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: SVD routines for setting solver options
12: */
14: #include <slepc/private/svdimpl.h> 15: #include <petscdraw.h>
17: /*@
18: SVDSetImplicitTranspose - Indicates how to handle the transpose of the matrix
19: associated with the singular value problem.
21: Logically Collective on svd
23: Input Parameters:
24: + svd - the singular value solver context
25: - impl - how to handle the transpose (implicitly or not)
27: Options Database Key:
28: . -svd_implicittranspose - Activate the implicit transpose mode.
30: Notes:
31: By default, the transpose of the matrix is explicitly built (if the matrix
32: has defined the MatTranspose operation).
34: If this flag is set to true, the solver does not build the transpose, but
35: handles it implicitly via MatMultTranspose() (or MatMultHermitianTranspose()
36: in the complex case) operations. This is likely to be more inefficient
37: than the default behaviour, both in sequential and in parallel, but
38: requires less storage.
40: Level: advanced
42: .seealso: SVDGetImplicitTranspose(), SVDSolve(), SVDSetOperators()
43: @*/
44: PetscErrorCode SVDSetImplicitTranspose(SVD svd,PetscBool impl) 45: {
48: if (svd->impltrans!=impl) {
49: svd->impltrans = impl;
50: svd->state = SVD_STATE_INITIAL;
51: }
52: PetscFunctionReturn(0);
53: }
55: /*@
56: SVDGetImplicitTranspose - Gets the mode used to handle the transpose
57: of the matrix associated with the singular value problem.
59: Not Collective
61: Input Parameter:
62: . svd - the singular value solver context
64: Output Parameter:
65: . impl - how to handle the transpose (implicitly or not)
67: Level: advanced
69: .seealso: SVDSetImplicitTranspose(), SVDSolve(), SVDSetOperators()
70: @*/
71: PetscErrorCode SVDGetImplicitTranspose(SVD svd,PetscBool *impl) 72: {
75: *impl = svd->impltrans;
76: PetscFunctionReturn(0);
77: }
79: /*@
80: SVDSetTolerances - Sets the tolerance and maximum
81: iteration count used by the default SVD convergence testers.
83: Logically Collective on svd
85: Input Parameters:
86: + svd - the singular value solver context
87: . tol - the convergence tolerance
88: - maxits - maximum number of iterations to use
90: Options Database Keys:
91: + -svd_tol <tol> - Sets the convergence tolerance
92: - -svd_max_it <maxits> - Sets the maximum number of iterations allowed
94: Note:
95: Use PETSC_DEFAULT for either argument to assign a reasonably good value.
97: Level: intermediate
99: .seealso: SVDGetTolerances()
100: @*/
101: PetscErrorCode SVDSetTolerances(SVD svd,PetscReal tol,PetscInt maxits)102: {
106: if (tol == PETSC_DEFAULT) {
107: svd->tol = PETSC_DEFAULT;
108: svd->state = SVD_STATE_INITIAL;
109: } else {
111: svd->tol = tol;
112: }
113: if (maxits == PETSC_DEFAULT || maxits == PETSC_DECIDE) {
114: svd->max_it = PETSC_DEFAULT;
115: svd->state = SVD_STATE_INITIAL;
116: } else {
118: svd->max_it = maxits;
119: }
120: PetscFunctionReturn(0);
121: }
123: /*@C
124: SVDGetTolerances - Gets the tolerance and maximum
125: iteration count used by the default SVD convergence tests.
127: Not Collective
129: Input Parameter:
130: . svd - the singular value solver context
132: Output Parameters:
133: + tol - the convergence tolerance
134: - maxits - maximum number of iterations
136: Notes:
137: The user can specify NULL for any parameter that is not needed.
139: Level: intermediate
141: .seealso: SVDSetTolerances()
142: @*/
143: PetscErrorCode SVDGetTolerances(SVD svd,PetscReal *tol,PetscInt *maxits)144: {
146: if (tol) *tol = svd->tol;
147: if (maxits) *maxits = svd->max_it;
148: PetscFunctionReturn(0);
149: }
151: /*@
152: SVDSetDimensions - Sets the number of singular values to compute
153: and the dimension of the subspace.
