[787] | 1 | // Usuall mathematical functions and operations on arrays
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| 2 | // R. Ansari, C.Magneville 03/2000
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| 3 |
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[2615] | 4 | #include "sopnamsp.h"
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[787] | 5 | #include "machdefs.h"
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[882] | 6 | #include <math.h>
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[787] | 7 | #include "matharr.h"
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| 8 |
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| 9 | // ----------------------------------------------------
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| 10 | // Application d'une fonction
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| 11 | // ----------------------------------------------------
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| 12 |
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[926] | 13 | /*!
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| 14 | \class SOPHYA::MathArray
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| 15 | \ingroup TArray
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| 16 | Class for simple mathematical operation on arrays
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| 17 | \warning Instanciated only for \b real and \b double (r_4, r_8) type arrays
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| 18 | */
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[894] | 19 |
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| 20 | //! Apply Function In Place (function double version)
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| 21 | /*!
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| 22 | \param a : array to be replaced in place
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| 23 | \param f : function for replacement
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| 24 | \return Return an array \b a filled with function f(a(i,j))
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| 25 | */
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[787] | 26 | template <class T>
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| 27 | TArray<T>& MathArray<T>::ApplyFunctionInPlace(TArray<T> & a, Arr_DoubleFunctionOfX f)
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| 28 | {
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[804] | 29 | if (a.NbDimensions() < 1)
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| 30 | throw RangeCheckError("MathArray<T>::ApplyFunctionInPlace(TArray<T> & a..) Not Allocated Array a !");
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[787] | 31 | T * pe;
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[1156] | 32 | sa_size_t j,k;
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[787] | 33 | if (a.AvgStep() > 0) { // regularly spaced elements
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[1156] | 34 | sa_size_t step = a.AvgStep();
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| 35 | sa_size_t maxx = a.Size()*step;
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[787] | 36 | pe = a.Data();
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| 37 | for(k=0; k<maxx; k+=step ) pe[k] = (T)(f((double)pe[k]));
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| 38 | }
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| 39 | else { // Non regular data spacing ...
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[1156] | 40 | int_4 ka = a.MaxSizeKA();
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| 41 | sa_size_t step = a.Step(ka);
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| 42 | sa_size_t gpas = a.Size(ka)*step;
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| 43 | sa_size_t naxa = a.Size()/a.Size(ka);
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[813] | 44 | for(j=0; j<naxa; j++) {
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| 45 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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[787] | 46 | for(k=0; k<gpas; k+=step) pe[k] = (T)(f((double)pe[k]));
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| 47 | }
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| 48 | }
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| 49 | return(a);
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| 50 | }
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| 51 |
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[894] | 52 | //! Apply Function In Place (function float version)
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| 53 | /*!
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| 54 | \param a : array to be replaced in place
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| 55 | \param f : function for replacement
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| 56 | \return Return an array \b a filled with function f(a(i,j))
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| 57 | */
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[787] | 58 | template <class T>
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[2322] | 59 | TArray<T>& MathArray<T>::ApplyFunctionInPlaceF(TArray<T> & a, Arr_FloatFunctionOfX f)
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[787] | 60 | {
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[804] | 61 | if (a.NbDimensions() < 1)
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[2322] | 62 | throw RangeCheckError("MathArray<T>::ApplyFunctionInPlaceF(TArray<T> & a..) Not Allocated Array a !");
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[787] | 63 | T * pe;
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[1156] | 64 | sa_size_t j,k;
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[787] | 65 | if (a.AvgStep() > 0) { // regularly spaced elements
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[1156] | 66 | sa_size_t step = a.AvgStep();
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| 67 | sa_size_t maxx = a.Size()*step;
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[787] | 68 | pe = a.Data();
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| 69 | for(k=0; k<maxx; k+=step ) pe[k] = (T)(f((float)pe[k]));
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| 70 | }
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| 71 | else { // Non regular data spacing ...
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[1156] | 72 | int_4 ka = a.MaxSizeKA();
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| 73 | sa_size_t step = a.Step(ka);
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| 74 | sa_size_t gpas = a.Size(ka)*step;
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| 75 | sa_size_t naxa = a.Size()/a.Size(ka);
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[813] | 76 | for(j=0; j<naxa; j++) {
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| 77 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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[787] | 78 | for(k=0; k<gpas; k+=step) pe[k] = (T)(f((float)pe[k]));
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| 79 | }
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| 80 | }
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| 81 | return(a);
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| 82 | }
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| 83 |
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| 84 |
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[894] | 85 | //! Apply Function (function double version)
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| 86 | /*!
