) < 1e-6);
+  assert((dvariancefa(table2, 5, coef2) - 1.916666666 )/ dvariancefa(table2, 5 ,coef2) < 1e-6);
+  return 0;
+}
+
+/*
+static int dcolumnvariancefaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double table2[10] = {1.0,   2.0,  3.0,  4.0 ,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0};
+  double coef2[10] =  {11.0, 12.0, 13.0, 14.0 , 15.0, 16.0, 17.0, 18.0, 19.0, 20.0};
+  double columnMeanmedTable1_3_3[3] = {0};
+  double columnMeanmedTable1_1_9[1] = {0};
+  double columnMeanmedTable1_9_1[9] = {0};
+  double columnMeanmedTable2_2_5[2] = {0};
+  double columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Variancef Double Array Test\n");
+ 
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 68 32 146 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  
+  dcolumnvariancefa(table1, 3, 3, coef1 ,columnMeanmedTable1_3_3);
+  assert( ( fabs(columnMeanmedTable1_3_3[0] ) - (  68.0 /  33.0 ) ) / fabs ( columnMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable1_3_3[1] ) - (  32.0 /   6.0 ) ) / fabs ( columnMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable1_3_3[2] ) - (  146.0 / 18.0 ) ) / fabs ( columnMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+
+  dcolumnvariancefa(table1, 1, 9, coef1 ,columnMeanmedTable1_1_9);
+  printf("result qui foire : %e\n " ,columnMeanmedTable1_1_9[0]) ;
+  assert( ( fabs(columnMeanmedTable1_1_9[0] ) - (  1.146666666f ) ) / fabs ( columnMeanmedTable1_1_9[0]  ) <  1e-6 );
+
+  
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  
+  dcolumnvariancefa(table1, 9, 1, coef1, columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+  
+  
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ]=> [ 415 520 ]
+  
+  dcolumnvariancefa(table2, 2, 5, coef2 , columnMeanmedTable2_2_5);
+  assert( ( fabs(columnMeanmedTable2_2_5[0] ) - (  415.0 / 75.0 ) ) / fabs ( columnMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_2_5[1] ) - (  520.0 / 80.0 ) ) / fabs ( columnMeanmedTable2_2_5[1]  ) <  1e-6 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  
+    [ 1  6 ]  [ 11  16 ]
+    [ 2  7 ]  [ 12  17 ] => [ 107 143 183 227 275 ]
+    [ 3  8 ].*[ 13  18 ]
+    [ 4  9 ]  [ 14  19 ]
+    [ 5 10 ]  [ 15  20 ]
+   
+
+  dcolumnvariancefa(table2, 5, 2, coef2 ,columnMeanmedTable2_5_2);
+  assert( ( fabs(columnMeanmedTable2_5_2[0] ) - (  107.0 / 27.0 ) ) / fabs ( columnMeanmedTable2_5_2[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[1] ) - (  143.0 / 29.0 ) ) / fabs ( columnMeanmedTable2_5_2[1]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[2] ) - (  183.0 / 31.0 ) ) / fabs ( columnMeanmedTable2_5_2[2]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[3] ) - (  227.0 / 33.0 ) ) / fabs ( columnMeanmedTable2_5_2[3]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[4] ) - (  275.0 / 35.0 ) ) / fabs ( columnMeanmedTable2_5_2[4]  ) <  1e-6 );
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+*/
+/*
+static int srowvariancefaTest(void) {
+  int i = 0;
+  double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double coef1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};
+  double coef2[10] =  {11.0, 12.0, 13.0, 14.0 , 15.0, 16.0, 17.0, 18.0, 19.0, 20.0};
+  double rowMeanmedTable1_3_3[3] = {0};
+  double rowMeanmedTable1_1_9[9] = {0};
+  double rowMeanmedTable1_9_1[1] = {0};
+  double rowMeanmedTable2_2_5[5] = {0};
+  double rowMeanmedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Mean Double Array Test\n");
+  
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 49 80 117 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  
+  srowvariancefa(table1, 3, 3, coef1 , rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert( ( fabs(rowMeanmedTable1_3_3[0] ) - (  49.0 / 16.0 ) ) / fabs ( rowMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable1_3_3[1] ) - (  80.0 / 19.0 ) ) / fabs ( rowMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable1_3_3[2] ) - ( 117.0 / 22.0 ) ) / fabs ( rowMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+  
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  
+  srowvariancefa(table1, 1, 9, coef1, rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 246 ]
+  
+  srowvariancefa(table1, 9, 1, coef1, rowMeanmedTable1_9_1);
+  assert( ( fabs(rowMeanmedTable1_9_1[0] ) - (  246.0 / 57.0 ) ) / fabs ( rowMeanmedTable1_9_1[0]  ) <  1e-6 );
+
+  
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ] => [ 3 7 11 15 19 ]
+  
