Actual source code: snes.c
1: #include <petsc/private/snesimpl.h>
2: #include <petsc/private/linesearchimpl.h>
3: #include <petscdmshell.h>
4: #include <petscdraw.h>
5: #include <petscds.h>
6: #include <petscdmadaptor.h>
7: #include <petscconvest.h>
9: PetscBool SNESRegisterAllCalled = PETSC_FALSE;
10: PetscFunctionList SNESList = NULL;
12: /* Logging support */
13: PetscClassId SNES_CLASSID, DMSNES_CLASSID;
14: PetscLogEvent SNES_Solve, SNES_SetUp, SNES_FunctionEval, SNES_JacobianEval, SNES_NGSEval, SNES_NGSFuncEval, SNES_NewtonALEval, SNES_NPCSolve, SNES_ObjectiveEval;
16: /*@
17: SNESSetErrorIfNotConverged - Causes `SNESSolve()` to generate an error immediately if the solver has not converged.
19: Logically Collective
21: Input Parameters:
22: + snes - iterative context obtained from `SNESCreate()`
23: - flg - `PETSC_TRUE` indicates you want the error generated
25: Options Database Key:
26: . -snes_error_if_not_converged (true|false) - cause an immediate error condition and stop the program if the solver does not converge
28: Level: intermediate
30: Note:
31: Normally PETSc continues if a solver fails to converge, you can call `SNESGetConvergedReason()` after a `SNESSolve()`
32: to determine if it has converged. Otherwise the solution may be inaccurate or wrong
34: .seealso: [](ch_snes), `SNES`, `SNESGetErrorIfNotConverged()`, `KSPGetErrorIfNotConverged()`, `KSPSetErrorIfNotConverged()`
35: @*/
36: PetscErrorCode SNESSetErrorIfNotConverged(SNES snes, PetscBool flg)
37: {
38: PetscFunctionBegin;
41: snes->errorifnotconverged = flg;
42: PetscFunctionReturn(PETSC_SUCCESS);
43: }
45: /*@
46: SNESGetErrorIfNotConverged - Indicates if `SNESSolve()` will generate an error if the solver does not converge?
48: Not Collective
50: Input Parameter:
51: . snes - iterative context obtained from `SNESCreate()`
53: Output Parameter:
54: . flag - `PETSC_TRUE` if it will generate an error, else `PETSC_FALSE`
56: Level: intermediate
58: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetErrorIfNotConverged()`, `KSPGetErrorIfNotConverged()`, `KSPSetErrorIfNotConverged()`
59: @*/
60: PetscErrorCode SNESGetErrorIfNotConverged(SNES snes, PetscBool *flag)
61: {
62: PetscFunctionBegin;
64: PetscAssertPointer(flag, 2);
65: *flag = snes->errorifnotconverged;
66: PetscFunctionReturn(PETSC_SUCCESS);
67: }
69: /*@
70: SNESSetAlwaysComputesFinalResidual - tells the `SNES` to always compute the residual (nonlinear function value) at the final solution
72: Logically Collective
74: Input Parameters:
75: + snes - the shell `SNES`
76: - flg - `PETSC_TRUE` to always compute the residual
78: Level: advanced
80: Note:
81: Some solvers (such as smoothers in a `SNESFAS`) do not need the residual computed at the final solution so skip computing it
82: to save time.
84: .seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSolve()`, `SNESGetAlwaysComputesFinalResidual()`
85: @*/
86: PetscErrorCode SNESSetAlwaysComputesFinalResidual(SNES snes, PetscBool flg)
87: {
88: PetscFunctionBegin;
90: snes->alwayscomputesfinalresidual = flg;
91: PetscFunctionReturn(PETSC_SUCCESS);
92: }
94: /*@
95: SNESGetAlwaysComputesFinalResidual - checks if the `SNES` always computes the residual at the final solution
97: Logically Collective
99: Input Parameter:
100: . snes - the `SNES` context
102: Output Parameter:
103: . flg - `PETSC_TRUE` if the residual is computed
105: Level: advanced
107: .seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSolve()`, `SNESSetAlwaysComputesFinalResidual()`
108: @*/
109: PetscErrorCode SNESGetAlwaysComputesFinalResidual(SNES snes, PetscBool *flg)
110: {
111: PetscFunctionBegin;
113: *flg = snes->alwayscomputesfinalresidual;
114: PetscFunctionReturn(PETSC_SUCCESS);
115: }
117: /*@
118: SNESSetFunctionDomainError - tells `SNES` that the input vector, a proposed new solution, to your function you provided to `SNESSetFunction()` is not
119: in the function's domain. For example, a step with negative pressure.
121: Not Collective
123: Input Parameter:
124: . snes - the `SNES` context
126: Level: advanced
128: Notes:
129: This does not need to be called by all processes in the `SNES` MPI communicator.
131: A few solvers will try to cut the step size to avoid the domain error but for other solvers `SNESSolve()` stops iterating and
132: returns with a `SNESConvergedReason` of `SNES_DIVERGED_FUNCTION_DOMAIN`
134: You can direct `SNES` to avoid certain steps by using `SNESVISetVariableBounds()`, `SNESVISetComputeVariableBounds()` or
135: `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`
137: You should always call `SNESGetConvergedReason()` after each `SNESSolve()` and verify if the iteration converged (positive result) or diverged (negative result).
139: You can call `SNESSetJacobianDomainError()` during a Jacobian computation to indicate the proposed solution is not in the domain.
141: Developer Note:
142: This value is used by `SNESCheckFunctionDomainError()` to determine if the `SNESConvergedReason` is set to `SNES_DIVERGED_FUNCTION_DOMAIN`
144: .seealso: [](ch_snes), `SNESCreate()`, `SNESSetFunction()`, `SNESFunctionFn`, `SNESSetJacobianDomainError()`, `SNESVISetVariableBounds()`,
145: `SNESVISetComputeVariableBounds()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESConvergedReason`, `SNESGetConvergedReason()`,
146: `SNES_DIVERGED_FUNCTION_DOMAIN`, `SNESSetObjectiveDomainError()`, `SNES_DIVERGED_OBJECTIVE_DOMAIN`
147: @*/
148: PetscErrorCode SNESSetFunctionDomainError(SNES snes)
149: {
150: PetscFunctionBegin;
152: snes->functiondomainerror = PETSC_TRUE;
153: PetscFunctionReturn(PETSC_SUCCESS);
154: }
156: /*@
157: SNESSetObjectiveDomainError - tells `SNES` that the input vector, a proposed new solution, to your function you provided to `SNESSetObjective()` is not
158: in the function's domain. For example, a step with negative pressure.
160: Not Collective
162: Input Parameter:
163: . snes - the `SNES` context
165: Level: advanced
167: Notes:
168: This does not need to be called by all processes in the `SNES` MPI communicator.
170: A few solvers will try to cut the step size to avoid the domain error but for other solvers `SNESSolve()` stops iterating and
171: returns with a `SNESConvergedReason` of `SNES_DIVERGED_OBJECTIVE_DOMAIN`
173: You can direct `SNES` to avoid certain steps by using `SNESVISetVariableBounds()`, `SNESVISetComputeVariableBounds()` or
174: `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`
176: You should always call `SNESGetConvergedReason()` after each `SNESSolve()` and verify if the iteration converged (positive result) or diverged (negative result).
178: You can call `SNESSetJacobianDomainError()` during a Jacobian computation to indicate the proposed solution is not in the domain.
180: Developer Note:
181: This value is used by `SNESCheckObjectiveDomainError()` to determine if the `SNESConvergedReason` is set to `SNES_DIVERGED_OBJECTIVE_DOMAIN`
183: .seealso: [](ch_snes), `SNESCreate()`, `SNESSetFunction()`, `SNESFunctionFn`, `SNESSetJacobianDomainError()`, `SNESVISetVariableBounds()`,
184: `SNESVISetComputeVariableBounds()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESConvergedReason`, `SNESGetConvergedReason()`,
185: `SNES_DIVERGED_OBJECTIVE_DOMAIN`, `SNESSetFunctionDomainError()`, `SNES_DIVERGED_FUNCTION_DOMAIN`
186: @*/
187: PetscErrorCode SNESSetObjectiveDomainError(SNES snes)
188: {
189: PetscFunctionBegin;
191: snes->objectivedomainerror = PETSC_TRUE;
192: PetscFunctionReturn(PETSC_SUCCESS);
193: }
195: /*@
196: SNESSetJacobianDomainError - tells `SNES` that the function you provided to `SNESSetJacobian()` at the proposed step. For example there is a negative element transformation.
198: Logically Collective
200: Input Parameter:
201: . snes - the `SNES` context
203: Level: advanced
205: Notes:
206: If this is called the `SNESSolve()` stops iterating and returns with a `SNESConvergedReason` of `SNES_DIVERGED_JACOBIAN_DOMAIN`
208: You should always call `SNESGetConvergedReason()` after each `SNESSolve()` and verify if the iteration converged (positive result) or diverged (negative result).
210: You can direct `SNES` to avoid certain steps by using `SNESVISetVariableBounds()`, `SNESVISetComputeVariableBounds()` or
211: `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`
213: .seealso: [](ch_snes), `SNESCreate()`, `SNESSetFunction()`, `SNESFunctionFn`, `SNESSetFunctionDomainError()`, `SNESVISetVariableBounds()`,
214: `SNESVISetComputeVariableBounds()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESConvergedReason`, `SNESGetConvergedReason()`
215: @*/
216: PetscErrorCode SNESSetJacobianDomainError(SNES snes)
217: {
218: PetscFunctionBegin;
220: PetscCheck(!snes->errorifnotconverged, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "User code indicates computeJacobian does not make sense");
221: snes->jacobiandomainerror = PETSC_TRUE;
222: PetscFunctionReturn(PETSC_SUCCESS);
223: }
225: /*@
226: SNESSetCheckJacobianDomainError - tells `SNESSolve()` whether to check if the user called `SNESSetJacobianDomainError()` to indicate a Jacobian domain error after
227: each Jacobian evaluation.
229: Logically Collective
231: Input Parameters:
232: + snes - the `SNES` context
233: - flg - indicates if or not to check Jacobian domain error after each Jacobian evaluation
235: Level: advanced
237: Notes:
238: By default, it checks for the Jacobian domain error in the debug mode, and does not check it in the optimized mode.
240: Checks require one extra parallel synchronization for each Jacobian evaluation
242: .seealso: [](ch_snes), `SNES`, `SNESConvergedReason`, `SNESCreate()`, `SNESSetFunction()`, `SNESFunctionFn`, `SNESSetFunctionDomainError()`, `SNESGetCheckJacobianDomainError()`
243: @*/
244: PetscErrorCode SNESSetCheckJacobianDomainError(SNES snes, PetscBool flg)
245: {
246: PetscFunctionBegin;
248: snes->checkjacdomainerror = flg;
249: PetscFunctionReturn(PETSC_SUCCESS);
250: }
252: /*@
253: SNESGetCheckJacobianDomainError - Get an indicator whether or not `SNES` is checking Jacobian domain errors after each Jacobian evaluation.
255: Logically Collective
257: Input Parameter:
258: . snes - the `SNES` context
260: Output Parameter:
261: . flg - `PETSC_FALSE` indicates that it is not checking Jacobian domain errors after each Jacobian evaluation
263: Level: advanced
265: .seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSetFunction()`, `SNESFunctionFn`, `SNESSetFunctionDomainError()`, `SNESSetCheckJacobianDomainError()`
266: @*/
267: PetscErrorCode SNESGetCheckJacobianDomainError(SNES snes, PetscBool *flg)
268: {
269: PetscFunctionBegin;
271: PetscAssertPointer(flg, 2);
272: *flg = snes->checkjacdomainerror;
273: PetscFunctionReturn(PETSC_SUCCESS);
274: }
276: /*@
277: SNESLoad - Loads a `SNES` that has been stored in `PETSCVIEWERBINARY` with `SNESView()`.
279: Collective
281: Input Parameters:
282: + snes - the newly loaded `SNES`, this needs to have been created with `SNESCreate()` or
283: some related function before a call to `SNESLoad()`.
284: - viewer - binary file viewer, obtained from `PetscViewerBinaryOpen()`
286: Level: intermediate
288: Note:
289: The `SNESType` is determined by the data in the file, any type set into the `SNES` before this call is ignored.
291: .seealso: [](ch_snes), `SNES`, `PetscViewer`, `SNESCreate()`, `SNESType`, `PetscViewerBinaryOpen()`, `SNESView()`, `MatLoad()`, `VecLoad()`
292: @*/
293: PetscErrorCode SNESLoad(SNES snes, PetscViewer viewer)
294: {
295: PetscBool isbinary;
296: PetscInt classid;
297: char type[256];
298: KSP ksp;
299: DM dm;
300: DMSNES dmsnes;
302: PetscFunctionBegin;
305: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
306: PetscCheck(isbinary, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid viewer; open viewer with PetscViewerBinaryOpen()");
308: PetscCall(PetscViewerBinaryRead(viewer, &classid, 1, NULL, PETSC_INT));
309: PetscCheck(classid == SNES_FILE_CLASSID, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONG, "Not SNES next in file");
310: PetscCall(PetscViewerBinaryRead(viewer, type, 256, NULL, PETSC_CHAR));
311: PetscCall(SNESSetType(snes, type));
312: PetscTryTypeMethod(snes, load, viewer);
313: PetscCall(SNESGetDM(snes, &dm));
314: PetscCall(DMGetDMSNES(dm, &dmsnes));
315: PetscCall(DMSNESLoad(dmsnes, viewer));
316: PetscCall(SNESGetKSP(snes, &ksp));
317: PetscCall(KSPLoad(ksp, viewer));
318: PetscFunctionReturn(PETSC_SUCCESS);
319: }
321: #include <petscdraw.h>
322: #if defined(PETSC_HAVE_SAWS)
323: #include <petscviewersaws.h>
324: #endif
326: /*@
327: SNESViewFromOptions - View a `SNES` based on values in the options database
329: Collective
331: Input Parameters:
332: + A - the `SNES` context
333: . obj - Optional object that provides the options prefix for the checks
334: - name - command line option
336: Options Database Key:
337: . -name [viewertype][:...] - option name and values. See `PetscObjectViewFromOptions()` for the possible arguments
339: Level: intermediate
341: .seealso: [](ch_snes), `SNES`, `SNESView`, `PetscObjectViewFromOptions()`, `SNESCreate()`
342: @*/
343: PetscErrorCode SNESViewFromOptions(SNES A, PetscObject obj, const char name[])
344: {
345: PetscFunctionBegin;
347: PetscCall(PetscObjectViewFromOptions((PetscObject)A, obj, name));
348: PetscFunctionReturn(PETSC_SUCCESS);
349: }
351: PETSC_EXTERN PetscErrorCode SNESComputeJacobian_DMDA(SNES, Vec, Mat, Mat, void *);
353: /*@
354: SNESView - Prints or visualizes the `SNES` data structure.
356: Collective
358: Input Parameters:
359: + snes - the `SNES` context
360: - viewer - the `PetscViewer`
362: Options Database Key:
363: . -snes_view - Calls `SNESView()` at end of `SNESSolve()`
365: Level: beginner
367: Notes:
368: The available visualization contexts include
369: + `PETSC_VIEWER_STDOUT_SELF` - standard output (default)
370: - `PETSC_VIEWER_STDOUT_WORLD` - synchronized standard
371: output where only the first processor opens
372: the file. All other processors send their
373: data to the first processor to print.
375: The available formats include
376: + `PETSC_VIEWER_DEFAULT` - standard output (default)
377: - `PETSC_VIEWER_ASCII_INFO_DETAIL` - more verbose output for `SNESNASM`
379: The user can open an alternative visualization context with
380: `PetscViewerASCIIOpen()` - output to a specified file.
382: In the debugger you can do "call `SNESView`(snes,0)" to display the `SNES` solver. (The same holds for any PETSc object viewer).
384: .seealso: [](ch_snes), `SNES`, `SNESLoad()`, `SNESCreate()`, `PetscViewerASCIIOpen()`
385: @*/
386: PetscErrorCode SNESView(SNES snes, PetscViewer viewer)
387: {
388: SNESKSPEW *kctx;
389: KSP ksp;
390: Vec u;
391: SNESLineSearch linesearch;
392: PetscBool isascii, isstring, isbinary, isdraw;
393: DMSNES dmsnes;
394: #if defined(PETSC_HAVE_SAWS)
395: PetscBool issaws;
396: #endif
398: PetscFunctionBegin;
400: if (!viewer) PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &viewer));
402: PetscCheckSameComm(snes, 1, viewer, 2);
404: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isascii));
405: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
406: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
407: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw));
408: #if defined(PETSC_HAVE_SAWS)
409: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSAWS, &issaws));
410: #endif
411: if (isascii) {
412: SNESNormSchedule normschedule;
413: DM dm;
414: SNESJacobianFn *cJ;
415: void *ctx;
416: const char *pre = "";
418: PetscCall(PetscObjectPrintClassNamePrefixType((PetscObject)snes, viewer));
419: if (!snes->setupcalled) PetscCall(PetscViewerASCIIPrintf(viewer, " SNES has not been set up so information may be incomplete\n"));
420: if (snes->ops->view) {
421: PetscCall(PetscViewerASCIIPushTab(viewer));
422: PetscUseTypeMethod(snes, view, viewer);
423: PetscCall(PetscViewerASCIIPopTab(viewer));
424: }
425: if (snes->max_funcs == PETSC_UNLIMITED) {
426: PetscCall(PetscViewerASCIIPrintf(viewer, " maximum iterations=%" PetscInt_FMT ", maximum function evaluations=unlimited\n", snes->max_its));
427: } else {
428: PetscCall(PetscViewerASCIIPrintf(viewer, " maximum iterations=%" PetscInt_FMT ", maximum function evaluations=%" PetscInt_FMT "\n", snes->max_its, snes->max_funcs));
429: }
430: PetscCall(PetscViewerASCIIPrintf(viewer, " tolerances: relative=%g, absolute=%g, solution=%g\n", (double)snes->rtol, (double)snes->abstol, (double)snes->stol));
431: if (snes->usesksp) PetscCall(PetscViewerASCIIPrintf(viewer, " total number of linear solver iterations=%" PetscInt_FMT "\n", snes->linear_its));
432: PetscCall(PetscViewerASCIIPrintf(viewer, " total number of function evaluations=%" PetscInt_FMT "\n", snes->nfuncs));
433: PetscCall(SNESGetNormSchedule(snes, &normschedule));
434: if (normschedule > 0) PetscCall(PetscViewerASCIIPrintf(viewer, " norm schedule %s\n", SNESNormSchedules[normschedule]));
435: if (snes->gridsequence) PetscCall(PetscViewerASCIIPrintf(viewer, " total number of grid sequence refinements=%" PetscInt_FMT "\n", snes->gridsequence));
436: if (snes->ksp_ewconv) {
437: kctx = (SNESKSPEW *)snes->kspconvctx;
438: if (kctx) {
439: PetscCall(PetscViewerASCIIPrintf(viewer, " Eisenstat-Walker computation of KSP relative tolerance (version %" PetscInt_FMT ")\n", kctx->version));
440: PetscCall(PetscViewerASCIIPrintf(viewer, " rtol_0=%g, rtol_max=%g, threshold=%g\n", (double)kctx->rtol_0, (double)kctx->rtol_max, (double)kctx->threshold));
441: PetscCall(PetscViewerASCIIPrintf(viewer, " gamma=%g, alpha=%g, alpha2=%g\n", (double)kctx->gamma, (double)kctx->alpha, (double)kctx->alpha2));
442: }
443: }
444: if (snes->lagpreconditioner == -1) {
445: PetscCall(PetscViewerASCIIPrintf(viewer, " Preconditioned is never rebuilt\n"));
446: } else if (snes->lagpreconditioner > 1) {
447: PetscCall(PetscViewerASCIIPrintf(viewer, " Preconditioned is rebuilt every %" PetscInt_FMT " new Jacobians\n", snes->lagpreconditioner));
448: }
449: if (snes->lagjacobian == -1) {
450: PetscCall(PetscViewerASCIIPrintf(viewer, " Jacobian is never rebuilt\n"));
451: } else if (snes->lagjacobian > 1) {
452: PetscCall(PetscViewerASCIIPrintf(viewer, " Jacobian is rebuilt every %" PetscInt_FMT " SNES iterations\n", snes->lagjacobian));
453: }
454: PetscCall(SNESGetDM(snes, &dm));
455: PetscCall(DMSNESGetJacobian(dm, &cJ, &ctx));
456: if (snes->mf_operator) {
457: PetscCall(PetscViewerASCIIPrintf(viewer, " Jacobian is applied matrix-free with differencing\n"));
458: pre = "Preconditioning ";
459: }
460: if (cJ == SNESComputeJacobianDefault) {
461: PetscCall(PetscViewerASCIIPrintf(viewer, " %sJacobian is built using finite differences one column at a time\n", pre));
462: } else if (cJ == SNESComputeJacobianDefaultColor) {
463: PetscCall(PetscViewerASCIIPrintf(viewer, " %sJacobian is built using finite differences with coloring\n", pre));
464: /* it slightly breaks data encapsulation for access the DMDA information directly */
465: } else if (cJ == SNESComputeJacobian_DMDA) {
466: MatFDColoring fdcoloring;
467: PetscCall(PetscObjectQuery((PetscObject)dm, "DMDASNES_FDCOLORING", (PetscObject *)&fdcoloring));
468: if (fdcoloring) {
469: PetscCall(PetscViewerASCIIPrintf(viewer, " %sJacobian is built using colored finite differences on a DMDA\n", pre));
470: } else {
471: PetscCall(PetscViewerASCIIPrintf(viewer, " %sJacobian is built using a DMDA local Jacobian\n", pre));
472: }
473: } else if (snes->mf && !snes->mf_operator) {
474: PetscCall(PetscViewerASCIIPrintf(viewer, " Jacobian is applied matrix-free with differencing, no explicit Jacobian\n"));
475: }
476: } else if (isstring) {
477: const char *type;
478: PetscCall(SNESGetType(snes, &type));
479: PetscCall(PetscViewerStringSPrintf(viewer, " SNESType: %-7.7s", type));
480: PetscTryTypeMethod(snes, view, viewer);
481: } else if (isbinary) {
482: PetscInt classid = SNES_FILE_CLASSID;
483: MPI_Comm comm;
484: PetscMPIInt rank;
485: char type[256];
487: PetscCall(PetscObjectGetComm((PetscObject)snes, &comm));
488: PetscCallMPI(MPI_Comm_rank(comm, &rank));
489: if (rank == 0) {
490: PetscCall(PetscViewerBinaryWrite(viewer, &classid, 1, PETSC_INT));
491: PetscCall(PetscStrncpy(type, ((PetscObject)snes)->type_name, sizeof(type)));
492: PetscCall(PetscViewerBinaryWrite(viewer, type, sizeof(type), PETSC_CHAR));
493: }
494: PetscTryTypeMethod(snes, view, viewer);
495: } else if (isdraw) {
496: PetscDraw draw;
497: char str[36];
498: PetscReal x, y, bottom, h;
500: PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
501: PetscCall(PetscDrawGetCurrentPoint(draw, &x, &y));
502: PetscCall(PetscStrncpy(str, "SNES: ", sizeof(str)));
503: PetscCall(PetscStrlcat(str, ((PetscObject)snes)->type_name, sizeof(str)));
504: PetscCall(PetscDrawStringBoxed(draw, x, y, PETSC_DRAW_BLUE, PETSC_DRAW_BLACK, str, NULL, &h));
505: bottom = y - h;
506: PetscCall(PetscDrawPushCurrentPoint(draw, x, bottom));
507: PetscTryTypeMethod(snes, view, viewer);
508: #if defined(PETSC_HAVE_SAWS)
509: } else if (issaws) {
510: PetscMPIInt rank;
511: const char *name;
513: PetscCall(PetscObjectGetName((PetscObject)snes, &name));
514: PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
515: if (!((PetscObject)snes)->amsmem && rank == 0) {
516: char dir[1024];
518: PetscCall(PetscObjectViewSAWs((PetscObject)snes, viewer));
519: PetscCall(PetscSNPrintf(dir, 1024, "/PETSc/Objects/%s/its", name));
520: PetscCallSAWs(SAWs_Register, (dir, &snes->iter, 1, SAWs_READ, SAWs_INT));
521: if (!snes->conv_hist) PetscCall(SNESSetConvergenceHistory(snes, NULL, NULL, PETSC_DECIDE, PETSC_TRUE));
522: PetscCall(PetscSNPrintf(dir, 1024, "/PETSc/Objects/%s/conv_hist", name));
523: PetscCallSAWs(SAWs_Register, (dir, snes->conv_hist, 10, SAWs_READ, SAWs_DOUBLE));
524: }
525: #endif
526: }
527: if (snes->linesearch) {
528: PetscCall(SNESGetLineSearch(snes, &linesearch));
529: PetscCall(PetscViewerASCIIPushTab(viewer));
530: PetscCall(SNESLineSearchView(linesearch, viewer));
531: PetscCall(PetscViewerASCIIPopTab(viewer));
532: }
533: if (snes->npc && snes->usesnpc) {
534: PetscCall(PetscViewerASCIIPushTab(viewer));
535: PetscCall(SNESView(snes->npc, viewer));
536: PetscCall(PetscViewerASCIIPopTab(viewer));
537: }
538: PetscCall(PetscViewerASCIIPushTab(viewer));
539: PetscCall(DMGetDMSNES(snes->dm, &dmsnes));
540: PetscCall(DMSNESView(dmsnes, viewer));
541: PetscCall(PetscViewerASCIIPopTab(viewer));
542: if (snes->usesksp) {
543: PetscCall(SNESGetKSP(snes, &ksp));
544: PetscCall(PetscViewerASCIIPushTab(viewer));
545: PetscCall(KSPView(ksp, viewer));
546: PetscCall(PetscViewerASCIIPopTab(viewer));
547: } else {
548: PetscViewerFormat format;
550: PetscCall(SNESGetSolution(snes, &u));
551: PetscCall(PetscViewerGetFormat(viewer, &format));
552: if (u && isascii) {
553: if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) PetscCall(PetscViewerPushFormat(viewer, PETSC_VIEWER_ASCII_INFO));
554: PetscCall(PetscViewerASCIIPrintf(viewer, "solution vector:\n"));
555: PetscCall(PetscViewerASCIIPushTab(viewer));
556: PetscCall(VecView(u, viewer));
557: PetscCall(PetscViewerASCIIPopTab(viewer));
558: if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) PetscCall(PetscViewerPopFormat(viewer));
559: }
560: }
561: if (isdraw) {
562: PetscDraw draw;
563: PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
564: PetscCall(PetscDrawPopCurrentPoint(draw));
565: }
566: PetscFunctionReturn(PETSC_SUCCESS);
567: }
569: /*
570: We retain a list of functions that also take SNES command
571: line options. These are called at the end SNESSetFromOptions()
572: */
573: #define MAXSETFROMOPTIONS 5
574: static PetscInt numberofsetfromoptions;
575: static PetscErrorCode (*othersetfromoptions[MAXSETFROMOPTIONS])(SNES);
577: /*@C
578: SNESAddOptionsChecker - Adds an additional function to check for `SNES` options.
580: Not Collective
582: Input Parameter:
583: . snescheck - function that checks for options
585: Calling sequence of `snescheck`:
586: . snes - the `SNES` object for which it is checking options
588: Level: developer
590: .seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`
591: @*/
592: PetscErrorCode SNESAddOptionsChecker(PetscErrorCode (*snescheck)(SNES snes))
593: {
594: PetscFunctionBegin;
595: PetscCheck(numberofsetfromoptions < MAXSETFROMOPTIONS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many options checkers, only %d allowed", MAXSETFROMOPTIONS);
596: othersetfromoptions[numberofsetfromoptions++] = snescheck;
597: PetscFunctionReturn(PETSC_SUCCESS);
598: }
600: static PetscErrorCode SNESSetUpMatrixFree_Private(SNES snes, PetscBool hasOperator, PetscInt version)
601: {
602: Mat J;
603: MatNullSpace nullsp;
605: PetscFunctionBegin;
608: if (!snes->vec_func && (snes->jacobian || snes->jacobian_pre)) {
609: Mat A = snes->jacobian, B = snes->jacobian_pre;
610: PetscCall(MatCreateVecs(A ? A : B, NULL, &snes->vec_func));
611: }
613: PetscCheck(version == 1 || version == 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "matrix-free operator routines, only version 1 and 2");
614: if (version == 1) {
615: PetscCall(MatCreateSNESMF(snes, &J));
616: PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
617: PetscCall(MatSetFromOptions(J));
618: /* TODO: the version 2 code should be merged into the MatCreateSNESMF() and MatCreateMFFD() infrastructure and then removed */
619: } else /* if (version == 2) */ {
620: PetscCheck(snes->vec_func, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "SNESSetFunction() must be called first");
621: #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
622: PetscCall(MatCreateSNESMFMore(snes, snes->vec_func, &J));
623: #else
624: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "matrix-free operator routines (version 2)");
625: #endif
626: }
628: /* attach any user provided null space that was on Amat to the newly created matrix-free matrix */
629: if (snes->jacobian) {
630: PetscCall(MatGetNullSpace(snes->jacobian, &nullsp));
631: if (nullsp) PetscCall(MatSetNullSpace(J, nullsp));
632: }
634: PetscCall(PetscInfo(snes, "Setting default matrix-free operator routines (version %" PetscInt_FMT ")\n", version));
635: if (hasOperator) {
636: /* This version replaces the user provided Jacobian matrix with a
637: matrix-free version but still employs the user-provided matrix used for computing the preconditioner. */
638: PetscCall(SNESSetJacobian(snes, J, NULL, NULL, NULL));
639: } else {
640: /* This version replaces both the user-provided Jacobian and the user-
641: provided preconditioner Jacobian with the default matrix-free version. */
642: if (snes->npcside == PC_LEFT && snes->npc) {
643: if (!snes->jacobian) PetscCall(SNESSetJacobian(snes, J, NULL, NULL, NULL));
644: } else {
645: KSP ksp;
646: PC pc;
647: PetscBool match;
649: PetscCall(SNESSetJacobian(snes, J, J, MatMFFDComputeJacobian, NULL));
650: /* Force no preconditioner */
651: PetscCall(SNESGetKSP(snes, &ksp));
652: PetscCall(KSPGetPC(ksp, &pc));
653: PetscCall(PetscObjectTypeCompareAny((PetscObject)pc, &match, PCSHELL, PCH2OPUS, ""));
654: if (!match) {
655: PetscCall(PetscInfo(snes, "Setting default matrix-free preconditioner routines\nThat is no preconditioner is being used\n"));
656: PetscCall(PCSetType(pc, PCNONE));
657: }
658: }
659: }
660: PetscCall(MatDestroy(&J));
661: PetscFunctionReturn(PETSC_SUCCESS);
662: }
664: static PetscErrorCode DMRestrictHook_SNESVecSol(DM dmfine, Mat Restrict, Vec Rscale, Mat Inject, DM dmcoarse, PetscCtx ctx)
665: {
666: SNES snes = (SNES)ctx;
667: Vec Xfine, Xfine_named = NULL, Xcoarse;
669: PetscFunctionBegin;
670: if (PetscLogPrintInfo) {
671: PetscInt finelevel, coarselevel, fineclevel, coarseclevel;
672: PetscCall(DMGetRefineLevel(dmfine, &finelevel));
673: PetscCall(DMGetCoarsenLevel(dmfine, &fineclevel));
674: PetscCall(DMGetRefineLevel(dmcoarse, &coarselevel));
675: PetscCall(DMGetCoarsenLevel(dmcoarse, &coarseclevel));
676: PetscCall(PetscInfo(dmfine, "Restricting SNES solution vector from level %" PetscInt_FMT "-%" PetscInt_FMT " to level %" PetscInt_FMT "-%" PetscInt_FMT "\n", finelevel, fineclevel, coarselevel, coarseclevel));
677: }
678: if (dmfine == snes->dm) Xfine = snes->vec_sol;
679: else {
680: PetscCall(DMGetNamedGlobalVector(dmfine, "SNESVecSol", &Xfine_named));
681: Xfine = Xfine_named;
682: }
683: PetscCall(DMGetNamedGlobalVector(dmcoarse, "SNESVecSol", &Xcoarse));
684: if (Inject) {
685: PetscCall(MatRestrict(Inject, Xfine, Xcoarse));
686: } else {
687: PetscCall(MatRestrict(Restrict, Xfine, Xcoarse));
688: PetscCall(VecPointwiseMult(Xcoarse, Xcoarse, Rscale));
689: }
690: PetscCall(DMRestoreNamedGlobalVector(dmcoarse, "SNESVecSol", &Xcoarse));
691: if (Xfine_named) PetscCall(DMRestoreNamedGlobalVector(dmfine, "SNESVecSol", &Xfine_named));
692: PetscFunctionReturn(PETSC_SUCCESS);
693: }
695: static PetscErrorCode DMCoarsenHook_SNESVecSol(DM dm, DM dmc, PetscCtx ctx)
696: {
697: PetscFunctionBegin;
698: PetscCall(DMCoarsenHookAdd(dmc, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, ctx));
699: PetscFunctionReturn(PETSC_SUCCESS);
700: }
702: /* This may be called to rediscretize the operator on levels of linear multigrid. The DM shuffle is so the user can
703: * safely call SNESGetDM() in their residual evaluation routine. */
704: static PetscErrorCode KSPComputeOperators_SNES(KSP ksp, Mat A, Mat B, PetscCtx ctx)
705: {
706: SNES snes = (SNES)ctx;
707: DMSNES sdm;
708: Vec X, Xnamed = NULL;
709: DM dmsave;
710: void *ctxsave;
711: SNESJacobianFn *jac = NULL;
713: PetscFunctionBegin;
714: dmsave = snes->dm;
715: PetscCall(KSPGetDM(ksp, &snes->dm));
716: if (dmsave == snes->dm) X = snes->vec_sol; /* We are on the finest level */
717: else {
718: PetscBool has;
720: /* We are on a coarser level, this vec was initialized using a DM restrict hook */
721: PetscCall(DMHasNamedGlobalVector(snes->dm, "SNESVecSol", &has));
722: PetscCheck(has, PetscObjectComm((PetscObject)snes->dm), PETSC_ERR_PLIB, "Missing SNESVecSol");
723: PetscCall(DMGetNamedGlobalVector(snes->dm, "SNESVecSol", &Xnamed));
724: X = Xnamed;
725: PetscCall(SNESGetJacobian(snes, NULL, NULL, &jac, &ctxsave));
726: /* If the DM's don't match up, the MatFDColoring context needed for the jacobian won't match up either -- fixit. */
727: if (jac == SNESComputeJacobianDefaultColor) PetscCall(SNESSetJacobian(snes, NULL, NULL, SNESComputeJacobianDefaultColor, NULL));
728: }
730: /* Compute the operators */
731: PetscCall(DMGetDMSNES(snes->dm, &sdm));
732: if (Xnamed && sdm->ops->computefunction) {
733: /* The SNES contract with the user is that ComputeFunction is always called before ComputeJacobian.
