[1081] | 1 | // $Id: tmatrix.cc,v 1.13 2000-07-24 12:51:27 ansari Exp $
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[762] | 2 | // C.Magneville 04/99
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| 3 | #include "machdefs.h"
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| 4 | #include <stdio.h>
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| 5 | #include <stdlib.h>
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| 6 | #include "pexceptions.h"
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| 7 | #include "tmatrix.h"
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| 8 |
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[926] | 9 | /*!
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| 10 | \class SOPHYA::TMatrix
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| 11 | \ingroup TArray
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| 12 | Class of matrixes
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| 13 | \sa TArray
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| 14 | */
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[804] | 15 |
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[762] | 16 | ////////////////////////////////////////////////////////////////
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| 17 | //**** Createur, Destructeur
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[894] | 18 | //! Default constructor
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[762] | 19 | template <class T>
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| 20 | TMatrix<T>::TMatrix()
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| 21 | // Constructeur par defaut.
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[804] | 22 | : TArray<T>()
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[762] | 23 | {
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[813] | 24 | ck_memo_vt_ = true;
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[762] | 25 | }
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| 26 |
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[894] | 27 | //! constructor of a matrix with r lines et c columns.
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| 28 | /*!
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| 29 | \param r : number of rows
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| 30 | \param c : number of columns
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| 31 | \param mm : define the memory mapping type
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| 32 | \sa ReSize
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| 33 | */
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[762] | 34 | template <class T>
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[804] | 35 | TMatrix<T>::TMatrix(uint_4 r,uint_4 c, short mm)
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[762] | 36 | // Construit une matrice de r lignes et c colonnes.
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[804] | 37 | : TArray<T>()
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[762] | 38 | {
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[804] | 39 | if ( (r == 0) || (c == 0) )
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| 40 | throw ParmError("TMatrix<T>::TMatrix(uint_4 r,uint_4 c) NRows or NCols = 0");
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| 41 | ReSize(r, c, mm);
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[762] | 42 | }
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| 43 |
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[967] | 44 | //! Constructor by copy
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[976] | 45 | /*!
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| 46 | \warning datas are \b SHARED with \b a.
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| 47 | \sa NDataBlock::NDataBlock(const NDataBlock<T>&)
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| 48 | */
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[762] | 49 | template <class T>
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| 50 | TMatrix<T>::TMatrix(const TMatrix<T>& a)
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[967] | 51 | // Constructeur par copie
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[804] | 52 | : TArray<T>(a)
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[762] | 53 | {
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| 54 | }
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| 55 |
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[894] | 56 | //! Constructor by copy
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| 57 | /*!
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| 58 | \param share : if true, share data. If false copy data
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| 59 | */
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[762] | 60 | template <class T>
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[804] | 61 | TMatrix<T>::TMatrix(const TMatrix<T>& a, bool share)
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[762] | 62 | // Constructeur par copie avec possibilite de forcer le partage ou non.
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[804] | 63 | : TArray<T>(a, share)
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[762] | 64 | {
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| 65 | }
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| 66 |
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[894] | 67 | //! Constructor of a matrix from a TArray \b a
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[762] | 68 | template <class T>
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[804] | 69 | TMatrix<T>::TMatrix(const TArray<T>& a)
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| 70 | : TArray<T>(a)
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[762] | 71 | {
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[813] | 72 | if (a.NbDimensions() > 2)
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| 73 | throw SzMismatchError("TMatrix<T>::TMatrix(const TArray<T>& a) a.NbDimensions()>2 ");
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| 74 | if (a.NbDimensions() == 1) {
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| 75 | size_[1] = 1;
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| 76 | step_[1] = size_[0]*step_[0];
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| 77 | ndim_ = 2;
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| 78 | }
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| 79 | UpdateMemoryMapping(a, SameMemoryMapping);
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[762] | 80 | }
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| 81 |
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[894] | 82 | //! Constructor of a matrix from a TArray \b a
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| 83 | /*!