+  srowvariancefa(table2, 2, 5, coef2, rowMeanmedTable2_2_5);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+  assert( ( fabs(rowMeanmedTable2_2_5[0] ) - (  35.0 / 23.0 ) ) / fabs ( rowMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[1] ) - (  95.0 / 27.0 ) ) / fabs ( rowMeanmedTable2_2_5[1]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[2] ) - ( 171.0 / 31.0 ) ) / fabs ( rowMeanmedTable2_2_5[2]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[3] ) - ( 263.0 / 35.0 ) ) / fabs ( rowMeanmedTable2_2_5[3]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[4] ) - ( 371.0 / 39.0 ) ) / fabs ( rowMeanmedTable2_2_5[4]  ) <  1e-6 );
+
+
+  return 0;
+}
+*/
+
+static int zvariancefsTest(void) {
+
+  printf("\n>>>> Mean Double Complex Scalar Test\n");
+  assert(  zreals(zvariancefs(DoubleComplex(3.0, 0.0),DoubleComplex(3.0, 0.0))) ==  0.0 );
+  assert(  zimags(zvariancefs(DoubleComplex(3.0, 0.0),DoubleComplex(3.0, 0.0))) ==  0.0 );
+  assert(  zreals(zvariancefs(DoubleComplex(1.123456789, 1.123456789),DoubleComplex(9.0, 0.0))) ==  0.0 );
+  assert(  zimags(zvariancefs(DoubleComplex(1.123456789, 1.123456789),DoubleComplex(9.0, 0.0))) ==  0.0 );
+
+  return 0;
+}
+
+
+
+static int zvariancefaTest(void) {
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+  doubleComplex result =DoubleComplex(0.0 , 0.0); 
+  
+  printf("\n>>>> Mean Double Complex Array Test\n");
+  result = zvariancefa(table1, 9, coef1);
+  /*printf("\nresult : %e \t+ %e i " ,zreals(result) ,zimags(result)) ;*/
+
+  assert(  fabs(zreals(result) - (  1.3834586f ) ) / fabs ( zreals(result)  ) <  1e-6 );
+  assert(  fabs(zimags(result) - (  9.6090226f ) ) / fabs ( zimags(result)  ) <  1e-6 );
+
+  return 0;
+}
+
+/*
+static int crowvariancefaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI2[10]   = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 9);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 9);
+
+  doubleComplex rowMeanmedTable1_3_3[3] = {DoubleComplex(0.0, 0.0)};
+ 
+  doubleComplex rowMeanmedTable1_1_9[9] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable1_9_1[1] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_2_5[5] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_5_2[2] = {DoubleComplex(0.0, 0.0)};
+
+  printf("\n>>>> Row variancef Double Complex Array Test\n");
+
+ 
+
+  crowvariancefa(table1 , 3 , 3 , coef1 , rowMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+
+      printf("rowMeanmedTable_3_3[%d] = %e + %ei\n", i, zreals(rowMeanmedTable1_3_3[i]), zimags(rowMeanmedTable1_3_3[i]));
+    }
+  assert( ( fabs(zimags(rowMeanmedTable1_3_3[0]) ) - ( 27.0 / 16.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( ( fabs(zreals(rowMeanmedTable1_3_3[0]) ) - ( 49.0 / 16.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( ( fabs(zimags(rowMeanmedTable1_3_3[1]) ) - ( 90.0 / 19.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( ( fabs(zreals(rowMeanmedTable1_3_3[1]) ) - ( 80.0 / 19.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( ( fabs(zimags(rowMeanmedTable1_3_3[2]) ) - (171.0 / 22.0 ) ) / fabs ( zimags(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( ( fabs(zreals(rowMeanmedTable1_3_3[2]) ) - (117.0 / 22.0 ) ) / fabs ( zreals(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+*/
+
+
+/*
+static int scolumnvariancefaTest(void) {
+
+  int i = 0 ;
+
+  double tableR1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0};
+  double tableI1[9] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0};
+  double coefR1[9] = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0}; 
+  double coefI1[9] = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  double tableR2[10] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0, 10.0};
+  double tableI2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 15.0};
+  double coefR2[10]  = {10.0, 1.0, 5.0,11.0 , 2.0, 6.0,12.0, 3.0, 7.0, 19.0}; 
+  double coefI2[10]   = { 0.0, 0.0, 0.0, 0.0 , 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; 
+
+  doubleComplex* table1 = DoubleComplexMatrix (tableR1, tableI1, 9);
+  doubleComplex* coef1 = DoubleComplexMatrix (coefR1, coefI1, 9);
+
+  doubleComplex* table2 = DoubleComplexMatrix (tableR2, tableI2, 9);
+  doubleComplex* coef2 = DoubleComplexMatrix (coefR2, coefI2, 9);
+
+  doubleComplex columnMeanmedTable1_3_3[3] = {DoubleComplex(0.0, 0.0)};
+ 
+  doubleComplex rowMeanmedTable1_1_9[9] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable1_9_1[1] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_2_5[5] = {DoubleComplex(0.0, 0.0)};
+  doubleComplex rowMeanmedTable2_5_2[2] = {DoubleComplex(0.0, 0.0)};
+
+
+  printf("\n>>>> Column variancef Double Complex Array Test\n");
+
+  
+