734: We make sure of this here. Disable affine shift since it is for the finest level */
735: Vec F, saverhs = snes->vec_rhs;
737: snes->vec_rhs = NULL;
738: PetscCall(DMGetGlobalVector(snes->dm, &F));
739: PetscCall(SNESComputeFunction(snes, X, F));
740: PetscCall(DMRestoreGlobalVector(snes->dm, &F));
741: snes->vec_rhs = saverhs;
742: snes->nfuncs--; /* Do not log coarser level evaluations */
743: }
744: /* Make sure KSP DM has the Jacobian computation routine */
745: if (!sdm->ops->computejacobian) PetscCall(DMCopyDMSNES(dmsave, snes->dm));
746: PetscCall(SNESComputeJacobian(snes, X, A, B)); /* cannot handle previous SNESSetJacobianDomainError() calls */
748: /* Put the previous context back */
749: if (snes->dm != dmsave && jac == SNESComputeJacobianDefaultColor) PetscCall(SNESSetJacobian(snes, NULL, NULL, jac, ctxsave));
751: if (Xnamed) PetscCall(DMRestoreNamedGlobalVector(snes->dm, "SNESVecSol", &Xnamed));
752: snes->dm = dmsave;
753: PetscFunctionReturn(PETSC_SUCCESS);
754: }
756: /*@
757: SNESSetUpMatrices - ensures that matrices are available for `SNES` Newton-like methods, this is called by `SNESSetUp_XXX()`
759: Collective
761: Input Parameter:
762: . snes - `SNES` object to configure
764: Level: developer
766: Note:
767: If the matrices do not yet exist it attempts to create them based on options previously set for the `SNES` such as `-snes_mf`
769: Developer Note:
770: The functionality of this routine overlaps in a confusing way with the functionality of `SNESSetUpMatrixFree_Private()` which is called by
771: `SNESSetUp()` but sometimes `SNESSetUpMatrices()` is called without `SNESSetUp()` being called. A refactorization to simplify the
772: logic that handles the matrix-free case is desirable.
774: .seealso: [](ch_snes), `SNES`, `SNESSetUp()`
775: @*/
776: PetscErrorCode SNESSetUpMatrices(SNES snes)
777: {
778: DM dm;
779: DMSNES sdm;
781: PetscFunctionBegin;
782: PetscCall(SNESGetDM(snes, &dm));
783: PetscCall(DMGetDMSNES(dm, &sdm));
784: if (!snes->jacobian && snes->mf && !snes->mf_operator && !snes->jacobian_pre) {
785: Mat J;
786: void *functx;
787: PetscCall(MatCreateSNESMF(snes, &J));
788: PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
789: PetscCall(MatSetFromOptions(J));
790: PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
791: PetscCall(SNESSetJacobian(snes, J, J, NULL, NULL));
792: PetscCall(MatDestroy(&J));
793: } else if (snes->mf_operator && !snes->jacobian_pre && !snes->jacobian) {
794: Mat J, B;
795: PetscCall(MatCreateSNESMF(snes, &J));
796: PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
797: PetscCall(MatSetFromOptions(J));
798: PetscCall(DMCreateMatrix(snes->dm, &B));
799: /* sdm->computejacobian was already set to reach here */
800: PetscCall(SNESSetJacobian(snes, J, B, NULL, NULL));
801: PetscCall(MatDestroy(&J));
802: PetscCall(MatDestroy(&B));
803: } else if (!snes->jacobian_pre) {
804: PetscDS prob;
805: Mat J, B;
806: PetscBool hasPrec = PETSC_FALSE;
808: J = snes->jacobian;
809: PetscCall(DMGetDS(dm, &prob));
810: if (prob) PetscCall(PetscDSHasJacobianPreconditioner(prob, &hasPrec));
811: if (!J && hasPrec) PetscCall(DMCreateMatrix(snes->dm, &J));
812: else PetscCall(PetscObjectReference((PetscObject)J));
813: PetscCall(DMCreateMatrix(snes->dm, &B));
814: PetscCall(SNESSetJacobian(snes, J ? J : B, B, NULL, NULL));
815: PetscCall(MatDestroy(&J));
816: PetscCall(MatDestroy(&B));
817: }
818: {
819: KSP ksp;
820: PetscCall(SNESGetKSP(snes, &ksp));
821: PetscCall(KSPSetComputeOperators(ksp, KSPComputeOperators_SNES, snes));
822: PetscCall(DMCoarsenHookAdd(snes->dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, snes));
823: }
824: PetscFunctionReturn(PETSC_SUCCESS);
825: }
827: PETSC_SINGLE_LIBRARY_INTERN PetscErrorCode PetscMonitorPauseFinal_Internal(PetscInt, PetscCtx);
829: static PetscErrorCode SNESMonitorPauseFinal_Internal(SNES snes)
830: {
831: PetscFunctionBegin;
832: if (!snes->pauseFinal) PetscFunctionReturn(PETSC_SUCCESS);
833: PetscCall(PetscMonitorPauseFinal_Internal(snes->numbermonitors, snes->monitorcontext));
834: PetscFunctionReturn(PETSC_SUCCESS);
835: }
837: /*@C
838: SNESMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type indicated by the user
840: Collective
842: Input Parameters:
843: + snes - `SNES` object you wish to monitor
844: . name - the monitor type one is seeking
845: . help - message indicating what monitoring is done
846: . manual - manual page for the monitor
847: . monitor - the monitor function, this must use a `PetscViewerFormat` as its context
848: - monitorsetup - a function that is called once ONLY if the user selected this monitor that may set additional features of the `SNES` or `PetscViewer` objects
850: Calling sequence of `monitor`:
851: + snes - the nonlinear solver context
852: . it - the current iteration
853: . r - the current function norm
854: - vf - a `PetscViewerAndFormat` struct that contains the `PetscViewer` and `PetscViewerFormat` to use
856: Calling sequence of `monitorsetup`:
857: + snes - the nonlinear solver context
858: - vf - a `PetscViewerAndFormat` struct that contains the `PetscViewer` and `PetscViewerFormat` to use
860: Options Database Key:
861: . -name - trigger the use of this monitor in `SNESSetFromOptions()`
863: Level: advanced
865: .seealso: [](ch_snes), `PetscOptionsCreateViewer()`, `PetscOptionsGetReal()`, `PetscOptionsHasName()`, `PetscOptionsGetString()`,
866: `PetscOptionsGetIntArray()`, `PetscOptionsGetRealArray()`, `PetscOptionsBool()`,
867: `PetscOptionsInt()`, `PetscOptionsString()`, `PetscOptionsReal()`,
868: `PetscOptionsName()`, `PetscOptionsBegin()`, `PetscOptionsEnd()`, `PetscOptionsHeadBegin()`,
869: `PetscOptionsStringArray()`, `PetscOptionsRealArray()`, `PetscOptionsScalar()`,
870: `PetscOptionsBoolGroupBegin()`, `PetscOptionsBoolGroup()`, `PetscOptionsBoolGroupEnd()`,
871: `PetscOptionsFList()`, `PetscOptionsEList()`
872: @*/
873: PetscErrorCode SNESMonitorSetFromOptions(SNES snes, const char name[], const char help[], const char manual[], PetscErrorCode (*monitor)(SNES snes, PetscInt it, PetscReal r, PetscViewerAndFormat *vf), PetscErrorCode (*monitorsetup)(SNES snes, PetscViewerAndFormat *vf))
874: {
875: PetscViewer viewer;
876: PetscViewerFormat format;
877: PetscBool flg;
879: PetscFunctionBegin;
880: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, name, &viewer, &format, &flg));
881: if (flg) {
882: PetscViewerAndFormat *vf;
883: PetscCall(PetscViewerAndFormatCreate(viewer, format, &vf));
884: PetscCall(PetscViewerDestroy(&viewer));
885: if (monitorsetup) PetscCall((*monitorsetup)(snes, vf));
886: PetscCall(SNESMonitorSet(snes, (PetscErrorCode (*)(SNES, PetscInt, PetscReal, PetscCtx))monitor, vf, (PetscCtxDestroyFn *)PetscViewerAndFormatDestroy));
887: }
888: PetscFunctionReturn(PETSC_SUCCESS);
889: }
891: PetscErrorCode SNESEWSetFromOptions_Private(SNESKSPEW *kctx, PetscBool print_api, MPI_Comm comm, const char *prefix)
892: {
893: const char *api = print_api ? "SNESKSPSetParametersEW" : NULL;
895: PetscFunctionBegin;
896: PetscOptionsBegin(comm, prefix, "Eisenstat and Walker type forcing options", "KSP");
897: PetscCall(PetscOptionsInt("-ksp_ew_version", "Version 1, 2 or 3", api, kctx->version, &kctx->version, NULL));
898: PetscCall(PetscOptionsReal("-ksp_ew_rtol0", "0 <= rtol0 < 1", api, kctx->rtol_0, &kctx->rtol_0, NULL));
899: kctx->rtol_max = PetscMax(kctx->rtol_0, kctx->rtol_max);
900: PetscCall(PetscOptionsReal("-ksp_ew_rtolmax", "0 <= rtolmax < 1", api, kctx->rtol_max, &kctx->rtol_max, NULL));
901: PetscCall(PetscOptionsReal("-ksp_ew_gamma", "0 <= gamma <= 1", api, kctx->gamma, &kctx->gamma, NULL));
902: PetscCall(PetscOptionsReal("-ksp_ew_alpha", "1 < alpha <= 2", api, kctx->alpha, &kctx->alpha, NULL));
903: PetscCall(PetscOptionsReal("-ksp_ew_alpha2", "alpha2", NULL, kctx->alpha2, &kctx->alpha2, NULL));
904: PetscCall(PetscOptionsReal("-ksp_ew_threshold", "0 < threshold < 1", api, kctx->threshold, &kctx->threshold, NULL));
905: PetscCall(PetscOptionsReal("-ksp_ew_v4_p1", "p1", NULL, kctx->v4_p1, &kctx->v4_p1, NULL));
906: PetscCall(PetscOptionsReal("-ksp_ew_v4_p2", "p2", NULL, kctx->v4_p2, &kctx->v4_p2, NULL));
907: PetscCall(PetscOptionsReal("-ksp_ew_v4_p3", "p3", NULL, kctx->v4_p3, &kctx->v4_p3, NULL));
908: PetscCall(PetscOptionsReal("-ksp_ew_v4_m1", "Scaling when rk-1 in [p2,p3)", NULL, kctx->v4_m1, &kctx->v4_m1, NULL));
909: PetscCall(PetscOptionsReal("-ksp_ew_v4_m2", "Scaling when rk-1 in [p3,+infty)", NULL, kctx->v4_m2, &kctx->v4_m2, NULL));
910: PetscCall(PetscOptionsReal("-ksp_ew_v4_m3", "Threshold for successive rtol (0.1 in Eq.7)", NULL, kctx->v4_m3, &kctx->v4_m3, NULL));
911: PetscCall(PetscOptionsReal("-ksp_ew_v4_m4", "Adaptation scaling (0.5 in Eq.7)", NULL, kctx->v4_m4, &kctx->v4_m4, NULL));
912: PetscOptionsEnd();
913: PetscFunctionReturn(PETSC_SUCCESS);
914: }
916: /*@
917: SNESSetFromOptions - Sets various `SNES` and `KSP` parameters from user options.
919: Collective
921: Input Parameter:
922: . snes - the `SNES` context
924: Options Database Keys:
925: + -snes_type type - newtonls, newtontr, ngmres, ncg, nrichardson, qn, vi, fas, `SNESType` for complete list
926: . -snes_rtol rtol - relative decrease in tolerance norm from initial
927: . -snes_atol abstol - absolute tolerance of residual norm
928: . -snes_stol stol - convergence tolerance in terms of the norm of the change in the solution between steps
929: . -snes_divergence_tolerance divtol - if the residual goes above divtol*rnorm0, exit with divergence
930: . -snes_max_it max_it - maximum number of iterations
931: . -snes_max_funcs max_funcs - maximum number of function evaluations
932: . -snes_force_iteration force - force `SNESSolve()` to take at least one iteration
933: . -snes_max_fail max_fail - maximum number of line search failures allowed before stopping, default is none
934: . -snes_max_linear_solve_fail - number of linear solver failures before SNESSolve() stops
935: . -snes_lag_preconditioner lag - how often preconditioner is rebuilt (use -1 to never rebuild)
936: . -snes_lag_preconditioner_persists (true|false) - retains the -snes_lag_preconditioner information across multiple SNESSolve()
937: . -snes_lag_jacobian lag - how often Jacobian is rebuilt (use -1 to never rebuild)
938: . -snes_lag_jacobian_persists (true|false) - retains the -snes_lag_jacobian information across multiple SNESSolve()
939: . -snes_convergence_test (default|skip|correct_pressure) - convergence test in nonlinear solver. default `SNESConvergedDefault()`. skip `SNESConvergedSkip()` means continue
940: iterating until max_it or some other criterion is reached, saving expense of convergence test. correct_pressure
941: `SNESConvergedCorrectPressure()` has special handling of a pressure null space.
942: . -snes_monitor [ascii][:filename][:viewer format] - prints residual norm at each iteration. if no filename given prints to stdout
943: . -snes_monitor_solution [ascii binary draw][:filename][:viewer format] - plots solution at each iteration
944: . -snes_monitor_residual [ascii binary draw][:filename][:viewer format] - plots residual (not its norm) at each iteration
945: . -snes_monitor_solution_update [ascii binary draw][:filename][:viewer format] - plots update to solution at each iteration
946: . -snes_monitor draw::draw_lg - plots residual norm at each iteration
947: . -snes_monitor_lg_range - plots function range at each iteration
948: . -snes_monitor_pause_final - Pauses all monitor drawing after the solver ends
949: . -snes_fd - use finite differences to compute Jacobian; very slow, only for testing
950: . -snes_fd_color - use finite differences with coloring to compute Jacobian
951: . -snes_mf_ksp_monitor - if using matrix-free multiply then print h at each `KSP` iteration
952: . -snes_converged_reason - print the reason for convergence/divergence after each solve
953: . -npc_snes_type type - the `SNES` type to use as a nonlinear preconditioner
954: . -snes_test_jacobian [threshold] - compare the user provided Jacobian with one computed via finite differences to check for errors.
955: If a threshold is given, display only those entries whose difference is greater than the threshold.
956: - -snes_test_jacobian_view - display the user provided Jacobian, the finite difference Jacobian and the difference between them
957: to help users detect the location of errors in the user provided Jacobian.
959: Options Database Keys for Eisenstat-Walker method:
960: + -snes_ksp_ew - use Eisenstat-Walker method for determining linear system convergence
961: . -snes_ksp_ew_version ver - version of Eisenstat-Walker method
962: . -snes_ksp_ew_rtol0 rtol0 - Sets rtol0
963: . -snes_ksp_ew_rtolmax rtolmax - Sets rtolmax
964: . -snes_ksp_ew_gamma gamma - Sets gamma
965: . -snes_ksp_ew_alpha alpha - Sets alpha
966: . -snes_ksp_ew_alpha2 alpha2 - Sets alpha2
967: - -snes_ksp_ew_threshold threshold - Sets threshold
969: Level: beginner
971: Notes:
972: To see all options, run your program with the -help option or consult the users manual
974: `SNES` supports three approaches for computing (approximate) Jacobians: user provided via `SNESSetJacobian()`, matrix-free using `MatCreateSNESMF()`,
975: and computing explicitly with
976: finite differences and coloring using `MatFDColoring`. It is also possible to use automatic differentiation and the `MatFDColoring` object.
978: .seealso: [](ch_snes), `SNESType`, `SNESSetOptionsPrefix()`, `SNESResetFromOptions()`, `SNES`, `SNESCreate()`, `MatCreateSNESMF()`, `MatFDColoring`
979: @*/
980: PetscErrorCode SNESSetFromOptions(SNES snes)
981: {
982: PetscBool flg, pcset, persist, set;
983: PetscInt i, indx, lag, grids, max_its, max_funcs;
984: const char *deft = SNESNEWTONLS;
985: const char *convtests[] = {"default", "skip", "correct_pressure"};
986: SNESKSPEW *kctx = NULL;
987: char type[256], monfilename[PETSC_MAX_PATH_LEN], ewprefix[256];
988: PCSide pcside;
989: const char *optionsprefix;
990: PetscReal rtol, abstol, stol;
992: PetscFunctionBegin;
994: PetscCall(SNESRegisterAll());
995: PetscObjectOptionsBegin((PetscObject)snes);
996: if (((PetscObject)snes)->type_name) deft = ((PetscObject)snes)->type_name;
997: PetscCall(PetscOptionsFList("-snes_type", "Nonlinear solver method", "SNESSetType", SNESList, deft, type, 256, &flg));
998: if (flg) PetscCall(SNESSetType(snes, type));
999: else if (!((PetscObject)snes)->type_name) PetscCall(SNESSetType(snes, deft));
1001: abstol = snes->abstol;
1002: rtol = snes->rtol;
1003: stol = snes->stol;
1004: max_its = snes->max_its;
1005: max_funcs = snes->max_funcs;
1006: PetscCall(PetscOptionsReal("-snes_rtol", "Stop if decrease in function norm less than", "SNESSetTolerances", snes->rtol, &rtol, NULL));
1007: PetscCall(PetscOptionsReal("-snes_atol", "Stop if function norm less than", "SNESSetTolerances", snes->abstol, &abstol, NULL));
1008: PetscCall(PetscOptionsReal("-snes_stol", "Stop if step length less than", "SNESSetTolerances", snes->stol, &stol, NULL));
1009: PetscCall(PetscOptionsInt("-snes_max_it", "Maximum iterations", "SNESSetTolerances", snes->max_its, &max_its, NULL));
1010: PetscCall(PetscOptionsInt("-snes_max_funcs", "Maximum function evaluations", "SNESSetTolerances", snes->max_funcs, &max_funcs, NULL));
1011: PetscCall(SNESSetTolerances(snes, abstol, rtol, stol, max_its, max_funcs));
1013: PetscCall(PetscOptionsReal("-snes_divergence_tolerance", "Stop if residual norm increases by this factor", "SNESSetDivergenceTolerance", snes->divtol, &snes->divtol, &flg));
1014: if (flg) PetscCall(SNESSetDivergenceTolerance(snes, snes->divtol));
1016: PetscCall(PetscOptionsInt("-snes_max_fail", "Maximum nonlinear step failures", "SNESSetMaxNonlinearStepFailures", snes->maxFailures, &snes->maxFailures, &flg));
1017: if (flg) PetscCall(SNESSetMaxNonlinearStepFailures(snes, snes->maxFailures));
1019: PetscCall(PetscOptionsInt("-snes_max_linear_solve_fail", "Maximum failures in linear solves allowed", "SNESSetMaxLinearSolveFailures", snes->maxLinearSolveFailures, &snes->maxLinearSolveFailures, &flg));
1020: if (flg) PetscCall(SNESSetMaxLinearSolveFailures(snes, snes->maxLinearSolveFailures));
1022: PetscCall(PetscOptionsBool("-snes_error_if_not_converged", "Generate error if solver does not converge", "SNESSetErrorIfNotConverged", snes->errorifnotconverged, &snes->errorifnotconverged, NULL));
1023: PetscCall(PetscOptionsBool("-snes_force_iteration", "Force SNESSolve() to take at least one iteration", "SNESSetForceIteration", snes->forceiteration, &snes->forceiteration, NULL));
1024: PetscCall(PetscOptionsBool("-snes_check_jacobian_domain_error", "Check Jacobian domain error after Jacobian evaluation", "SNESCheckJacobianDomainError", snes->checkjacdomainerror, &snes->checkjacdomainerror, NULL));
1026: PetscCall(PetscOptionsInt("-snes_lag_preconditioner", "How often to rebuild preconditioner", "SNESSetLagPreconditioner", snes->lagpreconditioner, &lag, &flg));
1027: if (flg) {
1028: PetscCheck(lag != -1, PetscObjectComm((PetscObject)snes), PETSC_ERR_USER, "Cannot set the lag to -1 from the command line since the preconditioner must be built as least once, perhaps you mean -2");
1029: PetscCall(SNESSetLagPreconditioner(snes, lag));
1030: }
1031: PetscCall(PetscOptionsBool("-snes_lag_preconditioner_persists", "Preconditioner lagging through multiple SNES solves", "SNESSetLagPreconditionerPersists", snes->lagjac_persist, &persist, &flg));
1032: if (flg) PetscCall(SNESSetLagPreconditionerPersists(snes, persist));
1033: PetscCall(PetscOptionsInt("-snes_lag_jacobian", "How often to rebuild Jacobian", "SNESSetLagJacobian", snes->lagjacobian, &lag, &flg));
1034: if (flg) {
1035: PetscCheck(lag != -1, PetscObjectComm((PetscObject)snes), PETSC_ERR_USER, "Cannot set the lag to -1 from the command line since the Jacobian must be built as least once, perhaps you mean -2");
1036: PetscCall(SNESSetLagJacobian(snes, lag));
1037: }
1038: PetscCall(PetscOptionsBool("-snes_lag_jacobian_persists", "Jacobian lagging through multiple SNES solves", "SNESSetLagJacobianPersists", snes->lagjac_persist, &persist, &flg));
1039: if (flg) PetscCall(SNESSetLagJacobianPersists(snes, persist));
1041: PetscCall(PetscOptionsInt("-snes_grid_sequence", "Use grid sequencing to generate initial guess", "SNESSetGridSequence", snes->gridsequence, &grids, &flg));
1042: if (flg) PetscCall(SNESSetGridSequence(snes, grids));
1044: PetscCall(PetscOptionsEList("-snes_convergence_test", "Convergence test", "SNESSetConvergenceTest", convtests, PETSC_STATIC_ARRAY_LENGTH(convtests), "default", &indx, &flg));
1045: if (flg) {
1046: switch (indx) {
1047: case 0:
1048: PetscCall(SNESSetConvergenceTest(snes, SNESConvergedDefault, NULL, NULL));
1049: break;
1050: case 1:
1051: PetscCall(SNESSetConvergenceTest(snes, SNESConvergedSkip, NULL, NULL));
1052: break;
1053: case 2:
1054: PetscCall(SNESSetConvergenceTest(snes, SNESConvergedCorrectPressure, NULL, NULL));
1055: break;
1056: }
1057: }
1059: PetscCall(PetscOptionsEList("-snes_norm_schedule", "SNES Norm schedule", "SNESSetNormSchedule", SNESNormSchedules, 5, "function", &indx, &flg));
1060: if (flg) PetscCall(SNESSetNormSchedule(snes, (SNESNormSchedule)indx));
1062: PetscCall(PetscOptionsEList("-snes_function_type", "SNES Norm schedule", "SNESSetFunctionType", SNESFunctionTypes, 2, "unpreconditioned", &indx, &flg));
1063: if (flg) PetscCall(SNESSetFunctionType(snes, (SNESFunctionType)indx));
1065: kctx = (SNESKSPEW *)snes->kspconvctx;
1067: PetscCall(PetscOptionsBool("-snes_ksp_ew", "Use Eisentat-Walker linear system convergence test", "SNESKSPSetUseEW", snes->ksp_ewconv, &snes->ksp_ewconv, NULL));
1069: PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
1070: PetscCall(PetscSNPrintf(ewprefix, sizeof(ewprefix), "%s%s", optionsprefix ? optionsprefix : "", "snes_"));
1071: PetscCall(SNESEWSetFromOptions_Private(kctx, PETSC_TRUE, PetscObjectComm((PetscObject)snes), ewprefix));
1073: flg = PETSC_FALSE;
1074: PetscCall(PetscOptionsBool("-snes_monitor_cancel", "Remove all monitors", "SNESMonitorCancel", flg, &flg, &set));
1075: if (set && flg) PetscCall(SNESMonitorCancel(snes));
1077: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor", "Monitor norm of function", "SNESMonitorDefault", SNESMonitorDefault, SNESMonitorDefaultSetUp));
1078: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_short", "Monitor norm of function with fewer digits", "SNESMonitorDefaultShort", SNESMonitorDefaultShort, NULL));
1079: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_range", "Monitor range of elements of function", "SNESMonitorRange", SNESMonitorRange, NULL));
1081: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_ratio", "Monitor ratios of the norm of function for consecutive steps", "SNESMonitorRatio", SNESMonitorRatio, SNESMonitorRatioSetUp));
1082: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_field", "Monitor norm of function (split into fields)", "SNESMonitorDefaultField", SNESMonitorDefaultField, NULL));
1083: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_solution", "View solution at each iteration", "SNESMonitorSolution", SNESMonitorSolution, NULL));
1084: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_solution_update", "View correction at each iteration", "SNESMonitorSolutionUpdate", SNESMonitorSolutionUpdate, NULL));
1085: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_residual", "View residual at each iteration", "SNESMonitorResidual", SNESMonitorResidual, NULL));
1086: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_jacupdate_spectrum", "Print the change in the spectrum of the Jacobian", "SNESMonitorJacUpdateSpectrum", SNESMonitorJacUpdateSpectrum, NULL));
1087: PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_fields", "Monitor norm of function per field", "SNESMonitorSet", SNESMonitorFields, NULL));
1088: PetscCall(PetscOptionsBool("-snes_monitor_pause_final", "Pauses all draw monitors at the final iterate", "SNESMonitorPauseFinal_Internal", PETSC_FALSE, &snes->pauseFinal, NULL));
1090: PetscCall(PetscOptionsString("-snes_monitor_python", "Use Python function", "SNESMonitorSet", NULL, monfilename, sizeof(monfilename), &flg));
1091: if (flg) PetscCall(PetscPythonMonitorSet((PetscObject)snes, monfilename));
1093: flg = PETSC_FALSE;
1094: PetscCall(PetscOptionsBool("-snes_monitor_lg_range", "Plot function range at each iteration", "SNESMonitorLGRange", flg, &flg, NULL));
1095: if (flg) {
1096: PetscViewer ctx;
1098: PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, NULL, PETSC_DECIDE, PETSC_DECIDE, 400, 300, &ctx));
1099: PetscCall(SNESMonitorSet(snes, SNESMonitorLGRange, ctx, (PetscCtxDestroyFn *)PetscViewerDestroy));
1100: }
1102: PetscCall(PetscViewerDestroy(&snes->convergedreasonviewer));
1103: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_converged_reason", &snes->convergedreasonviewer, &snes->convergedreasonformat, NULL));
1104: flg = PETSC_FALSE;
1105: PetscCall(PetscOptionsBool("-snes_converged_reason_view_cancel", "Remove all converged reason viewers", "SNESConvergedReasonViewCancel", flg, &flg, &set));
1106: if (set && flg) PetscCall(SNESConvergedReasonViewCancel(snes));
1108: flg = PETSC_FALSE;
1109: PetscCall(PetscOptionsBool("-snes_fd", "Use finite differences (slow) to compute Jacobian", "SNESComputeJacobianDefault", flg, &flg, NULL));
1110: if (flg) {
1111: void *functx;
1112: DM dm;
1113: PetscCall(SNESGetDM(snes, &dm));
1114: PetscCall(DMSNESUnsetJacobianContext_Internal(dm));
1115: PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
1116: PetscCall(SNESSetJacobian(snes, snes->jacobian, snes->jacobian_pre, SNESComputeJacobianDefault, functx));
1117: PetscCall(PetscInfo(snes, "Setting default finite difference Jacobian matrix\n"));
1118: }
1120: flg = PETSC_FALSE;
1121: PetscCall(PetscOptionsBool("-snes_fd_function", "Use finite differences (slow) to compute function from user objective", "SNESObjectiveComputeFunctionDefaultFD", flg, &flg, NULL));
1122: if (flg) PetscCall(SNESSetFunction(snes, NULL, SNESObjectiveComputeFunctionDefaultFD, NULL));
1124: flg = PETSC_FALSE;
1125: PetscCall(PetscOptionsBool("-snes_fd_color", "Use finite differences with coloring to compute Jacobian", "SNESComputeJacobianDefaultColor", flg, &flg, NULL));
1126: if (flg) {
1127: DM dm;
1128: PetscCall(SNESGetDM(snes, &dm));
1129: PetscCall(DMSNESUnsetJacobianContext_Internal(dm));
1130: PetscCall(SNESSetJacobian(snes, snes->jacobian, snes->jacobian_pre, SNESComputeJacobianDefaultColor, NULL));
1131: PetscCall(PetscInfo(snes, "Setting default finite difference coloring Jacobian matrix\n"));
1132: }
1134: flg = PETSC_FALSE;
1135: PetscCall(PetscOptionsBool("-snes_mf_operator", "Use a Matrix-Free Jacobian with user-provided matrix for computing the preconditioner", "SNESSetUseMatrixFree", PETSC_FALSE, &snes->mf_operator, &flg));
1136: if (flg && snes->mf_operator) {
1137: snes->mf_operator = PETSC_TRUE;
1138: snes->mf = PETSC_TRUE;
1139: }
1140: flg = PETSC_FALSE;
1141: PetscCall(PetscOptionsBool("-snes_mf", "Use a Matrix-Free Jacobian with no matrix for computing the preconditioner", "SNESSetUseMatrixFree", PETSC_FALSE, &snes->mf, &flg));
1142: if (!flg && snes->mf_operator) snes->mf = PETSC_TRUE;
1143: PetscCall(PetscOptionsInt("-snes_mf_version", "Matrix-Free routines version 1 or 2", "None", snes->mf_version, &snes->mf_version, NULL));
1145: PetscCall(PetscOptionsName("-snes_test_function", "Compare hand-coded and finite difference functions", "None", &snes->testFunc));
1146: PetscCall(PetscOptionsName("-snes_test_jacobian", "Compare hand-coded and finite difference Jacobians", "None", &snes->testJac));
1148: flg = PETSC_FALSE;
1149: PetscCall(SNESGetNPCSide(snes, &pcside));
1150: PetscCall(PetscOptionsEnum("-snes_npc_side", "SNES nonlinear preconditioner side", "SNESSetNPCSide", PCSides, (PetscEnum)pcside, (PetscEnum *)&pcside, &flg));
1151: if (flg) PetscCall(SNESSetNPCSide(snes, pcside));
1153: #if defined(PETSC_HAVE_SAWS)
1154: /*
1155: Publish convergence information using SAWs
1156: */
1157: flg = PETSC_FALSE;
1158: PetscCall(PetscOptionsBool("-snes_monitor_saws", "Publish SNES progress using SAWs", "SNESMonitorSet", flg, &flg, NULL));
1159: if (flg) {
1160: PetscCtx ctx;
1161: PetscCall(SNESMonitorSAWsCreate(snes, &ctx));
1162: PetscCall(SNESMonitorSet(snes, SNESMonitorSAWs, ctx, SNESMonitorSAWsDestroy));
1163: }
1164: #endif
1165: #if defined(PETSC_HAVE_SAWS)
1166: {
1167: PetscBool set;
1168: flg = PETSC_FALSE;
1169: PetscCall(PetscOptionsBool("-snes_saws_block", "Block for SAWs at end of SNESSolve", "PetscObjectSAWsBlock", ((PetscObject)snes)->amspublishblock, &flg, &set));
1170: if (set) PetscCall(PetscObjectSAWsSetBlock((PetscObject)snes, flg));
1171: }
1172: #endif
1174: for (i = 0; i < numberofsetfromoptions; i++) PetscCall((*othersetfromoptions[i])(snes));
1176: PetscTryTypeMethod(snes, setfromoptions, PetscOptionsObject);
1178: /* process any options handlers added with PetscObjectAddOptionsHandler() */
1179: PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)snes, PetscOptionsObject));
1180: PetscOptionsEnd();
1182: if (snes->linesearch) {
1183: PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
1184: PetscCall(SNESLineSearchSetFromOptions(snes->linesearch));
1185: }
1187: if (snes->usesksp) {
1188: if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
1189: PetscCall(KSPSetOperators(snes->ksp, snes->jacobian, snes->jacobian_pre));
1190: PetscCall(KSPSetFromOptions(snes->ksp));
1191: }
1193: /* if user has set the SNES NPC type via options database, create it. */
1194: PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
1195: PetscCall(PetscOptionsHasName(((PetscObject)snes)->options, optionsprefix, "-npc_snes_type", &pcset));
1196: if (pcset && (!snes->npc)) PetscCall(SNESGetNPC(snes, &snes->npc));
1197: if (snes->npc) PetscCall(SNESSetFromOptions(snes->npc));
1198: snes->setfromoptionscalled++;
1199: PetscFunctionReturn(PETSC_SUCCESS);
1200: }
1202: /*@
1203: SNESResetFromOptions - Sets various `SNES` and `KSP` parameters from user options ONLY if the `SNESSetFromOptions()` was previously called
1205: Collective
1207: Input Parameter:
1208: . snes - the `SNES` context
1210: Level: advanced
1212: .seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`, `SNESSetOptionsPrefix()`
1213: @*/
1214: PetscErrorCode SNESResetFromOptions(SNES snes)
1215: {
1216: PetscFunctionBegin;
1217: if (snes->setfromoptionscalled) PetscCall(SNESSetFromOptions(snes));
1218: PetscFunctionReturn(PETSC_SUCCESS);
1219: }
1221: /*@C
1222: SNESSetComputeApplicationContext - Sets an optional function to compute a user-defined context for
1223: the nonlinear solvers.
1225: Logically Collective; No Fortran Support
1227: Input Parameters:
1228: + snes - the `SNES` context
1229: . compute - function to compute the context
1230: - destroy - function to destroy the context, see `PetscCtxDestroyFn` for the calling sequence
1232: Calling sequence of `compute`:
1233: + snes - the `SNES` context
1234: - ctx - context to be computed
1236: Level: intermediate
1238: Note:
1239: This routine is useful if you are performing grid sequencing or using `SNESFAS` and need the appropriate context generated for each level.
1241: Use `SNESSetApplicationContext()` to see the context immediately
1243: .seealso: [](ch_snes), `SNESGetApplicationContext()`, `SNESSetApplicationContext()`, `PetscCtxDestroyFn`
1244: @*/
1245: PetscErrorCode SNESSetComputeApplicationContext(SNES snes, PetscErrorCode (*compute)(SNES snes, PetscCtxRt ctx), PetscCtxDestroyFn *destroy)
1246: {
1247: PetscFunctionBegin;
1249: snes->ops->ctxcompute = compute;
1250: snes->ops->ctxdestroy = destroy;
1251: PetscFunctionReturn(PETSC_SUCCESS);
1252: }
1254: /*@
1255: SNESSetApplicationContext - Sets the optional user-defined context for the nonlinear solvers.
1257: Logically Collective
1259: Input Parameters:
1260: + snes - the `SNES` context
1261: - ctx - the user context
1263: Level: intermediate
1265: Notes:
1266: Users can provide a context when constructing the `SNES` options and then access it inside their function, Jacobian computation, or other evaluation function
1267: with `SNESGetApplicationContext()`
1269: To provide a function that computes the context for you use `SNESSetComputeApplicationContext()`
1271: Fortran Note:
1272: This only works when `ctx` is a Fortran derived type (it cannot be a `PetscObject`), we recommend writing a Fortran interface definition for this
1273: function that tells the Fortran compiler the derived data type that is passed in as the `ctx` argument. See `SNESGetApplicationContext()` for
1274: an example.
