Actual source code: itcreate.c
petsc-3.6.4 2016-04-12
2: /*
3: The basic KSP routines, Create, View etc. are here.
4: */
5: #include <petsc/private/kspimpl.h> /*I "petscksp.h" I*/
7: /* Logging support */
8: PetscClassId KSP_CLASSID;
9: PetscClassId DMKSP_CLASSID;
10: PetscLogEvent KSP_GMRESOrthogonalization, KSP_SetUp, KSP_Solve;
12: /*
13: Contains the list of registered KSP routines
14: */
15: PetscFunctionList KSPList = 0;
16: PetscBool KSPRegisterAllCalled = PETSC_FALSE;
20: /*@C
21: KSPLoad - Loads a KSP that has been stored in binary with KSPView().
23: Collective on PetscViewer
25: Input Parameters:
26: + newdm - the newly loaded KSP, this needs to have been created with KSPCreate() or
27: some related function before a call to KSPLoad().
28: - viewer - binary file viewer, obtained from PetscViewerBinaryOpen()
30: Level: intermediate
32: Notes:
33: The type is determined by the data in the file, any type set into the KSP before this call is ignored.
35: Notes for advanced users:
36: Most users should not need to know the details of the binary storage
37: format, since KSPLoad() and KSPView() completely hide these details.
38: But for anyone who's interested, the standard binary matrix storage
39: format is
40: .vb
41: has not yet been determined
42: .ve
44: .seealso: PetscViewerBinaryOpen(), KSPView(), MatLoad(), VecLoad()
45: @*/
46: PetscErrorCode KSPLoad(KSP newdm, PetscViewer viewer)
47: {
49: PetscBool isbinary;
50: PetscInt classid;
51: char type[256];
52: PC pc;
57: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);
58: if (!isbinary) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()");
60: PetscViewerBinaryRead(viewer,&classid,1,NULL,PETSC_INT);
61: if (classid != KSP_FILE_CLASSID) SETERRQ(PetscObjectComm((PetscObject)newdm),PETSC_ERR_ARG_WRONG,"Not KSP next in file");
62: PetscViewerBinaryRead(viewer,type,256,NULL,PETSC_CHAR);
63: KSPSetType(newdm, type);
64: if (newdm->ops->load) {
65: (*newdm->ops->load)(newdm,viewer);
66: }
67: KSPGetPC(newdm,&pc);
68: PCLoad(pc,viewer);
69: return(0);
70: }
72: #include <petscdraw.h>
73: #if defined(PETSC_HAVE_SAWS)
74: #include <petscviewersaws.h>
75: #endif
78: /*@C
79: KSPView - Prints the KSP data structure.
81: Collective on KSP
83: Input Parameters:
84: + ksp - the Krylov space context
85: - viewer - visualization context
87: Options Database Keys:
88: . -ksp_view - print the ksp data structure at the end of a KSPSolve call
90: Note:
91: The available visualization contexts include
92: + PETSC_VIEWER_STDOUT_SELF - standard output (default)
93: - PETSC_VIEWER_STDOUT_WORLD - synchronized standard
94: output where only the first processor opens
95: the file. All other processors send their
96: data to the first processor to print.
98: The user can open an alternative visualization context with
99: PetscViewerASCIIOpen() - output to a specified file.