+  scolumnvariancefa(table1 , 3 , 3 , coef1 , columnMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnMeanmedTable_3_3[%d] = %e + %ei\n", i, zreals(columnMeanmedTable1_3_3[i]), zimags(columnMeanmedTable1_3_3[i]));
+    }
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[0]) ) - (138.0 / 33.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[0]) ) - ( 68.0 / 33.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[1]) ) - ( 36.0 /  6.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[1]) ) - ( 32.0 /  6.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( ( fabs(zimags(columnMeanmedTable1_3_3[2]) ) - (114.0 / 18.0 ) ) / fabs ( zimags(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( ( fabs(zreals(columnMeanmedTable1_3_3[2]) ) - (146.0 / 18.0 ) ) / fabs ( zreals(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+
+*/
+
+static int testvariancef(void) {
+
+  dvariancefsTest();
+  dvariancefaTest();
+  /*dcolumnvariancefaTest();
+  srowvariancefaTest();*/
+  zvariancefsTest();
+  zvariancefaTest();
+  /*crowvariancefaTest();
+  scolumnvariancefaTest();
+*/
+  return 0;
+}
+
+int main(void) {
+  assert(testvariancef() == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variancef/testFloatVariance.c b/src/c/statisticsFunctions/variancef/testFloatVariance.c
new file mode 100644
index 0000000..97b56d4
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/testFloatVariance.c
@@ -0,0 +1,329 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2006-2008 - INRIA - Bruno JOFRET
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+
+#include "variance.h"
+
+#define SINGLE  1.323312455f
+#define LINES   7
+#define COLUMNS 10
+#define MATRIX  {0.102326436434f,0.939044147730f,0.638607255649f,0.059883427806f,0.311199211050f,\
+ 0.377510951832f,0.909709410276f,0.928138985299f,0.855155082885f,0.308869514614f,\
+0.729239261709f,0.127006734256f,0.242402311414f,0.807912770193f,0.621117659844f,\
+ 0.081452373881f,0.088844371960f,0.587072817143f,0.068080495112f,0.995457543526f,\
+0.835322400089f,0.656235548668f,0.767905956600f,0.706818781793f,0.187699332368f,\
+ 0.568810169585f,0.401039466728f,0.397196868435f,0.483212330844f,0.161224133335f,\
+0.932864250615f,0.719208867755f,0.262409000657f,0.931377100293f,0.596724558622f,\
+ 0.310327019077f,0.350161732174f,0.104841318447f,0.830732351169f,0.804621329065f,\
+0.050784428138f,0.551920620725f,0.125952405389f,0.083156193607f,0.420623748098f,\
+ 0.168616071343f,0.707545555662f,0.104633864947f,0.465604968835f,0.489758284763f,\
+0.167727907188f,0.760689914692f,0.454900974408f,0.063926273491f,0.87152507063f,0.978668818716f,\
+ 0.135898929089f,0.484713065904f,0.785042577423f,0.049412418623f,\
+0.947593610268f,0.884073690511f,0.212796610314f,0.654832502827f,0.007690255996f,\
+ 0.031808692031f,0.706323316786f,0.008731670678f,0.270014822017f,0.153652121313f}
+
+
+#define MATRIXROW {0.168824942350f,0.072908122527f,0.057987977092f,0.149998975703f,0.085086319404f,\
+0.108508638451f,0.096937985957f,0.107281660264f,0.091363871817f,0.128577818421f}
+
+#define MATRIXCOL { 0.123307827428f,0.123213594199f,0.054037725959f,0.092551230301f,0.055505564488f,\
+0.127629921958f,0.138516743375f }
+
+
+#define IMATRIX {0.05826747464016080f,0.99946373142302036f,0.85600351681932807f,0.62329693790525198f,\
+ 0.49792320514097810f,0.44210509583353996f,0.55833499459549785f,0.09633230511099100f,\
+ 0.80100952507928014f,0.34466254524886608f,\
+0.48831309471279383f,0.95087061496451497f,0.01332767866551876f,0.76261807000264525f,\
+ 0.74346329551190138f,0.65157829830422997f,0.57006288319826126f,0.70580983115360141f,\
+ 0.51323400903493166f,0.64977857517078519f,\
+0.80352442665025592f,0.69910932797938585f,0.69258948462083936f,0.91169391758739948f,\
+ 0.92454590043053031f,0.27637310232967138f,0.31692579621449113f,0.86305770650506020f,\
+ 0.20109100220724940f,0.01225362811237574f,\
+0.38199013099074364f,0.96006405679509044f,0.16440964583307505f,0.59608811559155583f,\
+ 0.72101737372577190f,0.58661046391353011f,0.99326277803629637f,0.00761850038543344f,\
+ 0.78608208894729614f,0.89965870184823871f,\
+0.43115562805905938f,0.81857266277074814f,0.83410377753898501f,0.55516970623284578f,\
+ 0.51345925079658628f,0.04770902730524540f,0.80747798969969153f,0.80489510949701071f,\
+ 0.78650354826822877f,0.30791273340582848f,\
+0.75731822755187750f,0.53423820668831468f,0.42618893459439278f,0.85448804078623652f,\
+ 0.92601215932518244f,0.94169309409335256f,0.85547966323792934f,0.59637623047456145f,\
+ 0.69515300076454878f,0.18359116325154901f,\
+0.01200280850753188f,0.2255702270194888f,0.34853330114856362f,0.55313225090503693f,\
