xref: /petsc/src/snes/impls/ls/ls.c (revision 7a5338279d92d13360d231b9bd26d284f35eaa49)
1 #include <../src/snes/impls/ls/lsimpl.h>
2 
3 /*
4      This file implements a truncated Newton method with a line search,
5      for solving a system of nonlinear equations, using the KSP, Vec,
6      and Mat interfaces for linear solvers, vectors, and matrices,
7      respectively.
8 
9      The following basic routines are required for each nonlinear solver:
10           SNESCreate_XXX()          - Creates a nonlinear solver context
11           SNESSetFromOptions_XXX()  - Sets runtime options
12           SNESSolve_XXX()           - Solves the nonlinear system
13           SNESDestroy_XXX()         - Destroys the nonlinear solver context
14      The suffix "_XXX" denotes a particular implementation, in this case
15      we use _NEWTONLS (e.g., SNESCreate_NEWTONLS, SNESSolve_NEWTONLS) for solving
16      systems of nonlinear equations with a line search (LS) method.
17      These routines are actually called via the common user interface
18      routines SNESCreate(), SNESSetFromOptions(), SNESSolve(), and
19      SNESDestroy(), so the application code interface remains identical
20      for all nonlinear solvers.
21 
22      Another key routine is:
23           SNESSetUp_XXX()           - Prepares for the use of a nonlinear solver
24      by setting data structures and options.   The interface routine SNESSetUp()
25      is not usually called directly by the user, but instead is called by
26      SNESSolve() if necessary.
27 
28      Additional basic routines are:
29           SNESView_XXX()            - Prints details of runtime options that
30                                       have actually been used.
31      These are called by application codes via the interface routines
32      SNESView().
33 
34      The various types of solvers (preconditioners, Krylov subspace methods,
35      nonlinear solvers, timesteppers) are all organized similarly, so the
36      above description applies to these categories also.
37 
38 */
39 
40 /*
41      Checks if J^T F = 0 which implies we've found a local minimum of the norm of the function,
42     || F(u) ||_2 but not a zero, F(u) = 0. In the case when one cannot compute J^T F we use the fact that
43     0 = (J^T F)^T W = F^T J W iff W not in the null space of J. Thanks for Jorge More
44     for this trick. One assumes that the probability that W is in the null space of J is very, very small.
45 */
46 static PetscErrorCode SNESNEWTONLSCheckLocalMin_Private(SNES snes, Mat A, Vec F, PetscReal fnorm, PetscBool *ismin)
47 {
48   PetscReal        a1;
49   PetscBool        hastranspose;
50   Vec              W;
51   SNESObjectiveFn *objective;
52 
53   PetscFunctionBegin;
54   *ismin = PETSC_FALSE;
55   PetscCall(SNESGetObjective(snes, &objective, NULL));
56   if (!objective) {
57     PetscCall(MatHasOperation(A, MATOP_MULT_TRANSPOSE, &hastranspose));
58     PetscCall(VecDuplicate(F, &W));
59     if (hastranspose) {
60       /* Compute || J^T F|| */
61       PetscCall(MatMultTranspose(A, F, W));
62       PetscCall(VecNorm(W, NORM_2, &a1));
63       PetscCall(PetscInfo(snes, "|| J^T F|| %14.12e near zero implies found a local minimum\n", (double)(a1 / fnorm)));
64       if (a1 / fnorm < 1.e-4) *ismin = PETSC_TRUE;
65     } else {
66       Vec         work;
67       PetscScalar result;
68       PetscReal   wnorm;
69 
70       PetscCall(VecSetRandom(W, NULL));
71       PetscCall(VecNorm(W, NORM_2, &wnorm));
72       PetscCall(VecDuplicate(W, &work));
73       PetscCall(MatMult(A, W, work));
74       PetscCall(VecDot(F, work, &result));
75       PetscCall(VecDestroy(&work));
76       a1 = PetscAbsScalar(result) / (fnorm * wnorm);
77       PetscCall(PetscInfo(snes, "(F^T J random)/(|| F ||*||random|| %14.12e near zero implies found a local minimum\n", (double)a1));
78       if (a1 < 1.e-4) *ismin = PETSC_TRUE;
79     }
80     PetscCall(VecDestroy(&W));
81   }
82   PetscFunctionReturn(PETSC_SUCCESS);
83 }
84 
85 /*
86      Checks if J^T(F - J*X) = 0
87 */
88 static PetscErrorCode SNESNEWTONLSCheckResidual_Private(SNES snes, Mat A, Vec F, Vec X)
89 {
90   PetscReal        a1, a2;
91   PetscBool        hastranspose;
92   SNESObjectiveFn *objective;
93 
94   PetscFunctionBegin;