1276: .seealso: [](ch_snes), `SNES`, `SNESSetComputeApplicationContext()`, `SNESGetApplicationContext()`
1277: @*/
1278: PetscErrorCode SNESSetApplicationContext(SNES snes, PetscCtx ctx)
1279: {
1280: KSP ksp;
1282: PetscFunctionBegin;
1284: PetscCall(SNESGetKSP(snes, &ksp));
1285: PetscCall(KSPSetApplicationContext(ksp, ctx));
1286: snes->ctx = ctx;
1287: PetscFunctionReturn(PETSC_SUCCESS);
1288: }
1290: /*@
1291: SNESGetApplicationContext - Gets the user-defined context for the
1292: nonlinear solvers set with `SNESGetApplicationContext()` or `SNESSetComputeApplicationContext()`
1294: Not Collective
1296: Input Parameter:
1297: . snes - `SNES` context
1299: Output Parameter:
1300: . ctx - the application context
1302: Level: intermediate
1304: Fortran Notes:
1305: This only works when the context is a Fortran derived type or a `PetscObject`. Declare `ctx` with
1306: .vb
1307: type(tUsertype), pointer :: ctx
1308: .ve
1310: .seealso: [](ch_snes), `SNESSetApplicationContext()`, `SNESSetComputeApplicationContext()`
1311: @*/
1312: PetscErrorCode SNESGetApplicationContext(SNES snes, PetscCtxRt ctx)
1313: {
1314: PetscFunctionBegin;
1316: *(void **)ctx = snes->ctx;
1317: PetscFunctionReturn(PETSC_SUCCESS);
1318: }
1320: /*@
1321: SNESSetUseMatrixFree - indicates that `SNES` should use matrix-free finite difference matrix-vector products to apply the Jacobian.
1323: Logically Collective
1325: Input Parameters:
1326: + snes - `SNES` context
1327: . mf_operator - use matrix-free only for the Amat used by `SNESSetJacobian()`, this means the user provided Pmat will continue to be used
1328: - mf - use matrix-free for both the Amat and Pmat used by `SNESSetJacobian()`, both the Amat and Pmat set in `SNESSetJacobian()` will be ignored. With
1329: this option no matrix-element based preconditioners can be used in the linear solve since the matrix won't be explicitly available
1331: Options Database Keys:
1332: + -snes_mf_operator - use matrix-free only for the mat operator
1333: . -snes_mf - use matrix-free for both the mat and pmat operator
1334: . -snes_fd_color - compute the Jacobian via coloring and finite differences.
1335: - -snes_fd - compute the Jacobian via finite differences (slow)
1337: Level: intermediate
1339: Note:
1340: `SNES` supports three approaches for computing (approximate) Jacobians: user provided via `SNESSetJacobian()`, matrix-free using `MatCreateSNESMF()`,
1341: and computing explicitly with
1342: finite differences and coloring using `MatFDColoring`. It is also possible to use automatic differentiation and the `MatFDColoring` object.
1344: .seealso: [](ch_snes), `SNES`, `SNESGetUseMatrixFree()`, `MatCreateSNESMF()`, `SNESComputeJacobianDefaultColor()`, `MatFDColoring`
1345: @*/
1346: PetscErrorCode SNESSetUseMatrixFree(SNES snes, PetscBool mf_operator, PetscBool mf)
1347: {
1348: PetscFunctionBegin;
1352: snes->mf = mf_operator ? PETSC_TRUE : mf;
1353: snes->mf_operator = mf_operator;
1354: PetscFunctionReturn(PETSC_SUCCESS);
1355: }
1357: /*@
1358: SNESGetUseMatrixFree - indicates if the `SNES` uses matrix-free finite difference matrix vector products to apply the Jacobian.
1360: Not Collective, but the resulting flags will be the same on all MPI processes
1362: Input Parameter:
1363: . snes - `SNES` context
1365: Output Parameters:
1366: + mf_operator - use matrix-free only for the Amat used by `SNESSetJacobian()`, this means the user provided Pmat will continue to be used
1367: - mf - use matrix-free for both the Amat and Pmat used by `SNESSetJacobian()`, both the Amat and Pmat set in `SNESSetJacobian()` will be ignored
1369: Level: intermediate
1371: .seealso: [](ch_snes), `SNES`, `SNESSetUseMatrixFree()`, `MatCreateSNESMF()`
1372: @*/
1373: PetscErrorCode SNESGetUseMatrixFree(SNES snes, PetscBool *mf_operator, PetscBool *mf)
1374: {
1375: PetscFunctionBegin;
1377: if (mf) *mf = snes->mf;
1378: if (mf_operator) *mf_operator = snes->mf_operator;
1379: PetscFunctionReturn(PETSC_SUCCESS);
1380: }
1382: /*@
1383: SNESGetIterationNumber - Gets the number of nonlinear iterations completed in the current or most recent `SNESSolve()`
1385: Not Collective
1387: Input Parameter:
1388: . snes - `SNES` context
1390: Output Parameter:
1391: . iter - iteration number
1393: Level: intermediate
1395: Notes:
1396: For example, during the computation of iteration 2 this would return 1.
1398: This is useful for using lagged Jacobians (where one does not recompute the
1399: Jacobian at each `SNES` iteration). For example, the code
1400: .vb
1401: ierr = SNESGetIterationNumber(snes,&it);
1402: if (!(it % 2)) {
1403: [compute Jacobian here]
1404: }
1405: .ve
1406: can be used in your function that computes the Jacobian to cause the Jacobian to be
1407: recomputed every second `SNES` iteration. See also `SNESSetLagJacobian()`
1409: After the `SNES` solve is complete this will return the number of nonlinear iterations used.
1411: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetLagJacobian()`, `SNESGetLinearSolveIterations()`, `SNESSetMonitor()`
1412: @*/
1413: PetscErrorCode SNESGetIterationNumber(SNES snes, PetscInt *iter)
1414: {
1415: PetscFunctionBegin;
1417: PetscAssertPointer(iter, 2);
1418: *iter = snes->iter;
1419: PetscFunctionReturn(PETSC_SUCCESS);
1420: }
1422: /*@
1423: SNESSetIterationNumber - Sets the current iteration number.
1425: Not Collective
1427: Input Parameters:
1428: + snes - `SNES` context
1429: - iter - iteration number
1431: Level: developer
1433: Note:
1434: This should only be called inside a `SNES` nonlinear solver.
1436: .seealso: [](ch_snes), `SNESGetLinearSolveIterations()`
1437: @*/
1438: PetscErrorCode SNESSetIterationNumber(SNES snes, PetscInt iter)
1439: {
1440: PetscFunctionBegin;
1442: PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes));
1443: snes->iter = iter;
1444: PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes));
1445: PetscFunctionReturn(PETSC_SUCCESS);
1446: }
1448: /*@
1449: SNESGetNonlinearStepFailures - Gets the number of unsuccessful steps
1450: taken by the nonlinear solver in the current or most recent `SNESSolve()` .
1452: Not Collective
1454: Input Parameter:
1455: . snes - `SNES` context
1457: Output Parameter:
1458: . nfails - number of unsuccessful steps attempted
1460: Level: intermediate
1462: Notes:
1463: A failed step is a step that was generated and taken but did not satisfy the requested step criteria. For example,
1464: the `SNESLineSearchApply()` could not generate a sufficient decrease in the function norm (in fact it may have produced an increase).
1466: Taken steps that produce a infinity or NaN in the function evaluation or generate a `SNESSetFunctionDomainError()`
1467: will always immediately terminate the `SNESSolve()` regardless of the value of `maxFails`.
1469: `SNESSetMaxNonlinearStepFailures()` determines how many unsuccessful steps are allowed before the `SNESSolve()` terminates
1471: This counter is reset to zero for each successive call to `SNESSolve()`.
1473: .seealso: [](ch_snes), `SNES`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`,
1474: `SNESSetMaxNonlinearStepFailures()`, `SNESGetMaxNonlinearStepFailures()`
1475: @*/
1476: PetscErrorCode SNESGetNonlinearStepFailures(SNES snes, PetscInt *nfails)
1477: {
1478: PetscFunctionBegin;
1480: PetscAssertPointer(nfails, 2);
1481: *nfails = snes->numFailures;
1482: PetscFunctionReturn(PETSC_SUCCESS);
1483: }
1485: /*@
1486: SNESSetMaxNonlinearStepFailures - Sets the maximum number of unsuccessful steps
1487: attempted by the nonlinear solver before it gives up and returns unconverged or generates an error
1489: Not Collective
1491: Input Parameters:
1492: + snes - `SNES` context
1493: - maxFails - maximum of unsuccessful steps allowed, use `PETSC_UNLIMITED` to have no limit on the number of failures
1495: Options Database Key:
1496: . -snes_max_fail n - maximum number of unsuccessful steps allowed
1498: Level: intermediate
1500: Note:
1501: A failed step is a step that was generated and taken but did not satisfy the requested criteria. For example,
1502: the `SNESLineSearchApply()` could not generate a sufficient decrease in the function norm (in fact it may have produced an increase).
1504: Taken steps that produce a infinity or NaN in the function evaluation or generate a `SNESSetFunctionDomainError()`
1505: will always immediately terminate the `SNESSolve()` regardless of the value of `maxFails`.
1507: Developer Note:
1508: The options database key is wrong for this function name
1510: .seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`,
1511: `SNESGetLinearSolveFailures()`, `SNESGetMaxNonlinearStepFailures()`, `SNESGetNonlinearStepFailures()`, `SNESCheckLineSearchFailure()`
1512: @*/
1513: PetscErrorCode SNESSetMaxNonlinearStepFailures(SNES snes, PetscInt maxFails)
1514: {
1515: PetscFunctionBegin;
1518: if (maxFails == PETSC_UNLIMITED) {
1519: snes->maxFailures = PETSC_INT_MAX;
1520: } else {
1521: PetscCheck(maxFails >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Cannot have a negative maximum number of failures");
1522: snes->maxFailures = maxFails;
1523: }
1524: PetscFunctionReturn(PETSC_SUCCESS);
1525: }
1527: /*@
1528: SNESGetMaxNonlinearStepFailures - Gets the maximum number of unsuccessful steps
1529: attempted by the nonlinear solver before it gives up and returns unconverged or generates an error
1531: Not Collective
1533: Input Parameter:
1534: . snes - `SNES` context
1536: Output Parameter:
1537: . maxFails - maximum of unsuccessful steps
1539: Level: intermediate
1541: .seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`,
1542: `SNESSetMaxNonlinearStepFailures()`, `SNESGetNonlinearStepFailures()`
1543: @*/
1544: PetscErrorCode SNESGetMaxNonlinearStepFailures(SNES snes, PetscInt *maxFails)
1545: {
1546: PetscFunctionBegin;
1548: PetscAssertPointer(maxFails, 2);
1549: *maxFails = snes->maxFailures;
1550: PetscFunctionReturn(PETSC_SUCCESS);
1551: }
1553: /*@
1554: SNESGetNumberFunctionEvals - Gets the number of user provided function evaluations
1555: done by the `SNES` object in the current or most recent `SNESSolve()`
1557: Not Collective
1559: Input Parameter:
1560: . snes - `SNES` context
1562: Output Parameter:
1563: . nfuncs - number of evaluations
1565: Level: intermediate
1567: Note:
1568: Reset every time `SNESSolve()` is called unless `SNESSetCountersReset()` is used.
1570: .seealso: [](ch_snes), `SNES`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`, `SNESSetCountersReset()`
1571: @*/
1572: PetscErrorCode SNESGetNumberFunctionEvals(SNES snes, PetscInt *nfuncs)
1573: {
1574: PetscFunctionBegin;
1576: PetscAssertPointer(nfuncs, 2);
1577: *nfuncs = snes->nfuncs;
1578: PetscFunctionReturn(PETSC_SUCCESS);
1579: }
1581: /*@
1582: SNESGetLinearSolveFailures - Gets the number of failed (non-converged)
1583: linear solvers in the current or most recent `SNESSolve()`
1585: Not Collective
1587: Input Parameter:
1588: . snes - `SNES` context
1590: Output Parameter:
1591: . nfails - number of failed solves
1593: Options Database Key:
1594: . -snes_max_linear_solve_fail num - The number of failures before the solve is terminated
1596: Level: intermediate
1598: Note:
1599: This counter is reset to zero for each successive call to `SNESSolve()`.
1601: .seealso: [](ch_snes), `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`
1602: @*/
1603: PetscErrorCode SNESGetLinearSolveFailures(SNES snes, PetscInt *nfails)
1604: {
1605: PetscFunctionBegin;
1607: PetscAssertPointer(nfails, 2);
1608: *nfails = snes->numLinearSolveFailures;
1609: PetscFunctionReturn(PETSC_SUCCESS);
1610: }
1612: /*@
1613: SNESSetMaxLinearSolveFailures - the number of failed linear solve attempts
1614: allowed before `SNES` returns with a diverged reason of `SNES_DIVERGED_LINEAR_SOLVE`
1616: Logically Collective
1618: Input Parameters:
1619: + snes - `SNES` context
1620: - maxFails - maximum allowed linear solve failures, use `PETSC_UNLIMITED` to have no limit on the number of failures
1622: Options Database Key:
1623: . -snes_max_linear_solve_fail num - The number of failures before the solve is terminated
1625: Level: intermediate
1627: Note:
1628: By default this is 0; that is `SNES` returns on the first failed linear solve
1630: Developer Note:
1631: The options database key is wrong for this function name
1633: .seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetLinearSolveFailures()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`
1634: @*/
1635: PetscErrorCode SNESSetMaxLinearSolveFailures(SNES snes, PetscInt maxFails)
1636: {
1637: PetscFunctionBegin;
1641: if (maxFails == PETSC_UNLIMITED) {
1642: snes->maxLinearSolveFailures = PETSC_INT_MAX;
1643: } else {
1644: PetscCheck(maxFails >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Cannot have a negative maximum number of failures");
1645: snes->maxLinearSolveFailures = maxFails;
1646: }
1647: PetscFunctionReturn(PETSC_SUCCESS);
1648: }
1650: /*@
1651: SNESGetMaxLinearSolveFailures - gets the maximum number of linear solve failures that
1652: are allowed before `SNES` returns as unsuccessful
1654: Not Collective
1656: Input Parameter:
1657: . snes - `SNES` context
1659: Output Parameter:
1660: . maxFails - maximum of unsuccessful solves allowed
1662: Level: intermediate
1664: Note:
1665: By default this is 1; that is `SNES` returns on the first failed linear solve
1667: .seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`
1668: @*/
1669: PetscErrorCode SNESGetMaxLinearSolveFailures(SNES snes, PetscInt *maxFails)
1670: {
1671: PetscFunctionBegin;
1673: PetscAssertPointer(maxFails, 2);
1674: *maxFails = snes->maxLinearSolveFailures;
1675: PetscFunctionReturn(PETSC_SUCCESS);
1676: }
1678: /*@
1679: SNESGetLinearSolveIterations - Gets the total number of linear iterations
1680: used by the nonlinear solver in the most recent `SNESSolve()`
1682: Not Collective
1684: Input Parameter:
1685: . snes - `SNES` context
1687: Output Parameter:
1688: . lits - number of linear iterations
1690: Level: intermediate
1692: Notes:
1693: This counter is reset to zero for each successive call to `SNESSolve()` unless `SNESSetCountersReset()` is used.
1695: If the linear solver fails inside the `SNESSolve()` the iterations for that call to the linear solver are not included. If you wish to count them
1696: then call `KSPGetIterationNumber()` after the failed solve.
1698: .seealso: [](ch_snes), `SNES`, `SNESGetIterationNumber()`, `SNESGetLinearSolveFailures()`, `SNESGetMaxLinearSolveFailures()`, `SNESSetCountersReset()`
1699: @*/
1700: PetscErrorCode SNESGetLinearSolveIterations(SNES snes, PetscInt *lits)
1701: {
1702: PetscFunctionBegin;
1704: PetscAssertPointer(lits, 2);
1705: *lits = snes->linear_its;
1706: PetscFunctionReturn(PETSC_SUCCESS);
1707: }
1709: /*@
1710: SNESSetCountersReset - Sets whether or not the counters for linear iterations and function evaluations
1711: are reset every time `SNESSolve()` is called.
1713: Logically Collective
1715: Input Parameters:
1716: + snes - `SNES` context
1717: - reset - whether to reset the counters or not, defaults to `PETSC_TRUE`
1719: Level: developer
1721: .seealso: [](ch_snes), `SNESGetNumberFunctionEvals()`, `SNESGetLinearSolveIterations()`, `SNESGetNPC()`
1722: @*/
1723: PetscErrorCode SNESSetCountersReset(SNES snes, PetscBool reset)
1724: {
1725: PetscFunctionBegin;
1728: snes->counters_reset = reset;
1729: PetscFunctionReturn(PETSC_SUCCESS);
1730: }
1732: /*@
1733: SNESResetCounters - Reset counters for linear iterations and function evaluations.
1735: Logically Collective
1737: Input Parameters:
1738: . snes - `SNES` context
1740: Level: developer
1742: Note:
1743: It honors the flag set with `SNESSetCountersReset()`
1745: .seealso: [](ch_snes), `SNESGetNumberFunctionEvals()`, `SNESGetLinearSolveIterations()`, `SNESGetNPC()`
1746: @*/
1747: PetscErrorCode SNESResetCounters(SNES snes)
1748: {
1749: PetscFunctionBegin;
1751: if (snes->counters_reset) {
1752: snes->nfuncs = 0;
1753: snes->linear_its = 0;
1754: snes->numFailures = 0;
1755: }
1756: PetscFunctionReturn(PETSC_SUCCESS);
1757: }
1759: /*@
1760: SNESSetKSP - Sets a `KSP` context for the `SNES` object to use
1762: Not Collective, but the `SNES` and `KSP` objects must live on the same `MPI_Comm`
1764: Input Parameters:
1765: + snes - the `SNES` context
1766: - ksp - the `KSP` context
1768: Level: developer
1770: Notes:
1771: The `SNES` object already has its `KSP` object, you can obtain with `SNESGetKSP()`
1772: so this routine is rarely needed.
1774: The `KSP` object that is already in the `SNES` object has its reference count
1775: decreased by one when this is called.
1777: .seealso: [](ch_snes), `SNES`, `KSP`, `KSPGetPC()`, `SNESCreate()`, `KSPCreate()`
1778: @*/
1779: PetscErrorCode SNESSetKSP(SNES snes, KSP ksp)
1780: {
1781: PetscFunctionBegin;
1784: PetscCheckSameComm(snes, 1, ksp, 2);
1785: PetscCall(PetscObjectReference((PetscObject)ksp));
1786: PetscCall(PetscObjectDereference((PetscObject)snes->ksp));
1787: snes->ksp = ksp;
1788: PetscFunctionReturn(PETSC_SUCCESS);
1789: }
1791: /*@
1792: SNESParametersInitialize - Sets all the parameters in `snes` to their default value (when `SNESCreate()` was called) if they
1793: currently contain default values
1795: Collective
1797: Input Parameter:
1798: . snes - the `SNES` object
1800: Level: developer
1802: Developer Note:
1803: This is called by all the `SNESCreate_XXX()` routines.
1805: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESDestroy()`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobian()`,
1806: `PetscObjectParameterSetDefault()`
1807: @*/
1808: PetscErrorCode SNESParametersInitialize(SNES snes)
1809: {
1810: PetscObjectParameterSetDefault(snes, max_its, 50);
1811: PetscObjectParameterSetDefault(snes, max_funcs, 10000);
1812: PetscObjectParameterSetDefault(snes, rtol, PetscDefined(USE_REAL_SINGLE) ? 1.e-5 : 1.e-8);
1813: PetscObjectParameterSetDefault(snes, abstol, PetscDefined(USE_REAL_SINGLE) ? 1.e-25 : 1.e-50);
1814: PetscObjectParameterSetDefault(snes, stol, PetscDefined(USE_REAL_SINGLE) ? 1.e-5 : 1.e-8);
1815: PetscObjectParameterSetDefault(snes, divtol, 1.e4);
1816: return PETSC_SUCCESS;
1817: }
1819: /*@
1820: SNESCreate - Creates a nonlinear solver context used to manage a set of nonlinear solves
1822: Collective
1824: Input Parameter:
1825: . comm - MPI communicator
1827: Output Parameter:
1828: . outsnes - the new `SNES` context
1830: Options Database Keys:
1831: + -snes_mf - Activates default matrix-free Jacobian-vector products, and no matrix to construct a preconditioner
1832: . -snes_mf_operator - Activates default matrix-free Jacobian-vector products, and a user-provided matrix as set by `SNESSetJacobian()`
1833: . -snes_fd_coloring - uses a relative fast computation of the Jacobian using finite differences and a graph coloring
1834: - -snes_fd - Uses (slow!) finite differences to compute Jacobian
1836: Level: beginner
1838: Developer Notes:
1839: `SNES` always creates a `KSP` object even though many `SNES` methods do not use it. This is
1840: unfortunate and should be fixed at some point. The flag snes->usesksp indicates if the
1841: particular method does use `KSP` and regulates if the information about the `KSP` is printed
1842: in `SNESView()`.
1844: `TSSetFromOptions()` does call `SNESSetFromOptions()` which can lead to users being confused
1845: by help messages about meaningless `SNES` options.
1847: `SNES` always creates the `snes->kspconvctx` even though it is used by only one type. This should be fixed.
1849: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESDestroy()`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobian()`
1850: @*/
1851: PetscErrorCode SNESCreate(MPI_Comm comm, SNES *outsnes)
1852: {
1853: SNES snes;
1854: SNESKSPEW *kctx;
1856: PetscFunctionBegin;
1857: PetscAssertPointer(outsnes, 2);
1858: PetscCall(SNESInitializePackage());
1860: PetscCall(PetscHeaderCreate(snes, SNES_CLASSID, "SNES", "Nonlinear solver", "SNES", comm, SNESDestroy, SNESView));
1861: snes->ops->converged = SNESConvergedDefault;
1862: snes->usesksp = PETSC_TRUE;
1863: snes->norm = 0.0;
1864: snes->xnorm = 0.0;
1865: snes->ynorm = 0.0;
1866: snes->normschedule = SNES_NORM_ALWAYS;
1867: snes->functype = SNES_FUNCTION_DEFAULT;
1868: snes->ttol = 0.0;
1870: snes->rnorm0 = 0;
1871: snes->nfuncs = 0;
1872: snes->numFailures = 0;
1873: snes->maxFailures = 1;
1874: snes->linear_its = 0;
1875: snes->lagjacobian = 1;
1876: snes->jac_iter = 0;
1877: snes->lagjac_persist = PETSC_FALSE;
1878: snes->lagpreconditioner = 1;
1879: snes->pre_iter = 0;
1880: snes->lagpre_persist = PETSC_FALSE;
1881: snes->numbermonitors = 0;
1882: snes->numberreasonviews = 0;
1883: snes->data = NULL;
1884: snes->setupcalled = PETSC_FALSE;
1885: snes->ksp_ewconv = PETSC_FALSE;
1886: snes->nwork = 0;
1887: snes->work = NULL;
1888: snes->nvwork = 0;
1889: snes->vwork = NULL;
1890: snes->conv_hist_len = 0;
1891: snes->conv_hist_max = 0;
1892: snes->conv_hist = NULL;
1893: snes->conv_hist_its = NULL;
1894: snes->conv_hist_reset = PETSC_TRUE;
1895: snes->counters_reset = PETSC_TRUE;
1896: snes->vec_func_init_set = PETSC_FALSE;
1897: snes->reason = SNES_CONVERGED_ITERATING;
1898: snes->npcside = PC_RIGHT;
1899: snes->setfromoptionscalled = 0;
1901: snes->mf = PETSC_FALSE;
1902: snes->mf_operator = PETSC_FALSE;
1903: snes->mf_version = 1;
1905: snes->numLinearSolveFailures = 0;
1906: snes->maxLinearSolveFailures = 1;
1908: snes->vizerotolerance = 1.e-8;
1909: snes->checkjacdomainerror = PetscDefined(USE_DEBUG) ? PETSC_TRUE : PETSC_FALSE;
1911: /* Set this to true if the implementation of SNESSolve_XXX does compute the residual at the final solution. */
1912: snes->alwayscomputesfinalresidual = PETSC_FALSE;
1914: /* Create context to compute Eisenstat-Walker relative tolerance for KSP */
1915: PetscCall(PetscNew(&kctx));
1917: snes->kspconvctx = kctx;
1918: kctx->version = 2;
1919: kctx->rtol_0 = 0.3; /* Eisenstat and Walker suggest rtol_0=.5, but
1920: this was too large for some test cases */
1921: kctx->rtol_last = 0.0;
1922: kctx->rtol_max = 0.9;
1923: kctx->gamma = 1.0;
1924: kctx->alpha = 0.5 * (1.0 + PetscSqrtReal(5.0));
1925: kctx->alpha2 = kctx->alpha;
1926: kctx->threshold = 0.1;
1927: kctx->lresid_last = 0.0;
1928: kctx->norm_last = 0.0;
1930: kctx->rk_last = 0.0;
1931: kctx->rk_last_2 = 0.0;
1932: kctx->rtol_last_2 = 0.0;
1933: kctx->v4_p1 = 0.1;
1934: kctx->v4_p2 = 0.4;
1935: kctx->v4_p3 = 0.7;
1936: kctx->v4_m1 = 0.8;
1937: kctx->v4_m2 = 0.5;
1938: kctx->v4_m3 = 0.1;
1939: kctx->v4_m4 = 0.5;
1941: PetscCall(SNESParametersInitialize(snes));
1942: *outsnes = snes;
1943: PetscFunctionReturn(PETSC_SUCCESS);
1944: }
1946: /*@C
1947: SNESSetFunction - Sets the function evaluation routine and function
1948: vector for use by the `SNES` routines in solving systems of nonlinear
1949: equations.
1951: Logically Collective
1953: Input Parameters:
1954: + snes - the `SNES` context
1955: . r - vector to store function values, may be `NULL`
1956: . f - function evaluation routine; for calling sequence see `SNESFunctionFn`
1957: - ctx - [optional] user-defined context for private data for the
1958: function evaluation routine (may be `NULL`)
1960: Level: beginner
1962: .seealso: [](ch_snes), `SNES`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESSetPicard()`, `SNESFunctionFn`
1963: @*/
1964: PetscErrorCode SNESSetFunction(SNES snes, Vec r, SNESFunctionFn *f, PetscCtx ctx)
1965: {
1966: DM dm;
1968: PetscFunctionBegin;
1970: if (r) {
1972: PetscCheckSameComm(snes, 1, r, 2);
1973: PetscCall(PetscObjectReference((PetscObject)r));
1974: PetscCall(VecDestroy(&snes->vec_func));
1975: snes->vec_func = r;
1976: }
1977: PetscCall(SNESGetDM(snes, &dm));
1978: PetscCall(DMSNESSetFunction(dm, f, ctx));
1979: if (f == SNESPicardComputeFunction) PetscCall(DMSNESSetMFFunction(dm, SNESPicardComputeMFFunction, ctx));
1980: PetscFunctionReturn(PETSC_SUCCESS);
1981: }
1983: /*@C
1984: SNESSetInitialFunction - Set an already computed function evaluation at the initial guess to be reused by `SNESSolve()`.
1986: Logically Collective
1988: Input Parameters:
1989: + snes - the `SNES` context
1990: - f - vector to store function value
1992: Level: developer
1994: Notes:
1995: This should not be modified during the solution procedure.
1997: This is used extensively in the `SNESFAS` hierarchy and in nonlinear preconditioning.
1999: .seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSetFunction()`, `SNESComputeFunction()`, `SNESSetInitialFunctionNorm()`
2000: @*/
2001: PetscErrorCode SNESSetInitialFunction(SNES snes, Vec f)
2002: {
2003: Vec vec_func;
2005: PetscFunctionBegin;
2008: PetscCheckSameComm(snes, 1, f, 2);
2009: if (snes->npcside == PC_LEFT && snes->functype == SNES_FUNCTION_PRECONDITIONED) {
2010: snes->vec_func_init_set = PETSC_FALSE;
2011: PetscFunctionReturn(PETSC_SUCCESS);
2012: }
2013: PetscCall(SNESGetFunction(snes, &vec_func, NULL, NULL));
2014: PetscCall(VecCopy(f, vec_func));
2016: snes->vec_func_init_set = PETSC_TRUE;
2017: PetscFunctionReturn(PETSC_SUCCESS);
2018: }
2020: /*@
2021: SNESSetNormSchedule - Sets the `SNESNormSchedule` used in convergence and monitoring
2022: of the `SNES` method, when norms are computed in the solving process
2024: Logically Collective
2026: Input Parameters:
2027: + snes - the `SNES` context
2028: - normschedule - the frequency of norm computation
2030: Options Database Key:
2031: . -snes_norm_schedule (none|always|initialonly|finalonly|initialfinalonly) - set the schedule
2033: Level: advanced
2035: Notes:
2036: Only certain `SNES` methods support certain `SNESNormSchedules`. Most require evaluation
2037: of the nonlinear function and the taking of its norm at every iteration to
2038: even ensure convergence at all. However, methods such as custom Gauss-Seidel methods
2039: `SNESNGS` and the like do not require the norm of the function to be computed, and therefore
2040: may either be monitored for convergence or not. As these are often used as nonlinear
2041: preconditioners, monitoring the norm of their error is not a useful enterprise within
2042: their solution.
2044: .seealso: [](ch_snes), `SNESNormSchedule`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`
2045: @*/
2046: PetscErrorCode SNESSetNormSchedule(SNES snes, SNESNormSchedule normschedule)
2047: {
2048: PetscFunctionBegin;
2050: snes->normschedule = normschedule;
2051: PetscFunctionReturn(PETSC_SUCCESS);
2052: }
2054: /*@
2055: SNESGetNormSchedule - Gets the `SNESNormSchedule` used in convergence and monitoring
2056: of the `SNES` method.
2058: Logically Collective
2060: Input Parameters:
2061: + snes - the `SNES` context
2062: - normschedule - the type of the norm used
2064: Level: advanced
2066: .seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
2067: @*/
2068: PetscErrorCode SNESGetNormSchedule(SNES snes, SNESNormSchedule *normschedule)
2069: {
2070: PetscFunctionBegin;
2072: *normschedule = snes->normschedule;
2073: PetscFunctionReturn(PETSC_SUCCESS);
2074: }
2076: /*@
2077: SNESSetFunctionNorm - Sets the last computed residual norm.
2079: Logically Collective
2081: Input Parameters:
2082: + snes - the `SNES` context
2083: - norm - the value of the norm
2085: Level: developer
2087: .seealso: [](ch_snes), `SNES`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
2088: @*/
2089: PetscErrorCode SNESSetFunctionNorm(SNES snes, PetscReal norm)
2090: {
2091: PetscFunctionBegin;
2093: snes->norm = norm;
2094: PetscFunctionReturn(PETSC_SUCCESS);
2095: }
2097: /*@
2098: SNESGetFunctionNorm - Gets the last computed norm of the residual
2100: Not Collective
2102: Input Parameter:
2103: . snes - the `SNES` context
2105: Output Parameter:
2106: . norm - the last computed residual norm
2108: Level: developer
2110: .seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
2111: @*/
2112: PetscErrorCode SNESGetFunctionNorm(SNES snes, PetscReal *norm)
2113: {
2114: PetscFunctionBegin;
2116: PetscAssertPointer(norm, 2);
2117: *norm = snes->norm;
2118: PetscFunctionReturn(PETSC_SUCCESS);
2119: }
2121: /*@
2122: SNESGetUpdateNorm - Gets the last computed norm of the solution update
2124: Not Collective
2126: Input Parameter:
2127: . snes - the `SNES` context
2129: Output Parameter:
2130: . ynorm - the last computed update norm
2132: Level: developer
2134: Note:
2135: The new solution is the current solution plus the update, so this norm is an indication of the size of the update
2137: .seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `SNESGetFunctionNorm()`
2138: @*/
2139: PetscErrorCode SNESGetUpdateNorm(SNES snes, PetscReal *ynorm)
2140: {
2141: PetscFunctionBegin;
2143: PetscAssertPointer(ynorm, 2);
2144: *ynorm = snes->ynorm;
2145: PetscFunctionReturn(PETSC_SUCCESS);
2146: }
2148: /*@
2149: SNESGetSolutionNorm - Gets the last computed norm of the solution
2151: Not Collective
2153: Input Parameter:
2154: . snes - the `SNES` context
2156: Output Parameter:
2157: . xnorm - the last computed solution norm
2159: Level: developer
2161: .seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `SNESGetFunctionNorm()`, `SNESGetUpdateNorm()`
2162: @*/
2163: PetscErrorCode SNESGetSolutionNorm(SNES snes, PetscReal *xnorm)
2164: {
2165: PetscFunctionBegin;
2167: PetscAssertPointer(xnorm, 2);
2168: *xnorm = snes->xnorm;
2169: PetscFunctionReturn(PETSC_SUCCESS);
2170: }
2172: /*@
2173: SNESSetFunctionType - Sets the `SNESFunctionType`
2174: of the `SNES` method.
2176: Logically Collective
2178: Input Parameters:
2179: + snes - the `SNES` context
2180: - type - the function type
2182: Level: developer
2184: Values of the function type\:
2185: + `SNES_FUNCTION_DEFAULT` - the default for the given `SNESType`
2186: . `SNES_FUNCTION_UNPRECONDITIONED` - an unpreconditioned function evaluation (this is the function provided with `SNESSetFunction()`
2187: - `SNES_FUNCTION_PRECONDITIONED` - a transformation of the function provided with `SNESSetFunction()`
2189: Note:
2190: Different `SNESType`s use this value in different ways
2192: .seealso: [](ch_snes), `SNES`, `SNESFunctionType`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
2193: @*/
2194: PetscErrorCode SNESSetFunctionType(SNES snes, SNESFunctionType type)
2195: {
2196: PetscFunctionBegin;
2198: snes->functype = type;
2199: PetscFunctionReturn(PETSC_SUCCESS);
2200: }
2202: /*@
2203: SNESGetFunctionType - Gets the `SNESFunctionType` used in convergence and monitoring set with `SNESSetFunctionType()`
2204: of the SNES method.
2206: Logically Collective
2208: Input Parameters:
2209: + snes - the `SNES` context
2210: - type - the type of the function evaluation, see `SNESSetFunctionType()`
2212: Level: advanced
2214: .seealso: [](ch_snes), `SNESSetFunctionType()`, `SNESFunctionType`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
2215: @*/
2216: PetscErrorCode SNESGetFunctionType(SNES snes, SNESFunctionType *type)
2217: {
2218: PetscFunctionBegin;
2220: *type = snes->functype;
2221: PetscFunctionReturn(PETSC_SUCCESS);
2222: }
2224: /*@C
2225: SNESSetNGS - Sets the user nonlinear Gauss-Seidel routine for
2226: use with composed nonlinear solvers.