+ 0.63695094687864184f,0.96132039744406939f,0.50314606027677655f,0.11768362112343311f,\
+ 0.42481321236118674f,0.52963322307914495f}
+
+#define RMATRIX {0.53868199465796351f,0.65326874051243067f,0.37497402401641011f,0.60422550700604916f,\
+ 0.33622304117307067f,0.03531436901539564f,0.33213760564103723f,0.39493087679147720f,\
+ 0.04170337272807956f,0.87363853026181459f,\
+0.65950810909271240f,0.31221040291711688f,0.15333442110568285f,0.66478573577478528f,\
+ 0.44319023378193378f,0.40884594758972526f,0.94536898937076330f,0.67733758920803666f,\
+ 0.18673646822571754f,0.92331133363768458f,\
+0.55921846115961671f,0.75012728199362755f,0.23257926432415843f,0.57102064136415720f,\
+ 0.60969385923817754f,0.67336730472743511f,0.07624059682711959f,0.10437540244311094f,\
+ 0.95672677317634225f,0.19771346449851990f,\
+0.05278092902153730f,0.75808868417516351f,0.17633479088544846f,0.01146994484588504f,\
+ 0.36732212174683809f,0.19948644982650876f,0.52714426256716251f,0.21445603063330054f,\
+ 0.94751045759767294f,0.04272260749712586f,\
+0.03257346292957664f,0.53217577841132879f,0.87635089689865708f,0.15471007302403450f,\
+ 0.25448470888659358f,0.91815057490020990f,0.72509902389720082f,0.87545845471322536f,\
+ 0.05635281419381499f,0.01432112138718367f,\
+0.57406943850219250f,0.80984140699729323f,0.01664119493216276f,0.93888836959376931f,\
+ 0.11264799535274506f,0.66036546928808093f,0.76042845565825701f,0.25908330874517560f,\
+ 0.88014078326523304f,0.70332178613170981f,\
+0.94614937948063016f,0.78529163636267185f,0.20241560926660895f,0.10981105919927359f,\
+ 0.75415370846167207f,0.15320260450243950f,0.59521253732964396f,0.71318271104246378f,\
+ 0.51107599260285497f,0.52125945501029491f}
+
+
+
+
+
+
+#define IMATRIXROW {-0.0419293790250184f,-0.05416405376783551f,+0.11775191182077104f,+0.08015791690354153f,+0.00011032748454003f,\
+-0.10124210045965254f,0.06720614014223115f,+0.02470873836336094f,-0.07082037296251543f,-0.00621987869853545f}
+
+#define RMATRIXROW {0.01439621349781126f,-0.04697393442028135f,-0.03018604392150223f,0.09765990436118642f,0.01606884471097247f,\
+-0.00604250542333471f,0.02870576510687836f,-0.04985742926427023f,0.12356001472881707f,0.05909180726174274f}
+
+#define IMATRIXCOL {-0.01904810719805961f,+0.04121453132770223f,+0.00378553967089328f,\
++0.10307670507342410f,+0.03497427750676810f,+0.01761849804019567f,-0.10182321471060848f}
+
+#define RMATRIXCOL {-0.02739893277693160f,0.01792852626358409f,-0.02205084134302381f,\
+-0.01012610864032573f,0.07317682977907164f,0.04762062457313784f,0.00849011627117621f}
+
+
+static void  svariancesTest (void ) {
+    
+    float toTest =  svariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+}    
+
+
+static void  srowvariancesTest (void ) {
+    
+    float toTest = srowvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+} 
+
+static void  scolumnvariancesTest (void) {
+    
+    float toTest =  scolumnvariances (SINGLE) ;
+     
+    assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ;
+} 
+
+
+static void  cvariancesTest (void ) {
+    
+    floatComplex toTest = cvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}   
+
+static void  crowvariancesTest (void ) {
+    
+    floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}
+
+static void  ccolumnvariancesTest (void ) {
+    
+    floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) );
+     
+    assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ;
+    assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ;
+}   
+
+
+
+
+
+
+static void  svarianceaTest ( void){
+    
+    float mtoTest[] = MATRIX ;
+    float result = 0.100753297434f;
+    float out = svariancea ( mtoTest , LINES*COLUMNS );  ;
+    
+
+    
+    printf ( "out : %e\t result : %e\t\n" , out , result ) ; 
+    
+
+    
+    assert ( fabs ( out - result ) / fabs( out ) < 1e-06 ) ;
+    
+}
+
+
+static void srowvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    float mtoTest[] = MATRIX ; 
+    float result[COLUMNS] =  MATRIXROW ;
+    float out[COLUMNS]  ;
+    
+    srowvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+    
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+            printf ( "ROWout : %e\t result : %e\t\n" , out[i] , result [i] ) ; 
+           assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ;
+    }
+    
+}
+
+static void scolumnvarianceaTest ( void )
+{
+    int i = 0 ;
+    
+    float mtoTest[] = MATRIX ; 
+    float result[LINES] =  MATRIXCOL ;
+    float out[ LINES]  ;
+  
+    
+    
+    scolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ;
+    
+    for ( i = 0 ; i <  LINES ; i++)
