Actual source code: svdbasic.c

slepc-3.21.0 2024-03-30
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain

  6:    This file is part of SLEPc.
  7:    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
  8:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  9: */
 10: /*
 11:    Basic SVD routines
 12: */

 14: #include <slepc/private/svdimpl.h>

 16: /* Logging support */
 17: PetscClassId      SVD_CLASSID = 0;
 18: PetscLogEvent     SVD_SetUp = 0,SVD_Solve = 0;

 20: /* List of registered SVD routines */
 21: PetscFunctionList SVDList = NULL;
 22: PetscBool         SVDRegisterAllCalled = PETSC_FALSE;

 24: /* List of registered SVD monitors */
 25: PetscFunctionList SVDMonitorList              = NULL;
 26: PetscFunctionList SVDMonitorCreateList        = NULL;
 27: PetscFunctionList SVDMonitorDestroyList       = NULL;
 28: PetscBool         SVDMonitorRegisterAllCalled = PETSC_FALSE;

 30: /*@
 31:    SVDCreate - Creates the default SVD context.

 33:    Collective

 35:    Input Parameter:
 36: .  comm - MPI communicator

 38:    Output Parameter:
 39: .  outsvd - location to put the SVD context

 41:    Note:
 42:    The default SVD type is SVDCROSS

 44:    Level: beginner

 46: .seealso: SVDSetUp(), SVDSolve(), SVDDestroy(), SVD
 47: @*/
 48: PetscErrorCode SVDCreate(MPI_Comm comm,SVD *outsvd)
 49: {
 50:   SVD            svd;

 52:   PetscFunctionBegin;
 53:   PetscAssertPointer(outsvd,2);
 54:   *outsvd = NULL;
 55:   PetscCall(SVDInitializePackage());
 56:   PetscCall(SlepcHeaderCreate(svd,SVD_CLASSID,"SVD","Singular Value Decomposition","SVD",comm,SVDDestroy,SVDView));

 58:   svd->OP               = NULL;
 59:   svd->OPb              = NULL;
 60:   svd->omega            = NULL;
 61:   svd->max_it           = PETSC_DEFAULT;
 62:   svd->nsv              = 1;
 63:   svd->ncv              = PETSC_DEFAULT;
 64:   svd->mpd              = PETSC_DEFAULT;
 65:   svd->nini             = 0;
 66:   svd->ninil            = 0;
 67:   svd->tol              = PETSC_DEFAULT;
 68:   svd->conv             = (SVDConv)-1;
 69:   svd->stop             = SVD_STOP_BASIC;
 70:   svd->which            = SVD_LARGEST;
 71:   svd->problem_type     = (SVDProblemType)0;
 72:   svd->impltrans        = PETSC_FALSE;
 73:   svd->trackall         = PETSC_FALSE;

 75:   svd->converged        = NULL;
 76:   svd->convergeduser    = NULL;
 77:   svd->convergeddestroy = NULL;
 78:   svd->stopping         = SVDStoppingBasic;
 79:   svd->stoppinguser     = NULL;
 80:   svd->stoppingdestroy  = NULL;
 81:   svd->convergedctx     = NULL;
 82:   svd->stoppingctx      = NULL;
 83:   svd->numbermonitors   = 0;

 85:   svd->ds               = NULL;
 86:   svd->U                = NULL;
 87:   svd->V                = NULL;
 88:   svd->A                = NULL;
 89:   svd->B                = NULL;
 90:   svd->AT               = NULL;
 91:   svd->BT               = NULL;
 92:   svd->IS               = NULL;
 93:   svd->ISL              = NULL;
 94:   svd->sigma            = NULL;
 95:   svd->errest           = NULL;
 96:   svd->sign             = NULL;
 97:   svd->perm             = NULL;
 98:   svd->nworkl           = 0;
 99:   svd->nworkr           = 0;
100:   svd->workl            = NULL;
101:   svd->workr            = NULL;
102:   svd->data             = NULL;

104:   svd->state            = SVD_STATE_INITIAL;
105:   svd->nconv            = 0;
106:   svd->its              = 0;
107:   svd->leftbasis        = PETSC_FALSE;
108:   svd->swapped          = PETSC_FALSE;
109:   svd->expltrans        = PETSC_FALSE;
110:   svd->nrma             = 0.0;
111:   svd->nrmb             = 0.0;
112:   svd->isgeneralized    = PETSC_FALSE;
113:   svd->reason           = SVD_CONVERGED_ITERATING;

115:   PetscCall(PetscNew(&svd->sc));
116:   *outsvd = svd;
117:   PetscFunctionReturn(PETSC_SUCCESS);
118: }

120: /*@
121:    SVDReset - Resets the SVD context to the initial state (prior to setup)
122:    and destroys any allocated Vecs and Mats.