101: Level: beginner
103: .keywords: KSP, view
105: .seealso: PCView(), PetscViewerASCIIOpen()
106: @*/
107: PetscErrorCode KSPView(KSP ksp,PetscViewer viewer)
108: {
110: PetscBool iascii,isbinary,isdraw;
111: #if defined(PETSC_HAVE_SAWS)
112: PetscBool issaws;
113: #endif
117: if (!viewer) viewer = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)ksp));
121: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
122: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);
123: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);
124: #if defined(PETSC_HAVE_SAWS)
125: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSAWS,&issaws);
126: #endif
127: if (iascii) {
128: PetscObjectPrintClassNamePrefixType((PetscObject)ksp,viewer);
129: if (ksp->ops->view) {
130: PetscViewerASCIIPushTab(viewer);
131: (*ksp->ops->view)(ksp,viewer);
132: PetscViewerASCIIPopTab(viewer);
133: }
134: if (ksp->guess_zero) {
135: PetscViewerASCIIPrintf(viewer," maximum iterations=%D, initial guess is zero\n",ksp->max_it);
136: } else {
137: PetscViewerASCIIPrintf(viewer," maximum iterations=%D\n", ksp->max_it);
138: }
139: if (ksp->guess_knoll) {PetscViewerASCIIPrintf(viewer," using preconditioner applied to right hand side for initial guess\n");}
140: PetscViewerASCIIPrintf(viewer," tolerances: relative=%g, absolute=%g, divergence=%g\n",(double)ksp->rtol,(double)ksp->abstol,(double)ksp->divtol);
141: if (ksp->pc_side == PC_RIGHT) {
142: PetscViewerASCIIPrintf(viewer," right preconditioning\n");
143: } else if (ksp->pc_side == PC_SYMMETRIC) {
144: PetscViewerASCIIPrintf(viewer," symmetric preconditioning\n");
145: } else {
146: PetscViewerASCIIPrintf(viewer," left preconditioning\n");
147: }
148: if (ksp->guess) {PetscViewerASCIIPrintf(viewer," using Fischers initial guess method %D with size %D\n",ksp->guess->method,ksp->guess->maxl);}
149: if (ksp->dscale) {PetscViewerASCIIPrintf(viewer," diagonally scaled system\n");}
150: if (!ksp->guess_zero) {PetscViewerASCIIPrintf(viewer," using nonzero initial guess\n");}
151: PetscViewerASCIIPrintf(viewer," using %s norm type for convergence test\n",KSPNormTypes[ksp->normtype]);
152: } else if (isbinary) {
153: PetscInt classid = KSP_FILE_CLASSID;
154: MPI_Comm comm;
155: PetscMPIInt rank;
156: char type[256];
158: PetscObjectGetComm((PetscObject)ksp,&comm);
159: MPI_Comm_rank(comm,&rank);
160: if (!rank) {
161: PetscViewerBinaryWrite(viewer,&classid,1,PETSC_INT,PETSC_FALSE);
162: PetscStrncpy(type,((PetscObject)ksp)->type_name,256);
163: PetscViewerBinaryWrite(viewer,type,256,PETSC_CHAR,PETSC_FALSE);
164: }
165: if (ksp->ops->view) {
166: (*ksp->ops->view)(ksp,viewer);
167: }
168: } else if (isdraw) {
169: PetscDraw draw;
170: char str[36];
171: PetscReal x,y,bottom,h;
172: PetscBool flg;
174: PetscViewerDrawGetDraw(viewer,0,&draw);
175: PetscDrawGetCurrentPoint(draw,&x,&y);
176: PetscObjectTypeCompare((PetscObject)ksp,KSPPREONLY,&flg);
177: if (!flg) {
178: PetscStrcpy(str,"KSP: ");
179: PetscStrcat(str,((PetscObject)ksp)->type_name);
180: PetscDrawStringBoxed(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);
181: bottom = y - h;
182: } else {
183: bottom = y;
184: }
185: PetscDrawPushCurrentPoint(draw,x,bottom);
186: #if defined(PETSC_HAVE_SAWS)
187: } else if (issaws) {
188: PetscMPIInt rank;
189: const char *name;
191: PetscObjectGetName((PetscObject)ksp,&name);
192: MPI_Comm_rank(PETSC_COMM_WORLD,&rank);
193: if (!((PetscObject)ksp)->amsmem && !rank) {
194: char dir[1024];
196: PetscObjectViewSAWs((PetscObject)ksp,viewer);
197: PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/its",name);
198: PetscStackCallSAWs(SAWs_Register,(dir,&ksp->its,1,SAWs_READ,SAWs_INT));
199: if (!ksp->res_hist) {
200: KSPSetResidualHistory(ksp,NULL,PETSC_DECIDE,PETSC_TRUE);
201: }
202: PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/res_hist",name);
203: PetscStackCallSAWs(SAWs_Register,(dir,ksp->res_hist,10,SAWs_READ,SAWs_DOUBLE));
204: }
205: #endif
206: } else if (ksp->ops->view) {
207: (*ksp->ops->view)(ksp,viewer);
208: }
209: if (!ksp->skippcsetfromoptions) {
210: if (!ksp->pc) {KSPGetPC(ksp,&ksp->pc);}
211: PCView(ksp->pc,viewer);
212: }
213: if (isdraw) {
214: PetscDraw draw;
215: PetscViewerDrawGetDraw(viewer,0,&draw);
216: PetscDrawPopCurrentPoint(draw);
217: }
218: return(0);
219: }
224: /*@
225: KSPSetNormType - Sets the norm that is used for convergence testing.