+    {
+            printf ( "%dCOLout : %e\t result : %e\t\n" ,i, out[i] , result [i] ) ; 
+          assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ;
+    }
+    
+}
+
+
+
+
+static void  cvarianceaTest ( void){
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    floatComplex Result = FloatComplex ( 0.01225832057910708f , 0.01071188208687752f );
+    
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ;
+    floatComplex out = cvariancea ( mtoTest ,  LINES*COLUMNS );  ;
+    
+            assert ( fabs(  creals(out) -  creals (Result) ) / fabs (creals (out)) < 1e-06 );
+            assert(  fabs(  cimags(out) -  cimags (Result )) / fabs (cimags (out)) < 1e-06 );
+
+    
+}
+
+static void crowvarianceaTest (void ) {
+   
+    int i = 0 ;
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    float  rResult  [] = RMATRIXROW;
+    float  iResult  [] = IMATRIXROW ;
+    
+    floatComplex out[COLUMNS];
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    floatComplex* Result  = FloatComplexMatrix ( rResult  , iResult  , COLUMNS );
+    
+    crowvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+    /*FIXME test failed under 1-e04 precision */
+    for ( i = 0 ; i < COLUMNS ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , creals(out[i])  , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+        assert ( fabs(  creals(out[i]) -  creals (Result[i]) ) / fabs (creals (out[i])) < 3e-6 );
+        assert(  fabs(  cimags(out[i]) -  cimags (Result[i])) / fabs (cimags (out[i])) < 3e-6);
+      
+    }
+}
+
+
+
+static void ccolumnvarianceaTest ( void) {
+        int i = 0 ;
+    
+    float  rmtoTest [] = RMATRIX ;
+    float  imtoTest [] = IMATRIX ;
+    float  rResult  [] = RMATRIXCOL;
+    float  iResult  [] = IMATRIXCOL ;
+    
+    floatComplex out[LINES];
+    floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS  ) ;
+    floatComplex* Result  = FloatComplexMatrix ( rResult  , iResult  , LINES );
+    
+    ccolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; 
+    
+   
+    for ( i = 0 ; i < LINES ; i++)
+    {
+        printf ( "%d out : %e  %e \t result %e %e \n" , i , creals(out[i])  , cimags(out[i]), creals(Result[i]) ,cimags( Result[i]));
+        assert ( fabs(  creals(out[i]) -  creals (Result[i]) ) / fabs (creals (out[i])) < 1e-06 );
+        assert(  fabs(  cimags(out[i]) -  cimags (Result[i])) / fabs (cimags (out[i])) < 1e-06);
+      
+    }
+    
+    
+    
+}
+
+
+
+
+
+static int testFloatVariance   (void) {
+  printf("\n\n\n\n*********************\n");
+  printf("***** Float Tests ****\n");
+  printf("*********************\n");
+
+  printf("\n\t>>>>singleton real  Tests\n"); 
+   scolumnvariancesTest () ;   
+  svariancesTest () ;    
+  srowvariancesTest () ;
+
+
+  printf("\n\t>>>>singleton complex  Tests\n");     
+    
+  crowvariancesTest () ;
+  ccolumnvariancesTest () ;
+  cvariancesTest () ;
+    
+    
+    
+  printf("\n\t>>>>array real  Tests\n"); 
+    
+  svarianceaTest () ;    
+  
+  scolumnvarianceaTest () ;   
+  srowvarianceaTest ( );
+    
+    
+  printf("\n\t>>>>array  complex  Tests\n"); 
+    
+  cvarianceaTest () ;  
+  crowvarianceaTest ( );  
+  ccolumnvarianceaTest () ;
+
+
+  return 0;
+}
+
+int main(void) {
+  assert(testFloatVariance () == 0);
+  return 0;
+}
diff --git a/src/c/statisticsFunctions/variancef/testFloatVariancef.c b/src/c/statisticsFunctions/variancef/testFloatVariancef.c
new file mode 100644
index 0000000..4363052
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/testFloatVariancef.c
@@ -0,0 +1,381 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include <assert.h>
+#include <stdio.h>
+#include <math.h>
+#include "variancef.h"
+
+
+/* #define LOCAL_DEBUG */
+
+#define ERROR(x) printf("diff = %e\n", x)
+
+
+  #define  VALUE1  3.0f
+  #define  VALUE2  1.123456789f
+  #define  COEF1   56.0f 
+  #define  COEF2 2.0f 
+
+
+static int svariancefsTest(void) {
+
+  printf("\n>>>> variancef Float Scalar Test\n");
+  printf("result : %e " ,svariancefs(VALUE1,COEF1)) ;
+  
+  assert( (  svariancefs(VALUE1,COEF1)  ) ==  0.0f );
+  assert( ( svariancefs(VALUE2,COEF2)  ) ==  0.0f );
+
+  
+
+  return 0;
+}
+
+static int svariancefaTest(void) {
+  float table1[3] = {3.0f, 6.0f, 9.0f};
+  float coef1[3] = {10.0f, 2.0f, 6.0f}; 
+
+  float table2[5] = {3.186784563f,
+		     4.186784563f,
+		     5.186784563f,
+		     6.186784563f,
+		     7.186784563f};
+
+  float coef2[5] = {3.0f,
+		     4.0f,
+		     5.0f,
+		     6.0f,
+		     7.0f};
+ 
+  printf("\n>>>> variancef Float Array Test\n");