124:    Collective

126:    Input Parameter:
127: .  svd - singular value solver context obtained from SVDCreate()

129:    Level: advanced

131: .seealso: SVDDestroy()
132: @*/
133: PetscErrorCode SVDReset(SVD svd)
134: {
135:   PetscFunctionBegin;
137:   if (!svd) PetscFunctionReturn(PETSC_SUCCESS);
138:   PetscTryTypeMethod(svd,reset);
139:   PetscCall(MatDestroy(&svd->OP));
140:   PetscCall(MatDestroy(&svd->OPb));
141:   PetscCall(VecDestroy(&svd->omega));
142:   PetscCall(MatDestroy(&svd->A));
143:   PetscCall(MatDestroy(&svd->B));
144:   PetscCall(MatDestroy(&svd->AT));
145:   PetscCall(MatDestroy(&svd->BT));
146:   PetscCall(BVDestroy(&svd->U));
147:   PetscCall(BVDestroy(&svd->V));
148:   PetscCall(VecDestroyVecs(svd->nworkl,&svd->workl));
149:   svd->nworkl = 0;
150:   PetscCall(VecDestroyVecs(svd->nworkr,&svd->workr));
151:   svd->nworkr = 0;
152:   svd->swapped = PETSC_FALSE;
153:   svd->state = SVD_STATE_INITIAL;
154:   PetscFunctionReturn(PETSC_SUCCESS);
155: }

157: /*@C
158:    SVDDestroy - Destroys the SVD context.

160:    Collective

162:    Input Parameter:
163: .  svd - singular value solver context obtained from SVDCreate()

165:    Level: beginner

167: .seealso: SVDCreate(), SVDSetUp(), SVDSolve()
168: @*/
169: PetscErrorCode SVDDestroy(SVD *svd)
170: {
171:   PetscFunctionBegin;
172:   if (!*svd) PetscFunctionReturn(PETSC_SUCCESS);
174:   if (--((PetscObject)*svd)->refct > 0) { *svd = NULL; PetscFunctionReturn(PETSC_SUCCESS); }
175:   PetscCall(SVDReset(*svd));
176:   PetscTryTypeMethod(*svd,destroy);
177:   if ((*svd)->sigma) PetscCall(PetscFree3((*svd)->sigma,(*svd)->perm,(*svd)->errest));
178:   if ((*svd)->sign) PetscCall(PetscFree((*svd)->sign));
179:   PetscCall(DSDestroy(&(*svd)->ds));
180:   PetscCall(PetscFree((*svd)->sc));
181:   /* just in case the initial vectors have not been used */
182:   PetscCall(SlepcBasisDestroy_Private(&(*svd)->nini,&(*svd)->IS));
183:   PetscCall(SlepcBasisDestroy_Private(&(*svd)->ninil,&(*svd)->ISL));
184:   PetscCall(SVDMonitorCancel(*svd));
185:   PetscCall(PetscHeaderDestroy(svd));
186:   PetscFunctionReturn(PETSC_SUCCESS);
187: }

189: /*@C
190:    SVDSetType - Selects the particular solver to be used in the SVD object.

192:    Logically Collective

194:    Input Parameters:
195: +  svd      - the singular value solver context
196: -  type     - a known method

198:    Options Database Key:
199: .  -svd_type <method> - Sets the method; use -help for a list
200:     of available methods

202:    Notes:
203:    See "slepc/include/slepcsvd.h" for available methods. The default
204:    is SVDCROSS.

206:    Normally, it is best to use the SVDSetFromOptions() command and
207:    then set the SVD type from the options database rather than by using
208:    this routine.  Using the options database provides the user with
209:    maximum flexibility in evaluating the different available methods.
210:    The SVDSetType() routine is provided for those situations where it
211:    is necessary to set the iterative solver independently of the command
212:    line or options database.