227: Logically Collective on KSP
229: Input Parameter:
230: + ksp - Krylov solver context
231: - normtype - one of
232: $ KSP_NORM_NONE - skips computing the norm, this should only be used if you are using
233: $ the Krylov method as a smoother with a fixed small number of iterations.
234: $ Implicitly sets KSPConvergedSkip as KSP convergence test.
235: $ KSP_NORM_PRECONDITIONED - the default for left preconditioned solves, uses the l2 norm
236: $ of the preconditioned residual P^{-1}(b - A x)
237: $ KSP_NORM_UNPRECONDITIONED - uses the l2 norm of the true b - Ax residual.
238: $ KSP_NORM_NATURAL - supported by KSPCG, KSPCR, KSPCGNE, KSPCGS
241: Options Database Key:
242: . -ksp_norm_type <none,preconditioned,unpreconditioned,natural>
244: Notes:
245: Not all combinations of preconditioner side (see KSPSetPCSide()) and norm type are supported by all Krylov methods.
246: If only one is set, PETSc tries to automatically change the other to find a compatible pair. If no such combination
247: is supported, PETSc will generate an error.
249: Developer Notes:
250: Supported combinations of norm and preconditioner side are set using KSPSetSupportedNorm().
253: Level: advanced
255: .keywords: KSP, create, context, norms
257: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetCheckNormIteration(), KSPSetPCSide(), KSPGetPCSide()
258: @*/
259: PetscErrorCode KSPSetNormType(KSP ksp,KSPNormType normtype)
260: {
266: ksp->normtype = ksp->normtype_set = normtype;
267: if (normtype == KSP_NORM_NONE) {
268: KSPSetConvergenceTest(ksp,KSPConvergedSkip,0,0);
269: PetscInfo(ksp,"Warning: setting KSPNormType to skip computing the norm\n\
270: KSP convergence test is implicitly set to KSPConvergedSkip\n");
271: }
272: return(0);
273: }
277: /*@
278: KSPSetCheckNormIteration - Sets the first iteration at which the norm of the residual will be
279: computed and used in the convergence test.
281: Logically Collective on KSP
283: Input Parameter:
284: + ksp - Krylov solver context
285: - it - use -1 to check at all iterations
287: Notes:
288: Currently only works with KSPCG, KSPBCGS and KSPIBCGS
290: Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm
292: On steps where the norm is not computed, the previous norm is still in the variable, so if you run with, for example,
293: -ksp_monitor the residual norm will appear to be unchanged for several iterations (though it is not really unchanged).
294: Level: advanced
296: .keywords: KSP, create, context, norms
298: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType()
299: @*/
300: PetscErrorCode KSPSetCheckNormIteration(KSP ksp,PetscInt it)
301: {
305: ksp->chknorm = it;
306: return(0);
307: }
311: /*@
312: KSPSetLagNorm - Lags the residual norm calculation so that it is computed as part of the MPI_Allreduce() for
313: computing the inner products for the next iteration. This can reduce communication costs at the expense of doing
314: one additional iteration.
317: Logically Collective on KSP
319: Input Parameter:
320: + ksp - Krylov solver context
321: - flg - PETSC_TRUE or PETSC_FALSE
323: Options Database Keys:
324: . -ksp_lag_norm - lag the calculated residual norm
326: Notes:
327: Currently only works with KSPIBCGS.
329: Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm
331: If you lag the norm and run with, for example, -ksp_monitor, the residual norm reported will be the lagged one.
332: Level: advanced
334: .keywords: KSP, create, context, norms
336: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType(), KSPSetCheckNormIteration()
337: @*/
338: PetscErrorCode KSPSetLagNorm(KSP ksp,PetscBool flg)
339: {
343: ksp->lagnorm = flg;
344: return(0);
345: }
349: /*@
350: KSPSetSupportedNorm - Sets a norm and preconditioner side supported by a KSP
352: Logically Collective
354: Input Arguments:
355: + ksp - Krylov method
356: . normtype - supported norm type
357: . pcside - preconditioner side that can be used with this norm
358: - preference - integer preference for this combination, larger values have higher priority
360: Level: developer
362: Notes:
363: This function should be called from the implementation files KSPCreate_XXX() to declare
364: which norms and preconditioner sides are supported. Users should not need to call this
365: function.