2228: Input Parameters:
2229: + snes - the `SNES` context, usually of the `SNESType` `SNESNGS`
2230: . f - function evaluation routine to apply Gauss-Seidel, see `SNESNGSFn` for calling sequence
2231: - ctx - [optional] user-defined context for private data for the smoother evaluation routine (may be `NULL`)
2233: Level: intermediate
2235: Note:
2236: The `SNESNGS` routines are used by the composed nonlinear solver to generate
2237: a problem appropriate update to the solution, particularly `SNESFAS`.
2239: .seealso: [](ch_snes), `SNESNGS`, `SNESGetNGS()`, `SNESNCG`, `SNESGetFunction()`, `SNESComputeNGS()`, `SNESNGSFn`
2240: @*/
2241: PetscErrorCode SNESSetNGS(SNES snes, SNESNGSFn *f, PetscCtx ctx)
2242: {
2243: DM dm;
2245: PetscFunctionBegin;
2247: PetscCall(SNESGetDM(snes, &dm));
2248: PetscCall(DMSNESSetNGS(dm, f, ctx));
2249: PetscFunctionReturn(PETSC_SUCCESS);
2250: }
2252: /*
2253: This is used for -snes_mf_operator; it uses a duplicate of snes->jacobian_pre because snes->jacobian_pre cannot be
2254: changed during the KSPSolve()
2255: */
2256: PetscErrorCode SNESPicardComputeMFFunction(SNES snes, Vec x, Vec f, PetscCtx ctx)
2257: {
2258: DM dm;
2259: DMSNES sdm;
2261: PetscFunctionBegin;
2262: PetscCall(SNESGetDM(snes, &dm));
2263: PetscCall(DMGetDMSNES(dm, &sdm));
2264: /* A(x)*x - b(x) */
2265: if (sdm->ops->computepfunction) {
2266: PetscCallBack("SNES Picard callback function", (*sdm->ops->computepfunction)(snes, x, f, sdm->pctx));
2267: PetscCall(VecScale(f, -1.0));
2268: /* Cannot share nonzero pattern because of the possible use of SNESComputeJacobianDefault() */
2269: if (!snes->picard) PetscCall(MatDuplicate(snes->jacobian_pre, MAT_DO_NOT_COPY_VALUES, &snes->picard));
2270: PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->picard, snes->picard, sdm->pctx));
2271: PetscCall(MatMultAdd(snes->picard, x, f, f));
2272: } else {
2273: PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->picard, snes->picard, sdm->pctx));
2274: PetscCall(MatMult(snes->picard, x, f));
2275: }
2276: PetscFunctionReturn(PETSC_SUCCESS);
2277: }
2279: PetscErrorCode SNESPicardComputeFunction(SNES snes, Vec x, Vec f, PetscCtx ctx)
2280: {
2281: DM dm;
2282: DMSNES sdm;
2284: PetscFunctionBegin;
2285: PetscCall(SNESGetDM(snes, &dm));
2286: PetscCall(DMGetDMSNES(dm, &sdm));
2287: /* A(x)*x - b(x) */
2288: if (sdm->ops->computepfunction) {
2289: PetscCallBack("SNES Picard callback function", (*sdm->ops->computepfunction)(snes, x, f, sdm->pctx));
2290: PetscCall(VecScale(f, -1.0));
2291: PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->jacobian, snes->jacobian_pre, sdm->pctx));
2292: PetscCall(MatMultAdd(snes->jacobian_pre, x, f, f));
2293: } else {
2294: PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->jacobian, snes->jacobian_pre, sdm->pctx));
2295: PetscCall(MatMult(snes->jacobian_pre, x, f));
2296: }
2297: PetscFunctionReturn(PETSC_SUCCESS);
2298: }
2300: PetscErrorCode SNESPicardComputeJacobian(SNES snes, Vec x1, Mat J, Mat B, PetscCtx ctx)
2301: {
2302: PetscFunctionBegin;
2303: /* the jacobian matrix should be pre-filled in SNESPicardComputeFunction */
2304: /* must assembly if matrix-free to get the last SNES solution */
2305: PetscCall(MatAssemblyBegin(J, MAT_FINAL_ASSEMBLY));
2306: PetscCall(MatAssemblyEnd(J, MAT_FINAL_ASSEMBLY));
2307: PetscFunctionReturn(PETSC_SUCCESS);
2308: }
2310: /*@C
2311: SNESSetPicard - Use `SNES` to solve the system $A(x) x = bp(x) + b $ via a Picard type iteration (Picard linearization)
2313: Logically Collective
2315: Input Parameters:
2316: + snes - the `SNES` context
2317: . r - vector to store function values, may be `NULL`
2318: . bp - function evaluation routine, may be `NULL`, for the calling sequence see `SNESFunctionFn`
2319: . Amat - matrix with which $A(x) x - bp(x) - b$ is to be computed
2320: . Pmat - matrix from which preconditioner is computed (usually the same as `Amat`)
2321: . J - function to compute matrix values, for the calling sequence see `SNESJacobianFn`
2322: - ctx - [optional] user-defined context for private data for the function evaluation routine (may be `NULL`)
2324: Level: intermediate
2326: Notes:
2327: It is often better to provide the nonlinear function $F()$ and some approximation to its Jacobian directly and use
2328: an approximate Newton solver. This interface is provided to allow porting/testing a previous Picard based code in PETSc before converting it to approximate Newton.
2330: One can call `SNESSetPicard()` or `SNESSetFunction()` (and possibly `SNESSetJacobian()`) but cannot call both
2332: Solves the equation $A(x) x = bp(x) - b$ via the defect correction algorithm $A(x^{n}) (x^{n+1} - x^{n}) = bp(x^{n}) + b - A(x^{n})x^{n}$.
2333: When an exact solver is used this corresponds to the "classic" Picard $A(x^{n}) x^{n+1} = bp(x^{n}) + b$ iteration.
2335: Run with `-snes_mf_operator` to solve the system with Newton's method using $A(x^{n})$ to construct the preconditioner.
2337: We implement the defect correction form of the Picard iteration because it converges much more generally when inexact linear solvers are used then
2338: the direct Picard iteration $A(x^n) x^{n+1} = bp(x^n) + b$
2340: There is some controversity over the definition of a Picard iteration for nonlinear systems but almost everyone agrees that it involves a linear solve and some
2341: believe it is the iteration $A(x^{n}) x^{n+1} = b(x^{n})$ hence we use the name Picard. If anyone has an authoritative reference that defines the Picard iteration
2342: different please contact us at petsc-dev@mcs.anl.gov and we'll have an entirely new argument \:-).
2344: When used with `-snes_mf_operator` this will run matrix-free Newton's method where the matrix-vector product is of the true Jacobian of $A(x)x - bp(x) - b$ and
2345: $A(x^{n})$ is used to build the preconditioner
2347: When used with `-snes_fd` this will compute the true Jacobian (very slowly one column at a time) and thus represent Newton's method.
2349: When used with `-snes_fd_coloring` this will compute the Jacobian via coloring and thus represent a faster implementation of Newton's method. But the
2350: the nonzero structure of the Jacobian is, in general larger than that of the Picard matrix $A$ so you must provide in $A$ the needed nonzero structure for the correct
2351: coloring. When using `DMDA` this may mean creating the matrix $A$ with `DMCreateMatrix()` using a wider stencil than strictly needed for $A$ or with a `DMDA_STENCIL_BOX`.
2352: See the comment in src/snes/tutorials/ex15.c.
2354: .seealso: [](ch_snes), `SNES`, `SNESGetFunction()`, `SNESSetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESGetPicard()`, `SNESLineSearchPreCheckPicard()`,
2355: `SNESFunctionFn`, `SNESJacobianFn`
2356: @*/
2357: PetscErrorCode SNESSetPicard(SNES snes, Vec r, SNESFunctionFn *bp, Mat Amat, Mat Pmat, SNESJacobianFn *J, PetscCtx ctx)
2358: {
2359: DM dm;
2361: PetscFunctionBegin;
2363: PetscCall(SNESGetDM(snes, &dm));
2364: PetscCall(DMSNESSetPicard(dm, bp, J, ctx));
2365: PetscCall(DMSNESSetMFFunction(dm, SNESPicardComputeMFFunction, ctx));
2366: PetscCall(SNESSetFunction(snes, r, SNESPicardComputeFunction, ctx));
2367: PetscCall(SNESSetJacobian(snes, Amat, Pmat, SNESPicardComputeJacobian, ctx));
2368: PetscFunctionReturn(PETSC_SUCCESS);
2369: }
2371: /*@C
2372: SNESGetPicard - Returns the context for the Picard iteration
2374: Not Collective, but `Vec` is parallel if `SNES` is parallel. Collective if `Vec` is requested, but has not been created yet.
2376: Input Parameter:
2377: . snes - the `SNES` context
2379: Output Parameters:
2380: + r - the function (or `NULL`)
2381: . f - the function (or `NULL`); for calling sequence see `SNESFunctionFn`
2382: . Amat - the matrix used to defined the operation A(x) x - b(x) (or `NULL`)
2383: . Pmat - the matrix from which the preconditioner will be constructed (or `NULL`)
2384: . J - the function for matrix evaluation (or `NULL`); for calling sequence see `SNESJacobianFn`
2385: - ctx - the function context (or `NULL`)
2387: Level: advanced
2389: .seealso: [](ch_snes), `SNESSetFunction()`, `SNESSetPicard()`, `SNESGetFunction()`, `SNESGetJacobian()`, `SNESGetDM()`, `SNESFunctionFn`, `SNESJacobianFn`
2390: @*/
2391: PetscErrorCode SNESGetPicard(SNES snes, Vec *r, SNESFunctionFn **f, Mat *Amat, Mat *Pmat, SNESJacobianFn **J, PetscCtxRt ctx)
2392: {
2393: DM dm;
2395: PetscFunctionBegin;
2397: PetscCall(SNESGetFunction(snes, r, NULL, NULL));
2398: PetscCall(SNESGetJacobian(snes, Amat, Pmat, NULL, NULL));
2399: PetscCall(SNESGetDM(snes, &dm));
2400: PetscCall(DMSNESGetPicard(dm, f, J, ctx));
2401: PetscFunctionReturn(PETSC_SUCCESS);
2402: }
2404: /*@C
2405: SNESSetComputeInitialGuess - Sets a routine used to compute an initial guess for the nonlinear problem
2407: Logically Collective
2409: Input Parameters:
2410: + snes - the `SNES` context
2411: . func - function evaluation routine, see `SNESInitialGuessFn` for the calling sequence
2412: - ctx - [optional] user-defined context for private data for the
2413: function evaluation routine (may be `NULL`)
2415: Level: intermediate
2417: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESInitialGuessFn`
2418: @*/
2419: PetscErrorCode SNESSetComputeInitialGuess(SNES snes, SNESInitialGuessFn *func, PetscCtx ctx)
2420: {
2421: PetscFunctionBegin;
2423: if (func) snes->ops->computeinitialguess = func;
2424: if (ctx) snes->initialguessP = ctx;
2425: PetscFunctionReturn(PETSC_SUCCESS);
2426: }
2428: /*@C
2429: SNESGetRhs - Gets the vector for solving F(x) = `rhs`. If `rhs` is not set
2430: it assumes a zero right-hand side.
2432: Logically Collective
2434: Input Parameter:
2435: . snes - the `SNES` context
2437: Output Parameter:
2438: . rhs - the right-hand side vector or `NULL` if there is no right-hand side vector
2440: Level: intermediate
2442: .seealso: [](ch_snes), `SNES`, `SNESGetSolution()`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESSetFunction()`
2443: @*/
2444: PetscErrorCode SNESGetRhs(SNES snes, Vec *rhs)
2445: {
2446: PetscFunctionBegin;
2448: PetscAssertPointer(rhs, 2);
2449: *rhs = snes->vec_rhs;
2450: PetscFunctionReturn(PETSC_SUCCESS);
2451: }
2453: /*@
2454: SNESComputeFunction - Calls the function that has been set with `SNESSetFunction()`.
2456: Collective
2458: Input Parameters:
2459: + snes - the `SNES` context
2460: - x - input vector
2462: Output Parameter:
2463: . f - function vector, as set by `SNESSetFunction()`
2465: Level: developer
2467: Notes:
2468: `SNESComputeFunction()` is typically used within nonlinear solvers
2469: implementations, so users would not generally call this routine themselves.
2471: When solving for $F(x) = b$, this routine computes $f = F(x) - b$.
2473: This function usually appears in the pattern.
2474: .vb
2475: SNESComputeFunction(snes, x, f);
2476: VecNorm(f, &fnorm);
2477: SNESCheckFunctionDomainError(snes, fnorm); or SNESLineSearchCheckFunctionDomainError(ls, fnorm);
2478: .ve
2479: to collectively handle the use of `SNESSetFunctionDomainError()` in the provided callback function.
2481: .seealso: [](ch_snes), `SNES`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeMFFunction()`, `SNESSetFunctionDomainError()`
2482: @*/
2483: PetscErrorCode SNESComputeFunction(SNES snes, Vec x, Vec f)
2484: {
2485: DM dm;
2486: DMSNES sdm;
2488: PetscFunctionBegin;
2492: PetscCheckSameComm(snes, 1, x, 2);
2493: PetscCheckSameComm(snes, 1, f, 3);
2494: PetscCall(VecValidValues_Internal(x, 2, PETSC_TRUE));
2496: PetscCall(SNESGetDM(snes, &dm));
2497: PetscCall(DMGetDMSNES(dm, &sdm));
2498: PetscCheck(sdm->ops->computefunction || snes->vec_rhs, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetFunction() or SNESSetDM() before SNESComputeFunction(), likely called from SNESSolve().");
2499: if (sdm->ops->computefunction) {
2500: if (sdm->ops->computefunction != SNESObjectiveComputeFunctionDefaultFD) PetscCall(PetscLogEventBegin(SNES_FunctionEval, snes, x, f, 0));
2501: PetscCall(VecLockReadPush(x));
2502: /* ensure domainerror is false prior to computefunction evaluation (may not have been reset) */
2503: snes->functiondomainerror = PETSC_FALSE;
2504: {
2505: void *ctx;
2506: SNESFunctionFn *computefunction;
2507: PetscCall(DMSNESGetFunction(dm, &computefunction, &ctx));
2508: PetscCallBack("SNES callback function", (*computefunction)(snes, x, f, ctx));
2509: }
2510: PetscCall(VecLockReadPop(x));
2511: if (sdm->ops->computefunction != SNESObjectiveComputeFunctionDefaultFD) PetscCall(PetscLogEventEnd(SNES_FunctionEval, snes, x, f, 0));
2512: } else /* if (snes->vec_rhs) */ {
2513: PetscCall(MatMult(snes->jacobian, x, f));
2514: }
2515: if (snes->vec_rhs) PetscCall(VecAXPY(f, -1.0, snes->vec_rhs));
2516: snes->nfuncs++;
2517: /*
2518: domainerror might not be set on all processes; so we tag vector locally with infinity and the next inner product or norm will
2519: propagate the value to all processes
2520: */
2521: PetscCall(VecFlag(f, snes->functiondomainerror));
2522: PetscFunctionReturn(PETSC_SUCCESS);
2523: }
2525: /*@
2526: SNESComputeMFFunction - Calls the function that has been set with `DMSNESSetMFFunction()`.
2528: Collective
2530: Input Parameters:
2531: + snes - the `SNES` context
2532: - x - input vector
2534: Output Parameter:
2535: . y - output vector
2537: Level: developer
2539: Notes:
2540: `SNESComputeMFFunction()` is used within the matrix-vector products called by the matrix created with `MatCreateSNESMF()`
2541: so users would not generally call this routine themselves.
2543: Since this function is intended for use with finite differencing it does not subtract the right-hand side vector provided with `SNESSolve()`
2544: while `SNESComputeFunction()` does. As such, this routine cannot be used with `MatMFFDSetBase()` with a provided F function value even if it applies the
2545: same function as `SNESComputeFunction()` if a `SNESSolve()` right-hand side vector is use because the two functions difference would include this right hand side function.
2547: .seealso: [](ch_snes), `SNES`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeFunction()`, `MatCreateSNESMF()`, `DMSNESSetMFFunction()`
2548: @*/
2549: PetscErrorCode SNESComputeMFFunction(SNES snes, Vec x, Vec y)
2550: {
2551: DM dm;
2552: DMSNES sdm;
2554: PetscFunctionBegin;
2558: PetscCheckSameComm(snes, 1, x, 2);
2559: PetscCheckSameComm(snes, 1, y, 3);
2560: PetscCall(VecValidValues_Internal(x, 2, PETSC_TRUE));
2562: PetscCall(SNESGetDM(snes, &dm));
2563: PetscCall(DMGetDMSNES(dm, &sdm));
2564: PetscCall(PetscLogEventBegin(SNES_FunctionEval, snes, x, y, 0));
2565: PetscCall(VecLockReadPush(x));
2566: /* ensure domainerror is false prior to computefunction evaluation (may not have been reset) */
2567: snes->functiondomainerror = PETSC_FALSE;
2568: PetscCallBack("SNES callback function", (*sdm->ops->computemffunction)(snes, x, y, sdm->mffunctionctx));
2569: PetscCall(VecLockReadPop(x));
2570: PetscCall(PetscLogEventEnd(SNES_FunctionEval, snes, x, y, 0));
2571: snes->nfuncs++;
2572: /*
2573: domainerror might not be set on all processes; so we tag vector locally with infinity and the next inner product or norm will
2574: propagate the value to all processes
2575: */
2576: PetscCall(VecFlag(y, snes->functiondomainerror));
2577: PetscFunctionReturn(PETSC_SUCCESS);
2578: }
2580: /*@
2581: SNESComputeNGS - Calls the Gauss-Seidel function that has been set with `SNESSetNGS()`.
2583: Collective
2585: Input Parameters:
2586: + snes - the `SNES` context
2587: . x - input vector
2588: - b - rhs vector
2590: Output Parameter:
2591: . x - new solution vector
2593: Level: developer
2595: Note:
2596: `SNESComputeNGS()` is typically used within composed nonlinear solver
2597: implementations, so most users would not generally call this routine
2598: themselves.
2600: .seealso: [](ch_snes), `SNESNGSFn`, `SNESSetNGS()`, `SNESComputeFunction()`, `SNESNGS`
2601: @*/
2602: PetscErrorCode SNESComputeNGS(SNES snes, Vec b, Vec x)
2603: {
2604: DM dm;
2605: DMSNES sdm;
2607: PetscFunctionBegin;
2611: PetscCheckSameComm(snes, 1, x, 3);
2612: if (b) PetscCheckSameComm(snes, 1, b, 2);
2613: if (b) PetscCall(VecValidValues_Internal(b, 2, PETSC_TRUE));
2614: PetscCall(PetscLogEventBegin(SNES_NGSEval, snes, x, b, 0));
2615: PetscCall(SNESGetDM(snes, &dm));
2616: PetscCall(DMGetDMSNES(dm, &sdm));
2617: PetscCheck(sdm->ops->computegs, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetNGS() before SNESComputeNGS(), likely called from SNESSolve().");
2618: if (b) PetscCall(VecLockReadPush(b));
2619: PetscCallBack("SNES callback NGS", (*sdm->ops->computegs)(snes, x, b, sdm->gsctx));
2620: if (b) PetscCall(VecLockReadPop(b));
2621: PetscCall(PetscLogEventEnd(SNES_NGSEval, snes, x, b, 0));
2622: PetscFunctionReturn(PETSC_SUCCESS);
2623: }
2625: static PetscErrorCode SNESComputeFunction_FD(SNES snes, Vec Xin, Vec G)
2626: {
2627: Vec X;
2628: PetscScalar *g;
2629: PetscReal f, f2;
2630: PetscInt low, high, N, i;
2631: PetscBool flg;
2632: PetscReal h = .5 * PETSC_SQRT_MACHINE_EPSILON;
2634: PetscFunctionBegin;
2635: PetscCall(PetscOptionsGetReal(((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_fd_delta", &h, &flg));
2636: PetscCall(VecDuplicate(Xin, &X));
2637: PetscCall(VecCopy(Xin, X));
2638: PetscCall(VecGetSize(X, &N));
2639: PetscCall(VecGetOwnershipRange(X, &low, &high));
2640: PetscCall(VecSetOption(X, VEC_IGNORE_OFF_PROC_ENTRIES, PETSC_TRUE));
2641: PetscCall(VecGetArray(G, &g));
2642: for (i = 0; i < N; i++) {
2643: PetscCall(VecSetValue(X, i, -h, ADD_VALUES));
2644: PetscCall(VecAssemblyBegin(X));
2645: PetscCall(VecAssemblyEnd(X));
2646: PetscCall(SNESComputeObjective(snes, X, &f));
2647: PetscCall(VecSetValue(X, i, 2.0 * h, ADD_VALUES));
2648: PetscCall(VecAssemblyBegin(X));
2649: PetscCall(VecAssemblyEnd(X));
2650: PetscCall(SNESComputeObjective(snes, X, &f2));
2651: PetscCall(VecSetValue(X, i, -h, ADD_VALUES));
2652: PetscCall(VecAssemblyBegin(X));
2653: PetscCall(VecAssemblyEnd(X));
2654: if (i >= low && i < high) g[i - low] = (f2 - f) / (2.0 * h);
2655: }
2656: PetscCall(VecRestoreArray(G, &g));
2657: PetscCall(VecDestroy(&X));
2658: PetscFunctionReturn(PETSC_SUCCESS);
2659: }
2661: /*@
2662: SNESTestFunction - Computes the difference between the computed and finite-difference functions
2664: Collective
2666: Input Parameter:
2667: . snes - the `SNES` context
2669: Options Database Keys:
2670: + -snes_test_function - compare the user provided function with one compute via finite differences to check for errors.
2671: - -snes_test_function_view - display the user provided function, the finite difference function and the difference
2673: Level: developer
2675: .seealso: [](ch_snes), `SNESTestJacobian()`, `SNESSetFunction()`, `SNESComputeFunction()`
2676: @*/
2677: PetscErrorCode SNESTestFunction(SNES snes)
2678: {
2679: Vec x, g1, g2, g3;
2680: PetscBool complete_print = PETSC_FALSE;
2681: PetscReal hcnorm, fdnorm, hcmax, fdmax, diffmax, diffnorm;
2682: PetscScalar dot;
2683: MPI_Comm comm;
2684: PetscViewer viewer, mviewer;
2685: PetscViewerFormat format;
2686: PetscInt tabs;
2687: static PetscBool directionsprinted = PETSC_FALSE;
2688: SNESObjectiveFn *objective;
2690: PetscFunctionBegin;
2691: PetscCall(SNESGetObjective(snes, &objective, NULL));
2692: if (!objective) PetscFunctionReturn(PETSC_SUCCESS);
2694: PetscObjectOptionsBegin((PetscObject)snes);
2695: PetscCall(PetscOptionsViewer("-snes_test_function_view", "View difference between hand-coded and finite difference function element entries", "None", &mviewer, &format, &complete_print));
2696: PetscOptionsEnd();
2698: PetscCall(PetscObjectGetComm((PetscObject)snes, &comm));
2699: PetscCall(PetscViewerASCIIGetStdout(comm, &viewer));
2700: PetscCall(PetscViewerASCIIGetTab(viewer, &tabs));
2701: PetscCall(PetscViewerASCIISetTab(viewer, ((PetscObject)snes)->tablevel));
2702: PetscCall(PetscViewerASCIIPrintf(viewer, " ---------- Testing Function -------------\n"));
2703: if (!complete_print && !directionsprinted) {
2704: PetscCall(PetscViewerASCIIPrintf(viewer, " Run with -snes_test_function_view and optionally -snes_test_function <threshold> to show difference\n"));
2705: PetscCall(PetscViewerASCIIPrintf(viewer, " of hand-coded and finite difference function entries greater than <threshold>.\n"));
2706: }
2707: if (!directionsprinted) {
2708: PetscCall(PetscViewerASCIIPrintf(viewer, " Testing hand-coded Function, if (for double precision runs) ||F - Ffd||/||F|| is\n"));
2709: PetscCall(PetscViewerASCIIPrintf(viewer, " O(1.e-8), the hand-coded Function is probably correct.\n"));
2710: directionsprinted = PETSC_TRUE;
2711: }
2712: if (complete_print) PetscCall(PetscViewerPushFormat(mviewer, format));
2714: PetscCall(SNESGetSolution(snes, &x));
2715: PetscCall(VecDuplicate(x, &g1));
2716: PetscCall(VecDuplicate(x, &g2));
2717: PetscCall(VecDuplicate(x, &g3));
2718: PetscCall(SNESComputeFunction(snes, x, g1)); /* does not handle use of SNESSetFunctionDomainError() correctly */
2719: PetscCall(SNESComputeFunction_FD(snes, x, g2));
2721: PetscCall(VecNorm(g2, NORM_2, &fdnorm));
2722: PetscCall(VecNorm(g1, NORM_2, &hcnorm));
2723: PetscCall(VecNorm(g2, NORM_INFINITY, &fdmax));
2724: PetscCall(VecNorm(g1, NORM_INFINITY, &hcmax));
2725: PetscCall(VecDot(g1, g2, &dot));
2726: PetscCall(VecCopy(g1, g3));
2727: PetscCall(VecAXPY(g3, -1.0, g2));
2728: PetscCall(VecNorm(g3, NORM_2, &diffnorm));
2729: PetscCall(VecNorm(g3, NORM_INFINITY, &diffmax));
2730: PetscCall(PetscViewerASCIIPrintf(viewer, " ||Ffd|| %g, ||F|| = %g, angle cosine = (Ffd'F)/||Ffd||||F|| = %g\n", (double)fdnorm, (double)hcnorm, (double)(PetscRealPart(dot) / (fdnorm * hcnorm))));
2731: PetscCall(PetscViewerASCIIPrintf(viewer, " 2-norm ||F - Ffd||/||F|| = %g, ||F - Ffd|| = %g\n", (double)(diffnorm / PetscMax(hcnorm, fdnorm)), (double)diffnorm));
2732: PetscCall(PetscViewerASCIIPrintf(viewer, " max-norm ||F - Ffd||/||F|| = %g, ||F - Ffd|| = %g\n", (double)(diffmax / PetscMax(hcmax, fdmax)), (double)diffmax));
2734: if (complete_print) {
2735: PetscCall(PetscViewerASCIIPrintf(viewer, " Hand-coded function ----------\n"));
2736: PetscCall(VecView(g1, mviewer));
2737: PetscCall(PetscViewerASCIIPrintf(viewer, " Finite difference function ----------\n"));
2738: PetscCall(VecView(g2, mviewer));
2739: PetscCall(PetscViewerASCIIPrintf(viewer, " Hand-coded minus finite-difference function ----------\n"));
2740: PetscCall(VecView(g3, mviewer));
2741: }
2742: PetscCall(VecDestroy(&g1));
2743: PetscCall(VecDestroy(&g2));
2744: PetscCall(VecDestroy(&g3));
2746: if (complete_print) {
2747: PetscCall(PetscViewerPopFormat(mviewer));
2748: PetscCall(PetscViewerDestroy(&mviewer));
2749: }
2750: PetscCall(PetscViewerASCIISetTab(viewer, tabs));
2751: PetscFunctionReturn(PETSC_SUCCESS);
2752: }
2754: /*@
2755: SNESTestJacobian - Computes the difference between the computed and finite-difference Jacobians
2757: Collective
2759: Input Parameter:
2760: . snes - the `SNES` context
2762: Output Parameters:
2763: + Jnorm - the Frobenius norm of the computed Jacobian, or `NULL`
2764: - diffNorm - the Frobenius norm of the difference of the computed and finite-difference Jacobians, or `NULL`
2766: Options Database Keys:
2767: + -snes_test_jacobian [threshold] - compare the user provided Jacobian with one compute via finite differences to check for errors. If a threshold is given, display only those entries whose difference is greater than the threshold.
2768: - -snes_test_jacobian_view - display the user provided Jacobian, the finite difference Jacobian and the difference
2770: Level: developer
2772: Note:
2773: Directions and norms are printed to stdout if `diffNorm` is `NULL`.
2775: .seealso: [](ch_snes), `SNESTestFunction()`, `SNESSetJacobian()`, `SNESComputeJacobian()`
2776: @*/
2777: PetscErrorCode SNESTestJacobian(SNES snes, PetscReal *Jnorm, PetscReal *diffNorm)
2778: {
2779: Mat A, B, C, D, jacobian;
2780: Vec x = snes->vec_sol, f;
2781: PetscReal nrm, gnorm;
2782: PetscReal threshold = 1.e-5;
2783: void *functx;
2784: PetscBool complete_print = PETSC_FALSE, threshold_print = PETSC_FALSE, flg, istranspose;
2785: PetscBool silent = diffNorm != PETSC_NULLPTR ? PETSC_TRUE : PETSC_FALSE;
2786: PetscViewer viewer, mviewer;
2787: MPI_Comm comm;
2788: PetscInt tabs;
2789: static PetscBool directionsprinted = PETSC_FALSE;
2790: PetscViewerFormat format;
2792: PetscFunctionBegin;
2793: PetscObjectOptionsBegin((PetscObject)snes);
2794: PetscCall(PetscOptionsReal("-snes_test_jacobian", "Threshold for element difference between hand-coded and finite difference being meaningful", "None", threshold, &threshold, NULL));
2795: PetscCall(PetscOptionsDeprecated("-snes_test_jacobian_display", "-snes_test_jacobian_view", "3.13", NULL));
2796: PetscCall(PetscOptionsViewer("-snes_test_jacobian_view", "View difference between hand-coded and finite difference Jacobians element entries", "None", &mviewer, &format, &complete_print));
2797: PetscCall(PetscOptionsDeprecated("-snes_test_jacobian_display_threshold", "-snes_test_jacobian", "3.13", "-snes_test_jacobian accepts an optional threshold (since v3.10)"));
2798: PetscCall(PetscOptionsReal("-snes_test_jacobian_display_threshold", "Display difference between hand-coded and finite difference Jacobians which exceed input threshold", "None", threshold, &threshold, &threshold_print));
2799: PetscOptionsEnd();
2801: PetscCall(PetscObjectGetComm((PetscObject)snes, &comm));
2802: PetscCall(PetscViewerASCIIGetStdout(comm, &viewer));
2803: PetscCall(PetscViewerASCIIGetTab(viewer, &tabs));
2804: PetscCall(PetscViewerASCIISetTab(viewer, ((PetscObject)snes)->tablevel));
2805: if (!silent) PetscCall(PetscViewerASCIIPrintf(viewer, " ---------- Testing Jacobian -------------\n"));
2806: if (!complete_print && !silent && !directionsprinted) {
2807: PetscCall(PetscViewerASCIIPrintf(viewer, " Run with -snes_test_jacobian_view and optionally -snes_test_jacobian <threshold> to show difference\n"));
2808: PetscCall(PetscViewerASCIIPrintf(viewer, " of hand-coded and finite difference Jacobian entries greater than <threshold>.\n"));
2809: }
2810: if (!directionsprinted && !silent) {
2811: PetscCall(PetscViewerASCIIPrintf(viewer, " Testing hand-coded Jacobian, if (for double precision runs) ||J - Jfd||_F/||J||_F is\n"));
2812: PetscCall(PetscViewerASCIIPrintf(viewer, " O(1.e-8), the hand-coded Jacobian is probably correct.\n"));
2813: directionsprinted = PETSC_TRUE;
2814: }
2815: if (complete_print) PetscCall(PetscViewerPushFormat(mviewer, format));
2817: PetscCall(PetscObjectTypeCompare((PetscObject)snes->jacobian, MATMFFD, &flg));
2818: if (!flg) jacobian = snes->jacobian;
2819: else jacobian = snes->jacobian_pre;
2821: if (!x) PetscCall(MatCreateVecs(jacobian, &x, NULL));
2822: else PetscCall(PetscObjectReference((PetscObject)x));
2823: PetscCall(VecDuplicate(x, &f));
2825: /* evaluate the function at this point because SNESComputeJacobianDefault() assumes that the function has been evaluated and put into snes->vec_func */
2826: PetscCall(SNESComputeFunction(snes, x, f));
2827: PetscCall(VecDestroy(&f));
2828: PetscCall(PetscObjectTypeCompare((PetscObject)snes, SNESKSPTRANSPOSEONLY, &istranspose));
2829: while (jacobian) {
2830: Mat JT = NULL, Jsave = NULL;
2832: if (istranspose) {
2833: PetscCall(MatCreateTranspose(jacobian, &JT));
2834: Jsave = jacobian;
2835: jacobian = JT;
2836: }
2837: PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)jacobian, &flg, MATSEQAIJ, MATMPIAIJ, MATSEQDENSE, MATMPIDENSE, MATSEQBAIJ, MATMPIBAIJ, MATSEQSBAIJ, MATMPISBAIJ, ""));
2838: if (flg) {
2839: A = jacobian;
2840: PetscCall(PetscObjectReference((PetscObject)A));
2841: } else {
2842: PetscCall(MatComputeOperator(jacobian, MATAIJ, &A));
2843: }
2845: PetscCall(MatDuplicate(A, MAT_DO_NOT_COPY_VALUES, &B));
2846: PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
2848: PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
2849: PetscCall(SNESComputeJacobianDefault(snes, x, B, B, functx));
2851: PetscCall(MatDuplicate(B, MAT_COPY_VALUES, &D));
2852: PetscCall(MatAYPX(D, -1.0, A, DIFFERENT_NONZERO_PATTERN));
2853: PetscCall(MatNorm(D, NORM_FROBENIUS, &nrm));
2854: PetscCall(MatNorm(A, NORM_FROBENIUS, &gnorm));
2855: PetscCall(MatDestroy(&D));
2856: if (!gnorm) gnorm = 1; /* just in case */
2857: if (!silent) PetscCall(PetscViewerASCIIPrintf(viewer, " ||J - Jfd||_F/||J||_F = %g, ||J - Jfd||_F = %g\n", (double)(nrm / gnorm), (double)nrm));
2858: if (complete_print) {
2859: PetscCall(PetscViewerASCIIPrintf(viewer, " Hand-coded Jacobian ----------\n"));
2860: PetscCall(MatView(A, mviewer));
2861: PetscCall(PetscViewerASCIIPrintf(viewer, " Finite difference Jacobian ----------\n"));
2862: PetscCall(MatView(B, mviewer));
2863: }
2865: if (threshold_print || complete_print) {
2866: PetscInt Istart, Iend, *ccols, bncols, cncols, j, row;
2867: PetscScalar *cvals;
2868: const PetscInt *bcols;
2869: const PetscScalar *bvals;
2871: PetscCall(MatDuplicate(A, MAT_DO_NOT_COPY_VALUES, &C));
2872: PetscCall(MatSetOption(C, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
2874: PetscCall(MatAYPX(B, -1.0, A, DIFFERENT_NONZERO_PATTERN));
2875: PetscCall(MatGetOwnershipRange(B, &Istart, &Iend));
2877: for (row = Istart; row < Iend; row++) {
2878: PetscCall(MatGetRow(B, row, &bncols, &bcols, &bvals));
2879: PetscCall(PetscMalloc2(bncols, &ccols, bncols, &cvals));
2880: for (j = 0, cncols = 0; j < bncols; j++) {
2881: if (PetscAbsScalar(bvals[j]) > threshold) {
2882: ccols[cncols] = bcols[j];
2883: cvals[cncols] = bvals[j];
2884: cncols += 1;
2885: }
2886: }
2887: if (cncols) PetscCall(MatSetValues(C, 1, &row, cncols, ccols, cvals, INSERT_VALUES));
2888: PetscCall(MatRestoreRow(B, row, &bncols, &bcols, &bvals));
2889: PetscCall(PetscFree2(ccols, cvals));
2890: }
2891: PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
2892: PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
2893: PetscCall(PetscViewerASCIIPrintf(viewer, " Hand-coded minus finite-difference Jacobian with tolerance %g ----------\n", (double)threshold));
2894: PetscCall(MatView(C, complete_print ? mviewer : viewer));
2895: PetscCall(MatDestroy(&C));
2896: }
2897: PetscCall(MatDestroy(&A));
2898: PetscCall(MatDestroy(&B));
2899: PetscCall(MatDestroy(&JT));
2900: if (Jsave) jacobian = Jsave;
2901: if (jacobian != snes->jacobian_pre) {
2902: jacobian = snes->jacobian_pre;
2903: if (!silent) PetscCall(PetscViewerASCIIPrintf(viewer, " ---------- Testing Jacobian for preconditioner -------------\n"));
2904: } else jacobian = NULL;
2905: }
2906: PetscCall(VecDestroy(&x));
2907: if (complete_print) PetscCall(PetscViewerPopFormat(mviewer));
2908: PetscCall(PetscViewerDestroy(&mviewer));
2909: PetscCall(PetscViewerASCIISetTab(viewer, tabs));
2911: if (Jnorm) *Jnorm = gnorm;
2912: if (diffNorm) *diffNorm = nrm;
2913: PetscFunctionReturn(PETSC_SUCCESS);
2914: }
2916: /*@
2917: SNESComputeJacobian - Computes the Jacobian matrix that has been set with `SNESSetJacobian()`.
