source: ntrip/trunk/BNC/newmat/bandmat.cpp@ 10285

Last change on this file since 10285 was 9434, checked in by stuerze, 3 years ago

newmat is reverted to its stable version 10 because version 11beta was not working with mac compilers

File size: 19.0 KB
Line 
1/// \ingroup newmat
2///@{
3
4/// \file bandmat.cpp
5/// Band-matrix member functions.
6
7
8// Copyright (C) 1991,2,3,4,9: R B Davies
9
10#define WANT_MATH // include.h will get math fns
11
12//#define WANT_STREAM
13
14#include "include.h"
15
16#include "newmat.h"
17#include "newmatrc.h"
18
19#ifdef use_namespace
20namespace NEWMAT {
21#endif
22
23
24
25#ifdef DO_REPORT
26#define REPORT { static ExeCounter ExeCount(__LINE__,10); ++ExeCount; }
27#else
28#define REPORT {}
29#endif
30
31static inline int my_min(int x, int y) { return x < y ? x : y; }
32static inline int my_max(int x, int y) { return x > y ? x : y; }
33
34
35BandMatrix::BandMatrix(const BaseMatrix& M)
36{
37 REPORT // CheckConversion(M);
38 // MatrixConversionCheck mcc;
39 GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::BM);
40 GetMatrix(gmx); CornerClear();
41}
42
43void BandMatrix::SetParameters(const GeneralMatrix* gmx)
44{
45 REPORT
46 MatrixBandWidth bw = gmx->bandwidth();
47 lower_val = bw.lower_val; upper_val = bw.upper_val;
48}
49
50void BandMatrix::resize(int n, int lb, int ub)
51{
52 REPORT
53 Tracer tr("BandMatrix::resize");
54 if (lb<0 || ub<0) Throw(ProgramException("Undefined bandwidth"));
55 lower_val = (lb<=n) ? lb : n-1; upper_val = (ub<=n) ? ub : n-1;
56 GeneralMatrix::resize(n,n,n*(lower_val+1+upper_val)); CornerClear();
57}
58
59// SimpleAddOK shows when we can add etc two matrices by a simple vector add
60// and when we can add one matrix into another
61//
62// *gm must be the same type as *this
63// - return 0 if simple add is OK
64// - return 1 if we can add into *gm only
65// - return 2 if we can add into *this only
66// - return 3 if we can't add either way
67//
68// For SP this will still be valid if we swap 1 and 2
69
70/// \brief can we add two band matrices with simple vector add
71///
72/// For band matrices the bandwidths must agree
73
74short BandMatrix::SimpleAddOK(const GeneralMatrix* gm)
75{
76 const BandMatrix* bm = (const BandMatrix*)gm;
77 if (bm->lower_val == lower_val && bm->upper_val == upper_val)
78 { REPORT return 0; }
79 else if (bm->lower_val >= lower_val && bm->upper_val >= upper_val)
80 { REPORT return 1; }
81 else if (bm->lower_val <= lower_val && bm->upper_val <= upper_val)
82 { REPORT return 2; }
83 else { REPORT return 3; }
84}
85
86/// \brief can we add two symmetric band matrices with simple vector add
87///
88/// Sufficient to check lower bandwidths agree
89
90short SymmetricBandMatrix::SimpleAddOK(const GeneralMatrix* gm)
91{
92 const SymmetricBandMatrix* bm = (const SymmetricBandMatrix*)gm;
93 if (bm->lower_val == lower_val) { REPORT return 0; }
94 else if (bm->lower_val > lower_val) { REPORT return 1; }