155: Logically Collective on svd
157: Input Parameters:
158: + svd - the singular value solver context
159: . nsv - number of singular values to compute
160: . ncv - the maximum dimension of the subspace to be used by the solver
161: - mpd - the maximum dimension allowed for the projected problem
163: Options Database Keys:
164: + -svd_nsv <nsv> - Sets the number of singular values
165: . -svd_ncv <ncv> - Sets the dimension of the subspace
166: - -svd_mpd <mpd> - Sets the maximum projected dimension
168: Notes:
169: Use PETSC_DEFAULT for ncv and mpd to assign a reasonably good value, which is
170: dependent on the solution method and the number of singular values required.
172: The parameters ncv and mpd are intimately related, so that the user is advised
173: to set one of them at most. Normal usage is that
174: (a) in cases where nsv is small, the user sets ncv (a reasonable default is 2*nsv); and
175: (b) in cases where nsv is large, the user sets mpd.
177: The value of ncv should always be between nsv and (nsv+mpd), typically
178: ncv=nsv+mpd. If nsv is not too large, mpd=nsv is a reasonable choice, otherwise
179: a smaller value should be used.
181: Level: intermediate
183: .seealso: SVDGetDimensions()
184: @*/
185: PetscErrorCode SVDSetDimensions(SVD svd,PetscInt nsv,PetscInt ncv,PetscInt mpd)186: {
192: svd->nsv = nsv;
193: if (ncv == PETSC_DEFAULT || ncv == PETSC_DECIDE) {
194: svd->ncv = PETSC_DEFAULT;
195: } else {
197: svd->ncv = ncv;
198: }
199: if (mpd == PETSC_DECIDE || mpd == PETSC_DEFAULT) {
200: svd->mpd = PETSC_DEFAULT;
201: } else {
203: svd->mpd = mpd;
204: }
205: svd->state = SVD_STATE_INITIAL;
206: PetscFunctionReturn(0);
207: }
209: /*@C
210: SVDGetDimensions - Gets the number of singular values to compute
211: and the dimension of the subspace.
213: Not Collective
215: Input Parameter:
216: . svd - the singular value context
218: Output Parameters:
219: + nsv - number of singular values to compute
220: . ncv - the maximum dimension of the subspace to be used by the solver
221: - mpd - the maximum dimension allowed for the projected problem
223: Notes:
224: The user can specify NULL for any parameter that is not needed.
226: Level: intermediate
228: .seealso: SVDSetDimensions()
229: @*/
230: PetscErrorCode SVDGetDimensions(SVD svd,PetscInt *nsv,PetscInt *ncv,PetscInt *mpd)231: {
233: if (nsv) *nsv = svd->nsv;
234: if (ncv) *ncv = svd->ncv;
235: if (mpd) *mpd = svd->mpd;
236: PetscFunctionReturn(0);
237: }
239: /*@
240: SVDSetWhichSingularTriplets - Specifies which singular triplets are
241: to be sought.
243: Logically Collective on svd
245: Input Parameter:
246: . svd - singular value solver context obtained from SVDCreate()
248: Output Parameter:
249: . which - which singular triplets are to be sought
251: Possible values:
252: The parameter 'which' can have one of these values
254: + SVD_LARGEST - largest singular values
255: - SVD_SMALLEST - smallest singular values
257: Options Database Keys:
258: + -svd_largest - Sets largest singular values
259: - -svd_smallest - Sets smallest singular values
261: Level: intermediate
263: .seealso: SVDGetWhichSingularTriplets(), SVDWhich264: @*/
265: PetscErrorCode SVDSetWhichSingularTriplets(SVD svd,SVDWhich which)266: {
269: switch (which) {
270: case SVD_LARGEST:
271: case SVD_SMALLEST:
272: if (svd->which != which) {
273: svd->state = SVD_STATE_INITIAL;
274: svd->which = which;
275: }
276: break;
277: default:278: SETERRQ(PetscObjectComm((PetscObject)svd),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'which' parameter");
279: }
280: PetscFunctionReturn(0);
281: }
283: /*@
284: SVDGetWhichSingularTriplets - Returns which singular triplets are
285: to be sought.