2919: Collective
2921: Input Parameters:
2922: + snes - the `SNES` context
2923: - X - input vector
2925: Output Parameters:
2926: + A - Jacobian matrix
2927: - B - optional matrix for building the preconditioner, usually the same as `A`
2929: Options Database Keys:
2930: + -snes_lag_preconditioner lag - how often to rebuild preconditioner
2931: . -snes_lag_jacobian lag - how often to rebuild Jacobian
2932: . -snes_test_jacobian [threshold] - compare the user provided Jacobian with one compute via finite differences to check for errors.
2933: If a threshold is given, display only those entries whose difference is greater than the threshold.
2934: . -snes_test_jacobian_view [viewer] - display the user provided Jacobian, the finite difference Jacobian and the difference between them to help users detect the location of errors in the user provided Jacobian
2935: . -snes_compare_explicit - Compare the computed Jacobian to the finite difference Jacobian and output the differences
2936: . -snes_compare_explicit_draw - Compare the computed Jacobian to the finite difference Jacobian and draw the result
2937: . -snes_compare_explicit_contour - Compare the computed Jacobian to the finite difference Jacobian and draw a contour plot with the result
2938: . -snes_compare_operator - Make the comparison options above use the operator instead of the matrix used to construct the preconditioner
2939: . -snes_compare_coloring - Compute the finite difference Jacobian using coloring and display norms of difference
2940: . -snes_compare_coloring_display - Compute the finite difference Jacobian using coloring and display verbose differences
2941: . -snes_compare_coloring_threshold - Display only those matrix entries that differ by more than a given threshold
2942: . -snes_compare_coloring_threshold_atol - Absolute tolerance for difference in matrix entries to be displayed by `-snes_compare_coloring_threshold`
2943: . -snes_compare_coloring_threshold_rtol - Relative tolerance for difference in matrix entries to be displayed by `-snes_compare_coloring_threshold`
2944: . -snes_compare_coloring_draw - Compute the finite difference Jacobian using coloring and draw differences
2945: - -snes_compare_coloring_draw_contour - Compute the finite difference Jacobian using coloring and show contours of matrices and differences
2947: Level: developer
2949: Note:
2950: Most users should not need to explicitly call this routine, as it
2951: is used internally within the nonlinear solvers.
2953: Developer Note:
2954: This has duplicative ways of checking the accuracy of the user provided Jacobian (see the options above). This is for historical reasons, the routine `SNESTestJacobian()` use to used
2955: with the `SNESType` of test that has been removed.
2957: .seealso: [](ch_snes), `SNESSetJacobian()`, `KSPSetOperators()`, `MatStructure`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobian()`,
2958: `SNESSetJacobianDomainError()`, `SNESCheckJacobianDomainError()`, `SNESSetCheckJacobianDomainError()`
2959: @*/
2960: PetscErrorCode SNESComputeJacobian(SNES snes, Vec X, Mat A, Mat B)
2961: {
2962: PetscBool flag;
2963: DM dm;
2964: DMSNES sdm;
2965: KSP ksp;
2967: PetscFunctionBegin;
2970: PetscCheckSameComm(snes, 1, X, 2);
2971: PetscCall(VecValidValues_Internal(X, 2, PETSC_TRUE));
2972: PetscCall(SNESGetDM(snes, &dm));
2973: PetscCall(DMGetDMSNES(dm, &sdm));
2975: /* make sure that MatAssemblyBegin/End() is called on A matrix if it is matrix-free */
2976: if (snes->lagjacobian == -2) {
2977: snes->lagjacobian = -1;
2979: PetscCall(PetscInfo(snes, "Recomputing Jacobian/preconditioner because lag is -2 (means compute Jacobian, but then never again) \n"));
2980: } else if (snes->lagjacobian == -1) {
2981: PetscCall(PetscInfo(snes, "Reusing Jacobian/preconditioner because lag is -1\n"));
2982: PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMFFD, &flag));
2983: if (flag) {
2984: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
2985: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
2986: }
2987: PetscFunctionReturn(PETSC_SUCCESS);
2988: } else if (snes->lagjacobian > 1 && (snes->iter + snes->jac_iter) % snes->lagjacobian) {
2989: PetscCall(PetscInfo(snes, "Reusing Jacobian/preconditioner because lag is %" PetscInt_FMT " and SNES iteration is %" PetscInt_FMT "\n", snes->lagjacobian, snes->iter));
2990: PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMFFD, &flag));
2991: if (flag) {
2992: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
2993: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
2994: }
2995: PetscFunctionReturn(PETSC_SUCCESS);
2996: }
2997: if (snes->npc && snes->npcside == PC_LEFT) {
2998: PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
2999: PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
3000: PetscFunctionReturn(PETSC_SUCCESS);
3001: }
3003: PetscCall(PetscLogEventBegin(SNES_JacobianEval, snes, X, A, B));
3004: PetscCall(VecLockReadPush(X));
3005: {
3006: void *ctx;
3007: SNESJacobianFn *J;
3008: PetscCall(DMSNESGetJacobian(dm, &J, &ctx));
3009: PetscCallBack("SNES callback Jacobian", (*J)(snes, X, A, B, ctx));
3010: }
3011: PetscCall(VecLockReadPop(X));
3012: PetscCall(PetscLogEventEnd(SNES_JacobianEval, snes, X, A, B));
3014: /* attach latest linearization point to the matrix used to construct the preconditioner */
3015: PetscCall(PetscObjectCompose((PetscObject)B, "__SNES_latest_X", (PetscObject)X));
3017: /* the next line ensures that snes->ksp exists */
3018: PetscCall(SNESGetKSP(snes, &ksp));
3019: if (snes->lagpreconditioner == -2) {
3020: PetscCall(PetscInfo(snes, "Rebuilding preconditioner exactly once since lag is -2\n"));
3021: PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_FALSE));
3022: snes->lagpreconditioner = -1;
3023: } else if (snes->lagpreconditioner == -1) {
3024: PetscCall(PetscInfo(snes, "Reusing preconditioner because lag is -1\n"));
3025: PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_TRUE));
3026: } else if (snes->lagpreconditioner > 1 && (snes->iter + snes->pre_iter) % snes->lagpreconditioner) {
3027: PetscCall(PetscInfo(snes, "Reusing preconditioner because lag is %" PetscInt_FMT " and SNES iteration is %" PetscInt_FMT "\n", snes->lagpreconditioner, snes->iter));
3028: PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_TRUE));
3029: } else {
3030: PetscCall(PetscInfo(snes, "Rebuilding preconditioner\n"));
3031: PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_FALSE));
3032: }
3034: /* monkey business to allow testing Jacobians in multilevel solvers.
3035: This is needed because the SNESTestXXX interface does not accept vectors and matrices */
3036: {
3037: Vec xsave = snes->vec_sol;
3038: Mat jacobiansave = snes->jacobian;
3039: Mat jacobian_presave = snes->jacobian_pre;
3041: snes->vec_sol = X;
3042: snes->jacobian = A;
3043: snes->jacobian_pre = B;
3044: if (snes->testFunc) PetscCall(SNESTestFunction(snes));
3045: if (snes->testJac) PetscCall(SNESTestJacobian(snes, NULL, NULL));
3047: snes->vec_sol = xsave;
3048: snes->jacobian = jacobiansave;
3049: snes->jacobian_pre = jacobian_presave;
3050: }
3052: {
3053: PetscBool flag = PETSC_FALSE, flag_draw = PETSC_FALSE, flag_contour = PETSC_FALSE, flag_operator = PETSC_FALSE;
3054: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit", NULL, NULL, &flag));
3055: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit_draw", NULL, NULL, &flag_draw));
3056: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit_draw_contour", NULL, NULL, &flag_contour));
3057: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_operator", NULL, NULL, &flag_operator));
3058: if (flag || flag_draw || flag_contour) {
3059: Mat Bexp_mine = NULL, Bexp, FDexp;
3060: PetscViewer vdraw, vstdout;
3061: PetscBool flg;
3062: if (flag_operator) {
3063: PetscCall(MatComputeOperator(A, MATAIJ, &Bexp_mine));
3064: Bexp = Bexp_mine;
3065: } else {
3066: /* See if the matrix used to construct the preconditioner can be viewed and added directly */
3067: PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)B, &flg, MATSEQAIJ, MATMPIAIJ, MATSEQDENSE, MATMPIDENSE, MATSEQBAIJ, MATMPIBAIJ, MATSEQSBAIJ, MATMPISBAIJ, ""));
3068: if (flg) Bexp = B;
3069: else {
3070: /* If the "preconditioning" matrix is itself MATSHELL or some other type without direct support */
3071: PetscCall(MatComputeOperator(B, MATAIJ, &Bexp_mine));
3072: Bexp = Bexp_mine;
3073: }
3074: }
3075: PetscCall(MatConvert(Bexp, MATSAME, MAT_INITIAL_MATRIX, &FDexp));
3076: PetscCall(SNESComputeJacobianDefault(snes, X, FDexp, FDexp, NULL));
3077: PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &vstdout));
3078: if (flag_draw || flag_contour) {
3079: PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, "Explicit Jacobians", PETSC_DECIDE, PETSC_DECIDE, 300, 300, &vdraw));
3080: if (flag_contour) PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
3081: } else vdraw = NULL;
3082: PetscCall(PetscViewerASCIIPrintf(vstdout, "Explicit %s\n", flag_operator ? "Jacobian" : "preconditioning Jacobian"));
3083: if (flag) PetscCall(MatView(Bexp, vstdout));
3084: if (vdraw) PetscCall(MatView(Bexp, vdraw));
3085: PetscCall(PetscViewerASCIIPrintf(vstdout, "Finite difference Jacobian\n"));
3086: if (flag) PetscCall(MatView(FDexp, vstdout));
3087: if (vdraw) PetscCall(MatView(FDexp, vdraw));
3088: PetscCall(MatAYPX(FDexp, -1.0, Bexp, SAME_NONZERO_PATTERN));
3089: PetscCall(PetscViewerASCIIPrintf(vstdout, "User-provided matrix minus finite difference Jacobian\n"));
3090: if (flag) PetscCall(MatView(FDexp, vstdout));
3091: if (vdraw) { /* Always use contour for the difference */
3092: PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
3093: PetscCall(MatView(FDexp, vdraw));
3094: PetscCall(PetscViewerPopFormat(vdraw));
3095: }
3096: if (flag_contour) PetscCall(PetscViewerPopFormat(vdraw));
3097: PetscCall(PetscViewerDestroy(&vdraw));
3098: PetscCall(MatDestroy(&Bexp_mine));
3099: PetscCall(MatDestroy(&FDexp));
3100: }
3101: }
3102: {
3103: PetscBool flag = PETSC_FALSE, flag_display = PETSC_FALSE, flag_draw = PETSC_FALSE, flag_contour = PETSC_FALSE, flag_threshold = PETSC_FALSE;
3104: PetscReal threshold_atol = PETSC_SQRT_MACHINE_EPSILON, threshold_rtol = 10 * PETSC_SQRT_MACHINE_EPSILON;
3105: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring", NULL, NULL, &flag));
3106: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_display", NULL, NULL, &flag_display));
3107: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_draw", NULL, NULL, &flag_draw));
3108: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_draw_contour", NULL, NULL, &flag_contour));
3109: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold", NULL, NULL, &flag_threshold));
3110: if (flag_threshold) {
3111: PetscCall(PetscOptionsGetReal(((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold_rtol", &threshold_rtol, NULL));
3112: PetscCall(PetscOptionsGetReal(((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold_atol", &threshold_atol, NULL));
3113: }
3114: if (flag || flag_display || flag_draw || flag_contour || flag_threshold) {
3115: Mat Bfd;
3116: PetscViewer vdraw, vstdout;
3117: MatColoring coloring;
3118: ISColoring iscoloring;
3119: MatFDColoring matfdcoloring;
3120: SNESFunctionFn *func;
3121: void *funcctx;
3122: PetscReal norm1, norm2, normmax;
3124: PetscCall(MatDuplicate(B, MAT_DO_NOT_COPY_VALUES, &Bfd));
3125: PetscCall(MatColoringCreate(Bfd, &coloring));
3126: PetscCall(MatColoringSetType(coloring, MATCOLORINGSL));
3127: PetscCall(MatColoringSetFromOptions(coloring));
3128: PetscCall(MatColoringApply(coloring, &iscoloring));
3129: PetscCall(MatColoringDestroy(&coloring));
3130: PetscCall(MatFDColoringCreate(Bfd, iscoloring, &matfdcoloring));
3131: PetscCall(MatFDColoringSetFromOptions(matfdcoloring));
3132: PetscCall(MatFDColoringSetUp(Bfd, iscoloring, matfdcoloring));
3133: PetscCall(ISColoringDestroy(&iscoloring));
3135: /* This method of getting the function is currently unreliable since it doesn't work for DM local functions. */
3136: PetscCall(SNESGetFunction(snes, NULL, &func, &funcctx));
3137: PetscCall(MatFDColoringSetFunction(matfdcoloring, (MatFDColoringFn *)func, funcctx));
3138: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)matfdcoloring, ((PetscObject)snes)->prefix));
3139: PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)matfdcoloring, "coloring_"));
3140: PetscCall(MatFDColoringSetFromOptions(matfdcoloring));
3141: PetscCall(MatFDColoringApply(Bfd, matfdcoloring, X, snes));
3142: PetscCall(MatFDColoringDestroy(&matfdcoloring));
3144: PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &vstdout));
3145: if (flag_draw || flag_contour) {
3146: PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, "Colored Jacobians", PETSC_DECIDE, PETSC_DECIDE, 300, 300, &vdraw));
3147: if (flag_contour) PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
3148: } else vdraw = NULL;
3149: PetscCall(PetscViewerASCIIPrintf(vstdout, "Explicit preconditioning Jacobian\n"));
3150: if (flag_display) PetscCall(MatView(B, vstdout));
3151: if (vdraw) PetscCall(MatView(B, vdraw));
3152: PetscCall(PetscViewerASCIIPrintf(vstdout, "Colored Finite difference Jacobian\n"));
3153: if (flag_display) PetscCall(MatView(Bfd, vstdout));
3154: if (vdraw) PetscCall(MatView(Bfd, vdraw));
3155: PetscCall(MatAYPX(Bfd, -1.0, B, SAME_NONZERO_PATTERN));
3156: PetscCall(MatNorm(Bfd, NORM_1, &norm1));
3157: PetscCall(MatNorm(Bfd, NORM_FROBENIUS, &norm2));
3158: PetscCall(MatNorm(Bfd, NORM_MAX, &normmax));
3159: PetscCall(PetscViewerASCIIPrintf(vstdout, "User-provided matrix minus finite difference Jacobian, norm1=%g normFrob=%g normmax=%g\n", (double)norm1, (double)norm2, (double)normmax));
3160: if (flag_display) PetscCall(MatView(Bfd, vstdout));
3161: if (vdraw) { /* Always use contour for the difference */
3162: PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
3163: PetscCall(MatView(Bfd, vdraw));
3164: PetscCall(PetscViewerPopFormat(vdraw));
3165: }
3166: if (flag_contour) PetscCall(PetscViewerPopFormat(vdraw));
3168: if (flag_threshold) {
3169: PetscInt bs, rstart, rend, i;
3170: PetscCall(MatGetBlockSize(B, &bs));
3171: PetscCall(MatGetOwnershipRange(B, &rstart, &rend));
3172: for (i = rstart; i < rend; i++) {
3173: const PetscScalar *ba, *ca;
3174: const PetscInt *bj, *cj;
3175: PetscInt bn, cn, j, maxentrycol = -1, maxdiffcol = -1, maxrdiffcol = -1;
3176: PetscReal maxentry = 0, maxdiff = 0, maxrdiff = 0;
3177: PetscCall(MatGetRow(B, i, &bn, &bj, &ba));
3178: PetscCall(MatGetRow(Bfd, i, &cn, &cj, &ca));
3179: PetscCheck(bn == cn, ((PetscObject)A)->comm, PETSC_ERR_PLIB, "Unexpected different nonzero pattern in -snes_compare_coloring_threshold");
3180: for (j = 0; j < bn; j++) {
3181: PetscReal rdiff = PetscAbsScalar(ca[j]) / (threshold_atol + threshold_rtol * PetscAbsScalar(ba[j]));
3182: if (PetscAbsScalar(ba[j]) > PetscAbs(maxentry)) {
3183: maxentrycol = bj[j];
3184: maxentry = PetscRealPart(ba[j]);
3185: }
3186: if (PetscAbsScalar(ca[j]) > PetscAbs(maxdiff)) {
3187: maxdiffcol = bj[j];
3188: maxdiff = PetscRealPart(ca[j]);
3189: }
3190: if (rdiff > maxrdiff) {
3191: maxrdiffcol = bj[j];
3192: maxrdiff = rdiff;
3193: }
3194: }
3195: if (maxrdiff > 1) {
3196: PetscCall(PetscViewerASCIIPrintf(vstdout, "row %" PetscInt_FMT " (maxentry=%g at %" PetscInt_FMT ", maxdiff=%g at %" PetscInt_FMT ", maxrdiff=%g at %" PetscInt_FMT "):", i, (double)maxentry, maxentrycol, (double)maxdiff, maxdiffcol, (double)maxrdiff, maxrdiffcol));
3197: for (j = 0; j < bn; j++) {
3198: PetscReal rdiff;
3199: rdiff = PetscAbsScalar(ca[j]) / (threshold_atol + threshold_rtol * PetscAbsScalar(ba[j]));
3200: if (rdiff > 1) PetscCall(PetscViewerASCIIPrintf(vstdout, " (%" PetscInt_FMT ",%g:%g)", bj[j], (double)PetscRealPart(ba[j]), (double)PetscRealPart(ca[j])));
3201: }
3202: PetscCall(PetscViewerASCIIPrintf(vstdout, "\n"));
3203: }
3204: PetscCall(MatRestoreRow(B, i, &bn, &bj, &ba));
3205: PetscCall(MatRestoreRow(Bfd, i, &cn, &cj, &ca));
3206: }
3207: }
3208: PetscCall(PetscViewerDestroy(&vdraw));
3209: PetscCall(MatDestroy(&Bfd));
3210: }
3211: }
3212: PetscFunctionReturn(PETSC_SUCCESS);
3213: }
3215: /*@C
3216: SNESSetJacobian - Sets the function to compute Jacobian as well as the
3217: location to store the matrix.
3219: Logically Collective
3221: Input Parameters:
3222: + snes - the `SNES` context
3223: . Amat - the matrix that defines the (approximate) Jacobian
3224: . Pmat - the matrix to be used in constructing the preconditioner, usually the same as `Amat`.
3225: . J - Jacobian evaluation routine (if `NULL` then `SNES` retains any previously set value), see `SNESJacobianFn` for details
3226: - ctx - [optional] user-defined context for private data for the
3227: Jacobian evaluation routine (may be `NULL`) (if `NULL` then `SNES` retains any previously set value)
3229: Level: beginner
3231: Notes:
3232: If the `Amat` matrix and `Pmat` matrix are different you must call `MatAssemblyBegin()`/`MatAssemblyEnd()` on
3233: each matrix.
3235: If you know the operator `Amat` has a null space you can use `MatSetNullSpace()` and `MatSetTransposeNullSpace()` to supply the null
3236: space to `Amat` and the `KSP` solvers will automatically use that null space as needed during the solution process.
3238: If using `SNESComputeJacobianDefaultColor()` to assemble a Jacobian, the `ctx` argument
3239: must be a `MatFDColoring`.
3241: Other defect-correction schemes can be used by computing a different matrix in place of the Jacobian. One common
3242: example is to use the "Picard linearization" which only differentiates through the highest order parts of each term using `SNESSetPicard()`
3244: .seealso: [](ch_snes), `SNES`, `KSPSetOperators()`, `SNESSetFunction()`, `MatMFFDComputeJacobian()`, `SNESComputeJacobianDefaultColor()`, `MatStructure`,
3245: `SNESSetPicard()`, `SNESJacobianFn`, `SNESFunctionFn`
3246: @*/
3247: PetscErrorCode SNESSetJacobian(SNES snes, Mat Amat, Mat Pmat, SNESJacobianFn *J, PetscCtx ctx)
3248: {
3249: DM dm;
3251: PetscFunctionBegin;
3255: if (Amat) PetscCheckSameComm(snes, 1, Amat, 2);
3256: if (Pmat) PetscCheckSameComm(snes, 1, Pmat, 3);
3257: PetscCall(SNESGetDM(snes, &dm));
3258: PetscCall(DMSNESSetJacobian(dm, J, ctx));
3259: if (Amat) {
3260: PetscCall(PetscObjectReference((PetscObject)Amat));
3261: PetscCall(MatDestroy(&snes->jacobian));
3263: snes->jacobian = Amat;
3264: }
3265: if (Pmat) {
3266: PetscCall(PetscObjectReference((PetscObject)Pmat));
3267: PetscCall(MatDestroy(&snes->jacobian_pre));
3269: snes->jacobian_pre = Pmat;
3270: }
3271: PetscFunctionReturn(PETSC_SUCCESS);
3272: }
3274: /*@C
3275: SNESGetJacobian - Returns the Jacobian matrix and optionally the user
3276: provided context for evaluating the Jacobian.
3278: Not Collective, but `Mat` object will be parallel if `SNES` is
3280: Input Parameter:
3281: . snes - the nonlinear solver context
3283: Output Parameters:
3284: + Amat - location to stash (approximate) Jacobian matrix (or `NULL`)
3285: . Pmat - location to stash matrix used to compute the preconditioner (or `NULL`)
3286: . J - location to put Jacobian function (or `NULL`), for calling sequence see `SNESJacobianFn`
3287: - ctx - location to stash Jacobian ctx (or `NULL`)
3289: Level: advanced
3291: .seealso: [](ch_snes), `SNES`, `Mat`, `SNESSetJacobian()`, `SNESComputeJacobian()`, `SNESJacobianFn`, `SNESGetFunction()`
3292: @*/
3293: PetscErrorCode SNESGetJacobian(SNES snes, Mat *Amat, Mat *Pmat, SNESJacobianFn **J, PetscCtxRt ctx)
3294: {
3295: DM dm;
3297: PetscFunctionBegin;
3299: if (Amat) *Amat = snes->jacobian;
3300: if (Pmat) *Pmat = snes->jacobian_pre;
3301: PetscCall(SNESGetDM(snes, &dm));
3302: PetscCall(DMSNESGetJacobian(dm, J, ctx));
3303: PetscFunctionReturn(PETSC_SUCCESS);
3304: }
3306: static PetscErrorCode SNESSetDefaultComputeJacobian(SNES snes)
3307: {
3308: DM dm;
3309: DMSNES sdm;
3311: PetscFunctionBegin;
3312: PetscCall(SNESGetDM(snes, &dm));
3313: PetscCall(DMGetDMSNES(dm, &sdm));
3314: if (!sdm->ops->computejacobian && snes->jacobian_pre) {
3315: DM dm;
3316: PetscBool isdense, ismf;
3318: PetscCall(SNESGetDM(snes, &dm));
3319: PetscCall(PetscObjectTypeCompareAny((PetscObject)snes->jacobian_pre, &isdense, MATSEQDENSE, MATMPIDENSE, MATDENSE, NULL));
3320: PetscCall(PetscObjectTypeCompareAny((PetscObject)snes->jacobian_pre, &ismf, MATMFFD, MATSHELL, NULL));
3321: if (isdense) PetscCall(DMSNESSetJacobian(dm, SNESComputeJacobianDefault, NULL));
3322: else if (!ismf) PetscCall(DMSNESSetJacobian(dm, SNESComputeJacobianDefaultColor, NULL));
3323: }
3324: PetscFunctionReturn(PETSC_SUCCESS);
3325: }
3327: /*@
3328: SNESSetUp - Sets up the internal data structures for the later use
3329: of a nonlinear solver `SNESSolve()`.
3331: Collective
3333: Input Parameter:
3334: . snes - the `SNES` context
3336: Level: advanced
3338: Note:
3339: For basic use of the `SNES` solvers the user does not need to explicitly call
3340: `SNESSetUp()`, since these actions will automatically occur during
3341: the call to `SNESSolve()`. However, if one wishes to control this
3342: phase separately, `SNESSetUp()` should be called after `SNESCreate()`
3343: and optional routines of the form SNESSetXXX(), but before `SNESSolve()`.
3345: .seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSolve()`, `SNESDestroy()`, `SNESSetFromOptions()`
3346: @*/
3347: PetscErrorCode SNESSetUp(SNES snes)
3348: {
3349: DM dm;
3350: DMSNES sdm;
3351: SNESLineSearch linesearch, pclinesearch;
3352: void *lsprectx, *lspostctx;
3353: PetscBool mf_operator, mf;
3354: Vec f, fpc;
3355: void *funcctx;
3356: void *jacctx, *appctx;
3357: Mat j, jpre;
3358: PetscErrorCode (*precheck)(SNESLineSearch, Vec, Vec, PetscBool *, PetscCtx);
3359: PetscErrorCode (*postcheck)(SNESLineSearch, Vec, Vec, Vec, PetscBool *, PetscBool *, PetscCtx);
3360: SNESFunctionFn *func;
3361: SNESJacobianFn *jac;
3363: PetscFunctionBegin;
3365: if (snes->setupcalled) PetscFunctionReturn(PETSC_SUCCESS);
3366: PetscCall(PetscLogEventBegin(SNES_SetUp, snes, 0, 0, 0));
3368: if (!((PetscObject)snes)->type_name) PetscCall(SNESSetType(snes, SNESNEWTONLS));
3370: PetscCall(SNESGetFunction(snes, &snes->vec_func, NULL, NULL));
3372: PetscCall(SNESGetDM(snes, &dm));
3373: PetscCall(DMGetDMSNES(dm, &sdm));
3374: PetscCall(SNESSetDefaultComputeJacobian(snes));
3376: if (!snes->vec_func) PetscCall(DMCreateGlobalVector(dm, &snes->vec_func));
3378: if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
3380: if (snes->linesearch) {
3381: PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
3382: PetscCall(SNESLineSearchSetFunction(snes->linesearch, SNESComputeFunction));
3383: }
3385: PetscCall(SNESGetUseMatrixFree(snes, &mf_operator, &mf));
3386: if (snes->npc && snes->npcside == PC_LEFT) {
3387: snes->mf = PETSC_TRUE;
3388: snes->mf_operator = PETSC_FALSE;
3389: }
3391: if (snes->npc) {
3392: /* copy the DM over */
3393: PetscCall(SNESGetDM(snes, &dm));
3394: PetscCall(SNESSetDM(snes->npc, dm));
3396: PetscCall(SNESGetFunction(snes, &f, &func, &funcctx));
3397: PetscCall(VecDuplicate(f, &fpc));
3398: PetscCall(SNESSetFunction(snes->npc, fpc, func, funcctx));
3399: PetscCall(SNESGetJacobian(snes, &j, &jpre, &jac, &jacctx));
3400: PetscCall(SNESSetJacobian(snes->npc, j, jpre, jac, jacctx));
3401: PetscCall(SNESGetApplicationContext(snes, &appctx));
3402: PetscCall(SNESSetApplicationContext(snes->npc, appctx));
3403: PetscCall(SNESSetUseMatrixFree(snes->npc, mf_operator, mf));
3404: PetscCall(VecDestroy(&fpc));
3406: /* copy the function pointers over */
3407: PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)snes, (PetscObject)snes->npc));
3409: /* default to 1 iteration */
3410: PetscCall(SNESSetTolerances(snes->npc, 0.0, 0.0, 0.0, 1, snes->npc->max_funcs));
3411: if (snes->npcside == PC_RIGHT) {
3412: PetscCall(SNESSetNormSchedule(snes->npc, SNES_NORM_FINAL_ONLY));
3413: } else {
3414: PetscCall(SNESSetNormSchedule(snes->npc, SNES_NORM_NONE));
3415: }
3416: PetscCall(SNESSetFromOptions(snes->npc));
3418: /* copy the line search context over */
3419: if (snes->linesearch && snes->npc->linesearch) {
3420: PetscCall(SNESGetLineSearch(snes, &linesearch));
3421: PetscCall(SNESGetLineSearch(snes->npc, &pclinesearch));
3422: PetscCall(SNESLineSearchGetPreCheck(linesearch, &precheck, &lsprectx));
3423: PetscCall(SNESLineSearchGetPostCheck(linesearch, &postcheck, &lspostctx));
3424: PetscCall(SNESLineSearchSetPreCheck(pclinesearch, precheck, lsprectx));
3425: PetscCall(SNESLineSearchSetPostCheck(pclinesearch, postcheck, lspostctx));
3426: PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)linesearch, (PetscObject)pclinesearch));
3427: }
3428: }
3429: if (snes->mf) PetscCall(SNESSetUpMatrixFree_Private(snes, snes->mf_operator, snes->mf_version));
3430: if (snes->ops->ctxcompute && !snes->ctx) PetscCallBack("SNES callback compute application context", (*snes->ops->ctxcompute)(snes, &snes->ctx));
3432: snes->jac_iter = 0;
3433: snes->pre_iter = 0;
3435: PetscTryTypeMethod(snes, setup);
3437: PetscCall(SNESSetDefaultComputeJacobian(snes));
3439: if (snes->npc && snes->npcside == PC_LEFT) {
3440: if (snes->functype == SNES_FUNCTION_PRECONDITIONED) {
3441: if (snes->linesearch) {
3442: PetscCall(SNESGetLineSearch(snes, &linesearch));
3443: PetscCall(SNESLineSearchSetFunction(linesearch, SNESComputeFunctionDefaultNPC));
3444: }
3445: }
3446: }
3447: PetscCall(PetscLogEventEnd(SNES_SetUp, snes, 0, 0, 0));
3448: snes->setupcalled = PETSC_TRUE;
3449: PetscFunctionReturn(PETSC_SUCCESS);
3450: }
3452: /*@
3453: SNESReset - Resets a `SNES` context to the state it was in before `SNESSetUp()` was called and removes any allocated `Vec` and `Mat` from its data structures
3455: Collective
3457: Input Parameter:
3458: . snes - the nonlinear iterative solver context obtained from `SNESCreate()`
3460: Level: intermediate
3462: Notes:
3463: Any options set on the `SNES` object, including those set with `SNESSetFromOptions()` remain.
3465: Call this if you wish to reuse a `SNES` but with different size vectors
3467: Also calls the application context destroy routine set with `SNESSetComputeApplicationContext()`
3469: .seealso: [](ch_snes), `SNES`, `SNESDestroy()`, `SNESCreate()`, `SNESSetUp()`, `SNESSolve()`
3470: @*/
3471: PetscErrorCode SNESReset(SNES snes)
3472: {
3473: PetscFunctionBegin;
3475: if (snes->ops->ctxdestroy && snes->ctx) {
3476: PetscCallBack("SNES callback destroy application context", (*snes->ops->ctxdestroy)(&snes->ctx));
3477: snes->ctx = NULL;
3478: }
3479: if (snes->npc) PetscCall(SNESReset(snes->npc));
3481: PetscTryTypeMethod(snes, reset);
3482: if (snes->ksp) PetscCall(KSPReset(snes->ksp));
3484: if (snes->linesearch) PetscCall(SNESLineSearchReset(snes->linesearch));
3486: PetscCall(VecDestroy(&snes->vec_rhs));
3487: PetscCall(VecDestroy(&snes->vec_sol));
3488: PetscCall(VecDestroy(&snes->vec_sol_update));
3489: PetscCall(VecDestroy(&snes->vec_func));
3490: PetscCall(MatDestroy(&snes->jacobian));
3491: PetscCall(MatDestroy(&snes->jacobian_pre));
3492: PetscCall(MatDestroy(&snes->picard));
3493: PetscCall(VecDestroyVecs(snes->nwork, &snes->work));
3494: PetscCall(VecDestroyVecs(snes->nvwork, &snes->vwork));
3496: snes->alwayscomputesfinalresidual = PETSC_FALSE;
3498: snes->nwork = snes->nvwork = 0;
3499: snes->setupcalled = PETSC_FALSE;
3500: PetscFunctionReturn(PETSC_SUCCESS);
3501: }
3503: /*@
3504: SNESConvergedReasonViewCancel - Clears all the reason view functions for a `SNES` object provided with `SNESConvergedReasonViewSet()` also
3505: removes the default viewer.