214:    Level: intermediate

216: .seealso: SVDType
217: @*/
218: PetscErrorCode SVDSetType(SVD svd,SVDType type)
219: {
220:   PetscErrorCode (*r)(SVD);
221:   PetscBool      match;

223:   PetscFunctionBegin;
225:   PetscAssertPointer(type,2);

227:   PetscCall(PetscObjectTypeCompare((PetscObject)svd,type,&match));
228:   if (match) PetscFunctionReturn(PETSC_SUCCESS);

230:   PetscCall(PetscFunctionListFind(SVDList,type,&r));
231:   PetscCheck(r,PetscObjectComm((PetscObject)svd),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown SVD type given: %s",type);

233:   PetscTryTypeMethod(svd,destroy);
234:   PetscCall(PetscMemzero(svd->ops,sizeof(struct _SVDOps)));

236:   svd->state = SVD_STATE_INITIAL;
237:   PetscCall(PetscObjectChangeTypeName((PetscObject)svd,type));
238:   PetscCall((*r)(svd));
239:   PetscFunctionReturn(PETSC_SUCCESS);
240: }

242: /*@C
243:    SVDGetType - Gets the SVD type as a string from the SVD object.

245:    Not Collective

247:    Input Parameter:
248: .  svd - the singular value solver context

250:    Output Parameter:
251: .  type - name of SVD method

253:    Level: intermediate

255: .seealso: SVDSetType()
256: @*/
257: PetscErrorCode SVDGetType(SVD svd,SVDType *type)
258: {
259:   PetscFunctionBegin;
261:   PetscAssertPointer(type,2);
262:   *type = ((PetscObject)svd)->type_name;
263:   PetscFunctionReturn(PETSC_SUCCESS);
264: }

266: /*@C
267:    SVDRegister - Adds a method to the singular value solver package.

269:    Not Collective

271:    Input Parameters:
272: +  name - name of a new user-defined solver
273: -  function - routine to create the solver context

275:    Notes:
276:    SVDRegister() may be called multiple times to add several user-defined solvers.

278:    Example Usage:
279: .vb
280:     SVDRegister("my_solver",MySolverCreate);
281: .ve

283:    Then, your solver can be chosen with the procedural interface via
284: $     SVDSetType(svd,"my_solver")
285:    or at runtime via the option
286: $     -svd_type my_solver

288:    Level: advanced

290: .seealso: SVDRegisterAll()
291: @*/
292: PetscErrorCode SVDRegister(const char *name,PetscErrorCode (*function)(SVD))
293: {
294:   PetscFunctionBegin;
295:   PetscCall(SVDInitializePackage());
296:   PetscCall(PetscFunctionListAdd(&SVDList,name,function));
297:   PetscFunctionReturn(PETSC_SUCCESS);
298: }

300: /*@C
301:    SVDMonitorRegister - Adds SVD monitor routine.

303:    Not Collective

305:    Input Parameters:
306: +  name    - name of a new monitor routine
307: .  vtype   - a PetscViewerType for the output
308: .  format  - a PetscViewerFormat for the output
309: .  monitor - monitor routine
310: .  create  - creation routine, or NULL
311: -  destroy - destruction routine, or NULL

313:    Notes:
314:    SVDMonitorRegister() may be called multiple times to add several user-defined monitors.

316:    Example Usage:
317: .vb
318:    SVDMonitorRegister("my_monitor",PETSCVIEWERASCII,PETSC_VIEWER_ASCII_INFO_DETAIL,MyMonitor,NULL,NULL);
319: .ve

321:    Then, your monitor can be chosen with the procedural interface via
322: $      SVDMonitorSetFromOptions(svd,"-svd_monitor_my_monitor","my_monitor",NULL)
323:    or at runtime via the option
324: $      -svd_monitor_my_monitor

326:    Level: advanced

328: .seealso: SVDMonitorRegisterAll()
329: @*/
330: PetscErrorCode SVDMonitorRegister(const char name[],PetscViewerType vtype,PetscViewerFormat format,PetscErrorCode (*monitor)(SVD,PetscInt,PetscInt,PetscReal*,PetscReal*,PetscInt,PetscViewerAndFormat*),PetscErrorCode (*create)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**),PetscErrorCode (*destroy)(PetscViewerAndFormat**))
331: {
332:   char           key[PETSC_MAX_PATH_LEN];

334:   PetscFunctionBegin;
335:   PetscCall(SVDInitializePackage());
336:   PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key));
337:   PetscCall(PetscFunctionListAdd(&SVDMonitorList,key,monitor));
338:   if (create)  PetscCall(PetscFunctionListAdd(&SVDMonitorCreateList,key,create));
339:   if (destroy) PetscCall(PetscFunctionListAdd(&SVDMonitorDestroyList,key,destroy));
340:   PetscFunctionReturn(PETSC_SUCCESS);
341: }

343: /*@
344:    SVDSetBV - Associates basis vectors objects to the singular value solver.