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| 87 | \param a : argument array of the function
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| 88 | \param f : function for replacement
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| 89 | \return Return a new array filled with function f(a(i,j))
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| 90 | */
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[787] | 91 | template <class T>
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| 92 | TArray<T> MathArray<T>::ApplyFunction(TArray<T> const & a, Arr_DoubleFunctionOfX f)
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| 93 | {
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| 94 | TArray<T> ra;
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| 95 | ra = a;
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| 96 | ApplyFunctionInPlace(ra, f);
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| 97 | return(ra);
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| 98 | }
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| 99 |
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[894] | 100 | //! Apply Function (function float version)
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| 101 | /*!
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| 102 | \param a : argument array of the function
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| 103 | \param f : function for replacement
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| 104 | \return Return a new array filled with function f(a(i,j))
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| 105 | */
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[787] | 106 | template <class T>
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[2322] | 107 | TArray<T> MathArray<T>::ApplyFunctionF(TArray<T> const & a, Arr_FloatFunctionOfX f)
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[787] | 108 | {
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| 109 | TArray<T> ra;
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| 110 | ra = a;
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[2322] | 111 | ApplyFunctionInPlaceF(ra, f);
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[787] | 112 | return(ra);
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| 113 | }
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| 114 |
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[894] | 115 | //! Compute \b mean and \b sigma of elements of array \b a, return \b mean
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[804] | 116 | template <class T>
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| 117 | double MathArray<T>::MeanSigma(TArray<T> const & a, double & mean, double & sig)
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| 118 | {
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| 119 | if (a.NbDimensions() < 1)
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| 120 | throw RangeCheckError("MathArray<T>::MeanSigma(TArray<T> const & a..) Not Allocated Array a !");
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| 121 | const T * pe;
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[1156] | 122 | sa_size_t j,k;
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[804] | 123 | mean=0.;
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| 124 | sig = 0.;
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| 125 | double valok;
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| 126 | if (a.AvgStep() > 0) { // regularly spaced elements
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[1156] | 127 | sa_size_t step = a.AvgStep();
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| 128 | sa_size_t maxx = a.Size()*step;
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[804] | 129 | pe = a.Data();
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| 130 | for(k=0; k<maxx; k+=step ) {
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| 131 | valok = (double) pe[k];
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| 132 | mean += valok; sig += valok*valok;
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| 133 | }
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| 134 | }
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| 135 | else { // Non regular data spacing ...
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[1156] | 136 | int_4 ka = a.MaxSizeKA();
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| 137 | sa_size_t step = a.Step(ka);
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| 138 | sa_size_t gpas = a.Size(ka)*step;
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| 139 | sa_size_t naxa = a.Size()/a.Size(ka);
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[813] | 140 | for(j=0; j<naxa; j++) {
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| 141 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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[804] | 142 | for(k=0; k<gpas; k+=step) {
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| 143 | valok = (double) pe[k];
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| 144 | mean += valok; sig += valok*valok;
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| 145 | }
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| 146 | }
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| 147 | }
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| 148 | double dsz = (double)(a.Size());
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| 149 | mean /= dsz;
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| 150 | sig = sig/dsz - mean*mean;
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[1013] | 151 | if (sig >= 0.) sig = sqrt(sig);
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[804] | 152 | return(mean);
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| 153 | }
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| 154 |
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[1517] | 155 |
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| 156 | //-------------------------------------------------------------------------------
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| 157 | // Definition utilitaire d'application de fonction
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| 158 | inline complex<r_8> ApplyComplexDoubleFunction(complex<r_8> z,
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| 159 | Arr_ComplexDoubleFunctionOfX f)
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| 160 | {
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| 161 | return(f(z));
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| 162 | }
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| 163 |
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| 164 | inline complex<r_4> ApplyComplexDoubleFunction(complex<r_4> z,
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| 165 | Arr_ComplexDoubleFunctionOfX f)
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| 166 | {
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| 167 | complex<r_8> zd((r_8)z.real(), (r_8)z.imag());
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| 168 | zd = f(zd);
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[1521] | 169 | complex<r_4> zr((r_4)zd.real(), (r_4)zd.imag());
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[1517] | 170 | return(zr);
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| 171 | }
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| 172 |
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| 173 | //-------------------------------------------------------------------------------
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| 174 |
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| 175 | /*!