287: Not Collective
289: Input Parameter:
290: . svd - singular value solver context obtained from SVDCreate()
292: Output Parameter:
293: . which - which singular triplets are to be sought
295: Notes:
296: See SVDSetWhichSingularTriplets() for possible values of which
298: Level: intermediate
300: .seealso: SVDSetWhichSingularTriplets(), SVDWhich301: @*/
302: PetscErrorCode SVDGetWhichSingularTriplets(SVD svd,SVDWhich *which)303: {
306: *which = svd->which;
307: PetscFunctionReturn(0);
308: }
310: /*@C
311: SVDSetConvergenceTestFunction - Sets a function to compute the error estimate
312: used in the convergence test.
314: Logically Collective on svd
316: Input Parameters:
317: + svd - singular value solver context obtained from SVDCreate()
318: . func - a pointer to the convergence test function
319: . ctx - context for private data for the convergence routine (may be null)
320: - destroy - a routine for destroying the context (may be null)
322: Calling Sequence of func:
323: $ func(SVD svd,PetscReal sigma,PetscReal res,PetscReal *errest,void *ctx)
325: + svd - singular value solver context obtained from SVDCreate()
326: . sigma - computed singular value
327: . res - residual norm associated to the singular triplet
328: . errest - (output) computed error estimate
329: - ctx - optional context, as set by SVDSetConvergenceTestFunction()
331: Note:
332: If the error estimate returned by the convergence test function is less than
333: the tolerance, then the singular value is accepted as converged.
335: Level: advanced
337: .seealso: SVDSetConvergenceTest(), SVDSetTolerances()
338: @*/
339: PetscErrorCode SVDSetConvergenceTestFunction(SVD svd,PetscErrorCode (*func)(SVD,PetscReal,PetscReal,PetscReal*,void*),void* ctx,PetscErrorCode (*destroy)(void*))340: {
342: if (svd->convergeddestroy) (*svd->convergeddestroy)(svd->convergedctx);
343: svd->convergeduser = func;
344: svd->convergeddestroy = destroy;
345: svd->convergedctx = ctx;
346: if (func == SVDConvergedAbsolute) svd->conv = SVD_CONV_ABS;
347: else if (func == SVDConvergedRelative) svd->conv = SVD_CONV_REL;
348: else if (func == SVDConvergedNorm) svd->conv = SVD_CONV_NORM;
349: else if (func == SVDConvergedMaxIt) svd->conv = SVD_CONV_MAXIT;
350: else {
351: svd->conv = SVD_CONV_USER;
352: svd->converged = svd->convergeduser;
353: }
354: PetscFunctionReturn(0);
355: }
357: /*@
358: SVDSetConvergenceTest - Specifies how to compute the error estimate
359: used in the convergence test.
361: Logically Collective on svd
363: Input Parameters:
364: + svd - singular value solver context obtained from SVDCreate()
365: - conv - the type of convergence test
367: Options Database Keys:
368: + -svd_conv_abs - Sets the absolute convergence test
369: . -svd_conv_rel - Sets the convergence test relative to the singular value
370: . -svd_conv_norm - Sets the convergence test relative to the matrix norm
371: . -svd_conv_maxit - Forces the maximum number of iterations as set by -svd_max_it
372: - -svd_conv_user - Selects the user-defined convergence test
374: Notes:
375: The parameter 'conv' can have one of these values
376: + SVD_CONV_ABS - absolute error ||r||
377: . SVD_CONV_REL - error relative to the singular value sigma, ||r||/sigma
378: . SVD_CONV_NORM - error relative to the matrix norms, ||r||/||Z||, with Z=A or Z=[A;B]
379: . SVD_CONV_MAXIT - no convergence until maximum number of iterations has been reached
380: - SVD_CONV_USER - function set by SVDSetConvergenceTestFunction()
382: The default in standard SVD is SVD_CONV_REL, while in GSVD the default is SVD_CONV_NORM.
384: Level: intermediate
386: .seealso: SVDGetConvergenceTest(), SVDSetConvergenceTestFunction(), SVDSetStoppingTest(), SVDConv387: @*/
388: PetscErrorCode SVDSetConvergenceTest(SVD svd,SVDConv conv)389: {
392: switch (conv) {
393: case SVD_CONV_ABS: svd->converged = SVDConvergedAbsolute; break;
394: case SVD_CONV_REL: svd->converged = SVDConvergedRelative; break;
395: case SVD_CONV_NORM: svd->converged = SVDConvergedNorm; break;
396: case SVD_CONV_MAXIT: svd->converged = SVDConvergedMaxIt; break;
397: case SVD_CONV_USER:
399: svd->converged = svd->convergeduser;
400: break;
401: default:402: SETERRQ(PetscObjectComm((PetscObject)svd),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'conv' value");
403: }
404: svd->conv = conv;
405: PetscFunctionReturn(0);
406: }
408: /*@
409: SVDGetConvergenceTest - Gets the method used to compute the error estimate
410: used in the convergence test.