95 else { REPORT return 2; }
96}
97
98/// \brief resize UpperBandMatrix
99void UpperBandMatrix::resize(int n, int lb, int ub)
100{
101 REPORT
102 if (lb != 0)
103 {
104 Tracer tr("UpperBandMatrix::resize");
105 Throw(ProgramException("UpperBandMatrix with non-zero lower band" ));
106 }
107 BandMatrix::resize(n, lb, ub);
108}
109
110/// \brief resize LowerBandMatrix
111void LowerBandMatrix::resize(int n, int lb, int ub)
112{
113 REPORT
114 if (ub != 0)
115 {
116 Tracer tr("LowerBandMatrix::resize");
117 Throw(ProgramException("LowerBandMatrix with non-zero upper band" ));
118 }
119 BandMatrix::resize(n, lb, ub);
120}
121
122/// \brief resize BandMatrix
123void BandMatrix::resize(const GeneralMatrix& A)
124{
125 REPORT
126 int n = A.Nrows();
127 if (n != A.Ncols())
128 {
129 Tracer tr("BandMatrix::resize(GM)");
130 Throw(NotSquareException(*this));
131 }
132 MatrixBandWidth mbw = A.bandwidth();
133 resize(n, mbw.Lower(), mbw.Upper());
134}
135
136/*
137bool BandMatrix::SameStorageType(const GeneralMatrix& A) const
138{
139 if (type() != A.type()) { REPORT return false; }
140 REPORT
141 return bandwidth() == A.bandwidth();
142}
143
144void BandMatrix::resizeForAdd(const GeneralMatrix& A, const GeneralMatrix& B)
145{
146 REPORT
147 Tracer tr("BandMatrix::resizeForAdd");
148 MatrixBandWidth A_BW = A.bandwidth(); MatrixBandWidth B_BW = B.bandwidth();
149 if ((A_BW.Lower() < 0) | (A_BW.Upper() < 0) | (B_BW.Lower() < 0)
150 | (A_BW.Upper() < 0))
151 Throw(ProgramException("Can't resize to BandMatrix" ));
152 // already know A and B are square
153 resize(A.Nrows(), my_max(A_BW.Lower(), B_BW.Lower()),
154 my_max(A_BW.Upper(), B_BW.Upper()));
155}
156
157void BandMatrix::resizeForSP(const GeneralMatrix& A, const GeneralMatrix& B)
158{
159 REPORT
160 Tracer tr("BandMatrix::resizeForSP");
161 MatrixBandWidth A_BW = A.bandwidth(); MatrixBandWidth B_BW = B.bandwidth();
162 if ((A_BW.Lower() < 0) | (A_BW.Upper() < 0) | (B_BW.Lower() < 0)
163 | (A_BW.Upper() < 0))
164 Throw(ProgramException("Can't resize to BandMatrix" ));
165 // already know A and B are square
166 resize(A.Nrows(), my_min(A_BW.Lower(), B_BW.Lower()),
167 my_min(A_BW.Upper(), B_BW.Upper()));
168}
169*/
170
171/// \brief assignment operator for BandMatrix
172void BandMatrix::operator=(const BaseMatrix& X)
173{
174 REPORT // CheckConversion(X);
175 // MatrixConversionCheck mcc;
176 Eq(X,MatrixType::BM); CornerClear();
177}
178
179/// \brief set unused parts of BandMatrix to zero
180void BandMatrix::CornerClear() const
181{
182 REPORT
183 int i = lower_val; Real* s = store; int bw = lower_val + 1 + upper_val;
184 while (i)
185 { int j = i--; Real* sj = s; s += bw; while (j--) *sj++ = 0.0; }
186 i = upper_val; s = store + storage;
187 while (i)
188 { int j = i--; Real* sj = s; s -= bw; while (j--) *(--sj) = 0.0; }
189}
190
191MatrixBandWidth MatrixBandWidth::operator+(const MatrixBandWidth& bw) const
192{
193 REPORT
194 int l = bw.lower_val; int u = bw.upper_val;