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| 176 | \class SOPHYA::ComplexMathArray
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| 177 | \ingroup TArray
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| 178 | Class for simple mathematical operation on arrays
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| 179 | \warning Instanciated only for \b real and \b double (r_4, r_8) complex arrays
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| 180 | */
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| 181 |
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| 182 | //! Apply Function In Place (complex arrays)
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| 183 | /*!
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| 184 | \param a : complex array to be replaced in place
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| 185 | \param f : function for replacement
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| 186 | \return Return an array \b a filled with function f(a(i,j))
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| 187 | */
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| 188 | template <class T>
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| 189 | TArray< complex<T> >& ComplexMathArray<T>::ApplyFunctionInPlace(TArray< complex<T> > & a, Arr_ComplexDoubleFunctionOfX f)
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| 190 | {
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| 191 | if (a.NbDimensions() < 1)
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| 192 | throw RangeCheckError("ComplexMathArray< complex<T> >::ApplyFunctionInPlace(TArray< complex<T> > & a..) Not Allocated Array a !");
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| 193 | complex<T> * pe;
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| 194 | sa_size_t j,k;
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| 195 | if (a.AvgStep() > 0) { // regularly spaced elements
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| 196 | sa_size_t step = a.AvgStep();
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| 197 | sa_size_t maxx = a.Size()*step;
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| 198 | pe = a.Data();
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| 199 | for(k=0; k<maxx; k+=step ) pe[k] = ApplyComplexDoubleFunction(pe[k],f);
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| 200 | }
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| 201 | else { // Non regular data spacing ...
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| 202 | int_4 ka = a.MaxSizeKA();
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| 203 | sa_size_t step = a.Step(ka);
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| 204 | sa_size_t gpas = a.Size(ka)*step;
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| 205 | sa_size_t naxa = a.Size()/a.Size(ka);
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| 206 | for(j=0; j<naxa; j++) {
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| 207 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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| 208 | for(k=0; k<gpas; k+=step) pe[k] = ApplyComplexDoubleFunction(pe[k],f);
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| 209 | }
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| 210 | }
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| 211 | return(a);
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| 212 | }
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| 213 |
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| 214 |
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| 215 |
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| 216 | //! Apply Function (complex arrays)
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| 217 | /*!
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| 218 | \param a : argument array of the function
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| 219 | \param f : function for replacement
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| 220 | \return Return a new array filled with function f(a(i,j))
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| 221 | */
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| 222 | template <class T>
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| 223 | TArray< complex<T> > ComplexMathArray<T>::ApplyFunction(TArray< complex<T> > const & a, Arr_ComplexDoubleFunctionOfX f)
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| 224 | {
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| 225 | TArray< complex<T> > ra;
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| 226 | ra = a;
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| 227 | ApplyFunctionInPlace(ra, f);
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| 228 | return(ra);
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| 229 | }
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| 230 |
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| 231 | //! Create a complex array, from a real and an imaginary arrays
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| 232 | /*!
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| 233 | \param p_real : array containing the real part of the complex output array
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| 234 | \param p_imag : array containing the imaginary part of the complex output array
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| 235 | \return Return a new complex array build from \b p_real and \b p_imag
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| 236 | */
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| 237 | template <class T>
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| 238 | TArray< complex<T> > ComplexMathArray<T>::FillFrom(TArray<T> const & p_real,
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| 239 | TArray<T> const & p_imag)
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| 240 | {
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| 241 | if (p_real.NbDimensions() < 1)
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| 242 | throw RangeCheckError("ComplexMathArray<T>::FillFrom() - Not Allocated Array ! ");
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| 243 | bool smo;
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| 244 | if (!p_real.CompareSizes(p_imag, smo))
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| 245 | throw(SzMismatchError("ComplexMathArray<T>::FillFrom() SizeMismatch")) ;
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| 246 |
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| 247 | TArray< complex<T> > ra;
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| 248 | ra.ReSize(p_real);
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| 249 |
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| 250 | complex<T> * pe;
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| 251 | const T * per;
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| 252 | const T * pei;
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| 253 | sa_size_t j,k,ka;
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| 254 | if (smo && (p_real.AvgStep() > 0) && (p_imag.AvgStep() > 0)) { // regularly spaced elements
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| 255 | sa_size_t step = p_real.AvgStep();
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| 256 | sa_size_t stepa = p_imag.AvgStep();
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| 257 | sa_size_t maxx = p_real.Size()*step;
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| 258 | per = p_real.Data();
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| 259 | pei = p_imag.Data();
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| 260 | pe = ra.Data();
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| 261 | for(k=0, ka=0; k<maxx; k+=step, ka+=stepa )
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| 262 | pe[k] = complex<T>(per[k], pei[ka]) ;
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| 263 | }
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| 264 | else { // Non regular data spacing ...