+  printf("result : %e " ,svariancefa(table1, 3, coef1)) ;
+  printf("result : %e " ,svariancefa(table2, 5, coef2)) ;
+  assert(svariancefa(table1, 3, coef1) == 8.0f);
+  assert((svariancefa(table2, 5, coef2) - 1.916666666 )/ svariancefa(table2, 5 ,coef2) < 1e-6);
+  return 0;
+}
+
+/*
+static int scolumnvariancefaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float table2[10] = {1.0f,   2.0f,  3.0f,  4.0f ,  5.0f,  6.0f,  7.0f,  8.0f,  9.0f, 10.0f};
+  float coef2[10] =  {11.0f, 12.0f, 13.0f, 14.0f , 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f};
+  float columnMeanmedTable1_3_3[3] = {0};
+  float columnMeanmedTable1_1_9[1] = {0};
+  float columnMeanmedTable1_9_1[9] = {0};
+  float columnMeanmedTable2_2_5[2] = {0};
+  float columnMeanmedTable2_5_2[5] = {0};
+
+  printf("\n>>>> Column Variancef Float Array Test\n");
+  
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 68 32 146 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  
+  scolumnvariancefa(table1, 3, 3, coef1 ,columnMeanmedTable1_3_3);
+  assert( ( fabs(columnMeanmedTable1_3_3[0] ) - (  68.0f /  33.0f ) ) / fabs ( columnMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable1_3_3[1] ) - (  32.0f /   6.0f ) ) / fabs ( columnMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable1_3_3[2] ) - (  146.0f / 18.0f ) ) / fabs ( columnMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+  
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ]
+  
+  scolumnvariancefa(table1, 1, 9, coef1 ,columnMeanmedTable1_1_9);
+  printf("result qui foire : %e\n " ,columnMeanmedTable1_1_9[0]) ;
+  assert( ( fabs(columnMeanmedTable1_1_9[0] ) - (  1.146666666f ) ) / fabs ( columnMeanmedTable1_1_9[0]  ) <  1e-6 );
+
+  
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  
+  scolumnvariancefa(table1, 9, 1, coef1, columnMeanmedTable1_9_1);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]);
+    assert(columnMeanmedTable1_9_1[i] == table1[i]);
+  }
+  
+  
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ]=> [ 415 520 ]
+  
+  scolumnvariancefa(table2, 2, 5, coef2 , columnMeanmedTable2_2_5);
+  assert( ( fabs(columnMeanmedTable2_2_5[0] ) - (  415.0f / 75.0f ) ) / fabs ( columnMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_2_5[1] ) - (  520.0f / 80.0f ) ) / fabs ( columnMeanmedTable2_2_5[1]  ) <  1e-6 );
+  for ( i = 0 ; i < 2 ; ++i) {
+    printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]);
+  }
+
+  
+    [ 1  6 ]  [ 11  16 ]
+    [ 2  7 ]  [ 12  17 ] => [ 107 143 183 227 275 ]
+    [ 3  8 ].*[ 13  18 ]
+    [ 4  9 ]  [ 14  19 ]
+    [ 5 10 ]  [ 15  20 ]
+   
+
+  scolumnvariancefa(table2, 5, 2, coef2 ,columnMeanmedTable2_5_2);
+  assert( ( fabs(columnMeanmedTable2_5_2[0] ) - (  107.0f / 27.0f ) ) / fabs ( columnMeanmedTable2_5_2[0]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[1] ) - (  143.0f / 29.0f ) ) / fabs ( columnMeanmedTable2_5_2[1]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[2] ) - (  183.0f / 31.0f ) ) / fabs ( columnMeanmedTable2_5_2[2]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[3] ) - (  227.0f / 33.0f ) ) / fabs ( columnMeanmedTable2_5_2[3]  ) <  1e-6 );
+  assert( ( fabs(columnMeanmedTable2_5_2[4] ) - (  275.0f / 35.0f ) ) / fabs ( columnMeanmedTable2_5_2[4]  ) <  1e-6 );
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]);
+  }
+
+  return 0;
+}
+*/
+/*
+static int srowvariancefaTest(void) {
+  int i = 0;
+  float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float coef1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f};
+  float coef2[10] =  {11.0f, 12.0f, 13.0f, 14.0f , 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f};
+  float rowMeanmedTable1_3_3[3] = {0};
+  float rowMeanmedTable1_1_9[9] = {0};
+  float rowMeanmedTable1_9_1[1] = {0};
+  float rowMeanmedTable2_2_5[5] = {0};
+  float rowMeanmedTable2_5_2[2] = {0};
+
+  printf("\n>>>> Row Mean Float Array Test\n");
+  
+    [ 1 2 3 ]  [10 11 12 ]
+    [ 4 5 6 ].*[ 1  2  3 ]  => [ 49 80 117 ]
+    [ 7 8 9 ]  [ 5  6  7 ]
+  
+  srowvariancefa(table1, 3, 3, coef1 , rowMeanmedTable1_3_3);
+  for ( i = 0 ; i < 3 ; ++i) {
+    printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]);
+  }
+  assert( ( fabs(rowMeanmedTable1_3_3[0] ) - (  49.0f / 16.0f ) ) / fabs ( rowMeanmedTable1_3_3[0]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable1_3_3[1] ) - (  80.0f / 19.0f ) ) / fabs ( rowMeanmedTable1_3_3[1]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable1_3_3[2] ) - ( 117.0f / 22.0f ) ) / fabs ( rowMeanmedTable1_3_3[2]  ) <  1e-6 );
+
+  
+    [ 1 ]
+    [ 2 ]
+    [ 3 ]
+    [ 4 ]