367: KSP_NORM_NONE is supported by default with all KSP methods and any PC side at priority 1. If a KSP explicitly does
368: not support KSP_NORM_NONE, it should set this by setting priority=0. Since defaulting to KSP_NORM_NONE is usually
369: undesirable, more desirable norms should usually have priority 2 or higher.
371: .seealso: KSPSetNormType(), KSPSetPCSide()
372: @*/
373: PetscErrorCode KSPSetSupportedNorm(KSP ksp,KSPNormType normtype,PCSide pcside,PetscInt priority)
374: {
378: ksp->normsupporttable[normtype][pcside] = priority;
379: return(0);
380: }
384: PetscErrorCode KSPNormSupportTableReset_Private(KSP ksp)
385: {
389: PetscMemzero(ksp->normsupporttable,sizeof(ksp->normsupporttable));
390: KSPSetSupportedNorm(ksp,KSP_NORM_NONE,PC_LEFT,1);
391: KSPSetSupportedNorm(ksp,KSP_NORM_NONE,PC_RIGHT,1);
392: ksp->pc_side = ksp->pc_side_set;
393: ksp->normtype = ksp->normtype_set;
394: return(0);
395: }
399: PetscErrorCode KSPSetUpNorms_Private(KSP ksp,KSPNormType *normtype,PCSide *pcside)
400: {
401: PetscInt i,j,best,ibest = 0,jbest = 0;
404: best = 0;
405: for (i=0; i<KSP_NORM_MAX; i++) {
406: for (j=0; j<PC_SIDE_MAX; j++) {
407: if ((ksp->normtype == KSP_NORM_DEFAULT || ksp->normtype == i)
408: && (ksp->pc_side == PC_SIDE_DEFAULT || ksp->pc_side == j)
409: && (ksp->normsupporttable[i][j] > best)) {
410: best = ksp->normsupporttable[i][j];
411: ibest = i;
412: jbest = j;
413: }
414: }
415: }
416: if (best < 1) {
417: if (ksp->normtype == KSP_NORM_DEFAULT && ksp->pc_side == PC_SIDE_DEFAULT) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_PLIB,"The %s KSP implementation did not call KSPSetSupportedNorm()",((PetscObject)ksp)->type_name);
418: if (ksp->normtype == KSP_NORM_DEFAULT) SETERRQ2(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s",((PetscObject)ksp)->type_name,PCSides[ksp->pc_side]);
419: if (ksp->pc_side == PC_SIDE_DEFAULT) SETERRQ2(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s",((PetscObject)ksp)->type_name,KSPNormTypes[ksp->normtype]);
420: SETERRQ3(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s with %s",((PetscObject)ksp)->type_name,KSPNormTypes[ksp->normtype],PCSides[ksp->pc_side]);
421: }
422: *normtype = (KSPNormType)ibest;
423: *pcside = (PCSide)jbest;
424: return(0);
425: }
429: /*@
430: KSPGetNormType - Gets the norm that is used for convergence testing.
432: Not Collective
434: Input Parameter:
435: . ksp - Krylov solver context
437: Output Parameter:
438: . normtype - norm that is used for convergence testing
440: Level: advanced
442: .keywords: KSP, create, context, norms
444: .seealso: KSPNormType, KSPSetNormType(), KSPConvergedSkip()
445: @*/
446: PetscErrorCode KSPGetNormType(KSP ksp, KSPNormType *normtype)
447: {
453: KSPSetUpNorms_Private(ksp,&ksp->normtype,&ksp->pc_side);
454: *normtype = ksp->normtype;
455: return(0);
456: }
458: #if defined(PETSC_HAVE_SAWS)
459: #include <petscviewersaws.h>
460: #endif
464: /*@
465: KSPSetOperators - Sets the matrix associated with the linear system
466: and a (possibly) different one associated with the preconditioner.
468: Collective on KSP and Mat
470: Input Parameters:
471: + ksp - the KSP context
472: . Amat - the matrix that defines the linear system
473: - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat.
475: Notes:
477: If you know the operator Amat has a null space you can use MatSetNullSpace() and MatSetTransposeNullSpace() to supply the null
478: space to Amat and the KSP solvers will automatically use that null space as needed during the solution process.
480: All future calls to KSPSetOperators() must use the same size matrices!