412: Not Collective
414: Input Parameters:
415: . svd - singular value solver context obtained from SVDCreate()
417: Output Parameters:
418: . conv - the type of convergence test
420: Level: intermediate
422: .seealso: SVDSetConvergenceTest(), SVDConv423: @*/
424: PetscErrorCode SVDGetConvergenceTest(SVD svd,SVDConv *conv)425: {
428: *conv = svd->conv;
429: PetscFunctionReturn(0);
430: }
432: /*@C
433: SVDSetStoppingTestFunction - Sets a function to decide when to stop the outer
434: iteration of the singular value solver.
436: Logically Collective on svd
438: Input Parameters:
439: + svd - singular value solver context obtained from SVDCreate()
440: . func - pointer to the stopping test function
441: . ctx - context for private data for the stopping routine (may be null)
442: - destroy - a routine for destroying the context (may be null)
444: Calling Sequence of func:
445: $ func(SVD svd,PetscInt its,PetscInt max_it,PetscInt nconv,PetscInt nsv,SVDConvergedReason *reason,void *ctx)
447: + svd - singular value solver context obtained from SVDCreate()
448: . its - current number of iterations
449: . max_it - maximum number of iterations
450: . nconv - number of currently converged singular triplets
451: . nsv - number of requested singular triplets
452: . reason - (output) result of the stopping test
453: - ctx - optional context, as set by SVDSetStoppingTestFunction()
455: Note:
456: Normal usage is to first call the default routine SVDStoppingBasic() and then
457: set reason to SVD_CONVERGED_USER if some user-defined conditions have been
458: met. To let the singular value solver continue iterating, the result must be
459: left as SVD_CONVERGED_ITERATING.
461: Level: advanced
463: .seealso: SVDSetStoppingTest(), SVDStoppingBasic()
464: @*/
465: PetscErrorCode SVDSetStoppingTestFunction(SVD svd,PetscErrorCode (*func)(SVD,PetscInt,PetscInt,PetscInt,PetscInt,SVDConvergedReason*,void*),void* ctx,PetscErrorCode (*destroy)(void*))466: {
468: if (svd->stoppingdestroy) (*svd->stoppingdestroy)(svd->stoppingctx);
469: svd->stoppinguser = func;
470: svd->stoppingdestroy = destroy;
471: svd->stoppingctx = ctx;
472: if (func == SVDStoppingBasic) svd->stop = SVD_STOP_BASIC;
473: else {
474: svd->stop = SVD_STOP_USER;
475: svd->stopping = svd->stoppinguser;
476: }
477: PetscFunctionReturn(0);
478: }
480: /*@
481: SVDSetStoppingTest - Specifies how to decide the termination of the outer
482: loop of the singular value solver.
484: Logically Collective on svd
486: Input Parameters:
487: + svd - singular value solver context obtained from SVDCreate()
488: - stop - the type of stopping test
490: Options Database Keys:
491: + -svd_stop_basic - Sets the default stopping test
492: - -svd_stop_user - Selects the user-defined stopping test
494: Note:
495: The parameter 'stop' can have one of these values
496: + SVD_STOP_BASIC - default stopping test
497: - SVD_STOP_USER - function set by SVDSetStoppingTestFunction()
499: Level: advanced
501: .seealso: SVDGetStoppingTest(), SVDSetStoppingTestFunction(), SVDSetConvergenceTest(), SVDStop502: @*/
503: PetscErrorCode SVDSetStoppingTest(SVD svd,SVDStop stop)504: {
507: switch (stop) {
508: case SVD_STOP_BASIC: svd->stopping = SVDStoppingBasic; break;
509: case SVD_STOP_USER:
511: svd->stopping = svd->stoppinguser;
512: break;
513: default:514: SETERRQ(PetscObjectComm((PetscObject)svd),PETSC_ERR_ARG_OUTOFRANGE,"Invalid 'stop' value");
515: }
516: svd->stop = stop;
517: PetscFunctionReturn(0);
518: }
520: /*@
521: SVDGetStoppingTest - Gets the method used to decide the termination of the outer
522: loop of the singular value solver.