95   PetscCall(MatHasOperation(A, MATOP_MULT_TRANSPOSE, &hastranspose));
96   PetscCall(SNESGetObjective(snes, &objective, NULL));
97   if (hastranspose && !objective) {
98     Vec W1, W2;
99 
100     PetscCall(VecDuplicate(F, &W1));
101     PetscCall(VecDuplicate(F, &W2));
102     PetscCall(MatMult(A, X, W1));
103     PetscCall(VecAXPY(W1, -1.0, F));
104 
105     /* Compute || J^T W|| */
106     PetscCall(MatMultTranspose(A, W1, W2));
107     PetscCall(VecNorm(W1, NORM_2, &a1));
108     PetscCall(VecNorm(W2, NORM_2, &a2));
109     if (a1 != 0.0) PetscCall(PetscInfo(snes, "||J^T(F-Ax)||/||F-AX|| %14.12e near zero implies inconsistent rhs\n", (double)(a2 / a1)));
110     PetscCall(VecDestroy(&W1));
111     PetscCall(VecDestroy(&W2));
112   }
113   PetscFunctionReturn(PETSC_SUCCESS);
114 }
115 
116 // PetscClangLinter pragma disable: -fdoc-sowing-chars
117 /*
118   SNESSolve_NEWTONLS - Solves a nonlinear system with a truncated Newton
119   method with a line search.
120 
121   Input Parameter:
122 . snes - the SNES context
123 
124 */
125 static PetscErrorCode SNESSolve_NEWTONLS(SNES snes)
126 {
127   PetscInt             maxits, i, lits;
128   SNESLineSearchReason lssucceed;
129   PetscReal            fnorm, xnorm, ynorm;
130   Vec                  Y, X, F;
131   SNESLineSearch       linesearch;
132   SNESConvergedReason  reason;
133   PC                   pc;
134 #if defined(PETSC_USE_INFO)
135   PetscReal gnorm;
136 #endif
137 
138   PetscFunctionBegin;
139   PetscCheck(!snes->xl && !snes->xu && !snes->ops->computevariablebounds, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONGSTATE, "SNES solver %s does not support bounds", ((PetscObject)snes)->type_name);
140 
141   snes->numFailures            = 0;
142   snes->numLinearSolveFailures = 0;
143   snes->reason                 = SNES_CONVERGED_ITERATING;
144 
145   maxits = snes->max_its;        /* maximum number of iterations */
146   X      = snes->vec_sol;        /* solution vector */
147   F      = snes->vec_func;       /* residual vector */
148   Y      = snes->vec_sol_update; /* newton step */
149 
150   PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes));
151   snes->iter = 0;
152   snes->norm = 0.0;
153   PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes));
154   PetscCall(SNESGetLineSearch(snes, &linesearch));
155 
156   /* compute the preconditioned function first in the case of left preconditioning with preconditioned function */
157   if (snes->npc && snes->npcside == PC_LEFT && snes->functype == SNES_FUNCTION_PRECONDITIONED) {
158     PetscCall(SNESApplyNPC(snes, X, NULL, F));
159     PetscCall(SNESGetConvergedReason(snes->npc, &reason));
160     if (reason < 0 && reason != SNES_DIVERGED_MAX_IT && reason != SNES_DIVERGED_TR_DELTA) {
161       PetscCall(SNESSetConvergedReason(snes, SNES_DIVERGED_INNER));
162       PetscFunctionReturn(PETSC_SUCCESS);
163     }
164 
165     PetscCall(VecNormBegin(F, NORM_2, &fnorm));
166     PetscCall(VecNormEnd(F, NORM_2, &fnorm));
167   } else {
168     if (!snes->vec_func_init_set) {
169       PetscCall(SNESComputeFunction(snes, X, F));
170     } else snes->vec_func_init_set = PETSC_FALSE;
171   }
172 
173   PetscCall(VecNorm(F, NORM_2, &fnorm)); /* fnorm <- ||F||  */
174   SNESCheckFunctionNorm(snes, fnorm);
175   PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes));
176   snes->norm = fnorm;
177   PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes));
178   PetscCall(SNESLogConvergenceHistory(snes, fnorm, 0));
179 
180   /* test convergence */
181   PetscCall(SNESConverged(snes, 0, 0.0, 0.0, fnorm));
182   PetscCall(SNESMonitor(snes, 0, fnorm));
183   if (snes->reason) PetscFunctionReturn(PETSC_SUCCESS);
184 
185   /* hook state vector to BFGS preconditioner */
186   PetscCall(KSPGetPC(snes->ksp, &pc));
187   PetscCall(PCLMVMSetUpdateVec(pc, X));
188 
189   for (i = 0; i < maxits; i++) {
190     /* Call general purpose update function */
191     PetscTryTypeMethod(snes, update, snes->iter);
192     PetscCall(VecNorm(snes->vec_func, NORM_2, &fnorm)); /* no-op unless update() function changed f() */
193 
194     /* apply the nonlinear preconditioner */
195     if (snes->npc) {
196       if (snes->npcside == PC_RIGHT) {
197         PetscCall(SNESSetInitialFunction(snes->npc, F));