482: Passing a NULL for Amat or Pmat removes the matrix that is currently used.
484: If you wish to replace either Amat or Pmat but leave the other one untouched then
485: first call KSPGetOperators() to get the one you wish to keep, call PetscObjectReference()
486: on it and then pass it back in in your call to KSPSetOperators().
488: Level: beginner
490: Alternative usage: If the operators have NOT been set with KSP/PCSetOperators() then the operators
491: are created in PC and returned to the user. In this case, if both operators
492: mat and pmat are requested, two DIFFERENT operators will be returned. If
493: only one is requested both operators in the PC will be the same (i.e. as
494: if one had called KSP/PCSetOperators() with the same argument for both Mats).
495: The user must set the sizes of the returned matrices and their type etc just
496: as if the user created them with MatCreate(). For example,
498: $ KSP/PCGetOperators(ksp/pc,&mat,NULL); is equivalent to
499: $ set size, type, etc of mat
501: $ MatCreate(comm,&mat);
502: $ KSP/PCSetOperators(ksp/pc,mat,mat);
503: $ PetscObjectDereference((PetscObject)mat);
504: $ set size, type, etc of mat
506: and
508: $ KSP/PCGetOperators(ksp/pc,&mat,&pmat); is equivalent to
509: $ set size, type, etc of mat and pmat
511: $ MatCreate(comm,&mat);
512: $ MatCreate(comm,&pmat);
513: $ KSP/PCSetOperators(ksp/pc,mat,pmat);
514: $ PetscObjectDereference((PetscObject)mat);
515: $ PetscObjectDereference((PetscObject)pmat);
516: $ set size, type, etc of mat and pmat
518: The rational for this support is so that when creating a TS, SNES, or KSP the hierarchy
519: of underlying objects (i.e. SNES, KSP, PC, Mat) and their livespans can be completely
520: managed by the top most level object (i.e. the TS, SNES, or KSP). Another way to look
521: at this is when you create a SNES you do not NEED to create a KSP and attach it to
522: the SNES object (the SNES object manages it for you). Similarly when you create a KSP
523: you do not need to attach a PC to it (the KSP object manages the PC object for you).
524: Thus, why should YOU have to create the Mat and attach it to the SNES/KSP/PC, when
525: it can be created for you?
527: .keywords: KSP, set, operators, matrix, preconditioner, linear system
529: .seealso: KSPSolve(), KSPGetPC(), PCGetOperators(), PCSetOperators(), KSPGetOperators(), KSPSetComputeOperators(), KSPSetComputeInitialGuess(), KSPSetComputeRHS()
530: @*/
531: PetscErrorCode KSPSetOperators(KSP ksp,Mat Amat,Mat Pmat)
532: {
541: if (!ksp->pc) {KSPGetPC(ksp,&ksp->pc);}
542: PCSetOperators(ksp->pc,Amat,Pmat);
543: if (ksp->setupstage == KSP_SETUP_NEWRHS) ksp->setupstage = KSP_SETUP_NEWMATRIX; /* so that next solve call will call PCSetUp() on new matrix */
544: if (ksp->guess) {
545: KSPFischerGuessReset(ksp->guess);
546: }
547: return(0);
548: }
552: /*@
553: KSPGetOperators - Gets the matrix associated with the linear system
554: and a (possibly) different one associated with the preconditioner.
556: Collective on KSP and Mat
558: Input Parameter:
559: . ksp - the KSP context
561: Output Parameters:
562: + Amat - the matrix that defines the linear system
563: - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat.
565: Level: intermediate
567: Notes: DOES NOT increase the reference counts of the matrix, so you should NOT destroy them.
569: .keywords: KSP, set, get, operators, matrix, preconditioner, linear system
571: .seealso: KSPSolve(), KSPGetPC(), PCGetOperators(), PCSetOperators(), KSPSetOperators(), KSPGetOperatorsSet()
572: @*/
573: PetscErrorCode KSPGetOperators(KSP ksp,Mat *Amat,Mat *Pmat)
574: {
579: if (!ksp->pc) {KSPGetPC(ksp,&ksp->pc);}
580: PCGetOperators(ksp->pc,Amat,Pmat);
581: return(0);
582: }
586: /*@C
587: KSPGetOperatorsSet - Determines if the matrix associated with the linear system and
588: possibly a different one associated with the preconditioner have been set in the KSP.