3507: Collective
3509: Input Parameter:
3510: . snes - the nonlinear iterative solver context obtained from `SNESCreate()`
3512: Level: intermediate
3514: .seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESDestroy()`, `SNESReset()`, `SNESConvergedReasonViewSet()`
3515: @*/
3516: PetscErrorCode SNESConvergedReasonViewCancel(SNES snes)
3517: {
3518: PetscFunctionBegin;
3520: for (PetscInt i = 0; i < snes->numberreasonviews; i++) {
3521: if (snes->reasonviewdestroy[i]) PetscCall((*snes->reasonviewdestroy[i])(&snes->reasonviewcontext[i]));
3522: }
3523: snes->numberreasonviews = 0;
3524: PetscCall(PetscViewerDestroy(&snes->convergedreasonviewer));
3525: PetscFunctionReturn(PETSC_SUCCESS);
3526: }
3528: /*@
3529: SNESDestroy - Destroys the nonlinear solver context that was created
3530: with `SNESCreate()`.
3532: Collective
3534: Input Parameter:
3535: . snes - the `SNES` context
3537: Level: beginner
3539: .seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSolve()`
3540: @*/
3541: PetscErrorCode SNESDestroy(SNES *snes)
3542: {
3543: DM dm;
3545: PetscFunctionBegin;
3546: if (!*snes) PetscFunctionReturn(PETSC_SUCCESS);
3548: if (--((PetscObject)*snes)->refct > 0) {
3549: *snes = NULL;
3550: PetscFunctionReturn(PETSC_SUCCESS);
3551: }
3553: PetscCall(SNESReset(*snes));
3554: PetscCall(SNESDestroy(&(*snes)->npc));
3556: /* if memory was published with SAWs then destroy it */
3557: PetscCall(PetscObjectSAWsViewOff((PetscObject)*snes));
3558: PetscTryTypeMethod(*snes, destroy);
3560: dm = (*snes)->dm;
3561: while (dm) {
3562: PetscCall(DMCoarsenHookRemove(dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, *snes));
3563: PetscCall(DMGetCoarseDM(dm, &dm));
3564: }
3566: PetscCall(DMDestroy(&(*snes)->dm));
3567: PetscCall(KSPDestroy(&(*snes)->ksp));
3568: PetscCall(SNESLineSearchDestroy(&(*snes)->linesearch));
3570: PetscCall(PetscFree((*snes)->kspconvctx));
3571: if ((*snes)->ops->convergeddestroy) PetscCall((*(*snes)->ops->convergeddestroy)(&(*snes)->cnvP));
3572: if ((*snes)->conv_hist_alloc) PetscCall(PetscFree2((*snes)->conv_hist, (*snes)->conv_hist_its));
3573: PetscCall(SNESMonitorCancel(*snes));
3574: PetscCall(SNESConvergedReasonViewCancel(*snes));
3575: PetscCall(PetscHeaderDestroy(snes));
3576: PetscFunctionReturn(PETSC_SUCCESS);
3577: }
3579: /* ----------- Routines to set solver parameters ---------- */
3581: /*@
3582: SNESSetLagPreconditioner - Sets when the preconditioner is rebuilt in the nonlinear solve `SNESSolve()`.
3584: Logically Collective
3586: Input Parameters:
3587: + snes - the `SNES` context
3588: - lag - 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
3589: the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that
3591: Options Database Keys:
3592: + -snes_lag_jacobian_persists (true|false) - sets the persistence through multiple `SNESSolve()`
3593: . -snes_lag_jacobian (-2|1|2|...) - sets the lag
3594: . -snes_lag_preconditioner_persists (true|false) - sets the persistence through multiple `SNESSolve()`
3595: - -snes_lag_preconditioner (-2|1|2|...) - sets the lag
3597: Level: intermediate
3599: Notes:
3600: The default is 1
3602: The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 or `SNESSetLagPreconditionerPersists()` was called
3604: `SNESSetLagPreconditionerPersists()` allows using the same uniform lagging (for example every second linear solve) across multiple nonlinear solves.
3606: .seealso: [](ch_snes), `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESSetLagPreconditionerPersists()`,
3607: `SNESSetLagJacobianPersists()`, `SNES`, `SNESSolve()`
3608: @*/
3609: PetscErrorCode SNESSetLagPreconditioner(SNES snes, PetscInt lag)
3610: {
3611: PetscFunctionBegin;
3613: PetscCheck(lag >= -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag must be -2, -1, 1 or greater");
3614: PetscCheck(lag, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag cannot be 0");
3616: snes->lagpreconditioner = lag;
3617: PetscFunctionReturn(PETSC_SUCCESS);
3618: }
3620: /*@
3621: SNESSetGridSequence - sets the number of steps of grid sequencing that `SNES` will do
3623: Logically Collective
3625: Input Parameters:
3626: + snes - the `SNES` context
3627: - steps - the number of refinements to do, defaults to 0
3629: Options Database Key:
3630: . -snes_grid_sequence steps - Use grid sequencing to generate initial guess
3632: Level: intermediate
3634: Notes:
3635: Once grid sequencing is turned on `SNESSolve()` will automatically perform the solve on each grid refinement.
3637: Use `SNESGetSolution()` to extract the fine grid solution after grid sequencing.
3639: .seealso: [](ch_snes), `SNES`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetGridSequence()`,
3640: `SNESSetDM()`, `SNESSolve()`
3641: @*/
3642: PetscErrorCode SNESSetGridSequence(SNES snes, PetscInt steps)
3643: {
3644: PetscFunctionBegin;
3647: snes->gridsequence = steps;
3648: PetscFunctionReturn(PETSC_SUCCESS);
3649: }
3651: /*@
3652: SNESGetGridSequence - gets the number of steps of grid sequencing that `SNES` will do
3654: Logically Collective
3656: Input Parameter:
3657: . snes - the `SNES` context
3659: Output Parameter:
3660: . steps - the number of refinements to do, defaults to 0
3662: Level: intermediate
3664: .seealso: [](ch_snes), `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESSetGridSequence()`
3665: @*/
3666: PetscErrorCode SNESGetGridSequence(SNES snes, PetscInt *steps)
3667: {
3668: PetscFunctionBegin;
3670: *steps = snes->gridsequence;
3671: PetscFunctionReturn(PETSC_SUCCESS);
3672: }
3674: /*@
3675: SNESGetLagPreconditioner - Return how often the preconditioner is rebuilt
3677: Not Collective
3679: Input Parameter:
3680: . snes - the `SNES` context
3682: Output Parameter:
3683: . lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
3684: the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that
3686: Level: intermediate
3688: Notes:
3689: The default is 1
3691: The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1
3693: .seealso: [](ch_snes), `SNES`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`
3694: @*/
3695: PetscErrorCode SNESGetLagPreconditioner(SNES snes, PetscInt *lag)
3696: {
3697: PetscFunctionBegin;
3699: *lag = snes->lagpreconditioner;
3700: PetscFunctionReturn(PETSC_SUCCESS);
3701: }
3703: /*@
3704: SNESSetLagJacobian - Set when the Jacobian is rebuilt in the nonlinear solve. See `SNESSetLagPreconditioner()` for determining how
3705: often the preconditioner is rebuilt.
3707: Logically Collective
3709: Input Parameters:
3710: + snes - the `SNES` context
3711: - lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
3712: the Jacobian is built etc. -2 means rebuild at next chance but then never again
3714: Options Database Keys:
3715: + -snes_lag_jacobian_persists (true|false) - sets the persistence through multiple SNES solves
3716: . -snes_lag_jacobian (-2|1|2|...) - sets the lag
3717: . -snes_lag_preconditioner_persists (true|false) - sets the persistence through multiple SNES solves
3718: - -snes_lag_preconditioner (-2|1|2|...) - sets the lag.
3720: Level: intermediate
3722: Notes:
3723: The default is 1
3725: The Jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1
3727: If -1 is used before the very first nonlinear solve the CODE WILL FAIL! because no Jacobian is used, use -2 to indicate you want it recomputed
3728: at the next Newton step but never again (unless it is reset to another value)
3730: .seealso: [](ch_snes), `SNES`, `SNESGetLagPreconditioner()`, `SNESSetLagPreconditioner()`, `SNESGetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`
3731: @*/
3732: PetscErrorCode SNESSetLagJacobian(SNES snes, PetscInt lag)
3733: {
3734: PetscFunctionBegin;
3736: PetscCheck(lag >= -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag must be -2, -1, 1 or greater");
3737: PetscCheck(lag, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag cannot be 0");
3739: snes->lagjacobian = lag;
3740: PetscFunctionReturn(PETSC_SUCCESS);
3741: }
3743: /*@
3744: SNESGetLagJacobian - Get how often the Jacobian is rebuilt. See `SNESGetLagPreconditioner()` to determine when the preconditioner is rebuilt
3746: Not Collective
3748: Input Parameter:
3749: . snes - the `SNES` context
3751: Output Parameter:
3752: . lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
3753: the Jacobian is built etc.
3755: Level: intermediate
3757: Notes:
3758: The default is 1
3760: The jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 or `SNESSetLagJacobianPersists()` was called.
3762: .seealso: [](ch_snes), `SNES`, `SNESSetLagJacobian()`, `SNESSetLagPreconditioner()`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`
3763: @*/
3764: PetscErrorCode SNESGetLagJacobian(SNES snes, PetscInt *lag)
3765: {
3766: PetscFunctionBegin;
3768: *lag = snes->lagjacobian;
3769: PetscFunctionReturn(PETSC_SUCCESS);
3770: }
3772: /*@
3773: SNESSetLagJacobianPersists - Set whether or not the Jacobian lagging persists through multiple nonlinear solves
3775: Logically collective
3777: Input Parameters:
3778: + snes - the `SNES` context
3779: - flg - jacobian lagging persists if true
3781: Options Database Keys:
3782: + -snes_lag_jacobian_persists (true|false) - sets the persistence through multiple SNES solves
3783: . -snes_lag_jacobian (-2|1|2|...) - sets the lag
3784: . -snes_lag_preconditioner_persists (true|false) - sets the persistence through multiple SNES solves
3785: - -snes_lag_preconditioner (-2|1|2|...) - sets the lag
3787: Level: advanced
3789: Notes:
3790: Normally when `SNESSetLagJacobian()` is used, the Jacobian is always rebuilt at the beginning of each new nonlinear solve, this removes that behavior
3792: This is useful both for nonlinear preconditioning, where it's appropriate to have the Jacobian be stale by
3793: several solves, and for implicit time-stepping, where Jacobian lagging in the inner nonlinear solve over several
3794: timesteps may present huge efficiency gains.
3796: .seealso: [](ch_snes), `SNES`, `SNESSetLagPreconditionerPersists()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetNPC()`
3797: @*/
3798: PetscErrorCode SNESSetLagJacobianPersists(SNES snes, PetscBool flg)
3799: {
3800: PetscFunctionBegin;
3803: snes->lagjac_persist = flg;
3804: PetscFunctionReturn(PETSC_SUCCESS);
3805: }
3807: /*@
3808: SNESSetLagPreconditionerPersists - Set whether or not the preconditioner lagging persists through multiple nonlinear solves
3810: Logically Collective
3812: Input Parameters:
3813: + snes - the `SNES` context
3814: - flg - preconditioner lagging persists if true
3816: Options Database Keys:
3817: + -snes_lag_jacobian_persists (true|false) - sets the persistence through multiple SNES solves
3818: . -snes_lag_jacobian (-2|1|2|...) - sets the lag
3819: . -snes_lag_preconditioner_persists (true|false) - sets the persistence through multiple SNES solves
3820: - -snes_lag_preconditioner (-2|1|2|...) - sets the lag
3822: Level: developer
3824: Notes:
3825: Normally when `SNESSetLagPreconditioner()` is used, the preconditioner is always rebuilt at the beginning of each new nonlinear solve, this removes that behavior
3827: This is useful both for nonlinear preconditioning, where it's appropriate to have the preconditioner be stale
3828: by several solves, and for implicit time-stepping, where preconditioner lagging in the inner nonlinear solve over
3829: several timesteps may present huge efficiency gains.
3831: .seealso: [](ch_snes), `SNES`, `SNESSetLagJacobianPersists()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetNPC()`, `SNESSetLagPreconditioner()`
3832: @*/
3833: PetscErrorCode SNESSetLagPreconditionerPersists(SNES snes, PetscBool flg)
3834: {
3835: PetscFunctionBegin;
3838: snes->lagpre_persist = flg;
3839: PetscFunctionReturn(PETSC_SUCCESS);
3840: }
3842: /*@
3843: SNESSetForceIteration - force `SNESSolve()` to take at least one iteration regardless of the initial residual norm
3845: Logically Collective
3847: Input Parameters:
3848: + snes - the `SNES` context
3849: - force - `PETSC_TRUE` require at least one iteration
3851: Options Database Key:
3852: . -snes_force_iteration force - Sets forcing an iteration
3854: Level: intermediate
3856: Note:
3857: This is used sometimes with `TS` to prevent `TS` from detecting a false steady state solution
3859: .seealso: [](ch_snes), `SNES`, `TS`, `SNESSetDivergenceTolerance()`
3860: @*/
3861: PetscErrorCode SNESSetForceIteration(SNES snes, PetscBool force)
3862: {
3863: PetscFunctionBegin;
3865: snes->forceiteration = force;
3866: PetscFunctionReturn(PETSC_SUCCESS);
3867: }
3869: /*@
3870: SNESGetForceIteration - Check whether or not `SNESSolve()` take at least one iteration regardless of the initial residual norm
3872: Logically Collective
3874: Input Parameter:
3875: . snes - the `SNES` context
3877: Output Parameter:
3878: . force - `PETSC_TRUE` requires at least one iteration.
3880: Level: intermediate
3882: .seealso: [](ch_snes), `SNES`, `SNESSetForceIteration()`, `SNESSetDivergenceTolerance()`
3883: @*/
3884: PetscErrorCode SNESGetForceIteration(SNES snes, PetscBool *force)
3885: {
3886: PetscFunctionBegin;
3888: *force = snes->forceiteration;
3889: PetscFunctionReturn(PETSC_SUCCESS);
3890: }
3892: /*@
3893: SNESSetTolerances - Sets various parameters used in `SNES` convergence tests.
3895: Logically Collective
3897: Input Parameters:
3898: + snes - the `SNES` context
3899: . abstol - the absolute convergence tolerance, $ F(x^n) \le abstol $
3900: . rtol - the relative convergence tolerance, $ F(x^n) \le reltol * F(x^0) $
3901: . stol - convergence tolerance in terms of the norm of the change in the solution between steps, || delta x || < stol*|| x ||
3902: . maxit - the maximum number of iterations allowed in the solver, default 50.
3903: - maxf - the maximum number of function evaluations allowed in the solver (use `PETSC_UNLIMITED` indicates no limit), default 10,000
3905: Options Database Keys:
3906: + -snes_atol abstol - Sets `abstol`
3907: . -snes_rtol rtol - Sets `rtol`
3908: . -snes_stol stol - Sets `stol`
3909: . -snes_max_it maxit - Sets `maxit`
3910: - -snes_max_funcs maxf - Sets `maxf` (use `unlimited` to have no maximum)
3912: Level: intermediate
3914: Note:
3915: All parameters must be non-negative
3917: Use `PETSC_CURRENT` to retain the current value of any parameter and `PETSC_DETERMINE` to use the default value for the given `SNES`.
3918: The default value is the value in the object when its type is set.
3920: Use `PETSC_UNLIMITED` on `maxit` or `maxf` to indicate there is no bound on the number of iterations or number of function evaluations.
3922: Fortran Note:
3923: Use `PETSC_CURRENT_INTEGER`, `PETSC_CURRENT_REAL`, `PETSC_UNLIMITED_INTEGER`, `PETSC_DETERMINE_INTEGER`, or `PETSC_DETERMINE_REAL`
3925: .seealso: [](ch_snes), `SNESSolve()`, `SNES`, `SNESSetDivergenceTolerance()`, `SNESSetForceIteration()`
3926: @*/
3927: PetscErrorCode SNESSetTolerances(SNES snes, PetscReal abstol, PetscReal rtol, PetscReal stol, PetscInt maxit, PetscInt maxf)
3928: {
3929: PetscFunctionBegin;
3937: if (abstol == (PetscReal)PETSC_DETERMINE) {
3938: snes->abstol = snes->default_abstol;
3939: } else if (abstol != (PetscReal)PETSC_CURRENT) {
3940: PetscCheck(abstol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Absolute tolerance %g must be non-negative", (double)abstol);
3941: snes->abstol = abstol;
3942: }
3944: if (rtol == (PetscReal)PETSC_DETERMINE) {
3945: snes->rtol = snes->default_rtol;
3946: } else if (rtol != (PetscReal)PETSC_CURRENT) {
3947: PetscCheck(rtol >= 0.0 && 1.0 > rtol, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Relative tolerance %g must be non-negative and less than 1.0", (double)rtol);
3948: snes->rtol = rtol;
3949: }
3951: if (stol == (PetscReal)PETSC_DETERMINE) {
3952: snes->stol = snes->default_stol;
3953: } else if (stol != (PetscReal)PETSC_CURRENT) {
3954: PetscCheck(stol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Step tolerance %g must be non-negative", (double)stol);
3955: snes->stol = stol;
3956: }
3958: if (maxit == PETSC_DETERMINE) {
3959: snes->max_its = snes->default_max_its;
3960: } else if (maxit == PETSC_UNLIMITED) {
3961: snes->max_its = PETSC_INT_MAX;
3962: } else if (maxit != PETSC_CURRENT) {
3963: PetscCheck(maxit >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Maximum number of iterations %" PetscInt_FMT " must be non-negative", maxit);
3964: snes->max_its = maxit;
3965: }
3967: if (maxf == PETSC_DETERMINE) {
3968: snes->max_funcs = snes->default_max_funcs;
3969: } else if (maxf == PETSC_UNLIMITED || maxf == -1) {
3970: snes->max_funcs = PETSC_UNLIMITED;
3971: } else if (maxf != PETSC_CURRENT) {
3972: PetscCheck(maxf >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Maximum number of function evaluations %" PetscInt_FMT " must be nonnegative", maxf);
3973: snes->max_funcs = maxf;
3974: }
3975: PetscFunctionReturn(PETSC_SUCCESS);
3976: }
3978: /*@
3979: SNESSetDivergenceTolerance - Sets the divergence tolerance used for the `SNES` divergence test.
3981: Logically Collective
3983: Input Parameters:
3984: + snes - the `SNES` context
3985: - divtol - the divergence tolerance. Use `PETSC_UNLIMITED` to deactivate the test. If the residual norm $ F(x^n) \ge divtol * F(x^0) $ the solver
3986: is stopped due to divergence.
3988: Options Database Key:
3989: . -snes_divergence_tolerance divtol - Sets `divtol`
3991: Level: intermediate
3993: Notes:
3994: Use `PETSC_DETERMINE` to use the default value from when the object's type was set.
3996: Fortran Note:
3997: Use ``PETSC_DETERMINE_REAL` or `PETSC_UNLIMITED_REAL`
3999: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetTolerances()`, `SNESGetDivergenceTolerance()`
4000: @*/
4001: PetscErrorCode SNESSetDivergenceTolerance(SNES snes, PetscReal divtol)
4002: {
4003: PetscFunctionBegin;
4007: if (divtol == (PetscReal)PETSC_DETERMINE) {
4008: snes->divtol = snes->default_divtol;
4009: } else if (divtol == (PetscReal)PETSC_UNLIMITED || divtol == -1) {
4010: snes->divtol = PETSC_UNLIMITED;
4011: } else if (divtol != (PetscReal)PETSC_CURRENT) {
4012: PetscCheck(divtol >= 1.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Divergence tolerance %g must be greater than 1.0", (double)divtol);
4013: snes->divtol = divtol;
4014: }
4015: PetscFunctionReturn(PETSC_SUCCESS);
4016: }
4018: /*@
4019: SNESGetTolerances - Gets various parameters used in `SNES` convergence tests.
4021: Not Collective
4023: Input Parameter:
4024: . snes - the `SNES` context
4026: Output Parameters:
4027: + atol - the absolute convergence tolerance
4028: . rtol - the relative convergence tolerance
4029: . stol - convergence tolerance in terms of the norm of the change in the solution between steps
4030: . maxit - the maximum number of iterations allowed
4031: - maxf - the maximum number of function evaluations allowed, `PETSC_UNLIMITED` indicates no bound
4033: Level: intermediate
4035: Notes:
4036: See `SNESSetTolerances()` for details on the parameters.
4038: The user can specify `NULL` for any parameter that is not needed.
4040: .seealso: [](ch_snes), `SNES`, `SNESSetTolerances()`
4041: @*/
4042: PetscErrorCode SNESGetTolerances(SNES snes, PetscReal *atol, PetscReal *rtol, PetscReal *stol, PetscInt *maxit, PetscInt *maxf)
4043: {
4044: PetscFunctionBegin;
4046: if (atol) *atol = snes->abstol;
4047: if (rtol) *rtol = snes->rtol;
4048: if (stol) *stol = snes->stol;
4049: if (maxit) *maxit = snes->max_its;
4050: if (maxf) *maxf = snes->max_funcs;
4051: PetscFunctionReturn(PETSC_SUCCESS);
4052: }
4054: /*@
4055: SNESGetDivergenceTolerance - Gets divergence tolerance used in divergence test.
4057: Not Collective
4059: Input Parameters:
4060: + snes - the `SNES` context
4061: - divtol - divergence tolerance
4063: Level: intermediate
4065: .seealso: [](ch_snes), `SNES`, `SNESSetDivergenceTolerance()`
4066: @*/
4067: PetscErrorCode SNESGetDivergenceTolerance(SNES snes, PetscReal *divtol)
4068: {
4069: PetscFunctionBegin;
4071: if (divtol) *divtol = snes->divtol;
4072: PetscFunctionReturn(PETSC_SUCCESS);
4073: }
4075: PETSC_INTERN PetscErrorCode SNESMonitorRange_Private(SNES, PetscInt, PetscReal *);
4077: PetscErrorCode SNESMonitorLGRange(SNES snes, PetscInt n, PetscReal rnorm, PetscCtx monctx)
4078: {
4079: PetscDrawLG lg;
4080: PetscReal x, y, per;
4081: PetscViewer v = (PetscViewer)monctx;
4082: static PetscReal prev; /* should be in the context */
4083: PetscDraw draw;
4085: PetscFunctionBegin;
4087: PetscCall(PetscViewerDrawGetDrawLG(v, 0, &lg));
4088: if (!n) PetscCall(PetscDrawLGReset(lg));
4089: PetscCall(PetscDrawLGGetDraw(lg, &draw));
4090: PetscCall(PetscDrawSetTitle(draw, "Residual norm"));
4091: x = (PetscReal)n;
4092: if (rnorm > 0.0) y = PetscLog10Real(rnorm);
4093: else y = -15.0;
4094: PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
4095: if (n < 20 || !(n % 5) || snes->reason) {
4096: PetscCall(PetscDrawLGDraw(lg));
4097: PetscCall(PetscDrawLGSave(lg));
4098: }
4100: PetscCall(PetscViewerDrawGetDrawLG(v, 1, &lg));
4101: if (!n) PetscCall(PetscDrawLGReset(lg));
4102: PetscCall(PetscDrawLGGetDraw(lg, &draw));
4103: PetscCall(PetscDrawSetTitle(draw, "% elements > .2*max element"));
4104: PetscCall(SNESMonitorRange_Private(snes, n, &per));
4105: x = (PetscReal)n;
4106: y = 100.0 * per;
4107: PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
4108: if (n < 20 || !(n % 5) || snes->reason) {
4109: PetscCall(PetscDrawLGDraw(lg));
4110: PetscCall(PetscDrawLGSave(lg));
4111: }
4113: PetscCall(PetscViewerDrawGetDrawLG(v, 2, &lg));
4114: if (!n) {
4115: prev = rnorm;
4116: PetscCall(PetscDrawLGReset(lg));
4117: }
4118: PetscCall(PetscDrawLGGetDraw(lg, &draw));
4119: PetscCall(PetscDrawSetTitle(draw, "(norm -oldnorm)/oldnorm"));
4120: x = (PetscReal)n;
4121: y = (prev - rnorm) / prev;
4122: PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
4123: if (n < 20 || !(n % 5) || snes->reason) {
4124: PetscCall(PetscDrawLGDraw(lg));
4125: PetscCall(PetscDrawLGSave(lg));
4126: }
4128: PetscCall(PetscViewerDrawGetDrawLG(v, 3, &lg));
4129: if (!n) PetscCall(PetscDrawLGReset(lg));
4130: PetscCall(PetscDrawLGGetDraw(lg, &draw));
4131: PetscCall(PetscDrawSetTitle(draw, "(norm -oldnorm)/oldnorm*(% > .2 max)"));
4132: x = (PetscReal)n;
4133: y = (prev - rnorm) / (prev * per);
4134: if (n > 2) { /*skip initial crazy value */
4135: PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
4136: }
4137: if (n < 20 || !(n % 5) || snes->reason) {
4138: PetscCall(PetscDrawLGDraw(lg));
4139: PetscCall(PetscDrawLGSave(lg));
4140: }
4141: prev = rnorm;
4142: PetscFunctionReturn(PETSC_SUCCESS);
4143: }
4145: /*@
4146: SNESConverged - Run the convergence test and update the `SNESConvergedReason`.
4148: Collective
4150: Input Parameters:
4151: + snes - the `SNES` context
4152: . it - current iteration
4153: . xnorm - 2-norm of current iterate
4154: . snorm - 2-norm of current step
4155: - fnorm - 2-norm of function
4157: Level: developer
4159: Note:
4160: This routine is called by the `SNESSolve()` implementations.
4161: It does not typically need to be called by the user.
4163: .seealso: [](ch_snes), `SNES`, `SNESSolve`, `SNESSetConvergenceTest()`
4164: @*/
4165: PetscErrorCode SNESConverged(SNES snes, PetscInt it, PetscReal xnorm, PetscReal snorm, PetscReal fnorm)
4166: {
4167: PetscFunctionBegin;
4168: if (!snes->reason) {
4169: if (snes->normschedule == SNES_NORM_ALWAYS) PetscUseTypeMethod(snes, converged, it, xnorm, snorm, fnorm, &snes->reason, snes->cnvP);
4170: if (it == snes->max_its && !snes->reason) {
4171: if (snes->normschedule == SNES_NORM_ALWAYS) {
4172: PetscCall(PetscInfo(snes, "Maximum number of iterations has been reached: %" PetscInt_FMT "\n", snes->max_its));
4173: snes->reason = SNES_DIVERGED_MAX_IT;
4174: } else snes->reason = SNES_CONVERGED_ITS;
4175: }
4176: }
4177: PetscFunctionReturn(PETSC_SUCCESS);
4178: }
4180: /*@
4181: SNESMonitor - runs any `SNES` monitor routines provided with `SNESMonitor()` or the options database
4183: Collective
4185: Input Parameters:
4186: + snes - nonlinear solver context obtained from `SNESCreate()`
4187: . iter - current iteration number
4188: - rnorm - current relative norm of the residual
4190: Level: developer
4192: Note:
4193: This routine is called by the `SNESSolve()` implementations.
4194: It does not typically need to be called by the user.
4196: .seealso: [](ch_snes), `SNES`, `SNESMonitorSet()`
4197: @*/
4198: PetscErrorCode SNESMonitor(SNES snes, PetscInt iter, PetscReal rnorm)
4199: {
4200: PetscInt i, n = snes->numbermonitors;
4202: PetscFunctionBegin;
4203: PetscCall(VecLockReadPush(snes->vec_sol));
4204: for (i = 0; i < n; i++) PetscCall((*snes->monitor[i])(snes, iter, rnorm, snes->monitorcontext[i]));
4205: PetscCall(VecLockReadPop(snes->vec_sol));
4206: PetscFunctionReturn(PETSC_SUCCESS);
4207: }
4209: /* ------------ Routines to set performance monitoring options ----------- */
4211: /*MC
4212: SNESMonitorFunction - functional form passed to `SNESMonitorSet()` to monitor convergence of nonlinear solver
4214: Synopsis:
4215: #include <petscsnes.h>
4216: PetscErrorCode SNESMonitorFunction(SNES snes, PetscInt its, PetscReal norm, PetscCtx mctx)
4218: Collective
4220: Input Parameters:
4221: + snes - the `SNES` context
4222: . its - iteration number
4223: . norm - 2-norm function value (may be estimated)
4224: - mctx - [optional] monitoring context
4226: Level: advanced
4228: .seealso: [](ch_snes), `SNESMonitorSet()`, `PetscCtx`
4229: M*/
4231: /*@C
4232: SNESMonitorSet - Sets an ADDITIONAL function that is to be used at every
4233: iteration of the `SNES` nonlinear solver to display the iteration's
4234: progress.
4236: Logically Collective
4238: Input Parameters:
4239: + snes - the `SNES` context
4240: . f - the monitor function, for the calling sequence see `SNESMonitorFunction`
4241: . mctx - [optional] user-defined context for private data for the monitor routine (use `NULL` if no context is desired)
4242: - monitordestroy - [optional] routine that frees monitor context (may be `NULL`), see `PetscCtxDestroyFn` for the calling sequence
4244: Calling sequence of f:
4245: + snes - the `SNES` object
4246: . it - the current iteration
4247: . rnorm - norm of the residual
4248: - mctx - the optional monitor context
4250: Options Database Keys:
4251: + -snes_monitor - sets `SNESMonitorDefault()`
4252: . -snes_monitor draw::draw_lg - sets line graph monitor
4253: - -snes_monitor_cancel - cancels all monitors that have been hardwired into a code by calls to `SNESMonitorSet()`, but does not cancel those set via
4254: the options database.
4256: Level: intermediate
4258: Note:
4259: Several different monitoring routines may be set by calling
4260: `SNESMonitorSet()` multiple times; all will be called in the
4261: order in which they were set.
4263: Fortran Note:
4264: Only a single monitor function can be set for each `SNES` object
4266: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESMonitorDefault()`, `SNESMonitorCancel()`, `SNESMonitorFunction`, `PetscCtxDestroyFn`
4267: @*/
4268: PetscErrorCode SNESMonitorSet(SNES snes, PetscErrorCode (*f)(SNES snes, PetscInt it, PetscReal rnorm, PetscCtx mctx), PetscCtx mctx, PetscCtxDestroyFn *monitordestroy)
4269: {
4270: PetscFunctionBegin;
4272: for (PetscInt i = 0; i < snes->numbermonitors; i++) {
4273: PetscBool identical;
4275: PetscCall(PetscMonitorCompare((PetscErrorCode (*)(void))(PetscVoidFn *)f, mctx, monitordestroy, (PetscErrorCode (*)(void))(PetscVoidFn *)snes->monitor[i], snes->monitorcontext[i], snes->monitordestroy[i], &identical));
4276: if (identical) PetscFunctionReturn(PETSC_SUCCESS);
4277: }
4278: PetscCheck(snes->numbermonitors < MAXSNESMONITORS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many monitors set");
4279: snes->monitor[snes->numbermonitors] = f;
4280: snes->monitordestroy[snes->numbermonitors] = monitordestroy;
4281: snes->monitorcontext[snes->numbermonitors++] = mctx;
4282: PetscFunctionReturn(PETSC_SUCCESS);
4283: }
4285: /*@
4286: SNESMonitorCancel - Clears all the monitor functions for a `SNES` object.
4288: Logically Collective
4290: Input Parameter:
4291: . snes - the `SNES` context
4293: Options Database Key:
4294: . -snes_monitor_cancel - cancels all monitors that have been hardwired
4295: into a code by calls to `SNESMonitorSet()`, but does not cancel those
4296: set via the options database
4298: Level: intermediate
4300: Note:
4301: There is no way to clear one specific monitor from a `SNES` object.
4303: .seealso: [](ch_snes), `SNES`, `SNESMonitorDefault()`, `SNESMonitorSet()`
4304: @*/
4305: PetscErrorCode SNESMonitorCancel(SNES snes)
4306: {
4307: PetscFunctionBegin;
4309: for (PetscInt i = 0; i < snes->numbermonitors; i++) {
4310: if (snes->monitordestroy[i]) PetscCall((*snes->monitordestroy[i])(&snes->monitorcontext[i]));
4311: }
4312: snes->numbermonitors = 0;
4313: PetscFunctionReturn(PETSC_SUCCESS);
4314: }
4316: /*@C
4317: SNESSetConvergenceTest - Sets the function that is to be used
4318: to test for convergence of the nonlinear iterative solution.
4320: Logically Collective
4322: Input Parameters:
4323: + snes - the `SNES` context
4324: . func - routine to test for convergence
4325: . ctx - [optional] context for private data for the convergence routine (may be `NULL`)
4326: - destroy - [optional] destructor for the context (may be `NULL`; `PETSC_NULL_FUNCTION` in Fortran)
4328: Calling sequence of func:
4329: + snes - the `SNES` context
4330: . it - the current iteration number
4331: . xnorm - the norm of the new solution
4332: . snorm - the norm of the step
4333: . fnorm - the norm of the function value
4334: . reason - output, the reason convergence or divergence as declared
4335: - ctx - the optional convergence test context
4337: Level: advanced
4339: .seealso: [](ch_snes), `SNES`, `SNESConvergedDefault()`, `SNESConvergedSkip()`
4340: @*/
4341: PetscErrorCode SNESSetConvergenceTest(SNES snes, PetscErrorCode (*func)(SNES snes, PetscInt it, PetscReal xnorm, PetscReal snorm, PetscReal fnorm, SNESConvergedReason *reason, PetscCtx ctx), PetscCtx ctx, PetscCtxDestroyFn *destroy)
4342: {
4343: PetscFunctionBegin;
4345: if (!func) func = SNESConvergedSkip;
4346: if (snes->ops->convergeddestroy) PetscCall((*snes->ops->convergeddestroy)(&snes->cnvP));
4347: snes->ops->converged = func;
4348: snes->ops->convergeddestroy = destroy;
4349: snes->cnvP = ctx;
4350: PetscFunctionReturn(PETSC_SUCCESS);
4351: }
4353: /*@
4354: SNESGetConvergedReason - Gets the reason the `SNES` iteration was stopped, which may be due to convergence, divergence, or stagnation
4356: Not Collective
4358: Input Parameter:
4359: . snes - the `SNES` context
4361: Output Parameter:
4362: . reason - negative value indicates diverged, positive value converged, see `SNESConvergedReason` for the individual convergence tests for complete lists
4364: Options Database Key:
4365: . -snes_converged_reason - prints the reason to standard out
4367: Level: intermediate
4369: Note:
4370: Should only be called after the call the `SNESSolve()` is complete, if it is called earlier it returns the value `SNES__CONVERGED_ITERATING`.