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| 265 | int_4 ax,axa;
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| 266 | sa_size_t step, stepa;
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| 267 | sa_size_t gpas, naxa;
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| 268 | p_real.GetOpeParams(p_imag, smo, ax, axa, step, stepa, gpas, naxa);
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| 269 | for(j=0; j<naxa; j++) {
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| 270 | per = p_real.Data()+p_real.Offset(ax,j);
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| 271 | pei = p_imag.Data()+p_imag.Offset(axa,j);
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| 272 | pe = ra.Data()+ra.Offset(ax,j);
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| 273 | for(k=0, ka=0; k<gpas; k+=step, ka+=stepa)
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| 274 | pe[k] = complex<T>(per[k], pei[ka]) ;
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| 275 | }
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| 276 | }
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| 277 | return(ra);
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| 278 | }
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| 279 |
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| 280 |
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| 281 | //! Returns the real part of the complex input array.
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| 282 | /*!
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| 283 | \param a : input complex array
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| 284 | \return Return a new array filled with the real part of the input complex array elements
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| 285 | */
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| 286 |
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| 287 | template <class T>
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| 288 | TArray<T> ComplexMathArray<T>::real(TArray< complex<T> > const & a)
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| 289 | {
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| 290 | if (a.NbDimensions() < 1)
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| 291 | throw RangeCheckError("ComplexMathArray< complex<T> >::real(TArray< complex<T> >& a) Not Allocated Array a !");
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| 292 | TArray<T> ra;
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| 293 | ra.ReSize(a);
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| 294 |
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| 295 | const complex<T> * pe;
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| 296 | T * po;
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| 297 | sa_size_t j,k;
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| 298 | if (a.AvgStep() > 0) { // regularly spaced elements
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| 299 | sa_size_t step = a.AvgStep();
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| 300 | sa_size_t maxx = a.Size()*step;
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| 301 | pe = a.Data();
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| 302 | po = ra.Data();
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| 303 | for(k=0; k<maxx; k+=step ) po[k] = pe[k].real();
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| 304 | }
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| 305 | else { // Non regular data spacing ...
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| 306 | int_4 ka = a.MaxSizeKA();
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| 307 | sa_size_t step = a.Step(ka);
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| 308 | sa_size_t gpas = a.Size(ka)*step;
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| 309 | sa_size_t naxa = a.Size()/a.Size(ka);
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| 310 | for(j=0; j<naxa; j++) {
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| 311 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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| 312 | po = ra.DataBlock().Begin()+ra.Offset(ka,j);
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| 313 | for(k=0; k<gpas; k+=step) po[k] = pe[k].real();
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| 314 | }
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| 315 | }
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| 316 | return(ra);
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| 317 | }
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| 318 |
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| 319 | //! Returns the imaginary part of the complex input array.
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| 320 | /*!
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| 321 | \param a : input complex array
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| 322 | \return Return a new array filled with the imaginary part of the input complex array elements
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| 323 | */
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| 324 |
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| 325 | template <class T>
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| 326 | TArray<T> ComplexMathArray<T>::imag(TArray< complex<T> > const & a)
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| 327 | {
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| 328 | if (a.NbDimensions() < 1)
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| 329 | throw RangeCheckError("ComplexMathArray< complex<T> >::imag(TArray< complex<T> >& a) Not Allocated Array a !");
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| 330 | TArray<T> ra;
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| 331 | ra.ReSize(a);
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| 332 |
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| 333 | const complex<T> * pe;
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| 334 | T * po;
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| 335 | sa_size_t j,k;
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| 336 | if (a.AvgStep() > 0) { // regularly spaced elements
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| 337 | sa_size_t step = a.AvgStep();
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| 338 | sa_size_t maxx = a.Size()*step;
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| 339 | pe = a.Data();
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| 340 | po = ra.Data();
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| 341 | for(k=0; k<maxx; k+=step ) po[k] = pe[k].imag();
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| 342 | }
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| 343 | else { // Non regular data spacing ...