195 l = (lower_val < 0 || l < 0) ? -1 : (lower_val > l) ? lower_val : l;
196 u = (upper_val < 0 || u < 0) ? -1 : (upper_val > u) ? upper_val : u;
197 return MatrixBandWidth(l,u);
198}
199
200MatrixBandWidth MatrixBandWidth::operator*(const MatrixBandWidth& bw) const
201{
202 REPORT
203 int l = bw.lower_val; int u = bw.upper_val;
204 l = (lower_val < 0 || l < 0) ? -1 : lower_val+l;
205 u = (upper_val < 0 || u < 0) ? -1 : upper_val+u;
206 return MatrixBandWidth(l,u);
207}
208
209MatrixBandWidth MatrixBandWidth::minimum(const MatrixBandWidth& bw) const
210{
211 REPORT
212 int l = bw.lower_val; int u = bw.upper_val;
213 if ((lower_val >= 0) && ( (l < 0) || (l > lower_val) )) l = lower_val;
214 if ((upper_val >= 0) && ( (u < 0) || (u > upper_val) )) u = upper_val;
215 return MatrixBandWidth(l,u);
216}
217
218UpperBandMatrix::UpperBandMatrix(const BaseMatrix& M)
219{
220 REPORT // CheckConversion(M);
221 // MatrixConversionCheck mcc;
222 GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::UB);
223 GetMatrix(gmx); CornerClear();
224}
225
226void UpperBandMatrix::operator=(const BaseMatrix& X)
227{
228 REPORT // CheckConversion(X);
229 // MatrixConversionCheck mcc;
230 Eq(X,MatrixType::UB); CornerClear();
231}
232
233LowerBandMatrix::LowerBandMatrix(const BaseMatrix& M)
234{
235 REPORT // CheckConversion(M);
236 // MatrixConversionCheck mcc;
237 GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::LB);
238 GetMatrix(gmx); CornerClear();
239}
240
241void LowerBandMatrix::operator=(const BaseMatrix& X)
242{
243 REPORT // CheckConversion(X);
244 // MatrixConversionCheck mcc;
245 Eq(X,MatrixType::LB); CornerClear();
246}
247
248BandLUMatrix::BandLUMatrix(const BaseMatrix& m)
249{
250 REPORT
251 Tracer tr("BandLUMatrix");
252 storage2 = 0; store2 = 0; indx = 0; // in event of exception during build
253 GeneralMatrix* gm = ((BaseMatrix&)m).Evaluate();
254 if (gm->nrows() != gm->ncols())
255 { gm->tDelete(); Throw(NotSquareException(*this)); }
256 if (gm->type() == MatrixType::BC)
257 { REPORT ((BandLUMatrix*)gm)->get_aux(*this); GetMatrix(gm); }
258 else
259 {
260 REPORT
261 BandMatrix* gm1 = (BandMatrix*)(gm->Evaluate(MatrixType::BM));
262 m1 = gm1->lower_val; m2 = gm1->upper_val;
263 GetMatrix(gm1);
264 d = true; sing = false;
265 indx = new int [nrows_val]; MatrixErrorNoSpace(indx);
266 MONITOR_INT_NEW("Index (BndLUMat)",nrows_val,indx)
267 storage2 = nrows_val * m1;
268 store2 = new Real [storage2]; MatrixErrorNoSpace(store2);
269 MONITOR_REAL_NEW("Make (BandLUMat)",storage2,store2)
270 ludcmp();
271 }
272}
273
274GeneralMatrix* BandLUMatrix::Evaluate(MatrixType mt)
275{
276 if (Compare(this->Type(),mt)) { REPORT return this; }
277 REPORT
278 Tracer et("BandLUMatrix::Evaluate");
279 bool dummy = true;
280 if (dummy) Throw(ProgramException("Illegal use of BandLUMatrix", *this));
281 return this;
282}
283
284// could we use SetParameters instead of this
285void BandLUMatrix::get_aux(BandLUMatrix& X)