198         PetscCall(PetscLogEventBegin(SNES_NPCSolve, snes->npc, X, snes->vec_rhs, 0));
199         PetscCall(SNESSolve(snes->npc, snes->vec_rhs, X));
200         PetscCall(PetscLogEventEnd(SNES_NPCSolve, snes->npc, X, snes->vec_rhs, 0));
201         PetscCall(SNESGetConvergedReason(snes->npc, &reason));
202         if (reason < 0 && reason != SNES_DIVERGED_MAX_IT && reason != SNES_DIVERGED_TR_DELTA) {
203           PetscCall(SNESSetConvergedReason(snes, SNES_DIVERGED_INNER));
204           PetscFunctionReturn(PETSC_SUCCESS);
205         }
206         PetscCall(SNESGetNPCFunction(snes, F, &fnorm));
207       } else if (snes->npcside == PC_LEFT && snes->functype == SNES_FUNCTION_UNPRECONDITIONED) {
208         PetscCall(SNESApplyNPC(snes, X, F, F));
209         PetscCall(SNESGetConvergedReason(snes->npc, &reason));
210         if (reason < 0 && reason != SNES_DIVERGED_MAX_IT && reason != SNES_DIVERGED_TR_DELTA) {
211           PetscCall(SNESSetConvergedReason(snes, SNES_DIVERGED_INNER));
212           PetscFunctionReturn(PETSC_SUCCESS);
213         }
214       }
215     }
216 
217     /* Solve J Y = F, where J is Jacobian matrix */
218     PetscCall(SNESComputeJacobian(snes, X, snes->jacobian, snes->jacobian_pre));
219     SNESCheckJacobianDomainerror(snes);
220     PetscCall(KSPSetOperators(snes->ksp, snes->jacobian, snes->jacobian_pre));
221     PetscCall(KSPSolve(snes->ksp, F, Y));
222     SNESCheckKSPSolve(snes);
223     PetscCall(KSPGetIterationNumber(snes->ksp, &lits));
224     PetscCall(PetscInfo(snes, "iter=%" PetscInt_FMT ", linear solve iterations=%" PetscInt_FMT "\n", snes->iter, lits));
225 
226     if (PetscLogPrintInfo) PetscCall(SNESNEWTONLSCheckResidual_Private(snes, snes->jacobian, F, Y));
227 
228 #if defined(PETSC_USE_INFO)
229     gnorm = fnorm;
230 #endif
231     /* Compute a (scaled) negative update in the line search routine:
232          X <- X - lambda*Y
233        and evaluate F = function(X) (depends on the line search).
234     */
235     PetscCall(SNESLineSearchApply(linesearch, X, F, &fnorm, Y));
236     PetscCall(SNESLineSearchGetReason(linesearch, &lssucceed));
237     PetscCall(SNESLineSearchGetNorms(linesearch, &xnorm, &fnorm, &ynorm));
238     PetscCall(PetscInfo(snes, "fnorm=%18.16e, gnorm=%18.16e, ynorm=%18.16e, lssucceed=%d\n", (double)gnorm, (double)fnorm, (double)ynorm, (int)lssucceed));
239     if (snes->reason) break;
240     SNESCheckFunctionNorm(snes, fnorm);
241     if (lssucceed) {
242       if (snes->stol * xnorm > ynorm) {
243         snes->reason = SNES_CONVERGED_SNORM_RELATIVE;
244         PetscFunctionReturn(PETSC_SUCCESS);
245       }
246       if (++snes->numFailures >= snes->maxFailures) {
247         PetscBool ismin;
248         snes->reason = SNES_DIVERGED_LINE_SEARCH;
249         PetscCall(SNESNEWTONLSCheckLocalMin_Private(snes, snes->jacobian, F, fnorm, &ismin));
250         if (ismin) snes->reason = SNES_DIVERGED_LOCAL_MIN;
251         if (snes->errorifnotconverged && snes->reason) {
252           PetscViewer monitor;
253           PetscCall(SNESLineSearchGetDefaultMonitor(linesearch, &monitor));
254           PetscCheck(monitor, PetscObjectComm((PetscObject)snes), PETSC_ERR_NOT_CONVERGED, "SNESSolve has not converged due to %s. Suggest running with -snes_linesearch_monitor", SNESConvergedReasons[snes->reason]);
255           SETERRQ(PetscObjectComm((PetscObject)snes), PETSC_ERR_NOT_CONVERGED, "SNESSolve has not converged due %s.", SNESConvergedReasons[snes->reason]);
256         }
257         break;
258       }
259     }
260     /* Monitor convergence */
261     PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes));
262     snes->iter  = i + 1;
263     snes->norm  = fnorm;
264     snes->ynorm = ynorm;
265     snes->xnorm = xnorm;
266     PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes));
267     PetscCall(SNESLogConvergenceHistory(snes, snes->norm, lits));
268     /* Test for convergence */
269     PetscCall(SNESConverged(snes, snes->iter, xnorm, ynorm, fnorm));
270     PetscCall(SNESMonitor(snes, snes->iter, snes->norm));
271     if (snes->reason) break;
272   }
273   PetscFunctionReturn(PETSC_SUCCESS);
274 }
275 
276 /*
277    SNESSetUp_NEWTONLS - Sets up the internal data structures for the later use
278    of the SNESNEWTONLS nonlinear solver.
