source: Sophya/trunk/SophyaLib/TArray/tmatrix.cc@ 1096

Last change on this file since 1096 was 1081, checked in by ansari, 25 years ago

Adaptation modifs MuTyV et services de copie entre tableaux de type different - Reza 24/7/2000

File size: 10.4 KB
Line 
1// $Id: tmatrix.cc,v 1.13 2000-07-24 12:51:27 ansari Exp $
2// C.Magneville 04/99
3#include "machdefs.h"
4#include <stdio.h>
5#include <stdlib.h>
6#include "pexceptions.h"
7#include "tmatrix.h"
8
9/*!
10 \class SOPHYA::TMatrix
11 \ingroup TArray
12 Class of matrixes
13 \sa TArray
14 */
15
16////////////////////////////////////////////////////////////////
17//**** Createur, Destructeur
18//! Default constructor
19template <class T>
20TMatrix<T>::TMatrix()
21// Constructeur par defaut.
22 : TArray<T>()
23{
24 ck_memo_vt_ = true;
25}
26
27//! constructor of a matrix with r lines et c columns.
28/*!
29 \param r : number of rows
30 \param c : number of columns
31 \param mm : define the memory mapping type
32 \sa ReSize
33 */
34template <class T>
35TMatrix<T>::TMatrix(uint_4 r,uint_4 c, short mm)
36// Construit une matrice de r lignes et c colonnes.
37 : TArray<T>()
38{
39 if ( (r == 0) || (c == 0) )
40 throw ParmError("TMatrix<T>::TMatrix(uint_4 r,uint_4 c) NRows or NCols = 0");
41 ReSize(r, c, mm);
42}
43
44//! Constructor by copy
45/*!
46 \warning datas are \b SHARED with \b a.
47 \sa NDataBlock::NDataBlock(const NDataBlock<T>&)
48*/
49template <class T>
50TMatrix<T>::TMatrix(const TMatrix<T>& a)
51// Constructeur par copie
52 : TArray<T>(a)
53{
54}
55
56//! Constructor by copy
57/*!
58 \param share : if true, share data. If false copy data
59 */
60template <class T>
61TMatrix<T>::TMatrix(const TMatrix<T>& a, bool share)
62// Constructeur par copie avec possibilite de forcer le partage ou non.
63: TArray<T>(a, share)
64{
65}
66
67//! Constructor of a matrix from a TArray \b a
68template <class T>
69TMatrix<T>::TMatrix(const TArray<T>& a)
70: TArray<T>(a)
71{
72 if (a.NbDimensions() > 2)
73 throw SzMismatchError("TMatrix<T>::TMatrix(const TArray<T>& a) a.NbDimensions()>2 ");
74 if (a.NbDimensions() == 1) {
75 size_[1] = 1;
76 step_[1] = size_[0]*step_[0];
77 ndim_ = 2;
78 }
79 UpdateMemoryMapping(a, SameMemoryMapping);
80}
81
82//! Constructor of a matrix from a TArray \b a
83/*!
84 \param a : TArray to be copied or shared
85 \param share : if true, share data. If false copy data
86 \param mm : define the memory mapping type
87 */
88template <class T>
89TMatrix<T>::TMatrix(const TArray<T>& a, bool share, short mm )
90: TArray<T>(a, share)
91{
92 if (a.NbDimensions() > 2)
93 throw SzMismatchError("TMatrix<T>::TMatrix(const TArray<T>& a, ...) a.NbDimensions()>2");
94 if (a.NbDimensions() == 1) {
95 size_[1] = 1;
96 step_[1] = size_[0]*step_[0];
97 ndim_ = 2;
98 }
99 UpdateMemoryMapping(a, mm);
100}
101
102template <class T>
103TMatrix<T>::TMatrix(const BaseArray& a)
104: TArray<T>()
105{
106 SetBA(a);
107}
108
109
110
111//! Destructor
112template <class T>
113TMatrix<T>::~TMatrix()
114{
115}
116
117//! Set matrix equal to \b a and return *this
118/*!
119 \warning Datas are copied (cloned) from \b a.
120 \sa NDataBlock::operator=(const NDataBlock<T>&)
121*/
122template <class T>
123TArray<T>& TMatrix<T>::Set(const TArray<T>& a)
124{
125 if (a.NbDimensions() > 2)
126 throw SzMismatchError("TMatrix<T>::Set(const TArray<T>& a) a.NbDimensions() > 2");
127 TArray<T>::Set(a);
128 if (NbDimensions() == 1) {
129 size_[1] = 1;
130 step_[1] = size_[0]*step_[0];
131 ndim_ = 2;
132 }
133 UpdateMemoryMapping(*this, SameMemoryMapping);
134 return(*this);
135}
136
137template <class T>
138TArray<T>& TMatrix<T>::SetBA(const BaseArray& a)
139{
140 if (a.NbDimensions() > 2)
141 throw SzMismatchError("TMatrix<T>::SetBA(const BaseArray& a) a.NbDimensions() > 2");
142 TArray<T>::SetBA(a);
143 if (NbDimensions() == 1) {
144 size_[1] = 1;
145 step_[1] = size_[0]*step_[0];
146 ndim_ = 2;
147 }
148 UpdateMemoryMapping(*this, SameMemoryMapping);
149 return(*this);
150}
151
152
153
154//! Resize the matrix
155/*!