286{
287 X.d = d; X.sing = sing; X.storage2 = storage2; X.m1 = m1; X.m2 = m2;
288 if (tag_val == 0 || tag_val == 1) // reuse the array
289 {
290 REPORT
291 X.indx = indx; indx = 0;
292 X.store2 = store2; store2 = 0;
293 d = true; sing = true; storage2 = 0; m1 = 0; m2 = 0;
294 return;
295 }
296 else if (nrows_val == 0)
297 {
298 REPORT
299 indx = 0; store2 = 0; storage2 = 0;
300 d = true; sing = true; m1 = m2 = 0;
301 return;
302 }
303 else // copy the array
304 {
305 REPORT
306 Tracer tr("BandLUMatrix::get_aux");
307 int *ix = new int [nrows_val]; MatrixErrorNoSpace(ix);
308 MONITOR_INT_NEW("Index (BLUM::get_aux)", nrows_val, ix)
309 int n = nrows_val; int* i = ix; int* j = indx;
310 while(n--) *i++ = *j++;
311 X.indx = ix;
312 Real *rx = new Real [storage2]; MatrixErrorNoSpace(indx);
313 MONITOR_REAL_NEW("Index (BLUM::get_aux)", storage2, rx)
314 newmat_block_copy(storage2, store2, rx);
315 X.store2 = rx;
316 }
317}
318
319BandLUMatrix::BandLUMatrix(const BandLUMatrix& gm) : GeneralMatrix()
320{
321 REPORT
322 Tracer tr("BandLUMatrix(const BandLUMatrix&)");
323 ((BandLUMatrix&)gm).get_aux(*this);
324 GetMatrix(&gm);
325}
326
327void BandLUMatrix::operator=(const BandLUMatrix& gm)
328{
329 if (&gm == this) { REPORT tag_val = -1; return; }
330 REPORT
331 delete [] indx; indx = 0;
332 delete [] store2; store2 = 0; storage2 = 0;
333 ((BandLUMatrix&)gm).get_aux(*this);
334 Eq(gm);
335}
336
337
338
339
340
341
342
343
344BandLUMatrix::~BandLUMatrix()
345{
346 REPORT
347 MONITOR_INT_DELETE("Index (BndLUMat)",nrows_val,indx)
348 MONITOR_REAL_DELETE("Delete (BndLUMt)",storage2,store2)
349 delete [] indx; delete [] store2;
350}
351
352MatrixType BandLUMatrix::type() const { REPORT return MatrixType::BC; }
353
354
355LogAndSign BandLUMatrix::log_determinant() const
356{
357 REPORT
358 if (sing) return 0.0;
359 Real* a = store; int w = m1+1+m2; LogAndSign sum; int i = nrows_val;
360 // while (i--) { sum *= *a; a += w; }
361 if (i) for (;;) { sum *= *a; if (!(--i)) break; a += w; }
362 if (!d) sum.ChangeSign(); return sum;
363}
364
365GeneralMatrix* BandMatrix::MakeSolver()
366{
367 REPORT
368 GeneralMatrix* gm = new BandLUMatrix(*this);
369 MatrixErrorNoSpace(gm); gm->ReleaseAndDelete(); return gm;
370}
371
372
373void BandLUMatrix::ludcmp()
374{
375 REPORT
376 Real* a = store2; int i = storage2;
377 // clear store2 - so unused locations are always zero -
378 // required by operator==
379 while (i--) *a++ = 0.0;
380 a = store;
381 i = m1; int j = m2; int k; int n = nrows_val; int w = m1 + 1 + m2;
382 while (i)
383 {
384 Real* ai = a + i;
385 k = ++j; while (k--) *a++ = *ai++;
386 k = i--; while (k--) *a++ = 0.0;
387 }
388
389 a = store; int l = m1;
390 for (k=0; k<n; k++)
391 {
392 Real x = *a; i = k; Real* aj = a;
393 if (l < n) l++;
394 for (j=k+1; j<l; j++)
395 { aj += w; if (fabs(x) < fabs(*aj)) { x = *aj; i = j; } }
396 indx[k] = i;
397 if (x==0) { sing = true; return; }
398 if (i!=k)
399 {