4372: .seealso: [](ch_snes), `SNESSolve()`, `SNESSetConvergenceTest()`, `SNESSetConvergedReason()`, `SNESConvergedReason`, `SNESGetConvergedReasonString()`
4373: @*/
4374: PetscErrorCode SNESGetConvergedReason(SNES snes, SNESConvergedReason *reason)
4375: {
4376: PetscFunctionBegin;
4378: PetscAssertPointer(reason, 2);
4379: *reason = snes->reason;
4380: PetscFunctionReturn(PETSC_SUCCESS);
4381: }
4383: /*@C
4384: SNESGetConvergedReasonString - Return a human readable string for `SNESConvergedReason`
4386: Not Collective
4388: Input Parameter:
4389: . snes - the `SNES` context
4391: Output Parameter:
4392: . strreason - a human readable string that describes `SNES` converged reason
4394: Level: beginner
4396: .seealso: [](ch_snes), `SNES`, `SNESGetConvergedReason()`
4397: @*/
4398: PetscErrorCode SNESGetConvergedReasonString(SNES snes, const char **strreason)
4399: {
4400: PetscFunctionBegin;
4402: PetscAssertPointer(strreason, 2);
4403: *strreason = SNESConvergedReasons[snes->reason];
4404: PetscFunctionReturn(PETSC_SUCCESS);
4405: }
4407: /*@
4408: SNESSetConvergedReason - Sets the reason the `SNES` iteration was stopped.
4410: Not Collective
4412: Input Parameters:
4413: + snes - the `SNES` context
4414: - reason - negative value indicates diverged, positive value converged, see `SNESConvergedReason` or the
4415: manual pages for the individual convergence tests for complete lists
4417: Level: developer
4419: Developer Note:
4420: Called inside the various `SNESSolve()` implementations
4422: .seealso: [](ch_snes), `SNESGetConvergedReason()`, `SNESSetConvergenceTest()`, `SNESConvergedReason`
4423: @*/
4424: PetscErrorCode SNESSetConvergedReason(SNES snes, SNESConvergedReason reason)
4425: {
4426: PetscFunctionBegin;
4428: PetscCheck(!snes->errorifnotconverged || reason > 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_PLIB, "SNES code should have previously errored due to negative reason");
4429: snes->reason = reason;
4430: PetscFunctionReturn(PETSC_SUCCESS);
4431: }
4433: /*@
4434: SNESSetConvergenceHistory - Sets the arrays used to hold the convergence history.
4436: Logically Collective
4438: Input Parameters:
4439: + snes - iterative context obtained from `SNESCreate()`
4440: . a - array to hold history, this array will contain the function norms computed at each step
4441: . its - integer array holds the number of linear iterations for each solve.
4442: . na - size of `a` and `its`
4443: - reset - `PETSC_TRUE` indicates each new nonlinear solve resets the history counter to zero,
4444: else it continues storing new values for new nonlinear solves after the old ones
4446: Level: intermediate
4448: Notes:
4449: If 'a' and 'its' are `NULL` then space is allocated for the history. If 'na' is `PETSC_DECIDE` (or, deprecated, `PETSC_DEFAULT`) then a
4450: default array of length 1,000 is allocated.
4452: This routine is useful, e.g., when running a code for purposes
4453: of accurate performance monitoring, when no I/O should be done
4454: during the section of code that is being timed.
4456: If the arrays run out of space after a number of iterations then the later values are not saved in the history
4458: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESGetConvergenceHistory()`
4459: @*/
4460: PetscErrorCode SNESSetConvergenceHistory(SNES snes, PetscReal a[], PetscInt its[], PetscInt na, PetscBool reset)
4461: {
4462: PetscFunctionBegin;
4464: if (a) PetscAssertPointer(a, 2);
4465: if (its) PetscAssertPointer(its, 3);
4466: if (!a) {
4467: if (na == PETSC_DECIDE) na = 1000;
4468: PetscCall(PetscCalloc2(na, &a, na, &its));
4469: snes->conv_hist_alloc = PETSC_TRUE;
4470: }
4471: snes->conv_hist = a;
4472: snes->conv_hist_its = its;
4473: snes->conv_hist_max = (size_t)na;
4474: snes->conv_hist_len = 0;
4475: snes->conv_hist_reset = reset;
4476: PetscFunctionReturn(PETSC_SUCCESS);
4477: }
4479: #if defined(PETSC_HAVE_MATLAB)
4480: #include <engine.h> /* MATLAB include file */
4481: #include <mex.h> /* MATLAB include file */
4483: PETSC_EXTERN mxArray *SNESGetConvergenceHistoryMatlab(SNES snes)
4484: {
4485: mxArray *mat;
4486: PetscReal *ar;
4488: mat = mxCreateDoubleMatrix(snes->conv_hist_len, 1, mxREAL);
4489: ar = (PetscReal *)mxGetData(mat);
4490: for (PetscInt i = 0; i < snes->conv_hist_len; i++) ar[i] = snes->conv_hist[i];
4491: return mat;
4492: }
4493: #endif
4495: /*@C
4496: SNESGetConvergenceHistory - Gets the arrays used to hold the convergence history.
4498: Not Collective
4500: Input Parameter:
4501: . snes - iterative context obtained from `SNESCreate()`
4503: Output Parameters:
4504: + a - array to hold history, usually was set with `SNESSetConvergenceHistory()`
4505: . its - integer array holds the number of linear iterations (or
4506: negative if not converged) for each solve.
4507: - na - size of `a` and `its`
4509: Level: intermediate
4511: Note:
4512: This routine is useful, e.g., when running a code for purposes
4513: of accurate performance monitoring, when no I/O should be done
4514: during the section of code that is being timed.
4516: Fortran Notes:
4517: Return the arrays with ``SNESRestoreConvergenceHistory()`
4519: Use the arguments
4520: .vb
4521: PetscReal, pointer :: a(:)
4522: PetscInt, pointer :: its(:)
4523: .ve
4525: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetConvergenceHistory()`
4526: @*/
4527: PetscErrorCode SNESGetConvergenceHistory(SNES snes, PetscReal *a[], PetscInt *its[], PetscInt *na)
4528: {
4529: PetscFunctionBegin;
4531: if (a) *a = snes->conv_hist;
4532: if (its) *its = snes->conv_hist_its;
4533: if (na) *na = (PetscInt)snes->conv_hist_len;
4534: PetscFunctionReturn(PETSC_SUCCESS);
4535: }
4537: /*@C
4538: SNESSetUpdate - Sets the general-purpose update function called
4539: at the beginning of every iteration of the nonlinear solve. Specifically
4540: it is called just before the Jacobian is "evaluated" and after the function
4541: evaluation.
4543: Logically Collective
4545: Input Parameters:
4546: + snes - The nonlinear solver context
4547: - func - The update function; for calling sequence see `SNESUpdateFn`
4549: Level: advanced
4551: Notes:
4552: This is NOT what one uses to update the ghost points before a function evaluation, that should be done at the beginning of your function provided
4553: to `SNESSetFunction()`, or `SNESSetPicard()`
4554: This is not used by most users, and it is intended to provide a general hook that is run
4555: right before the direction step is computed.
4557: Users are free to modify the current residual vector,
4558: the current linearization point, or any other vector associated to the specific solver used.
4559: If such modifications take place, it is the user responsibility to update all the relevant
4560: vectors. For example, if one is adjusting the model parameters at each Newton step their code may look like
4561: .vb
4562: PetscErrorCode update(SNES snes, PetscInt iteration)
4563: {
4564: PetscFunctionBeginUser;
4565: if (iteration > 0) {
4566: // update the model parameters here
4567: Vec x,f;
4568: PetscCall(SNESGetSolution(snes,&x));
4569: PetcCall(SNESGetFunction(snes,&f,NULL,NULL));
4570: PetscCall(SNESComputeFunction(snes,x,f));
4571: }
4572: PetscFunctionReturn(PETSC_SUCCESS);
4573: }
4574: .ve
4576: There are a variety of function hooks one many set that are called at different stages of the nonlinear solution process, see the functions listed below.
4578: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetJacobian()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESNewtonTRSetPreCheck()`, `SNESNewtonTRSetPostCheck()`,
4579: `SNESMonitorSet()`
4580: @*/
4581: PetscErrorCode SNESSetUpdate(SNES snes, SNESUpdateFn *func)
4582: {
4583: PetscFunctionBegin;
4585: snes->ops->update = func;
4586: PetscFunctionReturn(PETSC_SUCCESS);
4587: }
4589: /*@
4590: SNESConvergedReasonView - Displays the reason a `SNES` solve converged or diverged to a viewer
4592: Collective
4594: Input Parameters:
4595: + snes - iterative context obtained from `SNESCreate()`
4596: - viewer - the viewer to display the reason
4598: Options Database Keys:
4599: + -snes_converged_reason - print reason for converged or diverged, also prints number of iterations
4600: - -snes_converged_reason ::failed - only print reason and number of iterations when diverged
4602: Level: beginner
4604: Note:
4605: To change the format of the output call `PetscViewerPushFormat`(viewer,format) before this call. Use `PETSC_VIEWER_DEFAULT` for the default,
4606: use `PETSC_VIEWER_FAILED` to only display a reason if it fails.
4608: .seealso: [](ch_snes), `SNESConvergedReason`, `PetscViewer`, `SNES`,
4609: `SNESCreate()`, `SNESSetUp()`, `SNESDestroy()`, `SNESSetTolerances()`, `SNESConvergedDefault()`, `SNESGetConvergedReason()`,
4610: `SNESConvergedReasonViewFromOptions()`,
4611: `PetscViewerPushFormat()`, `PetscViewerPopFormat()`
4612: @*/
4613: PetscErrorCode SNESConvergedReasonView(SNES snes, PetscViewer viewer)
4614: {
4615: PetscViewerFormat format;
4616: PetscBool isAscii;
4618: PetscFunctionBegin;
4619: if (!viewer) viewer = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));
4620: PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isAscii));
4621: if (isAscii) {
4622: PetscCall(PetscViewerGetFormat(viewer, &format));
4623: PetscCall(PetscViewerASCIIAddTab(viewer, ((PetscObject)snes)->tablevel + 1));
4624: if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) {
4625: DM dm;
4626: Vec u;
4627: PetscDS prob;
4628: PetscInt Nf;
4629: PetscErrorCode (**exactSol)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *);
4630: void **exactCtx;
4631: PetscReal error;
4633: PetscCall(SNESGetDM(snes, &dm));
4634: PetscCall(SNESGetSolution(snes, &u));
4635: PetscCall(DMGetDS(dm, &prob));
4636: PetscCall(PetscDSGetNumFields(prob, &Nf));
4637: PetscCall(PetscMalloc2(Nf, &exactSol, Nf, &exactCtx));
4638: for (PetscInt f = 0; f < Nf; ++f) PetscCall(PetscDSGetExactSolution(prob, f, &exactSol[f], &exactCtx[f]));
4639: PetscCall(DMComputeL2Diff(dm, 0.0, exactSol, exactCtx, u, &error));
4640: PetscCall(PetscFree2(exactSol, exactCtx));
4641: if (error < 1.0e-11) PetscCall(PetscViewerASCIIPrintf(viewer, "L_2 Error: < 1.0e-11\n"));
4642: else PetscCall(PetscViewerASCIIPrintf(viewer, "L_2 Error: %g\n", (double)error));
4643: }
4644: if (snes->reason > 0 && format != PETSC_VIEWER_FAILED) {
4645: if (((PetscObject)snes)->prefix) {
4646: PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear %s solve converged due to %s iterations %" PetscInt_FMT "\n", ((PetscObject)snes)->prefix, SNESConvergedReasons[snes->reason], snes->iter));
4647: } else {
4648: PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear solve converged due to %s iterations %" PetscInt_FMT "\n", SNESConvergedReasons[snes->reason], snes->iter));
4649: }
4650: } else if (snes->reason <= 0) {
4651: if (((PetscObject)snes)->prefix) {
4652: PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear %s solve did not converge due to %s iterations %" PetscInt_FMT "\n", ((PetscObject)snes)->prefix, SNESConvergedReasons[snes->reason], snes->iter));
4653: } else {
4654: PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear solve did not converge due to %s iterations %" PetscInt_FMT "\n", SNESConvergedReasons[snes->reason], snes->iter));
4655: }
4656: }
4657: PetscCall(PetscViewerASCIISubtractTab(viewer, ((PetscObject)snes)->tablevel + 1));
4658: }
4659: PetscFunctionReturn(PETSC_SUCCESS);
4660: }
4662: /*@C
4663: SNESConvergedReasonViewSet - Sets an ADDITIONAL function that is to be used at the
4664: end of the nonlinear solver to display the convergence reason of the nonlinear solver.
4666: Logically Collective
4668: Input Parameters:
4669: + snes - the `SNES` context
4670: . f - the `SNESConvergedReason` view function
4671: . vctx - [optional] user-defined context for private data for the `SNESConvergedReason` view function (use `NULL` if no context is desired)
4672: - reasonviewdestroy - [optional] routine that frees the context (may be `NULL`), see `PetscCtxDestroyFn` for the calling sequence
4674: Calling sequence of `f`:
4675: + snes - the `SNES` context
4676: - vctx - [optional] context for private data for the function
4678: Options Database Keys:
4679: + -snes_converged_reason - sets a default `SNESConvergedReasonView()`
4680: - -snes_converged_reason_view_cancel - cancels all converged reason viewers that have been hardwired into a code by
4681: calls to `SNESConvergedReasonViewSet()`, but does not cancel those set via the options database.
4683: Level: intermediate
4685: Note:
4686: Several different converged reason view routines may be set by calling
4687: `SNESConvergedReasonViewSet()` multiple times; all will be called in the
4688: order in which they were set.
4690: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESConvergedReason`, `SNESGetConvergedReason()`, `SNESConvergedReasonView()`, `SNESConvergedReasonViewCancel()`,
4691: `PetscCtxDestroyFn`
4692: @*/
4693: PetscErrorCode SNESConvergedReasonViewSet(SNES snes, PetscErrorCode (*f)(SNES snes, PetscCtx vctx), PetscCtx vctx, PetscCtxDestroyFn *reasonviewdestroy)
4694: {
4695: PetscFunctionBegin;
4697: for (PetscInt i = 0; i < snes->numberreasonviews; i++) {
4698: PetscBool identical;
4700: PetscCall(PetscMonitorCompare((PetscErrorCode (*)(void))(PetscVoidFn *)f, vctx, reasonviewdestroy, (PetscErrorCode (*)(void))(PetscVoidFn *)snes->reasonview[i], snes->reasonviewcontext[i], snes->reasonviewdestroy[i], &identical));
4701: if (identical) PetscFunctionReturn(PETSC_SUCCESS);
4702: }
4703: PetscCheck(snes->numberreasonviews < MAXSNESREASONVIEWS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many SNES reasonview set");
4704: snes->reasonview[snes->numberreasonviews] = f;
4705: snes->reasonviewdestroy[snes->numberreasonviews] = reasonviewdestroy;
4706: snes->reasonviewcontext[snes->numberreasonviews++] = vctx;
4707: PetscFunctionReturn(PETSC_SUCCESS);
4708: }
4710: /*@
4711: SNESConvergedReasonViewFromOptions - Processes command line options to determine if/how a `SNESConvergedReason` is to be viewed at the end of `SNESSolve()`
4712: All the user-provided viewer routines set with `SNESConvergedReasonViewSet()` will be called, if they exist.
4714: Collective
4716: Input Parameter:
4717: . snes - the `SNES` object
4719: Level: advanced
4721: Note:
4722: This function has a different API and behavior than `PetscObjectViewFromOptions()`
4724: .seealso: [](ch_snes), `SNES`, `SNESConvergedReason`, `SNESConvergedReasonViewSet()`, `SNESCreate()`, `SNESSetUp()`, `SNESDestroy()`,
4725: `SNESSetTolerances()`, `SNESConvergedDefault()`, `SNESGetConvergedReason()`, `SNESConvergedReasonView()`
4726: @*/
4727: PetscErrorCode SNESConvergedReasonViewFromOptions(SNES snes)
4728: {
4729: static PetscBool incall = PETSC_FALSE;
4731: PetscFunctionBegin;
4732: if (incall) PetscFunctionReturn(PETSC_SUCCESS);
4733: incall = PETSC_TRUE;
4735: /* All user-provided viewers are called first, if they exist. */
4736: for (PetscInt i = 0; i < snes->numberreasonviews; i++) PetscCall((*snes->reasonview[i])(snes, snes->reasonviewcontext[i]));
4738: /* Call PETSc default routine if users ask for it */
4739: if (snes->convergedreasonviewer) {
4740: PetscCall(PetscViewerPushFormat(snes->convergedreasonviewer, snes->convergedreasonformat));
4741: PetscCall(SNESConvergedReasonView(snes, snes->convergedreasonviewer));
4742: PetscCall(PetscViewerPopFormat(snes->convergedreasonviewer));
4743: }
4744: incall = PETSC_FALSE;
4745: PetscFunctionReturn(PETSC_SUCCESS);
4746: }
4748: /*@
4749: SNESSolve - Solves a nonlinear system $F(x) = b $ associated with a `SNES` object
4751: Collective
4753: Input Parameters:
4754: + snes - the `SNES` context
4755: . b - the constant part of the equation $F(x) = b$, or `NULL` to use zero.
4756: - x - the solution vector.
4758: Level: beginner
4760: Note:
4761: The user should initialize the vector, `x`, with the initial guess
4762: for the nonlinear solve prior to calling `SNESSolve()` .
4764: .seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESDestroy()`, `SNESSetFunction()`, `SNESSetJacobian()`, `SNESSetGridSequence()`, `SNESGetSolution()`,
4765: `SNESNewtonTRSetPreCheck()`, `SNESNewtonTRGetPreCheck()`, `SNESNewtonTRSetPostCheck()`, `SNESNewtonTRGetPostCheck()`,
4766: `SNESLineSearchSetPostCheck()`, `SNESLineSearchGetPostCheck()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchGetPreCheck()`
4767: @*/
4768: PetscErrorCode SNESSolve(SNES snes, Vec b, Vec x)
4769: {
4770: PetscBool flg;
4771: Vec xcreated = NULL;
4772: DM dm;
4774: PetscFunctionBegin;
4777: if (x) PetscCheckSameComm(snes, 1, x, 3);
4779: if (b) PetscCheckSameComm(snes, 1, b, 2);
4781: /* High level operations using the nonlinear solver */
4782: {
4783: PetscViewer viewer;
4784: PetscViewerFormat format;
4785: PetscInt num;
4786: PetscBool flg;
4787: static PetscBool incall = PETSC_FALSE;
4789: if (!incall) {
4790: /* Estimate the convergence rate of the discretization */
4791: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_convergence_estimate", &viewer, &format, &flg));
4792: if (flg) {
4793: PetscConvEst conv;
4794: DM dm;
4795: PetscReal *alpha; /* Convergence rate of the solution error for each field in the L_2 norm */
4796: PetscInt Nf;
4798: incall = PETSC_TRUE;
4799: PetscCall(SNESGetDM(snes, &dm));
4800: PetscCall(DMGetNumFields(dm, &Nf));
4801: PetscCall(PetscCalloc1(Nf, &alpha));
4802: PetscCall(PetscConvEstCreate(PetscObjectComm((PetscObject)snes), &conv));
4803: PetscCall(PetscConvEstSetSolver(conv, (PetscObject)snes));
4804: PetscCall(PetscConvEstSetFromOptions(conv));
4805: PetscCall(PetscConvEstSetUp(conv));
4806: PetscCall(PetscConvEstGetConvRate(conv, alpha));
4807: PetscCall(PetscViewerPushFormat(viewer, format));
4808: PetscCall(PetscConvEstRateView(conv, alpha, viewer));
4809: PetscCall(PetscViewerPopFormat(viewer));
4810: PetscCall(PetscViewerDestroy(&viewer));
4811: PetscCall(PetscConvEstDestroy(&conv));
4812: PetscCall(PetscFree(alpha));
4813: incall = PETSC_FALSE;
4814: }
4815: /* Adaptively refine the initial grid */
4816: num = 1;
4817: PetscCall(PetscOptionsGetInt(NULL, ((PetscObject)snes)->prefix, "-snes_adapt_initial", &num, &flg));
4818: if (flg) {
4819: DMAdaptor adaptor;
4821: incall = PETSC_TRUE;
4822: PetscCall(DMAdaptorCreate(PetscObjectComm((PetscObject)snes), &adaptor));
4823: PetscCall(DMAdaptorSetSolver(adaptor, snes));
4824: PetscCall(DMAdaptorSetSequenceLength(adaptor, num));
4825: PetscCall(DMAdaptorSetFromOptions(adaptor));
4826: PetscCall(DMAdaptorSetUp(adaptor));
4827: PetscCall(DMAdaptorAdapt(adaptor, x, DM_ADAPTATION_INITIAL, &dm, &x));
4828: PetscCall(DMAdaptorDestroy(&adaptor));
4829: incall = PETSC_FALSE;
4830: }
4831: /* Use grid sequencing to adapt */
4832: num = 0;
4833: PetscCall(PetscOptionsGetInt(NULL, ((PetscObject)snes)->prefix, "-snes_adapt_sequence", &num, NULL));
4834: if (num) {
4835: DMAdaptor adaptor;
4836: const char *prefix;
4838: incall = PETSC_TRUE;
4839: PetscCall(DMAdaptorCreate(PetscObjectComm((PetscObject)snes), &adaptor));
4840: PetscCall(SNESGetOptionsPrefix(snes, &prefix));
4841: PetscCall(DMAdaptorSetOptionsPrefix(adaptor, prefix));
4842: PetscCall(DMAdaptorSetSolver(adaptor, snes));
4843: PetscCall(DMAdaptorSetSequenceLength(adaptor, num));
4844: PetscCall(DMAdaptorSetFromOptions(adaptor));
4845: PetscCall(DMAdaptorSetUp(adaptor));
4846: PetscCall(PetscObjectViewFromOptions((PetscObject)adaptor, NULL, "-snes_adapt_view"));
4847: PetscCall(DMAdaptorAdapt(adaptor, x, DM_ADAPTATION_SEQUENTIAL, &dm, &x));
4848: PetscCall(DMAdaptorDestroy(&adaptor));
4849: incall = PETSC_FALSE;
4850: }
4851: }
4852: }
4853: if (!x) x = snes->vec_sol;
4854: if (!x) {
4855: PetscCall(SNESGetDM(snes, &dm));
4856: PetscCall(DMCreateGlobalVector(dm, &xcreated));
4857: x = xcreated;
4858: }
4859: PetscCall(SNESViewFromOptions(snes, NULL, "-snes_view_pre"));
4861: for (PetscInt grid = 0; grid < snes->gridsequence; grid++) PetscCall(PetscViewerASCIIPushTab(PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes))));
4862: for (PetscInt grid = 0; grid < snes->gridsequence + 1; grid++) {
4863: /* set solution vector */
4864: if (!grid) PetscCall(PetscObjectReference((PetscObject)x));
4865: PetscCall(VecDestroy(&snes->vec_sol));
4866: snes->vec_sol = x;
4867: PetscCall(SNESGetDM(snes, &dm));
4869: /* set affine vector if provided */
4870: PetscCall(PetscObjectReference((PetscObject)b));
4871: PetscCall(VecDestroy(&snes->vec_rhs));
4872: snes->vec_rhs = b;
4874: if (snes->vec_rhs) PetscCheck(snes->vec_func != snes->vec_rhs, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Right hand side vector cannot be function vector");
4875: PetscCheck(snes->vec_func != snes->vec_sol, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Solution vector cannot be function vector");
4876: PetscCheck(snes->vec_rhs != snes->vec_sol, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Solution vector cannot be right-hand side vector");
4877: if (!snes->vec_sol_update /* && snes->vec_sol */) PetscCall(VecDuplicate(snes->vec_sol, &snes->vec_sol_update));
4878: PetscCall(DMShellSetGlobalVector(dm, snes->vec_sol));
4879: PetscCall(SNESSetUp(snes));
4881: if (!grid) {
4882: if (snes->ops->computeinitialguess) PetscCallBack("SNES callback compute initial guess", (*snes->ops->computeinitialguess)(snes, snes->vec_sol, snes->initialguessP));
4883: }
4885: if (snes->conv_hist_reset) snes->conv_hist_len = 0;
4886: PetscCall(SNESResetCounters(snes));
4887: snes->reason = SNES_CONVERGED_ITERATING;
4888: PetscCall(PetscLogEventBegin(SNES_Solve, snes, 0, 0, 0));
4889: PetscUseTypeMethod(snes, solve);
4890: PetscCall(PetscLogEventEnd(SNES_Solve, snes, 0, 0, 0));
4891: PetscCheck(snes->reason, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Internal error, solver %s returned without setting converged reason", ((PetscObject)snes)->type_name);
4892: snes->functiondomainerror = PETSC_FALSE; /* clear the flag if it has been set */
4893: snes->objectivedomainerror = PETSC_FALSE; /* clear the flag if it has been set */
4894: snes->jacobiandomainerror = PETSC_FALSE; /* clear the flag if it has been set */
4896: if (snes->lagjac_persist) snes->jac_iter += snes->iter;
4897: if (snes->lagpre_persist) snes->pre_iter += snes->iter;
4899: PetscCall(PetscOptionsCreateViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_test_local_min", NULL, NULL, &flg));
4900: if (flg && !PetscPreLoadingOn) PetscCall(SNESTestLocalMin(snes));
4901: /* Call converged reason views. This may involve user-provided viewers as well */
4902: PetscCall(SNESConvergedReasonViewFromOptions(snes));
4904: if (snes->errorifnotconverged) {
4905: if (snes->reason < 0) PetscCall(SNESMonitorCancel(snes));
4906: PetscCheck(snes->reason >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_NOT_CONVERGED, "SNESSolve has not converged");
4907: }
4908: if (snes->reason < 0) break;
4909: if (grid < snes->gridsequence) {
4910: DM fine;
4911: Vec xnew;
4912: Mat interp;
4914: PetscCall(DMRefine(snes->dm, PetscObjectComm((PetscObject)snes), &fine));
4915: PetscCheck(fine, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_INCOMP, "DMRefine() did not perform any refinement, cannot continue grid sequencing");
4916: PetscCall(DMGetCoordinatesLocalSetUp(fine));
4917: PetscCall(DMCreateInterpolation(snes->dm, fine, &interp, NULL));
4918: PetscCall(DMCreateGlobalVector(fine, &xnew));
4919: PetscCall(MatInterpolate(interp, x, xnew));
4920: PetscCall(DMInterpolate(snes->dm, interp, fine));
4921: PetscCall(MatDestroy(&interp));
4922: x = xnew;
4924: PetscCall(SNESReset(snes));
4925: PetscCall(SNESSetDM(snes, fine));
4926: PetscCall(SNESResetFromOptions(snes));
4927: PetscCall(DMDestroy(&fine));
4928: PetscCall(PetscViewerASCIIPopTab(PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes))));
4929: }
4930: }
4931: PetscCall(SNESViewFromOptions(snes, NULL, "-snes_view"));
4932: PetscCall(VecViewFromOptions(snes->vec_sol, (PetscObject)snes, "-snes_view_solution"));
4933: PetscCall(DMMonitor(snes->dm));
4934: PetscCall(SNESMonitorPauseFinal_Internal(snes));
4936: PetscCall(VecDestroy(&xcreated));
4937: PetscCall(PetscObjectSAWsBlock((PetscObject)snes));
4938: PetscFunctionReturn(PETSC_SUCCESS);
4939: }
4941: /* --------- Internal routines for SNES Package --------- */
4943: /*@
4944: SNESSetType - Sets the algorithm/method to be used to solve the nonlinear system with the given `SNES`
4946: Collective
4948: Input Parameters:
4949: + snes - the `SNES` context
4950: - type - a known method
4952: Options Database Key:
4953: . -snes_type type - Sets the method; see `SNESType`
4955: Level: intermediate
4957: Notes:
4958: See `SNESType` for available methods (for instance)
4959: + `SNESNEWTONLS` - Newton's method with line search
4960: (systems of nonlinear equations)
4961: - `SNESNEWTONTR` - Newton's method with trust region
4962: (systems of nonlinear equations)
4964: Normally, it is best to use the `SNESSetFromOptions()` command and then
4965: set the `SNES` solver type from the options database rather than by using
4966: this routine. Using the options database provides the user with
4967: maximum flexibility in evaluating the many nonlinear solvers.
4968: The `SNESSetType()` routine is provided for those situations where it
4969: is necessary to set the nonlinear solver independently of the command
4970: line or options database. This might be the case, for example, when
4971: the choice of solver changes during the execution of the program,
4972: and the user's application is taking responsibility for choosing the
4973: appropriate method.
4975: Developer Note:
4976: `SNESRegister()` adds a constructor for a new `SNESType` to `SNESList`, `SNESSetType()` locates
4977: the constructor in that list and calls it to create the specific object.
4979: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESType`, `SNESCreate()`, `SNESDestroy()`, `SNESGetType()`, `SNESSetFromOptions()`
4980: @*/
4981: PetscErrorCode SNESSetType(SNES snes, SNESType type)
4982: {
4983: PetscBool match;
4984: PetscErrorCode (*r)(SNES);
4986: PetscFunctionBegin;
4988: PetscAssertPointer(type, 2);
4990: PetscCall(PetscObjectTypeCompare((PetscObject)snes, type, &match));
4991: if (match) PetscFunctionReturn(PETSC_SUCCESS);
4993: PetscCall(PetscFunctionListFind(SNESList, type, &r));
4994: PetscCheck(r, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_UNKNOWN_TYPE, "Unable to find requested SNES type %s", type);
4995: /* Destroy the previous private SNES context */
4996: PetscTryTypeMethod(snes, destroy);
4997: /* Reinitialize type-specific function pointers in SNESOps structure */
4998: snes->ops->reset = NULL;
4999: snes->ops->setup = NULL;
5000: snes->ops->solve = NULL;
5001: snes->ops->view = NULL;
5002: snes->ops->setfromoptions = NULL;
5003: snes->ops->destroy = NULL;
5005: /* It may happen the user has customized the line search before calling SNESSetType */
5006: if (((PetscObject)snes)->type_name) PetscCall(SNESLineSearchDestroy(&snes->linesearch));
5008: /* Call the SNESCreate_XXX routine for this particular Nonlinear solver */
5009: snes->setupcalled = PETSC_FALSE;
5011: PetscCall(PetscObjectChangeTypeName((PetscObject)snes, type));
5012: PetscCall((*r)(snes));
5013: PetscFunctionReturn(PETSC_SUCCESS);
5014: }
5016: /*@
5017: SNESGetType - Gets the `SNES` method type and name (as a string).
5019: Not Collective
5021: Input Parameter:
5022: . snes - nonlinear solver context
5024: Output Parameter:
5025: . type - `SNES` method (a character string)
5027: Level: intermediate
5029: .seealso: [](ch_snes), `SNESSetType()`, `SNESType`, `SNESSetFromOptions()`, `SNES`
5030: @*/
5031: PetscErrorCode SNESGetType(SNES snes, SNESType *type)
5032: {
5033: PetscFunctionBegin;
5035: PetscAssertPointer(type, 2);
5036: *type = ((PetscObject)snes)->type_name;
5037: PetscFunctionReturn(PETSC_SUCCESS);
5038: }
5040: /*@
5041: SNESSetSolution - Sets the solution vector for use by the `SNES` routines.
5043: Logically Collective
5045: Input Parameters:
5046: + snes - the `SNES` context obtained from `SNESCreate()`
5047: - u - the solution vector
5049: Level: beginner
5051: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESGetSolution()`, `Vec`
5052: @*/
5053: PetscErrorCode SNESSetSolution(SNES snes, Vec u)
5054: {
5055: DM dm;
5057: PetscFunctionBegin;
5060: PetscCall(PetscObjectReference((PetscObject)u));
5061: PetscCall(VecDestroy(&snes->vec_sol));
5063: snes->vec_sol = u;
5065: PetscCall(SNESGetDM(snes, &dm));
5066: PetscCall(DMShellSetGlobalVector(dm, u));
5067: PetscFunctionReturn(PETSC_SUCCESS);
5068: }
5070: /*@
5071: SNESGetSolution - Returns the vector where the approximate solution is
5072: stored. This is the fine grid solution when using `SNESSetGridSequence()`.
5074: Not Collective, but `x` is parallel if `snes` is parallel
5076: Input Parameter:
5077: . snes - the `SNES` context
5079: Output Parameter:
5080: . x - the solution
5082: Level: intermediate
5084: .seealso: [](ch_snes), `SNESSetSolution()`, `SNESSolve()`, `SNES`, `SNESGetSolutionUpdate()`, `SNESGetFunction()`
5085: @*/
5086: PetscErrorCode SNESGetSolution(SNES snes, Vec *x)
5087: {
5088: PetscFunctionBegin;
5090: PetscAssertPointer(x, 2);
5091: *x = snes->vec_sol;
5092: PetscFunctionReturn(PETSC_SUCCESS);
5093: }
5095: /*@
5096: SNESGetSolutionUpdate - Returns the vector where the solution update is
5097: stored.
5099: Not Collective, but `x` is parallel if `snes` is parallel
5101: Input Parameter:
5102: . snes - the `SNES` context
5104: Output Parameter:
5105: . x - the solution update
5107: Level: advanced
5109: .seealso: [](ch_snes), `SNES`, `SNESGetSolution()`, `SNESGetFunction()`
5110: @*/
5111: PetscErrorCode SNESGetSolutionUpdate(SNES snes, Vec *x)
5112: {
5113: PetscFunctionBegin;
5115: PetscAssertPointer(x, 2);
5116: *x = snes->vec_sol_update;
5117: PetscFunctionReturn(PETSC_SUCCESS);
5118: }
5120: /*@C
5121: SNESGetFunction - Returns the function that defines the nonlinear system set with `SNESSetFunction()`
5123: Not Collective, but `r` is parallel if `snes` is parallel. Collective if `r` is requested, but has not been created yet.
5125: Input Parameter:
5126: . snes - the `SNES` context
5128: Output Parameters:
5129: + r - the vector that is used to store residuals (or `NULL` if you don't want it)
5130: . f - the function (or `NULL` if you don't want it); for calling sequence see `SNESFunctionFn`
5131: - ctx - the function context (or `NULL` if you don't want it)
5133: Level: advanced
5135: Note:
5136: The vector `r` DOES NOT, in general, contain the current value of the `SNES` nonlinear function
5138: .seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetFunction()`, `SNESGetSolution()`, `SNESFunctionFn`
5139: @*/
5140: PetscErrorCode SNESGetFunction(SNES snes, Vec *r, SNESFunctionFn **f, PetscCtxRt ctx)
5141: {
5142: DM dm;
5144: PetscFunctionBegin;
5146: if (r) {
5147: if (!snes->vec_func) {
5148: if (snes->vec_rhs) {
5149: PetscCall(VecDuplicate(snes->vec_rhs, &snes->vec_func));
5150: } else if (snes->vec_sol) {
5151: PetscCall(VecDuplicate(snes->vec_sol, &snes->vec_func));
5152: } else if (snes->dm) {
5153: PetscCall(DMCreateGlobalVector(snes->dm, &snes->vec_func));
5154: }
5155: }
5156: *r = snes->vec_func;
5157: }
5158: PetscCall(SNESGetDM(snes, &dm));
5159: PetscCall(DMSNESGetFunction(dm, f, ctx));
5160: PetscFunctionReturn(PETSC_SUCCESS);
5161: }
5163: /*@C
5164: SNESGetNGS - Returns the function and context set with `SNESSetNGS()`
5166: Input Parameter:
5167: . snes - the `SNES` context
5169: Output Parameters:
5170: + f - the function (or `NULL`) see `SNESNGSFn` for calling sequence
5171: - ctx - the function context (or `NULL`)
5173: Level: advanced
5175: .seealso: [](ch_snes), `SNESSetNGS()`, `SNESGetFunction()`, `SNESNGSFn`
5176: @*/
5177: PetscErrorCode SNESGetNGS(SNES snes, SNESNGSFn **f, PetscCtxRt ctx)
5178: {
5179: DM dm;
5181: PetscFunctionBegin;
5183: PetscCall(SNESGetDM(snes, &dm));
5184: PetscCall(DMSNESGetNGS(dm, f, ctx));
5185: PetscFunctionReturn(PETSC_SUCCESS);
5186: }
5188: /*@
5189: SNESSetOptionsPrefix - Sets the prefix used for searching for all
5190: `SNES` options in the database.