156 \param r : number of rows
157 \param c : number of columns
158 \param mm : define the memory mapping type
159 (SameMemoryMapping,CMemoryMapping
160 ,FortranMemoryMapping,DefaultMemoryMapping)
161 */
162template <class T>
163void TMatrix<T>::ReSize(uint_4 r, uint_4 c, short mm)
164{
165 if(r==0||c==0)
166 throw(SzMismatchError("TMatrix::ReSize r or c==0 "));
167 uint_4 size[BASEARRAY_MAXNDIMS];
168 for(int kk=0; kk<BASEARRAY_MAXNDIMS; kk++) size[kk] = 0;
169 if (mm == SameMemoryMapping) mm = GetMemoryMapping();
170 else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
171 mm = GetDefaultMemoryMapping();
172 if (mm == CMemoryMapping) {
173 size[0] = c; size[1] = r;
174 }
175 else {
176 size[0] = r; size[1] = c;
177 }
178 TArray<T>::ReSize(2, size, 1);
179 UpdateMemoryMapping(mm);
180}
181
182//! Re-allocate space for the matrix
183/*!
184 \param r : number of rows
185 \param c : number of columns
186 \param mm : define the memory mapping type
187 \param force : if true re-allocation is forced, if not it occurs
188 only if the required space is greater than the old one.
189 \sa ReSize
190 */
191template <class T>
192void TMatrix<T>::Realloc(uint_4 r,uint_4 c, short mm, bool force)
193{
194 if(r==0||c==0)
195 throw(SzMismatchError("TMatrix::Realloc r or c==0 "));
196 uint_4 size[BASEARRAY_MAXNDIMS];
197 for(int kk=0; kk<BASEARRAY_MAXNDIMS; kk++) size[kk] = 0;
198 if (mm == SameMemoryMapping) mm = GetMemoryMapping();
199 else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
200 mm = GetDefaultMemoryMapping();
201 if (mm == CMemoryMapping) {
202 size[0] = c; size[1] = r;
203 }
204 else {
205 size[0] = r; size[1] = c;
206 }
207 TArray<T>::Realloc(2, size, 1, force);
208 UpdateMemoryMapping(mm);
209}
210
211// $CHECK$ Reza 03/2000 Doit-on declarer cette methode const ?
212//! Return a submatrix define by \b Range \b rline and \b rcol
213template <class T>
214TMatrix<T> TMatrix<T>::SubMatrix(Range rline, Range rcol) const
215{
216 short mm = GetMemoryMapping();
217 Range rx, ry;
218 if (mm == CMemoryMapping) { rx = rcol; ry = rline; }
219 else { ry = rcol; rx = rline; }
220 TMatrix sm(SubArray(rx, ry, Range(0), Range(0), Range(0)),true, mm);
221 sm.UpdateMemoryMapping(mm);
222 sm.SetTemp(true);
223 return(sm);
224}
225
226////////////////////////////////////////////////////////////////
227// Transposition
228//! Transpose matrix in place
229template <class T>
230TMatrix<T>& TMatrix<T>::Transpose()
231{
232 short vt = (marowi_ == veceli_) ? ColumnVector : RowVector;
233 uint_4 rci = macoli_;
234 macoli_ = marowi_;
235 marowi_ = rci;
236 veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
237 return(*this);
238}
239
240
241//! Transpose matrix into new matrix
242/*!
243 \param mm : define the memory mapping type
244 (SameMemoryMapping,CMemoryMapping,FortranMemoryMapping)
245 \return return a new matrix
246 */
247template <class T>
248TMatrix<T> TMatrix<T>::Transpose(short mm)
249{
250 if (mm == SameMemoryMapping) mm = GetMemoryMapping();
251 TMatrix<T> tm(NCols(), NRows(), mm);
252 for(uint_4 i=0; i<NRows(); i++)
253 for(uint_4 j=0; j<NCols(); j++)
254 tm(j,i) = (*this)(i,j);
255 tm.SetTemp(true);
256 return tm;
257}
258
259//! Rearrange data in memory memoire according to \b mm
260/*!