524: Not Collective
526: Input Parameters:
527: . svd - singular value solver context obtained from SVDCreate()
529: Output Parameters:
530: . stop - the type of stopping test
532: Level: advanced
534: .seealso: SVDSetStoppingTest(), SVDStop535: @*/
536: PetscErrorCode SVDGetStoppingTest(SVD svd,SVDStop *stop)537: {
540: *stop = svd->stop;
541: PetscFunctionReturn(0);
542: }
544: /*@C
545: SVDMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type
546: indicated by the user.
548: Collective on svd
550: Input Parameters:
551: + svd - the singular value solver context
552: . opt - the command line option for this monitor
553: . name - the monitor type one is seeking
554: . ctx - an optional user context for the monitor, or NULL
555: - trackall - whether this monitor tracks all singular values or not
557: Level: developer
559: .seealso: SVDMonitorSet(), SVDSetTrackAll()
560: @*/
561: PetscErrorCode SVDMonitorSetFromOptions(SVD svd,const char opt[],const char name[],void *ctx,PetscBool trackall)562: {
563: PetscErrorCode (*mfunc)(SVD,PetscInt,PetscInt,PetscReal*,PetscReal*,PetscInt,void*);
564: PetscErrorCode (*cfunc)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**);
565: PetscErrorCode (*dfunc)(PetscViewerAndFormat**);
566: PetscViewerAndFormat *vf;
567: PetscViewer viewer;
568: PetscViewerFormat format;
569: PetscViewerType vtype;
570: char key[PETSC_MAX_PATH_LEN];
571: PetscBool flg;
573: PetscOptionsGetViewer(PetscObjectComm((PetscObject)svd),((PetscObject)svd)->options,((PetscObject)svd)->prefix,opt,&viewer,&format,&flg);
574: if (!flg) PetscFunctionReturn(0);
576: PetscViewerGetType(viewer,&vtype);
577: SlepcMonitorMakeKey_Internal(name,vtype,format,key);
578: PetscFunctionListFind(SVDMonitorList,key,&mfunc);
580: PetscFunctionListFind(SVDMonitorCreateList,key,&cfunc);
581: PetscFunctionListFind(SVDMonitorDestroyList,key,&dfunc);
582: if (!cfunc) cfunc = PetscViewerAndFormatCreate_Internal;
583: if (!dfunc) dfunc = PetscViewerAndFormatDestroy;
585: (*cfunc)(viewer,format,ctx,&vf);
586: PetscObjectDereference((PetscObject)viewer);
587: SVDMonitorSet(svd,mfunc,vf,(PetscErrorCode(*)(void **))dfunc);
588: if (trackall) SVDSetTrackAll(svd,PETSC_TRUE);
589: PetscFunctionReturn(0);
590: }
592: /*@
593: SVDSetFromOptions - Sets SVD options from the options database.
594: This routine must be called before SVDSetUp() if the user is to be
595: allowed to set the solver type.
597: Collective on svd
599: Input Parameters:
600: . svd - the singular value solver context
602: Notes:
603: To see all options, run your program with the -help option.