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| 84 | \param a : TArray to be copied or shared
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| 85 | \param share : if true, share data. If false copy data
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| 86 | \param mm : define the memory mapping type
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| 87 | */
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[762] | 88 | template <class T>
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[804] | 89 | TMatrix<T>::TMatrix(const TArray<T>& a, bool share, short mm )
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| 90 | : TArray<T>(a, share)
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[762] | 91 | {
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[813] | 92 | if (a.NbDimensions() > 2)
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| 93 | throw SzMismatchError("TMatrix<T>::TMatrix(const TArray<T>& a, ...) a.NbDimensions()>2");
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| 94 | if (a.NbDimensions() == 1) {
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| 95 | size_[1] = 1;
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| 96 | step_[1] = size_[0]*step_[0];
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| 97 | ndim_ = 2;
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| 98 | }
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[804] | 99 | UpdateMemoryMapping(a, mm);
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[762] | 100 | }
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| 101 |
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[1081] | 102 | template <class T>
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| 103 | TMatrix<T>::TMatrix(const BaseArray& a)
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| 104 | : TArray<T>()
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| 105 | {
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| 106 | SetBA(a);
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| 107 | }
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| 108 |
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| 109 |
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| 110 |
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[894] | 111 | //! Destructor
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[762] | 112 | template <class T>
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[804] | 113 | TMatrix<T>::~TMatrix()
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[762] | 114 | {
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| 115 | }
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| 116 |
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[976] | 117 | //! Set matrix equal to \b a and return *this
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| 118 | /*!
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| 119 | \warning Datas are copied (cloned) from \b a.
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| 120 | \sa NDataBlock::operator=(const NDataBlock<T>&)
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| 121 | */
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[804] | 122 | template <class T>
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| 123 | TArray<T>& TMatrix<T>::Set(const TArray<T>& a)
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[762] | 124 | {
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[813] | 125 | if (a.NbDimensions() > 2)
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| 126 | throw SzMismatchError("TMatrix<T>::Set(const TArray<T>& a) a.NbDimensions() > 2");
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| 127 | TArray<T>::Set(a);
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[970] | 128 | if (NbDimensions() == 1) {
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[813] | 129 | size_[1] = 1;
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| 130 | step_[1] = size_[0]*step_[0];
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| 131 | ndim_ = 2;
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| 132 | }
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[970] | 133 | UpdateMemoryMapping(*this, SameMemoryMapping);
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[813] | 134 | return(*this);
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[762] | 135 | }
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| 136 |
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[1081] | 137 | template <class T>
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| 138 | TArray<T>& TMatrix<T>::SetBA(const BaseArray& a)
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| 139 | {
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| 140 | if (a.NbDimensions() > 2)
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| 141 | throw SzMismatchError("TMatrix<T>::SetBA(const BaseArray& a) a.NbDimensions() > 2");
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| 142 | TArray<T>::SetBA(a);
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| 143 | if (NbDimensions() == 1) {
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| 144 | size_[1] = 1;
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| 145 | step_[1] = size_[0]*step_[0];
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| 146 | ndim_ = 2;
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| 147 | }
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| 148 | UpdateMemoryMapping(*this, SameMemoryMapping);
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| 149 | return(*this);
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| 150 | }
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| 151 |
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| 152 |
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| 153 |
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[894] | 154 | //! Resize the matrix
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| 155 | /*!