400 d = !d; Real* ak = a; Real* ai = store + i * w; j = w;
401 while (j--) { x = *ak; *ak++ = *ai; *ai++ = x; }
402 }
403 aj = a + w; Real* m = store2 + m1 * k;
404 for (j=k+1; j<l; j++)
405 {
406 *m++ = x = *aj / *a; i = w; Real* ak = a;
407 while (--i) { Real* aj1 = aj++; *aj1 = *aj - x * *(++ak); }
408 *aj++ = 0.0;
409 }
410 a += w;
411 }
412}
413
414void BandLUMatrix::lubksb(Real* B, int mini)
415{
416 REPORT
417 Tracer tr("BandLUMatrix::lubksb");
418 if (sing) Throw(SingularException(*this));
419 int n = nrows_val; int l = m1; int w = m1 + 1 + m2;
420
421 for (int k=0; k<n; k++)
422 {
423 int i = indx[k];
424 if (i!=k) { Real x=B[k]; B[k]=B[i]; B[i]=x; }
425 if (l<n) l++;
426 Real* m = store2 + k*m1; Real* b = B+k; Real* bi = b;
427 for (i=k+1; i<l; i++) *(++bi) -= *m++ * *b;
428 }
429
430 l = -m1;
431 for (int i = n-1; i>=mini; i--)
432 {
433 Real* b = B + i; Real* bk = b; Real x = *bk;
434 Real* a = store + w*i; Real y = *a;
435 int k = l+m1; while (k--) x -= *(++a) * *(++bk);
436 *b = x / y;
437 if (l < m2) l++;
438 }
439}
440
441void BandLUMatrix::Solver(MatrixColX& mcout, const MatrixColX& mcin)
442{
443 REPORT
444 int i = mcin.skip; Real* el = mcin.data-i; Real* el1=el;
445 while (i--) *el++ = 0.0;
446 el += mcin.storage; i = nrows_val - mcin.skip - mcin.storage;
447 while (i--) *el++ = 0.0;
448 lubksb(el1, mcout.skip);
449}
450
451// Do we need check for entirely zero output?
452
453
454void UpperBandMatrix::Solver(MatrixColX& mcout,
455 const MatrixColX& mcin)
456{
457 REPORT
458 int i = mcin.skip-mcout.skip; Real* elx = mcin.data-i;
459 while (i-- > 0) *elx++ = 0.0;
460 int nr = mcin.skip+mcin.storage;
461 elx = mcin.data+mcin.storage; Real* el = elx;
462 int j = mcout.skip+mcout.storage-nr; i = nr-mcout.skip;
463 while (j-- > 0) *elx++ = 0.0;
464
465 Real* Ael = store + (upper_val+1)*(i-1)+1; j = 0;
466 if (i > 0) for(;;)
467 {
468 elx = el; Real sum = 0.0; int jx = j;
469 while (jx--) sum += *(--Ael) * *(--elx);
470 elx--; *elx = (*elx - sum) / *(--Ael);
471 if (--i <= 0) break;
472 if (j<upper_val) Ael -= upper_val - (++j); else el--;
473 }
474}
475
476void LowerBandMatrix::Solver(MatrixColX& mcout,
477 const MatrixColX& mcin)
478{
479 REPORT
480 int i = mcin.skip-mcout.skip; Real* elx = mcin.data-i;
481 while (i-- > 0) *elx++ = 0.0;
482 int nc = mcin.skip; i = nc+mcin.storage; elx = mcin.data+mcin.storage;
483 int nr = mcout.skip+mcout.storage; int j = nr-i; i = nr-nc;
484 while (j-- > 0) *elx++ = 0.0;
485
486 Real* el = mcin.data;
487 Real* Ael = store + (lower_val+1)*nc + lower_val;
488 j = 0;
489 if (i > 0) for(;;)
490 {
491 elx = el; Real sum = 0.0; int jx = j;
492 while (jx--) sum += *Ael++ * *elx++;
493 *elx = (*elx - sum) / *Ael++;
494 if (--i <= 0) break;
495 if (j<lower_val) Ael += lower_val - (++j); else el++;
496 }
497}
498
499
500LogAndSign BandMatrix::log_determinant() const
501{
502 REPORT
503 BandLUMatrix C(*this); return C.log_determinant();
504}
505