+    [ 5 ] =>  [ 1 2 3 4 5 6 7 8 9 ]
+    [ 6 ]
+    [ 7 ]
+    [ 8 ]
+    [ 9 ]
+  
+  srowvariancefa(table1, 1, 9, coef1, rowMeanmedTable1_1_9);
+  for ( i = 0 ; i < 9 ; ++i) {
+    printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]);
+    assert(rowMeanmedTable1_1_9[i] == table1[i]);
+  }
+
+  
+    [ 1 2 3 4 5 6 7 8 9 ] => [ 246 ]
+  
+  srowvariancefa(table1, 9, 1, coef1, rowMeanmedTable1_9_1);
+  assert( ( fabs(rowMeanmedTable1_9_1[0] ) - (  246.0f / 57.0f ) ) / fabs ( rowMeanmedTable1_9_1[0]  ) <  1e-6 );
+
+  
+    [ 1 3 5 7  9 ] .* [ 11 13 15 17 19 ]
+    [ 2 4 6 8 10 ]    [ 12 14 16 18 20 ] => [ 3 7 11 15 19 ]
+  
+  srowvariancefa(table2, 2, 5, coef2, rowMeanmedTable2_2_5);
+  for ( i = 0 ; i < 5 ; ++i) {
+    printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]);
+  }
+  assert( ( fabs(rowMeanmedTable2_2_5[0] ) - (  35.0f / 23.0f ) ) / fabs ( rowMeanmedTable2_2_5[0]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[1] ) - (  95.0f / 27.0f ) ) / fabs ( rowMeanmedTable2_2_5[1]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[2] ) - ( 171.0f / 31.0f ) ) / fabs ( rowMeanmedTable2_2_5[2]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[3] ) - ( 263.0f / 35.0f ) ) / fabs ( rowMeanmedTable2_2_5[3]  ) <  1e-6 );
+  assert( ( fabs(rowMeanmedTable2_2_5[4] ) - ( 371.0f / 39.0f ) ) / fabs ( rowMeanmedTable2_2_5[4]  ) <  1e-6 );
+
+
+  return 0;
+}
+*/
+
+static int cvariancefsTest(void) {
+
+
+  printf("\n>>>> Mean Float Complex Scalar Test\n");
+  assert(  creals(cvariancefs(FloatComplex(3.0f, 3.0f),FloatComplex(3.0f, 0.0f);)) ==  0.0f );
+  assert(  cimags(cvariancefs(FloatComplex(3.0f, 3.0f),FloatComplex(3.0f, 0.0f);)) ==  0.0f );
+  assert(  creals(cvariancefs(FloatComplex(1.123456789f, 1.123456789f),FloatComplex(1.123456789f, 1.123456789f))) ==  0.0f );
+  assert(  cimags(cvariancefs(FloatComplex(1.123456789f, 1.123456789f),FloatComplex(1.123456789f, 1.123456789f))) ==  0.0f );
+
+  return 0;
+}
+
+
+
+static int cvariancefaTest(void) {
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+  floatComplex result =FloatComplex(0.0f , 0.0f); 
+  
+  printf("\n>>>> Mean Float Complex Array Test\n");
+  result = cvariancefa(table1, 9, coef1);
+  /*printf("\nresult : %lf \t+ %lf i " ,creals(result) ,cimags(result)) ;*/
+
+  assert(  fabs(creals(result) - (  1.3834586f ) ) / fabs ( creals(result)  ) <  1e-6 );
+  assert(  fabs(cimags(result) - (  9.6090226f ) ) / fabs ( cimags(result)  ) <  1e-6 );
+
+  return 0;
+}
+
+/*
+static int crowvariancefaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 9);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 9);
+
+  floatComplex rowMeanmedTable1_3_3[3] = {FloatComplex(0.0f, 0.0f)};
+ 
+  floatComplex rowMeanmedTable1_1_9[9] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable1_9_1[1] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_2_5[5] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_5_2[2] = {FloatComplex(0.0f, 0.0f)};
+
+  printf("\n>>>> Row variancef Float Complex Array Test\n");
+
+ 
+
+  crowvariancefa(table1 , 3 , 3 , coef1 , rowMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+
+      printf("rowMeanmedTable_3_3[%d] = %e + %ei\n", i, creals(rowMeanmedTable1_3_3[i]), cimags(rowMeanmedTable1_3_3[i]));
+    }
+  assert( ( fabs(cimags(rowMeanmedTable1_3_3[0]) ) - ( 27.0f / 16.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( ( fabs(creals(rowMeanmedTable1_3_3[0]) ) - ( 49.0f / 16.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( ( fabs(cimags(rowMeanmedTable1_3_3[1]) ) - ( 90.0f / 19.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( ( fabs(creals(rowMeanmedTable1_3_3[1]) ) - ( 80.0f / 19.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( ( fabs(cimags(rowMeanmedTable1_3_3[2]) ) - (171.0f / 22.0f ) ) / fabs ( cimags(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( ( fabs(creals(rowMeanmedTable1_3_3[2]) ) - (117.0f / 22.0f ) ) / fabs ( creals(rowMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+*/
+
+
+/*
+static int ccolumnvariancefaTest(void) {
+
+  int i = 0 ;
+
+  float tableR1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f};
+  float tableI1[9] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f};
+  float coefR1[9] = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f}; 
+  float coefI1[9] = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  float tableR2[10] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f, 10.0f};
+  float tableI2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 15.0f};
+  float coefR2[10]  = {10.0f, 1.0f, 5.0f,11.0f , 2.0f, 6.0f,12.0f, 3.0f, 7.0f, 19.0f}; 