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| 156 | \param r : number of rows
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| 157 | \param c : number of columns
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| 158 | \param mm : define the memory mapping type
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| 159 | (SameMemoryMapping,CMemoryMapping
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| 160 | ,FortranMemoryMapping,DefaultMemoryMapping)
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| 161 | */
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[804] | 162 | template <class T>
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| 163 | void TMatrix<T>::ReSize(uint_4 r, uint_4 c, short mm)
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[762] | 164 | {
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[804] | 165 | if(r==0||c==0)
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| 166 | throw(SzMismatchError("TMatrix::ReSize r or c==0 "));
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| 167 | uint_4 size[BASEARRAY_MAXNDIMS];
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| 168 | for(int kk=0; kk<BASEARRAY_MAXNDIMS; kk++) size[kk] = 0;
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| 169 | if (mm == SameMemoryMapping) mm = GetMemoryMapping();
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[813] | 170 | else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
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| 171 | mm = GetDefaultMemoryMapping();
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| 172 | if (mm == CMemoryMapping) {
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| 173 | size[0] = c; size[1] = r;
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| 174 | }
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| 175 | else {
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| 176 | size[0] = r; size[1] = c;
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| 177 | }
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[804] | 178 | TArray<T>::ReSize(2, size, 1);
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[813] | 179 | UpdateMemoryMapping(mm);
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[762] | 180 | }
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| 181 |
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[894] | 182 | //! Re-allocate space for the matrix
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| 183 | /*!
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| 184 | \param r : number of rows
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| 185 | \param c : number of columns
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| 186 | \param mm : define the memory mapping type
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| 187 | \param force : if true re-allocation is forced, if not it occurs
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| 188 | only if the required space is greater than the old one.
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| 189 | \sa ReSize
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| 190 | */
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[762] | 191 | template <class T>
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[804] | 192 | void TMatrix<T>::Realloc(uint_4 r,uint_4 c, short mm, bool force)
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[762] | 193 | {
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[804] | 194 | if(r==0||c==0)
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| 195 | throw(SzMismatchError("TMatrix::Realloc r or c==0 "));
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| 196 | uint_4 size[BASEARRAY_MAXNDIMS];
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| 197 | for(int kk=0; kk<BASEARRAY_MAXNDIMS; kk++) size[kk] = 0;
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[813] | 198 | if (mm == SameMemoryMapping) mm = GetMemoryMapping();
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| 199 | else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
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| 200 | mm = GetDefaultMemoryMapping();
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| 201 | if (mm == CMemoryMapping) {
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| 202 | size[0] = c; size[1] = r;
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| 203 | }
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| 204 | else {
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| 205 | size[0] = r; size[1] = c;
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| 206 | }
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[804] | 207 | TArray<T>::Realloc(2, size, 1, force);
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[813] | 208 | UpdateMemoryMapping(mm);
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[762] | 209 | }
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| 210 |
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[804] | 211 | // $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
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[894] | 212 | //! Return a submatrix define by \b Range \b rline and \b rcol
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[762] | 213 | template <class T>
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[813] | 214 | TMatrix<T> TMatrix<T>::SubMatrix(Range rline, Range rcol) const
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[762] | 215 | {
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[813] | 216 | short mm = GetMemoryMapping();
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| 217 | Range rx, ry;
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| 218 | if (mm == CMemoryMapping) { rx = rcol; ry = rline; }
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| 219 | else { ry = rcol; rx = rline; }
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| 220 | TMatrix sm(SubArray(rx, ry, Range(0), Range(0), Range(0)),true, mm);
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| 221 | sm.UpdateMemoryMapping(mm);
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| 222 | sm.SetTemp(true);
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| 223 | return(sm);
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[762] | 224 | }
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| 225 |
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[804] | 226 | ////////////////////////////////////////////////////////////////
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| 227 | // Transposition
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[894] | 228 | //! Transpose matrix in place
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[762] | 229 | template <class T>
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[804] | 230 | TMatrix<T>& TMatrix<T>::Transpose()
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| 231 | {
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[813] | 232 | short vt = (marowi_ == veceli_) ? ColumnVector : RowVector;
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[804] | 233 | uint_4 rci = macoli_;
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| 234 | macoli_ = marowi_;
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| 235 | marowi_ = rci;
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[813] | 236 | veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
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[804] | 237 | return(*this);
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[762] | 238 | }
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| 239 |
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| 240 |
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[894] | 241 | //! Transpose matrix into new matrix
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| 242 | /*!