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| 344 | int_4 ka = a.MaxSizeKA();
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| 345 | sa_size_t step = a.Step(ka);
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| 346 | sa_size_t gpas = a.Size(ka)*step;
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| 347 | sa_size_t naxa = a.Size()/a.Size(ka);
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| 348 | for(j=0; j<naxa; j++) {
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| 349 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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| 350 | po = ra.DataBlock().Begin()+ra.Offset(ka,j);
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| 351 | for(k=0; k<gpas; k+=step) po[k] = pe[k].imag();
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| 352 | }
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| 353 | }
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| 354 | return(ra);
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| 355 | }
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| 356 |
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| 357 | //! Returns the module squared of the complex input array.
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| 358 | /*!
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| 359 | \param a : input complex array
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| 360 | \return Return a new array filled with the module squared of the input complex array elements
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| 361 | */
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| 362 |
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| 363 | template <class T>
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| 364 | TArray<T> ComplexMathArray<T>::module2(TArray< complex<T> > const & a)
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| 365 | {
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| 366 | if (a.NbDimensions() < 1)
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| 367 | throw RangeCheckError("ComplexMathArray< complex<T> >::module2(TArray< complex<T> >& a) Not Allocated Array a !");
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| 368 | TArray<T> ra;
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| 369 | ra.ReSize(a);
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| 370 |
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| 371 | const complex<T> * pe;
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| 372 | T * po;
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| 373 | sa_size_t j,k;
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| 374 | if (a.AvgStep() > 0) { // regularly spaced elements
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| 375 | sa_size_t step = a.AvgStep();
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| 376 | sa_size_t maxx = a.Size()*step;
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| 377 | pe = a.Data();
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| 378 | po = ra.Data();
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| 379 | for(k=0; k<maxx; k+=step )
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| 380 | po[k] = (pe[k].real()*pe[k].real()+pe[k].imag()*pe[k].imag());
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| 381 | }
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| 382 | else { // Non regular data spacing ...
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| 383 | int_4 ka = a.MaxSizeKA();
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| 384 | sa_size_t step = a.Step(ka);
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| 385 | sa_size_t gpas = a.Size(ka)*step;
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| 386 | sa_size_t naxa = a.Size()/a.Size(ka);
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| 387 | for(j=0; j<naxa; j++) {
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| 388 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
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| 389 | po = ra.DataBlock().Begin()+ra.Offset(ka,j);
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| 390 | for(k=0; k<gpas; k+=step)
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| 391 | po[k] = (pe[k].real()*pe[k].real()+pe[k].imag()*pe[k].imag());
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| 392 | }
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| 393 | }
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| 394 | return(ra);
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| 395 | }
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| 396 |
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| 397 | //! Returns the module of the complex input array.
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| 398 | /*!
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| 399 | \param a : input complex array
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| 400 | \return Return a new array filled with the module of the input complex array elements
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| 401 | */
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| 402 |
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| 403 | template <class T>
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| 404 | TArray<T> ComplexMathArray<T>::module(TArray< complex<T> > const & a)
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| 405 | {
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| 406 | if (a.NbDimensions() < 1)
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| 407 | throw RangeCheckError("ComplexMathArray< complex<T> >::module(TArray< complex<T> >& a) Not Allocated Array a !");
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| 408 | TArray<T> ra;
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| 409 | ra.ReSize(a);
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| 410 |
|
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| 411 | const complex<T> * pe;
|
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| 412 | T * po;
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| 413 | sa_size_t j,k;
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| 414 | if (a.AvgStep() > 0) { // regularly spaced elements
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| 415 | sa_size_t step = a.AvgStep();
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| 416 | sa_size_t maxx = a.Size()*step;
|
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| 417 | pe = a.Data();
|
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| 418 | po = ra.Data();
|
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| 419 | for(k=0; k<maxx; k+=step )
|
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| 420 | po[k] = sqrt((double)(pe[k].real()*pe[k].real()+pe[k].imag()*pe[k].imag()));
|
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| 421 | }
|
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| 422 | else { // Non regular data spacing ...