590: Not collective, though the results on all processes should be the same
592: Input Parameter:
593: . pc - the KSP context
595: Output Parameters:
596: + mat - the matrix associated with the linear system was set
597: - pmat - matrix associated with the preconditioner was set, usually the same
599: Level: intermediate
601: .keywords: KSP, get, operators, matrix, linear system
603: .seealso: PCSetOperators(), KSPGetOperators(), KSPSetOperators(), PCGetOperators(), PCGetOperatorsSet()
604: @*/
605: PetscErrorCode KSPGetOperatorsSet(KSP ksp,PetscBool *mat,PetscBool *pmat)
606: {
611: if (!ksp->pc) {KSPGetPC(ksp,&ksp->pc);}
612: PCGetOperatorsSet(ksp->pc,mat,pmat);
613: return(0);
614: }
618: /*@C
619: KSPSetPreSolve - Sets a function that is called before every KSPSolve() is started
621: Logically Collective on KSP
623: Input Parameters:
624: + ksp - the solver object
625: . presolve - the function to call before the solve
626: - prectx - any context needed by the function
628: Level: developer
630: .keywords: KSP, create, context
632: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP, KSPSetPostSolve()
633: @*/
634: PetscErrorCode KSPSetPreSolve(KSP ksp,PetscErrorCode (*presolve)(KSP,Vec,Vec,void*),void *prectx)
635: {
638: ksp->presolve = presolve;
639: ksp->prectx = prectx;
640: return(0);
641: }
645: /*@C
646: KSPSetPostSolve - Sets a function that is called after every KSPSolve() completes (whether it converges or not)
648: Logically Collective on KSP
650: Input Parameters:
651: + ksp - the solver object
652: . postsolve - the function to call after the solve
653: - postctx - any context needed by the function
655: Level: developer
657: .keywords: KSP, create, context
659: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP, KSPSetPreSolve()
660: @*/
661: PetscErrorCode KSPSetPostSolve(KSP ksp,PetscErrorCode (*postsolve)(KSP,Vec,Vec,void*),void *postctx)
662: {
665: ksp->postsolve = postsolve;
666: ksp->postctx = postctx;
667: return(0);
668: }
672: /*@
673: KSPCreate - Creates the default KSP context.
675: Collective on MPI_Comm
677: Input Parameter:
678: . comm - MPI communicator
680: Output Parameter:
681: . ksp - location to put the KSP context
683: Notes:
684: The default KSP type is GMRES with a restart of 30, using modified Gram-Schmidt
685: orthogonalization.
687: Level: beginner
689: .keywords: KSP, create, context
691: .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP
692: @*/
693: PetscErrorCode KSPCreate(MPI_Comm comm,KSP *inksp)
694: {
695: KSP ksp;
697: void *ctx;
701: *inksp = 0;
702: KSPInitializePackage();
704: PetscHeaderCreate(ksp,KSP_CLASSID,"KSP","Krylov Method","KSP",comm,KSPDestroy,KSPView);
706: ksp->max_it = 10000;
707: ksp->pc_side = ksp->pc_side_set = PC_SIDE_DEFAULT;
708: ksp->rtol = 1.e-5;
709: #if defined(PETSC_USE_REAL_SINGLE)
710: ksp->abstol = 1.e-25;
711: #else
712: ksp->abstol = 1.e-50;
713: #endif
714: ksp->divtol = 1.e4;
716: ksp->chknorm = -1;
717: ksp->normtype = ksp->normtype_set = KSP_NORM_DEFAULT;
718: ksp->rnorm = 0.0;
719: ksp->its = 0;
720: ksp->guess_zero = PETSC_TRUE;
721: ksp->calc_sings = PETSC_FALSE;
722: ksp->res_hist = NULL;
723: ksp->res_hist_alloc = NULL;
724: ksp->res_hist_len = 0;
725: ksp->res_hist_max = 0;
726: ksp->res_hist_reset = PETSC_TRUE;
727: ksp->numbermonitors = 0;
729: KSPConvergedDefaultCreate(&ctx);
730: KSPSetConvergenceTest(ksp,KSPConvergedDefault,ctx,KSPConvergedDefaultDestroy);
731: ksp->ops->buildsolution = KSPBuildSolutionDefault;
732: ksp->ops->buildresidual = KSPBuildResidualDefault;
734: ksp->vec_sol = 0;
735: ksp->vec_rhs = 0;
736: ksp->pc = 0;
737: ksp->data = 0;
738: ksp->nwork = 0;
739: ksp->work = 0;
740: ksp->reason = KSP_CONVERGED_ITERATING;
741: ksp->setupstage = KSP_SETUP_NEW;
743: KSPNormSupportTableReset_Private(ksp);
745: *inksp = ksp;
746: return(0);
747: }
751: /*@C
752: KSPSetType - Builds KSP for a particular solver.