506LogAndSign LowerBandMatrix::log_determinant() const
507{
508 REPORT
509 int i = nrows_val; LogAndSign sum;
510 Real* s = store + lower_val; int j = lower_val + 1;
511// while (i--) { sum *= *s; s += j; }
512 if (i) for (;;) { sum *= *s; if (!(--i)) break; s += j; }
513 ((GeneralMatrix&)*this).tDelete(); return sum;
514}
515
516LogAndSign UpperBandMatrix::log_determinant() const
517{
518 REPORT
519 int i = nrows_val; LogAndSign sum; Real* s = store; int j = upper_val + 1;
520// while (i--) { sum *= *s; s += j; }
521 if (i) for (;;) { sum *= *s; if (!(--i)) break; s += j; }
522 ((GeneralMatrix&)*this).tDelete(); return sum;
523}
524
525GeneralMatrix* SymmetricBandMatrix::MakeSolver()
526{
527 REPORT
528 GeneralMatrix* gm = new BandLUMatrix(*this);
529 MatrixErrorNoSpace(gm); gm->ReleaseAndDelete(); return gm;
530}
531
532SymmetricBandMatrix::SymmetricBandMatrix(const BaseMatrix& M)
533{
534 REPORT // CheckConversion(M);
535 // MatrixConversionCheck mcc;
536 GeneralMatrix* gmx=((BaseMatrix&)M).Evaluate(MatrixType::SB);
537 GetMatrix(gmx);
538}
539
540GeneralMatrix* SymmetricBandMatrix::Transpose(TransposedMatrix*, MatrixType mt)
541{ REPORT return Evaluate(mt); }
542
543LogAndSign SymmetricBandMatrix::log_determinant() const
544{
545 REPORT
546 BandLUMatrix C(*this); return C.log_determinant();
547}
548
549void SymmetricBandMatrix::SetParameters(const GeneralMatrix* gmx)
550{ REPORT lower_val = gmx->bandwidth().lower_val; }
551
552void SymmetricBandMatrix::resize(int n, int lb)
553{
554 REPORT
555 Tracer tr("SymmetricBandMatrix::resize");
556 if (lb<0) Throw(ProgramException("Undefined bandwidth"));
557 lower_val = (lb<=n) ? lb : n-1;
558 GeneralMatrix::resize(n,n,n*(lower_val+1));
559}
560
561void SymmetricBandMatrix::resize(const GeneralMatrix& A)
562{
563 REPORT
564 int n = A.Nrows();
565 if (n != A.Ncols())
566 {
567 Tracer tr("SymmetricBandMatrix::resize(GM)");
568 Throw(NotSquareException(*this));
569 }
570 MatrixBandWidth mbw = A.bandwidth(); int b = mbw.Lower();
571 if (b != mbw.Upper())
572 {
573 Tracer tr("SymmetricBandMatrix::resize(GM)");
574 Throw(ProgramException("Upper and lower band-widths not equal"));
575 }
576 resize(n, b);
577}
578/*
579bool SymmetricBandMatrix::SameStorageType(const GeneralMatrix& A) const
580{
581 if (type() != A.type()) { REPORT return false; }
582 REPORT
583 return bandwidth() == A.bandwidth();
584}
585
586void SymmetricBandMatrix::resizeForAdd(const GeneralMatrix& A,
587 const GeneralMatrix& B)
588{
589 REPORT
590 Tracer tr("SymmetricBandMatrix::resizeForAdd");
591 MatrixBandWidth A_BW = A.bandwidth(); MatrixBandWidth B_BW = B.bandwidth();
592 if ((A_BW.Lower() < 0) | (B_BW.Lower() < 0))
593 Throw(ProgramException("Can't resize to SymmetricBandMatrix" ));
594 // already know A and B are square
595 resize(A.Nrows(), my_max(A_BW.Lower(), B_BW.Lower()));
596}
597
598void SymmetricBandMatrix::resizeForSP(const GeneralMatrix& A,
599 const GeneralMatrix& B)
600{
601 REPORT
