diff options
Diffstat (limited to '2.3-1/src/c/statisticsFunctions/meanf')
20 files changed, 2254 insertions, 0 deletions
diff --git a/2.3-1/src/c/statisticsFunctions/meanf/Makefile.am b/2.3-1/src/c/statisticsFunctions/meanf/Makefile.am new file mode 100644 index 00000000..789caac8 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/Makefile.in b/2.3-1/src/c/statisticsFunctions/meanf/Makefile.in new file mode 100644 index 00000000..97e65efc --- /dev/null +++ b/2.3-1/src/c/statisticsFunctions/meanf/Makefile.in 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a/2.3-1/src/c/statisticsFunctions/meanf/ccolumnmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/ccolumnmeanfa.c new file mode 100644 index 00000000..90dbb8b7 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/cmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/cmeanfa.c new file mode 100644 index 00000000..1aeef53d --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/cmeanfcs.c b/2.3-1/src/c/statisticsFunctions/meanf/cmeanfcs.c new file mode 100644 index 00000000..e0c769a3 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/cmeanfsc.c b/2.3-1/src/c/statisticsFunctions/meanf/cmeanfsc.c new file mode 100644 index 00000000..03c7d421 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/crowmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/crowmeanfa.c new file mode 100644 index 00000000..14dc3271 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/dcolumnmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/dcolumnmeanfa.c new file mode 100644 index 00000000..e8d25a33 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/dmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/dmeanfa.c new file mode 100644 index 00000000..be3bb375 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/drowmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/drowmeanfa.c new file mode 100644 index 00000000..ce3523cb --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/scolumnmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/scolumnmeanfa.c new file mode 100644 index 00000000..bb3ffca8 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/smeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/smeanfa.c new file mode 100644 index 00000000..64985e78 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/srowmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/srowmeanfa.c new file mode 100644 index 00000000..3cdacb82 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/testDoubleMeanf.c b/2.3-1/src/c/statisticsFunctions/meanf/testDoubleMeanf.c new file mode 100644 index 00000000..f528f1df --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/testFloatMeanf.c b/2.3-1/src/c/statisticsFunctions/meanf/testFloatMeanf.c new file mode 100644 index 00000000..ead8a86b --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/zcolumnmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/zcolumnmeanfa.c new file mode 100644 index 00000000..efbfa89a --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/zmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/zmeanfa.c new file mode 100644 index 00000000..f6691d91 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/zmeanfdz.c b/2.3-1/src/c/statisticsFunctions/meanf/zmeanfdz.c new file mode 100644 index 00000000..a53902bc --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/zmeanfzd.c b/2.3-1/src/c/statisticsFunctions/meanf/zmeanfzd.c new file mode 100644 index 00000000..f31910b4 --- /dev/null +++ b/2.3-1/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/2.3-1/src/c/statisticsFunctions/meanf/zrowmeanfa.c b/2.3-1/src/c/statisticsFunctions/meanf/zrowmeanfa.c new file mode 100644 index 00000000..79114137 --- /dev/null +++ b/2.3-1/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) ; + } +} |