|
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| 423 | int_4 ka = a.MaxSizeKA();
|
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| 424 | sa_size_t step = a.Step(ka);
|
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| 425 | sa_size_t gpas = a.Size(ka)*step;
|
---|
| 426 | sa_size_t naxa = a.Size()/a.Size(ka);
|
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| 427 | for(j=0; j<naxa; j++) {
|
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| 428 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
|
---|
| 429 | po = ra.DataBlock().Begin()+ra.Offset(ka,j);
|
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| 430 | for(k=0; k<gpas; k+=step)
|
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| 431 | po[k] = sqrt((double)(pe[k].real()*pe[k].real()+pe[k].imag()*pe[k].imag()));
|
---|
| 432 | }
|
---|
| 433 | }
|
---|
| 434 | return(ra);
|
---|
| 435 | }
|
---|
| 436 |
|
---|
| 437 |
|
---|
| 438 | //! Returns the phase of the complex input array.
|
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| 439 | /*!
|
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| 440 | \param a : input complex array
|
---|
| 441 | \return Return a new array filled with the phase of the input complex array elements
|
---|
| 442 | */
|
---|
| 443 |
|
---|
| 444 | template <class T>
|
---|
| 445 | TArray<T> ComplexMathArray<T>::phase(TArray< complex<T> > const & a)
|
---|
| 446 | {
|
---|
| 447 | if (a.NbDimensions() < 1)
|
---|
| 448 | throw RangeCheckError("ComplexMathArray< complex<T> >::phase(TArray< complex<T> >& a) Not Allocated Array a !");
|
---|
| 449 | TArray<T> ra;
|
---|
| 450 | ra.ReSize(a);
|
---|
| 451 |
|
---|
| 452 | const complex<T> * pe;
|
---|
| 453 | T * po;
|
---|
| 454 | sa_size_t j,k;
|
---|
| 455 | if (a.AvgStep() > 0) { // regularly spaced elements
|
---|
| 456 | sa_size_t step = a.AvgStep();
|
---|
| 457 | sa_size_t maxx = a.Size()*step;
|
---|
| 458 | pe = a.Data();
|
---|
| 459 | po = ra.Data();
|
---|
| 460 | for(k=0; k<maxx; k+=step )
|
---|
| 461 | po[k] = atan2((double)pe[k].imag(), (double)pe[k].real());
|
---|
| 462 | }
|
---|
| 463 | else { // Non regular data spacing ...
|
---|
| 464 | int_4 ka = a.MaxSizeKA();
|
---|
| 465 | sa_size_t step = a.Step(ka);
|
---|
| 466 | sa_size_t gpas = a.Size(ka)*step;
|
---|
| 467 | sa_size_t naxa = a.Size()/a.Size(ka);
|
---|
| 468 | for(j=0; j<naxa; j++) {
|
---|
| 469 | pe = a.DataBlock().Begin()+a.Offset(ka,j);
|
---|
| 470 | po = ra.DataBlock().Begin()+ra.Offset(ka,j);
|
---|
| 471 | for(k=0; k<gpas; k+=step)
|
---|
| 472 | po[k] = atan2((double)pe[k].imag(), (double)pe[k].real());
|
---|
| 473 | }
|
---|
| 474 | }
|
---|
| 475 | return(ra);
|
---|
| 476 | }
|
---|
| 477 |
|
---|
| 478 |
|
---|
[787] | 479 | ///////////////////////////////////////////////////////////////
|
---|
| 480 | #ifdef __CXX_PRAGMA_TEMPLATES__
|
---|
| 481 | #pragma define_template MathArray<r_4>
|
---|
| 482 | #pragma define_template MathArray<r_8>
|
---|
[1517] | 483 | #pragma define_template ComplexMathArray<r_4>
|
---|
| 484 | #pragma define_template ComplexMathArray<r_8>
|
---|
[787] | 485 | #endif
|
---|
| 486 |
|
---|
| 487 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
|
---|
| 488 | template class MathArray<r_4>;
|
---|
| 489 | template class MathArray<r_8>;
|
---|
[1517] | 490 | template class ComplexMathArray<r_4>;
|
---|
| 491 | template class ComplexMathArray<r_8>;
|
---|
[787] | 492 | #endif
|
---|