5192: Logically Collective
5194: Input Parameters:
5195: + snes - the `SNES` context
5196: - prefix - the prefix to prepend to all option names
5198: Level: advanced
5200: Note:
5201: A hyphen (-) must NOT be given at the beginning of the prefix name.
5202: The first character of all runtime options is AUTOMATICALLY the hyphen.
5204: .seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`, `SNESAppendOptionsPrefix()`
5205: @*/
5206: PetscErrorCode SNESSetOptionsPrefix(SNES snes, const char prefix[])
5207: {
5208: PetscFunctionBegin;
5210: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)snes, prefix));
5211: if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
5212: if (snes->linesearch) {
5213: PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
5214: PetscCall(PetscObjectSetOptionsPrefix((PetscObject)snes->linesearch, prefix));
5215: }
5216: PetscCall(KSPSetOptionsPrefix(snes->ksp, prefix));
5217: PetscFunctionReturn(PETSC_SUCCESS);
5218: }
5220: /*@
5221: SNESAppendOptionsPrefix - Appends to the prefix used for searching for all
5222: `SNES` options in the database.
5224: Logically Collective
5226: Input Parameters:
5227: + snes - the `SNES` context
5228: - prefix - the prefix to prepend to all option names
5230: Level: advanced
5232: Note:
5233: A hyphen (-) must NOT be given at the beginning of the prefix name.
5234: The first character of all runtime options is AUTOMATICALLY the hyphen.
5236: .seealso: [](ch_snes), `SNESGetOptionsPrefix()`, `SNESSetOptionsPrefix()`
5237: @*/
5238: PetscErrorCode SNESAppendOptionsPrefix(SNES snes, const char prefix[])
5239: {
5240: PetscFunctionBegin;
5242: PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)snes, prefix));
5243: if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
5244: if (snes->linesearch) {
5245: PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
5246: PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)snes->linesearch, prefix));
5247: }
5248: PetscCall(KSPAppendOptionsPrefix(snes->ksp, prefix));
5249: PetscFunctionReturn(PETSC_SUCCESS);
5250: }
5252: /*@
5253: SNESGetOptionsPrefix - Gets the prefix used for searching for all
5254: `SNES` options in the database.
5256: Not Collective
5258: Input Parameter:
5259: . snes - the `SNES` context
5261: Output Parameter:
5262: . prefix - pointer to the prefix string used
5264: Level: advanced
5266: .seealso: [](ch_snes), `SNES`, `SNESSetOptionsPrefix()`, `SNESAppendOptionsPrefix()`
5267: @*/
5268: PetscErrorCode SNESGetOptionsPrefix(SNES snes, const char *prefix[])
5269: {
5270: PetscFunctionBegin;
5272: PetscCall(PetscObjectGetOptionsPrefix((PetscObject)snes, prefix));
5273: PetscFunctionReturn(PETSC_SUCCESS);
5274: }
5276: /*@C
5277: SNESRegister - Adds a method to the nonlinear solver package.
5279: Not Collective
5281: Input Parameters:
5282: + sname - name of a new user-defined solver
5283: - function - routine to create method context
5285: Level: advanced
5287: Note:
5288: `SNESRegister()` may be called multiple times to add several user-defined solvers.
5290: Example Usage:
5291: .vb
5292: SNESRegister("my_solver", MySolverCreate);
5293: .ve
5295: Then, your solver can be chosen with the procedural interface via
5296: .vb
5297: SNESSetType(snes, "my_solver")
5298: .ve
5299: or at runtime via the option
5300: .vb
5301: -snes_type my_solver
5302: .ve
5304: .seealso: [](ch_snes), `SNESRegisterAll()`, `SNESRegisterDestroy()`
5305: @*/
5306: PetscErrorCode SNESRegister(const char sname[], PetscErrorCode (*function)(SNES))
5307: {
5308: PetscFunctionBegin;
5309: PetscCall(SNESInitializePackage());
5310: PetscCall(PetscFunctionListAdd(&SNESList, sname, function));
5311: PetscFunctionReturn(PETSC_SUCCESS);
5312: }
5314: PetscErrorCode SNESTestLocalMin(SNES snes)
5315: {
5316: PetscInt N, i, j;
5317: Vec u, uh, fh;
5318: PetscScalar value;
5319: PetscReal norm;
5321: PetscFunctionBegin;
5322: PetscCall(SNESGetSolution(snes, &u));
5323: PetscCall(VecDuplicate(u, &uh));
5324: PetscCall(VecDuplicate(u, &fh));
5326: /* currently only works for sequential */
5327: PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), "Testing FormFunction() for local min\n"));
5328: PetscCall(VecGetSize(u, &N));
5329: for (i = 0; i < N; i++) {
5330: PetscCall(VecCopy(u, uh));
5331: PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), "i = %" PetscInt_FMT "\n", i));
5332: for (j = -10; j < 11; j++) {
5333: value = PetscSign(j) * PetscExpReal(PetscAbs(j) - 10.0);
5334: PetscCall(VecSetValue(uh, i, value, ADD_VALUES));
5335: PetscCall(SNESComputeFunction(snes, uh, fh));
5336: PetscCall(VecNorm(fh, NORM_2, &norm)); /* does not handle use of SNESSetFunctionDomainError() correctly */
5337: PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), " j norm %" PetscInt_FMT " %18.16e\n", j, (double)norm));
5338: value = -value;
5339: PetscCall(VecSetValue(uh, i, value, ADD_VALUES));
5340: }
5341: }
5342: PetscCall(VecDestroy(&uh));
5343: PetscCall(VecDestroy(&fh));
5344: PetscFunctionReturn(PETSC_SUCCESS);
5345: }
5347: /*@
5348: SNESGetLineSearch - Returns the line search associated with the `SNES`.
5350: Not Collective
5352: Input Parameter:
5353: . snes - iterative context obtained from `SNESCreate()`
5355: Output Parameter:
5356: . linesearch - linesearch context
5358: Level: beginner
5360: Notes:
5361: It creates a default line search instance which can be configured as needed in case it has not been already set with `SNESSetLineSearch()`.
5363: You can also use the options database keys `-snes_linesearch_*` to configure the line search. See `SNESLineSearchSetFromOptions()` for the possible options.
5365: .seealso: [](ch_snes), `SNESLineSearch`, `SNESSetLineSearch()`, `SNESLineSearchCreate()`, `SNESLineSearchSetFromOptions()`
5366: @*/
5367: PetscErrorCode SNESGetLineSearch(SNES snes, SNESLineSearch *linesearch)
5368: {
5369: const char *optionsprefix;
5371: PetscFunctionBegin;
5373: PetscAssertPointer(linesearch, 2);
5374: if (!snes->linesearch) {
5375: PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
5376: PetscCall(SNESLineSearchCreate(PetscObjectComm((PetscObject)snes), &snes->linesearch));
5377: PetscCall(SNESLineSearchSetSNES(snes->linesearch, snes));
5378: PetscCall(SNESLineSearchAppendOptionsPrefix(snes->linesearch, optionsprefix));
5379: PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->linesearch, (PetscObject)snes, 1));
5380: }
5381: *linesearch = snes->linesearch;
5382: PetscFunctionReturn(PETSC_SUCCESS);
5383: }
5385: /*@
5386: SNESKSPSetUseEW - Sets `SNES` to the use Eisenstat-Walker method for
5387: computing relative tolerance for linear solvers within an inexact
5388: Newton method.
5390: Logically Collective
5392: Input Parameters:
5393: + snes - `SNES` context
5394: - flag - `PETSC_TRUE` or `PETSC_FALSE`
5396: Options Database Keys:
5397: + -snes_ksp_ew - use Eisenstat-Walker method for determining linear system convergence
5398: . -snes_ksp_ew_version ver - version of Eisenstat-Walker method
5399: . -snes_ksp_ew_rtol0 rtol0 - Sets rtol0
5400: . -snes_ksp_ew_rtolmax rtolmax - Sets rtolmax
5401: . -snes_ksp_ew_gamma gamma - Sets gamma
5402: . -snes_ksp_ew_alpha alpha - Sets alpha
5403: . -snes_ksp_ew_alpha2 alpha2 - Sets alpha2
5404: - -snes_ksp_ew_threshold threshold - Sets threshold
5406: Level: advanced
5408: Note:
5409: The default is to use a constant relative tolerance for
5410: the inner linear solvers. Alternatively, one can use the
5411: Eisenstat-Walker method {cite}`ew96`, where the relative convergence tolerance
5412: is reset at each Newton iteration according progress of the nonlinear
5413: solver.
5415: .seealso: [](ch_snes), `KSP`, `SNES`, `SNESKSPGetUseEW()`, `SNESKSPGetParametersEW()`, `SNESKSPSetParametersEW()`
5416: @*/
5417: PetscErrorCode SNESKSPSetUseEW(SNES snes, PetscBool flag)
5418: {
5419: PetscFunctionBegin;
5422: snes->ksp_ewconv = flag;
5423: PetscFunctionReturn(PETSC_SUCCESS);
5424: }
5426: /*@
5427: SNESKSPGetUseEW - Gets if `SNES` is using Eisenstat-Walker method
5428: for computing relative tolerance for linear solvers within an
5429: inexact Newton method.
5431: Not Collective
5433: Input Parameter:
5434: . snes - `SNES` context
5436: Output Parameter:
5437: . flag - `PETSC_TRUE` or `PETSC_FALSE`
5439: Level: advanced
5441: .seealso: [](ch_snes), `SNESKSPSetUseEW()`, `SNESKSPGetParametersEW()`, `SNESKSPSetParametersEW()`
5442: @*/
5443: PetscErrorCode SNESKSPGetUseEW(SNES snes, PetscBool *flag)
5444: {
5445: PetscFunctionBegin;
5447: PetscAssertPointer(flag, 2);
5448: *flag = snes->ksp_ewconv;
5449: PetscFunctionReturn(PETSC_SUCCESS);
5450: }
5452: /*@
5453: SNESKSPSetParametersEW - Sets parameters for Eisenstat-Walker
5454: convergence criteria for the linear solvers within an inexact
5455: Newton method.
5457: Logically Collective
5459: Input Parameters:
5460: + snes - `SNES` context
5461: . version - version 1, 2 (default is 2), 3 or 4
5462: . rtol_0 - initial relative tolerance (0 <= rtol_0 < 1)
5463: . rtol_max - maximum relative tolerance (0 <= rtol_max < 1)
5464: . gamma - multiplicative factor for version 2 rtol computation
5465: (0 <= gamma2 <= 1)
5466: . alpha - power for version 2 rtol computation (1 < alpha <= 2)
5467: . alpha2 - power for safeguard
5468: - threshold - threshold for imposing safeguard (0 < threshold < 1)
5470: Level: advanced
5472: Notes:
5473: Version 3 was contributed by Luis Chacon, June 2006.
5475: Use `PETSC_CURRENT` to retain the default for any of the parameters.
5477: .seealso: [](ch_snes), `SNES`, `SNESKSPSetUseEW()`, `SNESKSPGetUseEW()`, `SNESKSPGetParametersEW()`
5478: @*/
5479: PetscErrorCode SNESKSPSetParametersEW(SNES snes, PetscInt version, PetscReal rtol_0, PetscReal rtol_max, PetscReal gamma, PetscReal alpha, PetscReal alpha2, PetscReal threshold)
5480: {
5481: SNESKSPEW *kctx;
5483: PetscFunctionBegin;
5485: kctx = (SNESKSPEW *)snes->kspconvctx;
5486: PetscCheck(kctx, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "No Eisenstat-Walker context existing");
5495: if (version != PETSC_CURRENT) kctx->version = version;
5496: if (rtol_0 != (PetscReal)PETSC_CURRENT) kctx->rtol_0 = rtol_0;
5497: if (rtol_max != (PetscReal)PETSC_CURRENT) kctx->rtol_max = rtol_max;
5498: if (gamma != (PetscReal)PETSC_CURRENT) kctx->gamma = gamma;
5499: if (alpha != (PetscReal)PETSC_CURRENT) kctx->alpha = alpha;
5500: if (alpha2 != (PetscReal)PETSC_CURRENT) kctx->alpha2 = alpha2;
5501: if (threshold != (PetscReal)PETSC_CURRENT) kctx->threshold = threshold;
5503: PetscCheck(kctx->version >= 1 && kctx->version <= 4, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only versions 1 to 4 are supported: %" PetscInt_FMT, kctx->version);
5504: PetscCheck(kctx->rtol_0 >= 0.0 && kctx->rtol_0 < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= rtol_0 < 1.0: %g", (double)kctx->rtol_0);
5505: PetscCheck(kctx->rtol_max >= 0.0 && kctx->rtol_max < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= rtol_max (%g) < 1.0", (double)kctx->rtol_max);
5506: PetscCheck(kctx->gamma >= 0.0 && kctx->gamma <= 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= gamma (%g) <= 1.0", (double)kctx->gamma);
5507: PetscCheck(kctx->alpha > 1.0 && kctx->alpha <= 2.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "1.0 < alpha (%g) <= 2.0", (double)kctx->alpha);
5508: PetscCheck(kctx->threshold > 0.0 && kctx->threshold < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 < threshold (%g) < 1.0", (double)kctx->threshold);
5509: PetscFunctionReturn(PETSC_SUCCESS);
5510: }
5512: /*@
5513: SNESKSPGetParametersEW - Gets parameters for Eisenstat-Walker
5514: convergence criteria for the linear solvers within an inexact
5515: Newton method.
5517: Not Collective
5519: Input Parameter:
5520: . snes - `SNES` context
5522: Output Parameters:
5523: + version - version 1, 2 (default is 2), 3 or 4
5524: . rtol_0 - initial relative tolerance (0 <= rtol_0 < 1)
5525: . rtol_max - maximum relative tolerance (0 <= rtol_max < 1)
5526: . gamma - multiplicative factor for version 2 rtol computation (0 <= gamma2 <= 1)
5527: . alpha - power for version 2 rtol computation (1 < alpha <= 2)
5528: . alpha2 - power for safeguard
5529: - threshold - threshold for imposing safeguard (0 < threshold < 1)
5531: Level: advanced
5533: .seealso: [](ch_snes), `SNES`, `SNESKSPSetUseEW()`, `SNESKSPGetUseEW()`, `SNESKSPSetParametersEW()`
5534: @*/
5535: PetscErrorCode SNESKSPGetParametersEW(SNES snes, PetscInt *version, PetscReal *rtol_0, PetscReal *rtol_max, PetscReal *gamma, PetscReal *alpha, PetscReal *alpha2, PetscReal *threshold)
5536: {
5537: SNESKSPEW *kctx;
5539: PetscFunctionBegin;
5541: kctx = (SNESKSPEW *)snes->kspconvctx;
5542: PetscCheck(kctx, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "No Eisenstat-Walker context existing");
5543: if (version) *version = kctx->version;
5544: if (rtol_0) *rtol_0 = kctx->rtol_0;
5545: if (rtol_max) *rtol_max = kctx->rtol_max;
5546: if (gamma) *gamma = kctx->gamma;
5547: if (alpha) *alpha = kctx->alpha;
5548: if (alpha2) *alpha2 = kctx->alpha2;
5549: if (threshold) *threshold = kctx->threshold;
5550: PetscFunctionReturn(PETSC_SUCCESS);
5551: }
5553: PetscErrorCode KSPPreSolve_SNESEW(KSP ksp, Vec b, Vec x, PetscCtx ctx)
5554: {
5555: SNES snes = (SNES)ctx;
5556: SNESKSPEW *kctx = (SNESKSPEW *)snes->kspconvctx;
5557: PetscReal rtol = PETSC_CURRENT, stol;
5559: PetscFunctionBegin;
5560: if (!snes->ksp_ewconv) PetscFunctionReturn(PETSC_SUCCESS);
5561: if (!snes->iter) {
5562: rtol = kctx->rtol_0; /* first time in, so use the original user rtol */
5563: PetscCall(VecNorm(snes->vec_func, NORM_2, &kctx->norm_first));
5564: } else {
5565: PetscCheck(kctx->version >= 1 && kctx->version <= 4, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only versions 1-4 are supported: %" PetscInt_FMT, kctx->version);
5566: if (kctx->version == 1) {
5567: rtol = PetscAbsReal(snes->norm - kctx->lresid_last) / kctx->norm_last;
5568: stol = PetscPowReal(kctx->rtol_last, kctx->alpha2);
5569: if (stol > kctx->threshold) rtol = PetscMax(rtol, stol);
5570: } else if (kctx->version == 2) {
5571: rtol = kctx->gamma * PetscPowReal(snes->norm / kctx->norm_last, kctx->alpha);
5572: stol = kctx->gamma * PetscPowReal(kctx->rtol_last, kctx->alpha);
5573: if (stol > kctx->threshold) rtol = PetscMax(rtol, stol);
5574: } else if (kctx->version == 3) { /* contributed by Luis Chacon, June 2006. */
5575: rtol = kctx->gamma * PetscPowReal(snes->norm / kctx->norm_last, kctx->alpha);
5576: /* safeguard: avoid sharp decrease of rtol */
5577: stol = kctx->gamma * PetscPowReal(kctx->rtol_last, kctx->alpha);
5578: stol = PetscMax(rtol, stol);
5579: rtol = PetscMin(kctx->rtol_0, stol);
5580: /* safeguard: avoid oversolving */
5581: stol = kctx->gamma * (kctx->norm_first * snes->rtol) / snes->norm;
5582: stol = PetscMax(rtol, stol);
5583: rtol = PetscMin(kctx->rtol_0, stol);
5584: } else /* if (kctx->version == 4) */ {
5585: /* H.-B. An et al. Journal of Computational and Applied Mathematics 200 (2007) 47-60 */
5586: PetscReal ared = PetscAbsReal(kctx->norm_last - snes->norm);
5587: PetscReal pred = PetscAbsReal(kctx->norm_last - kctx->lresid_last);
5588: PetscReal rk = ared / pred;
5589: if (rk < kctx->v4_p1) rtol = 1. - 2. * kctx->v4_p1;
5590: else if (rk < kctx->v4_p2) rtol = kctx->rtol_last;
5591: else if (rk < kctx->v4_p3) rtol = kctx->v4_m1 * kctx->rtol_last;
5592: else rtol = kctx->v4_m2 * kctx->rtol_last;
5594: if (kctx->rtol_last_2 > kctx->v4_m3 && kctx->rtol_last > kctx->v4_m3 && kctx->rk_last_2 < kctx->v4_p1 && kctx->rk_last < kctx->v4_p1) rtol = kctx->v4_m4 * kctx->rtol_last;
5595: kctx->rtol_last_2 = kctx->rtol_last;
5596: kctx->rk_last_2 = kctx->rk_last;
5597: kctx->rk_last = rk;
5598: }
5599: }
5600: /* safeguard: avoid rtol greater than rtol_max */
5601: rtol = PetscMin(rtol, kctx->rtol_max);
5602: PetscCall(KSPSetTolerances(ksp, rtol, PETSC_CURRENT, PETSC_CURRENT, PETSC_CURRENT));
5603: PetscCall(PetscInfo(snes, "iter %" PetscInt_FMT ", Eisenstat-Walker (version %" PetscInt_FMT ") KSP rtol=%g\n", snes->iter, kctx->version, (double)rtol));
5604: PetscFunctionReturn(PETSC_SUCCESS);
5605: }
5607: PetscErrorCode KSPPostSolve_SNESEW(KSP ksp, Vec b, Vec x, PetscCtx ctx)
5608: {
5609: SNES snes = (SNES)ctx;
5610: SNESKSPEW *kctx = (SNESKSPEW *)snes->kspconvctx;
5611: PCSide pcside;
5612: Vec lres;
5614: PetscFunctionBegin;
5615: if (!snes->ksp_ewconv) PetscFunctionReturn(PETSC_SUCCESS);
5616: PetscCall(KSPGetTolerances(ksp, &kctx->rtol_last, NULL, NULL, NULL));
5617: kctx->norm_last = snes->norm;
5618: if (kctx->version == 1 || kctx->version == 4) {
5619: PC pc;
5620: PetscBool getRes;
5622: PetscCall(KSPGetPC(ksp, &pc));
5623: PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCNONE, &getRes));
5624: if (!getRes) {
5625: KSPNormType normtype;
5627: PetscCall(KSPGetNormType(ksp, &normtype));
5628: getRes = (PetscBool)(normtype == KSP_NORM_UNPRECONDITIONED);
5629: }
5630: PetscCall(KSPGetPCSide(ksp, &pcside));
5631: if (pcside == PC_RIGHT || getRes) { /* KSP residual is true linear residual */
5632: PetscCall(KSPGetResidualNorm(ksp, &kctx->lresid_last));
5633: } else {
5634: /* KSP residual is preconditioned residual */
5635: /* compute true linear residual norm */
5636: Mat J;
5637: PetscCall(KSPGetOperators(ksp, &J, NULL));
5638: PetscCall(VecDuplicate(b, &lres));
5639: PetscCall(MatMult(J, x, lres));
5640: PetscCall(VecAYPX(lres, -1.0, b));
5641: PetscCall(VecNorm(lres, NORM_2, &kctx->lresid_last));
5642: PetscCall(VecDestroy(&lres));
5643: }
5644: }
5645: PetscFunctionReturn(PETSC_SUCCESS);
5646: }
5648: /*@
5649: SNESGetKSP - Returns the `KSP` context for a `SNES` solver.
5651: Not Collective, but if `snes` is parallel, then `ksp` is parallel
5653: Input Parameter:
5654: . snes - the `SNES` context
5656: Output Parameter:
5657: . ksp - the `KSP` context
5659: Level: beginner
5661: Notes:
5662: The user can then directly manipulate the `KSP` context to set various
5663: options, etc. Likewise, the user can then extract and manipulate the
5664: `PC` contexts as well.
5666: Some `SNESType`s do not use a `KSP` but a `KSP` is still returned by this function, changes to that `KSP` will have no effect.
5668: .seealso: [](ch_snes), `SNES`, `KSP`, `PC`, `KSPGetPC()`, `SNESCreate()`, `KSPCreate()`, `SNESSetKSP()`
5669: @*/
5670: PetscErrorCode SNESGetKSP(SNES snes, KSP *ksp)
5671: {
5672: PetscFunctionBegin;
5674: PetscAssertPointer(ksp, 2);
5676: if (!snes->ksp) {
5677: PetscCall(KSPCreate(PetscObjectComm((PetscObject)snes), &snes->ksp));
5678: PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->ksp, (PetscObject)snes, 1));
5680: PetscCall(KSPSetPreSolve(snes->ksp, KSPPreSolve_SNESEW, snes));
5681: PetscCall(KSPSetPostSolve(snes->ksp, KSPPostSolve_SNESEW, snes));
5683: PetscCall(KSPMonitorSetFromOptions(snes->ksp, "-snes_monitor_ksp", "snes_preconditioned_residual", snes));
5684: PetscCall(PetscObjectSetOptions((PetscObject)snes->ksp, ((PetscObject)snes)->options));
5685: }
5686: *ksp = snes->ksp;
5687: PetscFunctionReturn(PETSC_SUCCESS);
5688: }
5690: #include <petsc/private/dmimpl.h>
5691: /*@
5692: SNESSetDM - Sets the `DM` that may be used by some `SNES` nonlinear solvers or their underlying preconditioners
5694: Logically Collective
5696: Input Parameters:
5697: + snes - the nonlinear solver context
5698: - dm - the `DM`, cannot be `NULL`
5700: Level: intermediate
5702: Note:
5703: A `DM` can only be used for solving one problem at a time because information about the problem is stored on the `DM`,
5704: even when not using interfaces like `DMSNESSetFunction()`. Use `DMClone()` to get a distinct `DM` when solving different
5705: problems using the same function space.
5707: .seealso: [](ch_snes), `DM`, `SNES`, `SNESGetDM()`, `KSPSetDM()`, `KSPGetDM()`
5708: @*/
5709: PetscErrorCode SNESSetDM(SNES snes, DM dm)
5710: {
5711: KSP ksp;
5712: DMSNES sdm;
5714: PetscFunctionBegin;
5717: PetscCall(PetscObjectReference((PetscObject)dm));
5718: if (snes->dm) { /* Move the DMSNES context over to the new DM unless the new DM already has one */
5719: if (snes->dm->dmsnes && !dm->dmsnes) {
5720: PetscCall(DMCopyDMSNES(snes->dm, dm));
5721: PetscCall(DMGetDMSNES(snes->dm, &sdm));
5722: if (sdm->originaldm == snes->dm) sdm->originaldm = dm; /* Grant write privileges to the replacement DM */
5723: }
5724: PetscCall(DMCoarsenHookRemove(snes->dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, snes));
5725: PetscCall(DMDestroy(&snes->dm));
5726: }
5727: snes->dm = dm;
5728: snes->dmAuto = PETSC_FALSE;
5730: PetscCall(SNESGetKSP(snes, &ksp));
5731: PetscCall(KSPSetDM(ksp, dm));
5732: PetscCall(KSPSetDMActive(ksp, KSP_DMACTIVE_ALL, PETSC_FALSE));
5733: if (snes->npc) {
5734: PetscCall(SNESSetDM(snes->npc, snes->dm));
5735: PetscCall(SNESSetNPCSide(snes, snes->npcside));
5736: }
5737: PetscFunctionReturn(PETSC_SUCCESS);
5738: }
5740: /*@
5741: SNESGetDM - Gets the `DM` that may be used by some `SNES` nonlinear solvers/preconditioners
5743: Not Collective but `dm` obtained is parallel on `snes`
5745: Input Parameter:
5746: . snes - the `SNES` context
5748: Output Parameter:
5749: . dm - the `DM`
5751: Level: intermediate
5753: .seealso: [](ch_snes), `DM`, `SNES`, `SNESSetDM()`, `KSPSetDM()`, `KSPGetDM()`
5754: @*/
5755: PetscErrorCode SNESGetDM(SNES snes, DM *dm)
5756: {
5757: PetscFunctionBegin;
5759: if (!snes->dm) {
5760: PetscCall(DMShellCreate(PetscObjectComm((PetscObject)snes), &snes->dm));
5761: snes->dmAuto = PETSC_TRUE;
5762: }
5763: *dm = snes->dm;
5764: PetscFunctionReturn(PETSC_SUCCESS);
5765: }
5767: /*@
5768: SNESSetNPC - Sets the nonlinear preconditioner to be used.
5770: Collective
5772: Input Parameters:
5773: + snes - iterative context obtained from `SNESCreate()`
5774: - npc - the `SNES` nonlinear preconditioner object
5776: Options Database Key:
5777: . -npc_snes_type type - set the type of the `SNES` to use as the nonlinear preconditioner
5779: Level: developer
5781: Notes:
5782: This is rarely used, rather use `SNESGetNPC()` to retrieve the preconditioner and configure it using the API.
5784: Only some `SNESType` can use a nonlinear preconditioner
5786: .seealso: [](ch_snes), `SNES`, `SNESNGS`, `SNESFAS`, `SNESGetNPC()`, `SNESHasNPC()`
5787: @*/
5788: PetscErrorCode SNESSetNPC(SNES snes, SNES npc)
5789: {
5790: PetscFunctionBegin;
5793: PetscCheckSameComm(snes, 1, npc, 2);
5794: PetscCall(PetscObjectReference((PetscObject)npc));
5795: PetscCall(SNESDestroy(&snes->npc));
5796: snes->npc = npc;
5797: PetscFunctionReturn(PETSC_SUCCESS);
5798: }
5800: /*@
5801: SNESGetNPC - Gets a nonlinear preconditioning solver SNES` to be used to precondition the original nonlinear solver.
5803: Not Collective; but any changes to the obtained the `pc` object must be applied collectively
5805: Input Parameter:
5806: . snes - iterative context obtained from `SNESCreate()`
5808: Output Parameter:
5809: . pc - the `SNES` preconditioner context
5811: Options Database Key:
5812: . -npc_snes_type type - set the type of the `SNES` to use as the nonlinear preconditioner
5814: Level: advanced
5816: Notes:
5817: If a `SNES` was previously set with `SNESSetNPC()` then that value is returned, otherwise a new `SNES` object is created that will
5818: be used as the nonlinear preconditioner for the current `SNES`.
5820: The (preconditioner) `SNES` returned automatically inherits the same nonlinear function and Jacobian supplied to the original
5821: `SNES`. These may be overwritten if needed.
5823: Use the options database prefixes `-npc_snes`, `-npc_ksp`, etc., to control the configuration of the nonlinear preconditioner
5825: .seealso: [](ch_snes), `SNESSetNPC()`, `SNESHasNPC()`, `SNES`, `SNESCreate()`
5826: @*/
5827: PetscErrorCode SNESGetNPC(SNES snes, SNES *pc)
5828: {
5829: const char *optionsprefix;
5831: PetscFunctionBegin;
5833: PetscAssertPointer(pc, 2);
5834: if (!snes->npc) {
5835: PetscCtx ctx;
5837: PetscCall(SNESCreate(PetscObjectComm((PetscObject)snes), &snes->npc));
5838: PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->npc, (PetscObject)snes, 1));
5839: PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
5840: PetscCall(SNESSetOptionsPrefix(snes->npc, optionsprefix));
5841: PetscCall(SNESAppendOptionsPrefix(snes->npc, "npc_"));
5842: if (snes->ops->ctxcompute) {
5843: PetscCall(SNESSetComputeApplicationContext(snes, snes->ops->ctxcompute, snes->ops->ctxdestroy));
5844: } else {
5845: PetscCall(SNESGetApplicationContext(snes, &ctx));
5846: PetscCall(SNESSetApplicationContext(snes->npc, ctx));
5847: }
5848: PetscCall(SNESSetCountersReset(snes->npc, PETSC_FALSE));
5849: }
5850: *pc = snes->npc;
5851: PetscFunctionReturn(PETSC_SUCCESS);
5852: }
5854: /*@
5855: SNESHasNPC - Returns whether a nonlinear preconditioner is associated with the given `SNES`
5857: Not Collective
5859: Input Parameter:
5860: . snes - iterative context obtained from `SNESCreate()`
5862: Output Parameter:
5863: . has_npc - whether the `SNES` has a nonlinear preconditioner or not
5865: Level: developer
5867: .seealso: [](ch_snes), `SNESSetNPC()`, `SNESGetNPC()`
5868: @*/
5869: PetscErrorCode SNESHasNPC(SNES snes, PetscBool *has_npc)
5870: {
5871: PetscFunctionBegin;
5873: PetscAssertPointer(has_npc, 2);
5874: *has_npc = snes->npc ? PETSC_TRUE : PETSC_FALSE;
5875: PetscFunctionReturn(PETSC_SUCCESS);
5876: }
5878: /*@
5879: SNESSetNPCSide - Sets the nonlinear preconditioning side used by the nonlinear preconditioner inside `SNES`.
5881: Logically Collective
5883: Input Parameter:
5884: . snes - iterative context obtained from `SNESCreate()`
5886: Output Parameter:
5887: . side - the preconditioning side, where side is one of
5888: .vb
5889: PC_LEFT - left preconditioning
5890: PC_RIGHT - right preconditioning (default for most nonlinear solvers)
5891: .ve
5893: Options Database Key:
5894: . -snes_npc_side (right|left) - nonlinear preconditioner side
5896: Level: intermediate
5898: Note:
5899: `SNESNRICHARDSON` and `SNESNCG` only support left preconditioning.
5901: .seealso: [](ch_snes), `SNES`, `SNESGetNPC()`, `SNESNRICHARDSON`, `SNESNCG`, `SNESType`, `SNESGetNPCSide()`, `KSPSetPCSide()`, `PC_LEFT`, `PC_RIGHT`, `PCSide`
5902: @*/
5903: PetscErrorCode SNESSetNPCSide(SNES snes, PCSide side)
5904: {
5905: PetscFunctionBegin;
5908: if (side == PC_SIDE_DEFAULT) side = PC_RIGHT;
5909: PetscCheck((side == PC_LEFT) || (side == PC_RIGHT), PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONG, "Only PC_LEFT and PC_RIGHT are supported");
5910: snes->npcside = side;
5911: PetscFunctionReturn(PETSC_SUCCESS);
5912: }
5914: /*@
5915: SNESGetNPCSide - Gets the preconditioning side used by the nonlinear preconditioner inside `SNES`.
5917: Not Collective
5919: Input Parameter:
5920: . snes - iterative context obtained from `SNESCreate()`
5922: Output Parameter:
5923: . side - the preconditioning side, where side is one of
5924: .vb
5925: `PC_LEFT` - left preconditioning
5926: `PC_RIGHT` - right preconditioning (default for most nonlinear solvers)
5927: .ve
5929: Level: intermediate
5931: .seealso: [](ch_snes), `SNES`, `SNESGetNPC()`, `SNESSetNPCSide()`, `KSPGetPCSide()`, `PC_LEFT`, `PC_RIGHT`, `PCSide`
5932: @*/
5933: PetscErrorCode SNESGetNPCSide(SNES snes, PCSide *side)
5934: {
5935: PetscFunctionBegin;
5937: PetscAssertPointer(side, 2);
5938: *side = snes->npcside;
5939: PetscFunctionReturn(PETSC_SUCCESS);
5940: }
5942: /*@
5943: SNESSetLineSearch - Sets the `SNESLineSearch` to be used for a given `SNES`
5945: Collective
5947: Input Parameters:
5948: + snes - iterative context obtained from `SNESCreate()`
5949: - linesearch - the linesearch object
5951: Level: developer
5953: Note:
5954: This is almost never used, rather one uses `SNESGetLineSearch()` to retrieve the line search and set options on it
5955: to configure it using the API).
5957: .seealso: [](ch_snes), `SNES`, `SNESLineSearch`, `SNESGetLineSearch()`
5958: @*/
5959: PetscErrorCode SNESSetLineSearch(SNES snes, SNESLineSearch linesearch)
5960: {
5961: PetscFunctionBegin;
5964: PetscCheckSameComm(snes, 1, linesearch, 2);
5965: PetscCall(PetscObjectReference((PetscObject)linesearch));
5966: PetscCall(SNESLineSearchDestroy(&snes->linesearch));
5968: snes->linesearch = linesearch;
5969: PetscFunctionReturn(PETSC_SUCCESS);
5970: }