346:    Collective

348:    Input Parameters:
349: +  svd - singular value solver context obtained from SVDCreate()
350: .  V   - the basis vectors object for right singular vectors
351: -  U   - the basis vectors object for left singular vectors

353:    Note:
354:    Use SVDGetBV() to retrieve the basis vectors contexts (for example,
355:    to free them at the end of the computations).

357:    Level: advanced

359: .seealso: SVDGetBV()
360: @*/
361: PetscErrorCode SVDSetBV(SVD svd,BV V,BV U)
362: {
363:   PetscFunctionBegin;
365:   if (V) {
367:     PetscCheckSameComm(svd,1,V,2);
368:     PetscCall(PetscObjectReference((PetscObject)V));
369:     PetscCall(BVDestroy(&svd->V));
370:     svd->V = V;
371:   }
372:   if (U) {
374:     PetscCheckSameComm(svd,1,U,3);
375:     PetscCall(PetscObjectReference((PetscObject)U));
376:     PetscCall(BVDestroy(&svd->U));
377:     svd->U = U;
378:   }
379:   PetscFunctionReturn(PETSC_SUCCESS);
380: }

382: /*@
383:    SVDGetBV - Obtain the basis vectors objects associated to the singular
384:    value solver object.

386:    Not Collective

388:    Input Parameter:
389: .  svd - singular value solver context obtained from SVDCreate()

391:    Output Parameters:
392: +  V - basis vectors context for right singular vectors
393: -  U - basis vectors context for left singular vectors

395:    Level: advanced

397: .seealso: SVDSetBV()
398: @*/
399: PetscErrorCode SVDGetBV(SVD svd,BV *V,BV *U)
400: {
401:   PetscFunctionBegin;
403:   if (V) {
404:     if (!svd->V) {
405:       PetscCall(BVCreate(PetscObjectComm((PetscObject)svd),&svd->V));
406:       PetscCall(PetscObjectIncrementTabLevel((PetscObject)svd->V,(PetscObject)svd,0));
407:       PetscCall(PetscObjectSetOptions((PetscObject)svd->V,((PetscObject)svd)->options));
408:     }
409:     *V = svd->V;
410:   }
411:   if (U) {
412:     if (!svd->U) {
413:       PetscCall(BVCreate(PetscObjectComm((PetscObject)svd),&svd->U));
414:       PetscCall(PetscObjectIncrementTabLevel((PetscObject)svd->U,(PetscObject)svd,0));
415:       PetscCall(PetscObjectSetOptions((PetscObject)svd->U,((PetscObject)svd)->options));
416:     }
417:     *U = svd->U;
418:   }
419:   PetscFunctionReturn(PETSC_SUCCESS);
420: }

422: /*@
423:    SVDSetDS - Associates a direct solver object to the singular value solver.

425:    Collective

427:    Input Parameters:
428: +  svd - singular value solver context obtained from SVDCreate()
429: -  ds  - the direct solver object

431:    Note:
432:    Use SVDGetDS() to retrieve the direct solver context (for example,
433:    to free it at the end of the computations).

435:    Level: advanced

437: .seealso: SVDGetDS()
438: @*/
439: PetscErrorCode SVDSetDS(SVD svd,DS ds)
440: {
441:   PetscFunctionBegin;
444:   PetscCheckSameComm(svd,1,ds,2);
445:   PetscCall(PetscObjectReference((PetscObject)ds));
446:   PetscCall(DSDestroy(&svd->ds));
447:   svd->ds = ds;
448:   PetscFunctionReturn(PETSC_SUCCESS);
449: }

451: /*@
452:    SVDGetDS - Obtain the direct solver object associated to the singular value
453:    solver object.

455:    Not Collective

457:    Input Parameters:
458: .  svd - singular value solver context obtained from SVDCreate()

460:    Output Parameter:
461: .  ds - direct solver context

463:    Level: advanced

465: .seealso: SVDSetDS()
466: @*/
467: PetscErrorCode SVDGetDS(SVD svd,DS *ds)
468: {
469:   PetscFunctionBegin;
471:   PetscAssertPointer(ds,2);
472:   if (!svd->ds) {
473:     PetscCall(DSCreate(PetscObjectComm((PetscObject)svd),&svd->ds));
474:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)svd->ds,(PetscObject)svd,0));
475:     PetscCall(PetscObjectSetOptions((PetscObject)svd->ds,((PetscObject)svd)->options));
476:   }
477:   *ds = svd->ds;
478:   PetscFunctionReturn(PETSC_SUCCESS);
479: }