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| 243 | \param mm : define the memory mapping type
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| 244 | (SameMemoryMapping,CMemoryMapping,FortranMemoryMapping)
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| 245 | \return return a new matrix
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| 246 | */
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[762] | 247 | template <class T>
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[804] | 248 | TMatrix<T> TMatrix<T>::Transpose(short mm)
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[762] | 249 | {
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[804] | 250 | if (mm == SameMemoryMapping) mm = GetMemoryMapping();
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| 251 | TMatrix<T> tm(NCols(), NRows(), mm);
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| 252 | for(uint_4 i=0; i<NRows(); i++)
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| 253 | for(uint_4 j=0; j<NCols(); j++)
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| 254 | tm(j,i) = (*this)(i,j);
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| 255 | tm.SetTemp(true);
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| 256 | return tm;
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[762] | 257 | }
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| 258 |
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[894] | 259 | //! Rearrange data in memory memoire according to \b mm
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| 260 | /*!
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| 261 | \param mm : define the memory mapping type
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| 262 | (SameMemoryMapping,CMemoryMapping,FortranMemoryMapping)
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| 263 | \warning If identical, return a matrix that share the datas
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| 264 | */
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[762] | 265 | template <class T>
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[804] | 266 | TMatrix<T> TMatrix<T>::Rearrange(short mm)
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[762] | 267 | {
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[813] | 268 | if ( mm == SameMemoryMapping) mm = GetMemoryMapping();
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| 269 | else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
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| 270 | mm = GetDefaultMemoryMapping();
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| 271 |
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| 272 | if (mm == GetMemoryMapping())
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| 273 | return (TMatrix<T>(*this, true));
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| 274 |
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[804] | 275 | TMatrix<T> tm(NRows(), NCols(), mm);
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| 276 | for(uint_4 i=0; i<NRows(); i++)
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| 277 | for(uint_4 j=0; j<NCols(); j++)
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| 278 | tm(i,j) = (*this)(i,j);
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| 279 | tm.SetTemp(true);
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| 280 | return tm;
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[762] | 281 | }
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| 282 |
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[894] | 283 | //! Set the matrix to the identity matrix \b imx
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[762] | 284 | template <class T>
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[804] | 285 | TMatrix<T>& TMatrix<T>::SetIdentity(IdentityMatrix imx)
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[762] | 286 | {
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[804] | 287 | if (ndim_ == 0) {
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| 288 | uint_4 sz = imx.Size();
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| 289 | if (sz < 1) sz = 1;
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| 290 | ReSize(sz, sz);
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| 291 | }
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| 292 | T diag = (T)imx.Diag();
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| 293 | if (NRows() != NCols())
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| 294 | throw SzMismatchError("TMatrix::operator= (IdentityMatrix) NRows() != NCols()") ;
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[996] | 295 | *this = (T) 0;
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[804] | 296 | for(uint_4 i=0; i<NRows(); i++) (*this)(i,i) = diag;
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[762] | 297 |
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[804] | 298 | return (*this);
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[762] | 299 | }
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| 300 |
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[804] | 301 |
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| 302 |
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| 303 | ////////////////////////////////////////////////////////////////
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| 304 | //**** Impression
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[894] | 305 | //! Return info on number of rows, column and type \b T
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[762] | 306 | template <class T>
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[813] | 307 | string TMatrix<T>::InfoString() const
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| 308 | {
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| 309 | string rs = "TMatrix<";
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| 310 | rs += typeid(T).name();
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| 311 | char buff[64];
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| 312 | sprintf(buff, ">(NRows=%ld, NCols=%ld)", (long)NRows(), (long)NCols());
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| 313 | rs += buff;
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| 314 | return(rs);
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| 315 | }
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| 316 |
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[894] | 317 | //! Print matrix
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| 318 | /*!