605: Level: beginner
607: .seealso: SVDSetOptionsPrefix()
608: @*/
609: PetscErrorCode SVDSetFromOptions(SVD svd)610: {
612: char type[256];
613: PetscBool set,flg,val,flg1,flg2,flg3;
614: PetscInt i,j,k;
615: PetscReal r;
618: SVDRegisterAll();
619: ierr = PetscObjectOptionsBegin((PetscObject)svd);
620: PetscOptionsFList("-svd_type","SVD solver method","SVDSetType",SVDList,(char*)(((PetscObject)svd)->type_name?((PetscObject)svd)->type_name:SVDCROSS),type,sizeof(type),&flg);
621: if (flg) SVDSetType(svd,type);
622: else if (!((PetscObject)svd)->type_name) SVDSetType(svd,SVDCROSS);
624: PetscOptionsBoolGroupBegin("-svd_standard","Singular value decomposition (SVD)","SVDSetProblemType",&flg);
625: if (flg) SVDSetProblemType(svd,SVD_STANDARD);
626: PetscOptionsBoolGroupEnd("-svd_generalized","Generalized singular value decomposition (GSVD)","SVDSetProblemType",&flg);
627: if (flg) SVDSetProblemType(svd,SVD_GENERALIZED);
629: PetscOptionsBool("-svd_implicittranspose","Handle matrix transpose implicitly","SVDSetImplicitTranspose",svd->impltrans,&val,&flg);
630: if (flg) SVDSetImplicitTranspose(svd,val);
632: i = svd->max_it;
633: PetscOptionsInt("-svd_max_it","Maximum number of iterations","SVDSetTolerances",svd->max_it,&i,&flg1);
634: r = svd->tol;
635: PetscOptionsReal("-svd_tol","Tolerance","SVDSetTolerances",SlepcDefaultTol(svd->tol),&r,&flg2);
636: if (flg1 || flg2) SVDSetTolerances(svd,r,i);
638: PetscOptionsBoolGroupBegin("-svd_conv_abs","Absolute error convergence test","SVDSetConvergenceTest",&flg);
639: if (flg) SVDSetConvergenceTest(svd,SVD_CONV_ABS);
640: PetscOptionsBoolGroup("-svd_conv_rel","Relative error convergence test","SVDSetConvergenceTest",&flg);
641: if (flg) SVDSetConvergenceTest(svd,SVD_CONV_REL);
642: PetscOptionsBoolGroup("-svd_conv_norm","Convergence test relative to the matrix norms","SVDSetConvergenceTest",&flg);
643: if (flg) SVDSetConvergenceTest(svd,SVD_CONV_NORM);
644: PetscOptionsBoolGroup("-svd_conv_maxit","Maximum iterations convergence test","SVDSetConvergenceTest",&flg);
645: if (flg) SVDSetConvergenceTest(svd,SVD_CONV_MAXIT);
646: PetscOptionsBoolGroupEnd("-svd_conv_user","User-defined convergence test","SVDSetConvergenceTest",&flg);
647: if (flg) SVDSetConvergenceTest(svd,SVD_CONV_USER);
649: PetscOptionsBoolGroupBegin("-svd_stop_basic","Stop iteration if all singular values converged or max_it reached","SVDSetStoppingTest",&flg);
650: if (flg) SVDSetStoppingTest(svd,SVD_STOP_BASIC);
651: PetscOptionsBoolGroupEnd("-svd_stop_user","User-defined stopping test","SVDSetStoppingTest",&flg);
652: if (flg) SVDSetStoppingTest(svd,SVD_STOP_USER);
654: i = svd->nsv;
655: PetscOptionsInt("-svd_nsv","Number of singular values to compute","SVDSetDimensions",svd->nsv,&i,&flg1);
656: j = svd->ncv;
657: PetscOptionsInt("-svd_ncv","Number of basis vectors","SVDSetDimensions",svd->ncv,&j,&flg2);
658: k = svd->mpd;
659: PetscOptionsInt("-svd_mpd","Maximum dimension of projected problem","SVDSetDimensions",svd->mpd,&k,&flg3);
660: if (flg1 || flg2 || flg3) SVDSetDimensions(svd,i,j,k);
662: PetscOptionsBoolGroupBegin("-svd_largest","Compute largest singular values","SVDSetWhichSingularTriplets",&flg);
663: if (flg) SVDSetWhichSingularTriplets(svd,SVD_LARGEST);
664: PetscOptionsBoolGroupEnd("-svd_smallest","Compute smallest singular values","SVDSetWhichSingularTriplets",&flg);
665: if (flg) SVDSetWhichSingularTriplets(svd,SVD_SMALLEST);
667: /* -----------------------------------------------------------------------*/
668: /*
669: Cancels all monitors hardwired into code before call to SVDSetFromOptions()
670: */
671: PetscOptionsBool("-svd_monitor_cancel","Remove any hardwired monitor routines","SVDMonitorCancel",PETSC_FALSE,&flg,&set);
672: if (set && flg) SVDMonitorCancel(svd);
673: SVDMonitorSetFromOptions(svd,"-svd_monitor","first_approximation",NULL,PETSC_FALSE);
674: SVDMonitorSetFromOptions(svd,"-svd_monitor_all","all_approximations",NULL,PETSC_TRUE);
675: SVDMonitorSetFromOptions(svd,"-svd_monitor_conv","convergence_history",NULL,PETSC_FALSE);