602 Tracer tr("SymmetricBandMatrix::resizeForSP");
603 MatrixBandWidth A_BW = A.bandwidth(); MatrixBandWidth B_BW = B.bandwidth();
604 if ((A_BW.Lower() < 0) | (B_BW.Lower() < 0))
605 Throw(ProgramException("Can't resize to SymmetricBandMatrix" ));
606 // already know A and B are square
607 resize(A.Nrows(), my_min(A_BW.Lower(), B_BW.Lower()));
608}
609*/
610
611void SymmetricBandMatrix::operator=(const BaseMatrix& X)
612{
613 REPORT // CheckConversion(X);
614 // MatrixConversionCheck mcc;
615 Eq(X,MatrixType::SB);
616}
617
618void SymmetricBandMatrix::CornerClear() const
619{
620 // set unused parts of BandMatrix to zero
621 REPORT
622 int i = lower_val; Real* s = store; int bw = lower_val + 1;
623 if (i) for(;;)
624 {
625 int j = i;
626 Real* sj = s;
627 while (j--) *sj++ = 0.0;
628 if (!(--i)) break;
629 s += bw;
630 }
631}
632
633MatrixBandWidth SymmetricBandMatrix::bandwidth() const
634 { REPORT return MatrixBandWidth(lower_val,lower_val); }
635
636GeneralMatrix* BandMatrix::Image() const
637{
638 REPORT
639 GeneralMatrix* gm = new BandMatrix(*this); MatrixErrorNoSpace(gm);
640 return gm;
641}
642
643GeneralMatrix* UpperBandMatrix::Image() const
644{
645 REPORT
646 GeneralMatrix* gm = new UpperBandMatrix(*this); MatrixErrorNoSpace(gm);
647 return gm;
648}
649
650GeneralMatrix* LowerBandMatrix::Image() const
651{
652 REPORT
653 GeneralMatrix* gm = new LowerBandMatrix(*this); MatrixErrorNoSpace(gm);
654 return gm;
655}
656
657GeneralMatrix* SymmetricBandMatrix::Image() const
658{
659 REPORT
660 GeneralMatrix* gm = new SymmetricBandMatrix(*this); MatrixErrorNoSpace(gm);
661 return gm;
662}
663
664GeneralMatrix* BandLUMatrix::Image() const
665{
666 REPORT
667 GeneralMatrix* gm = new BandLUMatrix(*this); MatrixErrorNoSpace(gm);
668 return gm;
669}
670
671
672inline Real square(Real x) { return x*x; }
673
674Real SymmetricBandMatrix::sum_square() const
675{
676 REPORT
677 CornerClear();
678 Real sum1=0.0; Real sum2=0.0; Real* s=store; int i=nrows_val;
679 int l=lower_val;
680 while (i--)
681 { int j = l; while (j--) sum2 += square(*s++); sum1 += square(*s++); }
682 ((GeneralMatrix&)*this).tDelete(); return sum1 + 2.0 * sum2;
683}
684
685Real SymmetricBandMatrix::sum_absolute_value() const
686{
687 REPORT
688 CornerClear();
689 Real sum1=0.0; Real sum2=0.0; Real* s=store; int i=nrows_val;
690 int l=lower_val;
691 while (i--)
692 { int j = l; while (j--) sum2 += fabs(*s++); sum1 += fabs(*s++); }
693 ((GeneralMatrix&)*this).tDelete(); return sum1 + 2.0 * sum2;
694}
695
696Real SymmetricBandMatrix::sum() const
697{
698 REPORT
699 CornerClear();
700 Real sum1=0.0; Real sum2=0.0; Real* s=store; int i=nrows_val;
701 int l=lower_val;
702 while (i--)
703 { int j = l; while (j--) sum2 += *s++; sum1 += *s++; }
704 ((GeneralMatrix&)*this).tDelete(); return sum1 + 2.0 * sum2;
705}
706
707
708
709
710
711#ifdef use_namespace
712}
713#endif
714
715///@}
716
717
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