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| 319 | \param maxprt : maximum numer of print
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| 320 | \param si : if true, display attached DvList
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| 321 | \sa SetMaxPrint
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| 322 | */
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[813] | 323 | template <class T>
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[804] | 324 | void TMatrix<T>::Print(ostream& os, int_4 maxprt, bool si) const
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[762] | 325 | {
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[804] | 326 | if (maxprt < 0) maxprt = max_nprt_;
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[958] | 327 | uint_4 npr = 0;
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[804] | 328 | Show(os, si);
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[850] | 329 | if (ndim_ < 1) return;
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[804] | 330 | uint_4 kc,kr;
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| 331 | for(kr=0; kr<size_[marowi_]; kr++) {
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| 332 | if ( (size_[marowi_] > 1) && (size_[macoli_] > 10) ) cout << "----- Ligne Line= " << kr << endl;
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| 333 | for(kc=0; kc<size_[macoli_]; kc++) {
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| 334 | if(kc > 0) os << ", ";
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| 335 | os << (*this)(kr, kc); npr++;
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[958] | 336 | if (npr >= (uint_4) maxprt) {
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[804] | 337 | if (npr < totsize_) os << "\n .... " << endl; return;
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| 338 | }
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| 339 | }
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| 340 | os << endl;
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| 341 | }
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[813] | 342 | os << endl;
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[762] | 343 | }
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| 344 |
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| 345 | ////////////////////////////////////////////////////////////////
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[804] | 346 | //**** Multiplication matricielle *****
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[762] | 347 | ////////////////////////////////////////////////////////////////
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| 348 |
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[894] | 349 | //! Return the matrix product C = (*this)*B
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| 350 | /*!
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| 351 | \param mm : define the memory mapping type for the return matrix
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| 352 | */
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[804] | 353 | template <class T>
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| 354 | TMatrix<T> TMatrix<T>::Multiply(const TMatrix<T>& b, short mm) const
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| 355 | {
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| 356 | if (NCols() != b.NRows())
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| 357 | throw(SzMismatchError("TMatrix<T>::Multiply(b) NCols() != b.NRows() ") );
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| 358 | if (mm == SameMemoryMapping) mm = GetMemoryMapping();
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| 359 | TMatrix<T> rm(NRows(), b.NCols(), mm);
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[762] | 360 |
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[804] | 361 | const T * pea;
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| 362 | const T * peb;
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| 363 | T sum;
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| 364 | uint_4 r,c,k;
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| 365 | uint_4 stepa = Step(ColsKA());
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| 366 | uint_4 stepb = b.Step(RowsKA());
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| 367 | // Calcul de C=rm = A*B (A=*this)
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| 368 | for(r=0; r<rm.NRows(); r++) // Boucle sur les lignes de A
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| 369 | for(c=0; c<rm.NCols(); c++) { // Boucle sur les colonnes de B
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| 370 | sum = 0;
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| 371 | pea = &((*this)(r,0)); // 1er element de la ligne r de A
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| 372 | peb = &(b(0,c)); // 1er element de la colonne c de B
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| 373 | for(k=0; k<NCols(); k++) sum += pea[k*stepa]*peb[k*stepb];
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| 374 | rm(r,c) = sum;
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| 375 | }
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| 376 |
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| 377 | rm.SetTemp(true);
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| 378 | return rm;
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| 379 | }
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| 380 |
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[762] | 381 | ///////////////////////////////////////////////////////////////
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| 382 | #ifdef __CXX_PRAGMA_TEMPLATES__
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| 383 | #pragma define_template TMatrix<uint_2>
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| 384 | #pragma define_template TMatrix<int_4>
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| 385 | #pragma define_template TMatrix<int_8>
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| 386 | #pragma define_template TMatrix<r_4>
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[804] | 387 | #pragma define_template TMatrix<r_8>
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[762] | 388 | #pragma define_template TMatrix< complex<r_4> >
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| 389 | #pragma define_template TMatrix< complex<r_8> >
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| 390 | #endif
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| 391 |
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| 392 | #if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
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| 393 | template class TMatrix<uint_2>;
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| 394 | template class TMatrix<int_4>;
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| 395 | template class TMatrix<int_8>;
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| 396 | template class TMatrix<r_4>;
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| 397 | template class TMatrix<r_8>;
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| 398 | template class TMatrix< complex<r_4> >;
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| 399 | template class TMatrix< complex<r_8> >;
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| 400 | #endif
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