261 \param mm : define the memory mapping type
262 (SameMemoryMapping,CMemoryMapping,FortranMemoryMapping)
263 \warning If identical, return a matrix that share the datas
264 */
265template <class T>
266TMatrix<T> TMatrix<T>::Rearrange(short mm)
267{
268 if ( mm == SameMemoryMapping) mm = GetMemoryMapping();
269 else if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) )
270 mm = GetDefaultMemoryMapping();
271
272 if (mm == GetMemoryMapping())
273 return (TMatrix<T>(*this, true));
274
275 TMatrix<T> tm(NRows(), NCols(), mm);
276 for(uint_4 i=0; i<NRows(); i++)
277 for(uint_4 j=0; j<NCols(); j++)
278 tm(i,j) = (*this)(i,j);
279 tm.SetTemp(true);
280 return tm;
281}
282
283//! Set the matrix to the identity matrix \b imx
284template <class T>
285TMatrix<T>& TMatrix<T>::SetIdentity(IdentityMatrix imx)
286{
287 if (ndim_ == 0) {
288 uint_4 sz = imx.Size();
289 if (sz < 1) sz = 1;
290 ReSize(sz, sz);
291 }
292 T diag = (T)imx.Diag();
293 if (NRows() != NCols())
294 throw SzMismatchError("TMatrix::operator= (IdentityMatrix) NRows() != NCols()") ;
295 *this = (T) 0;
296 for(uint_4 i=0; i<NRows(); i++) (*this)(i,i) = diag;
297
298 return (*this);
299}
300
301
302
303////////////////////////////////////////////////////////////////
304//**** Impression
305//! Return info on number of rows, column and type \b T
306template <class T>
307string TMatrix<T>::InfoString() const
308{
309 string rs = "TMatrix<";
310 rs += typeid(T).name();
311 char buff[64];
312 sprintf(buff, ">(NRows=%ld, NCols=%ld)", (long)NRows(), (long)NCols());
313 rs += buff;
314 return(rs);
315}
316
317//! Print matrix
318/*!
319 \param maxprt : maximum numer of print
320 \param si : if true, display attached DvList
321 \sa SetMaxPrint
322 */
323template <class T>
324void TMatrix<T>::Print(ostream& os, int_4 maxprt, bool si) const
325{
326 if (maxprt < 0) maxprt = max_nprt_;
327 uint_4 npr = 0;
328 Show(os, si);
329 if (ndim_ < 1) return;
330 uint_4 kc,kr;
331 for(kr=0; kr<size_[marowi_]; kr++) {
332 if ( (size_[marowi_] > 1) && (size_[macoli_] > 10) ) cout << "----- Ligne Line= " << kr << endl;
333 for(kc=0; kc<size_[macoli_]; kc++) {
334 if(kc > 0) os << ", ";
335 os << (*this)(kr, kc); npr++;
336 if (npr >= (uint_4) maxprt) {
337 if (npr < totsize_) os << "\n .... " << endl; return;
338 }
339 }
340 os << endl;
341 }
342 os << endl;
343}
344
345////////////////////////////////////////////////////////////////
346//**** Multiplication matricielle *****
347////////////////////////////////////////////////////////////////
348
349//! Return the matrix product C = (*this)*B
350/*!
351 \param mm : define the memory mapping type for the return matrix
352 */
353template <class T>
354TMatrix<T> TMatrix<T>::Multiply(const TMatrix<T>& b, short mm) const
355{
356 if (NCols() != b.NRows())
357 throw(SzMismatchError("TMatrix<T>::Multiply(b) NCols() != b.NRows() ") );
358 if (mm == SameMemoryMapping) mm = GetMemoryMapping();
359 TMatrix<T> rm(NRows(), b.NCols(), mm);
360
361 const T * pea;
362 const T * peb;
363 T sum;
364 uint_4 r,c,k;
365 uint_4 stepa = Step(ColsKA());
366 uint_4 stepb = b.Step(RowsKA());
367 // Calcul de C=rm = A*B (A=*this)
368 for(r=0; r<rm.NRows(); r++) // Boucle sur les lignes de A
369 for(c=0; c<rm.NCols(); c++) { // Boucle sur les colonnes de B
370 sum = 0;
371 pea = &((*this)(r,0)); // 1er element de la ligne r de A
372 peb = &(b(0,c)); // 1er element de la colonne c de B
373 for(k=0; k<NCols(); k++) sum += pea[k*stepa]*peb[k*stepb];
374 rm(r,c) = sum;
375 }
376
377 rm.SetTemp(true);
378 return rm;
379}
380
381///////////////////////////////////////////////////////////////
382#ifdef __CXX_PRAGMA_TEMPLATES__
383#pragma define_template TMatrix<uint_2>
384#pragma define_template TMatrix<int_4>
385#pragma define_template TMatrix<int_8>
386#pragma define_template TMatrix<r_4>
387#pragma define_template TMatrix<r_8>
388#pragma define_template TMatrix< complex<r_4> >
389#pragma define_template TMatrix< complex<r_8> >
390#endif
391
392#if defined(ANSI_TEMPLATES) || defined(GNU_TEMPLATES)
393template class TMatrix<uint_2>;
394template class TMatrix<int_4>;
395template class TMatrix<int_8>;
396template class TMatrix<r_4>;
397template class TMatrix<r_8>;
398template class TMatrix< complex<r_4> >;
399template class TMatrix< complex<r_8> >;
400#endif
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