754: Logically Collective on KSP
756: Input Parameters:
757: + ksp - the Krylov space context
758: - type - a known method
760: Options Database Key:
761: . -ksp_type <method> - Sets the method; use -help for a list
762: of available methods (for instance, cg or gmres)
764: Notes:
765: See "petsc/include/petscksp.h" for available methods (for instance,
766: KSPCG or KSPGMRES).
768: Normally, it is best to use the KSPSetFromOptions() command and
769: then set the KSP type from the options database rather than by using
770: this routine. Using the options database provides the user with
771: maximum flexibility in evaluating the many different Krylov methods.
772: The KSPSetType() routine is provided for those situations where it
773: is necessary to set the iterative solver independently of the command
774: line or options database. This might be the case, for example, when
775: the choice of iterative solver changes during the execution of the
776: program, and the user's application is taking responsibility for
777: choosing the appropriate method. In other words, this routine is
778: not for beginners.
780: Level: intermediate
782: Developer Note: KSPRegister() is used to add Krylov types to KSPList from which they
783: are accessed by KSPSetType().
785: .keywords: KSP, set, method
787: .seealso: PCSetType(), KSPType, KSPRegister(), KSPCreate()
789: @*/
790: PetscErrorCode KSPSetType(KSP ksp, KSPType type)
791: {
792: PetscErrorCode ierr,(*r)(KSP);
793: PetscBool match;
799: PetscObjectTypeCompare((PetscObject)ksp,type,&match);
800: if (match) return(0);
802: PetscFunctionListFind(KSPList,type,&r);
803: if (!r) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unable to find requested KSP type %s",type);
804: /* Destroy the previous private KSP context */
805: if (ksp->ops->destroy) {
806: (*ksp->ops->destroy)(ksp);
807: ksp->ops->destroy = NULL;
808: }
809: /* Reinitialize function pointers in KSPOps structure */
810: PetscMemzero(ksp->ops,sizeof(struct _KSPOps));
811: ksp->ops->buildsolution = KSPBuildSolutionDefault;
812: ksp->ops->buildresidual = KSPBuildResidualDefault;
813: KSPNormSupportTableReset_Private(ksp);
814: /* Call the KSPCreate_XXX routine for this particular Krylov solver */
815: ksp->setupstage = KSP_SETUP_NEW;
816: PetscObjectChangeTypeName((PetscObject)ksp,type);
817: (*r)(ksp);
818: return(0);
819: }
823: /*@C
824: KSPGetType - Gets the KSP type as a string from the KSP object.
826: Not Collective
828: Input Parameter:
829: . ksp - Krylov context
831: Output Parameter:
832: . name - name of KSP method
834: Level: intermediate
836: .keywords: KSP, get, method, name
838: .seealso: KSPSetType()
839: @*/
840: PetscErrorCode KSPGetType(KSP ksp,KSPType *type)
841: {
845: *type = ((PetscObject)ksp)->type_name;
846: return(0);
847: }
851: /*@C
852: KSPRegister - Adds a method to the Krylov subspace solver package.
854: Not Collective
856: Input Parameters:
857: + name_solver - name of a new user-defined solver
858: - routine_create - routine to create method context
860: Notes:
861: KSPRegister() may be called multiple times to add several user-defined solvers.
863: Sample usage:
864: .vb
865: KSPRegister("my_solver",MySolverCreate);
866: .ve
868: Then, your solver can be chosen with the procedural interface via
869: $ KSPSetType(ksp,"my_solver")
870: or at runtime via the option
871: $ -ksp_type my_solver
873: Level: advanced
875: .keywords: KSP, register
877: .seealso: KSPRegisterAll(), KSPRegisterDestroy()
879: @*/
880: PetscErrorCode KSPRegister(const char sname[],PetscErrorCode (*function)(KSP))
881: {
885: PetscFunctionListAdd(&KSPList,sname,function);
886: return(0);
887: }