+  float coefI2[10]   = { 0.0f, 0.0f, 0.0f, 0.0f , 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; 
+
+  floatComplex* table1 = FloatComplexMatrix (tableR1, tableI1, 9);
+  floatComplex* coef1 = FloatComplexMatrix (coefR1, coefI1, 9);
+
+  floatComplex* table2 = FloatComplexMatrix (tableR2, tableI2, 9);
+  floatComplex* coef2 = FloatComplexMatrix (coefR2, coefI2, 9);
+
+  floatComplex columnMeanmedTable1_3_3[3] = {FloatComplex(0.0f, 0.0f)};
+ 
+  floatComplex rowMeanmedTable1_1_9[9] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable1_9_1[1] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_2_5[5] = {FloatComplex(0.0f, 0.0f)};
+  floatComplex rowMeanmedTable2_5_2[2] = {FloatComplex(0.0f, 0.0f)};
+
+
+  printf("\n>>>> Column variancef Float Complex Array Test\n");
+
+  
+
+  ccolumnvariancefa(table1 , 3 , 3 , coef1 , columnMeanmedTable1_3_3);
+
+  for (i = 0 ; i < 3 ; ++i )
+    {
+      printf("columnMeanmedTable_3_3[%d] = %e + %ei\n", i, creals(columnMeanmedTable1_3_3[i]), cimags(columnMeanmedTable1_3_3[i]));
+    }
+  assert( ( fabs(cimags(columnMeanmedTable1_3_3[0]) ) - (138.0f / 33.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  assert( ( fabs(creals(columnMeanmedTable1_3_3[0]) ) - ( 68.0f / 33.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[0])  ) <  1e-6 );
+  
+  assert( ( fabs(cimags(columnMeanmedTable1_3_3[1]) ) - ( 36.0f /  6.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+  assert( ( fabs(creals(columnMeanmedTable1_3_3[1]) ) - ( 32.0f /  6.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[1])  ) <  1e-6 );
+
+  assert( ( fabs(cimags(columnMeanmedTable1_3_3[2]) ) - (114.0f / 18.0f ) ) / fabs ( cimags(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+  assert( ( fabs(creals(columnMeanmedTable1_3_3[2]) ) - (146.0f / 18.0f ) ) / fabs ( creals(columnMeanmedTable1_3_3[2])  ) <  1e-6 );
+
+
+
+
+  return 0;
+}
+
+*/
+
+static int testvariancef(void) {
+
+  svariancefsTest();
+  svariancefaTest();
+  /*scolumnvariancefaTest();
+  srowvariancefaTest();*/
+  cvariancefsTest();
+  cvariancefaTest();
+  /*crowvariancefaTest();
+  ccolumnvariancefaTest();
+*/
+  return 0;
+}
+
+int main(void) {
+  assert(testvariancef() == 0);
+  return 0;
+}
+
diff --git a/src/c/statisticsFunctions/variancef/zcolumnvariancefa.c b/src/c/statisticsFunctions/variancef/zcolumnvariancefa.c
new file mode 100644
index 0000000..47fee75
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/zcolumnvariancefa.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "variancef.h"
+#include "matrixTranspose.h"
+
+void zcolumnvariancefa(doubleComplex *in1, int lines, int columns,doubleComplex *in2 , doubleComplex* out){
+    
+    int i = 0 ;
+    
+    doubleComplex* transp = (doubleComplex*) malloc ( sizeof (doubleComplex) *(unsigned int) (lines*columns));
+
+    
+    
+    ztransposea ( in1 , lines , columns , transp ) ;
+    
+
+    for ( i = 0; i < lines ; i++)
+    out[i] = zvariancefa ( transp + i*columns , columns, in2 ) ;
+    
+
+    free (transp);
+
+}
+
diff --git a/src/c/statisticsFunctions/variancef/zrowvariancefa.c b/src/c/statisticsFunctions/variancef/zrowvariancefa.c
new file mode 100644
index 0000000..b39b2ee
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/zrowvariancefa.c
@@ -0,0 +1,21 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+
+void zrowvariancefa(doubleComplex *in1, int lines, int columns,doubleComplex *in2, doubleComplex* out){
+    
+    int i = 0 ;
+    
+    for ( i = 0; i < columns ; i++)
+    out[i] = zvariancefa ( in1 + i*lines , lines , in2 ) ;
+}
diff --git a/src/c/statisticsFunctions/variancef/zvariancefa.c b/src/c/statisticsFunctions/variancef/zvariancefa.c
new file mode 100644
index 0000000..6de6f11
--- /dev/null
+++ b/src/c/statisticsFunctions/variancef/zvariancefa.c
@@ -0,0 +1,35 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+#include "variancef.h"
+#include "division.h"
+
+doubleComplex zvariancefa(doubleComplex *in1, int size, doubleComplex *in2)
+
+{
+  int i = 0 ;
+  doubleComplex temp = DoubleComplex (0.0, 0.0 );
+  doubleComplex accumulate =DoubleComplex (0.0, 0.0 );
+  doubleComplex accumulateFre = DoubleComplex (0.0, 0.0 );
+
+  doubleComplex meanf = zmeanfa (in1 , size , in2);
+  for(i = 0 ; i < size ; ++i)
+    {
+     temp = zpows (  zdiffs (in1[i] , meanf ) ,DoubleComplex (2.0, 0.0 ) );
+     temp = zmuls( in2[i] , temp);
+
+     accumulate = zadds( temp , accumulate);
+     accumulateFre =  zadds(in2[i ] ,accumulateFre );
+    }
+
+  return zrdivs(accumulate, zdiffs(accumulateFre ,DoubleComplex(1.0,0.0) ));
+}