sci2c arduino updated

27 files changed, 3537 insertions, 0 deletions

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 =	$(check_LDADD)
diff --git a/src/c/statisticsFunctions/variance/Makefile.in b/src/c/statisticsFunctions/variance/Makefile.in
new file mode 100644
index 0000000..9320286
--- /dev/null
+++ b/src/c/statisticsFunctions/variance/Makefile.in
@@ -0,0 +1,884 @@
+# Makefile.in generated by automake 1.11.1 from Makefile.am.
+# @configure_input@
+
+# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,
+# 2003, 2004, 2005, 2006, 2007, 2008, 2009  Free Software Foundation,
+# Inc.
+# This Makefile.in is free software; the Free Software Foundation
+# gives unlimited permission to copy and/or distribute it,
+# with or without modifications, as long as this notice is preserved.
+
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY, to the extent permitted by law; without
+# even the implied warranty of MERCHANTABILITY or FITNESS FOR A
+# PARTICULAR PURPOSE.
+
+@SET_MAKE@
+
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+host_triplet = @host@
+check_PROGRAMS = testFloatVarianceNono$(EXEEXT) \
+	testDoubleVarianceNono$(EXEEXT)
+TESTS = testFloatVarianceNono$(EXEEXT) testDoubleVarianceNono$(EXEEXT)
+subdir = src/c/statisticsFunctions/variance
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+	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 $@
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+	$(top_builddir)/src/fortran/lapack/libscilapack.la \
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+	$(top_builddir)/src/c/elementaryFunctions/pow/libPow.la \
+	$(top_builddir)/src/c/elementaryFunctions/log/libLog.la \
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+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)
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+	    tests="test"; \
+	    All=""; \
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+	    || cp -p $$d/$$file "$(distdir)/$$file" \
+	    || exit 1; \
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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;
+}
+
diff --git a/src/c/statisticsFunctions/variance/test_DoubleVariance/testDoubleVariance.vcxproj b/src/c/statisticsFunctions/variance/test_DoubleVariance/testDoubleVariance.vcxproj
new file mode 100644
index 0000000..51b2535
--- /dev/null
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@@ -0,0 +1,178 @@
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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 ;
+
+}
+