677: /* -----------------------------------------------------------------------*/
678: PetscOptionsName("-svd_view","Print detailed information on solver used","SVDView",NULL);
679: PetscOptionsName("-svd_view_vectors","View computed singular vectors","SVDVectorsView",NULL);
680: PetscOptionsName("-svd_view_values","View computed singular values","SVDValuesView",NULL);
681: PetscOptionsName("-svd_converged_reason","Print reason for convergence, and number of iterations","SVDConvergedReasonView",NULL);
682: PetscOptionsName("-svd_error_absolute","Print absolute errors of each singular triplet","SVDErrorView",NULL);
683: PetscOptionsName("-svd_error_relative","Print relative errors of each singular triplet","SVDErrorView",NULL);
684: PetscOptionsName("-svd_error_norm","Print errors relative to the matrix norms of each singular triplet","SVDErrorView",NULL);
686: if (svd->ops->setfromoptions) (*svd->ops->setfromoptions)(PetscOptionsObject,svd);
687: PetscObjectProcessOptionsHandlers(PetscOptionsObject,(PetscObject)svd);
688: ierr = PetscOptionsEnd();
690: if (!svd->V) SVDGetBV(svd,&svd->V,NULL);
691: BVSetFromOptions(svd->V);
692: if (!svd->U) SVDGetBV(svd,NULL,&svd->U);
693: BVSetFromOptions(svd->U);
694: if (!svd->ds) SVDGetDS(svd,&svd->ds);
695: DSSetFromOptions(svd->ds);
696: PetscFunctionReturn(0);
697: }
699: /*@
700: SVDSetProblemType - Specifies the type of the singular value problem.
702: Logically Collective on svd
704: Input Parameters:
705: + svd - the singular value solver context
706: - type - a known type of singular value problem
708: Options Database Keys:
709: + -svd_standard - standard singular value decomposition (SVD)
710: - -svd_generalized - generalized singular value problem (GSVD)
712: Notes:
713: The GSVD requires that two matrices have been passed via SVDSetOperators().
715: Level: intermediate
717: .seealso: SVDSetOperators(), SVDSetType(), SVDGetProblemType(), SVDProblemType718: @*/
719: PetscErrorCode SVDSetProblemType(SVD svd,SVDProblemType type)720: {
723: if (type == svd->problem_type) PetscFunctionReturn(0);
724: switch (type) {
725: case SVD_STANDARD:
726: svd->isgeneralized = PETSC_FALSE;
727: break;
728: case SVD_GENERALIZED:
729: svd->isgeneralized = PETSC_TRUE;
730: break;
731: default:732: SETERRQ(PetscObjectComm((PetscObject)svd),PETSC_ERR_ARG_WRONG,"Unknown singular value problem type");
733: }
734: svd->problem_type = type;
735: svd->state = SVD_STATE_INITIAL;
736: PetscFunctionReturn(0);
737: }
739: /*@
740: SVDGetProblemType - Gets the problem type from the SVD object.
742: Not Collective
744: Input Parameter:
745: . svd - the singular value solver context
747: Output Parameter:
748: . type - the problem type
750: Level: intermediate
752: .seealso: SVDSetProblemType(), SVDProblemType753: @*/
754: PetscErrorCode SVDGetProblemType(SVD svd,SVDProblemType *type)755: {
758: *type = svd->problem_type;
759: PetscFunctionReturn(0);
760: }
762: /*@
763: SVDIsGeneralized - Ask if the SVD object corresponds to a generalized
764: singular value problem.
766: Not collective
768: Input Parameter:
769: . svd - the singular value solver context
771: Output Parameter:
772: . is - the answer
774: Level: intermediate
776: .seealso: SVDIsHermitian(), SVDIsPositive()
777: @*/
778: PetscErrorCode SVDIsGeneralized(SVD svd,PetscBool* is)779: {
782: *is = svd->isgeneralized;
783: PetscFunctionReturn(0);
784: }
786: /*@
787: SVDSetTrackAll - Specifies if the solver must compute the residual norm of all
788: approximate singular value or not.
790: Logically Collective on svd
792: Input Parameters:
793: + svd - the singular value solver context
794: - trackall - whether to compute all residuals or not
796: Notes:
797: If the user sets trackall=PETSC_TRUE then the solver computes (or estimates)
798: the residual norm for each singular value approximation. Computing the residual is
799: usually an expensive operation and solvers commonly compute only the residual
800: associated to the first unconverged singular value.
802: The option '-svd_monitor_all' automatically activates this option.
804: Level: developer
806: .seealso: SVDGetTrackAll()
807: @*/
808: PetscErrorCode SVDSetTrackAll(SVD svd,PetscBool trackall)809: {
812: svd->trackall = trackall;
813: PetscFunctionReturn(0);
814: }
816: /*@
817: SVDGetTrackAll - Returns the flag indicating whether all residual norms must
818: be computed or not.
820: Not Collective
822: Input Parameter:
823: . svd - the singular value solver context
825: Output Parameter:
826: . trackall - the returned flag
828: Level: developer
830: .seealso: SVDSetTrackAll()
831: @*/
832: PetscErrorCode SVDGetTrackAll(SVD svd,PetscBool *trackall)833: {
836: *trackall = svd->trackall;
837: PetscFunctionReturn(0);
838: }
840: /*@C
841: SVDSetOptionsPrefix - Sets the prefix used for searching for all
842: SVD options in the database.
844: Logically Collective on svd
846: Input Parameters:
847: + svd - the singular value solver context
848: - prefix - the prefix string to prepend to all SVD option requests
850: Notes:
851: A hyphen (-) must NOT be given at the beginning of the prefix name.
852: The first character of all runtime options is AUTOMATICALLY the
853: hyphen.
855: For example, to distinguish between the runtime options for two
856: different SVD contexts, one could call
857: .vb
858: SVDSetOptionsPrefix(svd1,"svd1_")
859: SVDSetOptionsPrefix(svd2,"svd2_")
860: .ve
862: Level: advanced
864: .seealso: SVDAppendOptionsPrefix(), SVDGetOptionsPrefix()
865: @*/
866: PetscErrorCode SVDSetOptionsPrefix(SVD svd,const char *prefix)867: {
869: if (!svd->V) SVDGetBV(svd,&svd->V,&svd->U);
870: BVSetOptionsPrefix(svd->V,prefix);
871: BVSetOptionsPrefix(svd->U,prefix);
872: if (!svd->ds) SVDGetDS(svd,&svd->ds);
873: DSSetOptionsPrefix(svd->ds,prefix);
874: PetscObjectSetOptionsPrefix((PetscObject)svd,prefix);
875: PetscFunctionReturn(0);
876: }
878: /*@C
879: SVDAppendOptionsPrefix - Appends to the prefix used for searching for all
880: SVD options in the database.
882: Logically Collective on svd
884: Input Parameters:
885: + svd - the singular value solver context
886: - prefix - the prefix string to prepend to all SVD option requests
888: Notes:
889: A hyphen (-) must NOT be given at the beginning of the prefix name.
890: The first character of all runtime options is AUTOMATICALLY the hyphen.
892: Level: advanced
894: .seealso: SVDSetOptionsPrefix(), SVDGetOptionsPrefix()
895: @*/
896: PetscErrorCode SVDAppendOptionsPrefix(SVD svd,const char *prefix)897: {
899: if (!svd->V) SVDGetBV(svd,&svd->V,&svd->U);
900: BVAppendOptionsPrefix(svd->V,prefix);
901: BVAppendOptionsPrefix(svd->U,prefix);
902: if (!svd->ds) SVDGetDS(svd,&svd->ds);
903: DSAppendOptionsPrefix(svd->ds,prefix);
904: PetscObjectAppendOptionsPrefix((PetscObject)svd,prefix);
905: PetscFunctionReturn(0);
906: }
908: /*@C
909: SVDGetOptionsPrefix - Gets the prefix used for searching for all
910: SVD options in the database.
912: Not Collective
914: Input Parameters:
915: . svd - the singular value solver context
917: Output Parameters:
918: . prefix - pointer to the prefix string used is returned
920: Note:
921: On the Fortran side, the user should pass in a string 'prefix' of
922: sufficient length to hold the prefix.
924: Level: advanced
926: .seealso: SVDSetOptionsPrefix(), SVDAppendOptionsPrefix()
927: @*/
928: PetscErrorCode SVDGetOptionsPrefix(SVD svd,const char *prefix[])929: {
932: PetscObjectGetOptionsPrefix((PetscObject)svd,prefix);
933: PetscFunctionReturn(0);
934: }