279 
280    Input Parameter:
281 .  snes - the SNES context
282 .  x - the solution vector
283 
284    Application Interface Routine: SNESSetUp()
285 
286  */
287 static PetscErrorCode SNESSetUp_NEWTONLS(SNES snes)
288 {
289   PetscFunctionBegin;
290   PetscCall(SNESSetUpMatrices(snes));
291   if (snes->npcside == PC_LEFT && snes->functype == SNES_FUNCTION_DEFAULT) snes->functype = SNES_FUNCTION_PRECONDITIONED;
292   PetscFunctionReturn(PETSC_SUCCESS);
293 }
294 
295 /*
296    SNESDestroy_NEWTONLS - Destroys the private SNES_NEWTONLS context that was created
297    with SNESCreate_NEWTONLS().
298 
299    Input Parameter:
300 .  snes - the SNES context
301 
302    Application Interface Routine: SNESDestroy()
303  */
304 static PetscErrorCode SNESDestroy_NEWTONLS(SNES snes)
305 {
306   PetscFunctionBegin;
307   PetscCall(PetscFree(snes->data));
308   PetscFunctionReturn(PETSC_SUCCESS);
309 }
310 
311 /*
312    SNESView_NEWTONLS - Prints info from the SNESNEWTONLS data structure.
313 
314    Input Parameters:
315 .  SNES - the SNES context
316 .  viewer - visualization context
317 
318    Application Interface Routine: SNESView()
319 */
320 static PetscErrorCode SNESView_NEWTONLS(SNES snes, PetscViewer viewer)
321 {
322   PetscBool iascii;
323 
324   PetscFunctionBegin;
325   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
326   if (iascii) { }
327   PetscFunctionReturn(PETSC_SUCCESS);
328 }
329 
330 /*MC
331    SNESNEWTONLS - Newton based nonlinear solver that uses a line search
332 
333    Options Database Keys:
334 +   -snes_linesearch_type <bt>              - basic (or equivalently none), bt, l2, cp, nleqerr, shell.  Select line search type, see `SNESLineSearchSetType()`
335 .   -snes_linesearch_order <3>              - 2, 3. Selects the order of the line search for bt, see `SNESLineSearchSetOrder()`
336 .   -snes_linesearch_norms <true>           - Turns on/off computation of the norms for basic linesearch (`SNESLineSearchSetComputeNorms()`)
337 .   -snes_linesearch_alpha <alpha>          - Sets alpha used in determining if reduction in function norm is sufficient
338 .   -snes_linesearch_maxstep <maxstep>      - Sets the maximum stepsize the line search will use (if the 2-norm(y) > maxstep then scale y to be y = (maxstep/2-norm(y)) *y)
339 .   -snes_linesearch_minlambda <minlambda>  - Sets the minimum lambda the line search will tolerate
340 .   -snes_linesearch_monitor                - print information about the progress of line searches
341 -   -snes_linesearch_damping                - damping factor used for basic line search
342 
343    Level: beginner
344 
345    Note:
346    This is the default nonlinear solver in `SNES`
347 
348 .seealso: [](ch_snes), `SNESCreate()`, `SNES`, `SNESSetType()`, `SNESNEWTONTR`, `SNESQN`, `SNESLineSearchSetType()`, `SNESLineSearchSetOrder()`
349           `SNESLineSearchSetPostCheck()`, `SNESLineSearchSetPreCheck()` `SNESLineSearchSetComputeNorms()`, `SNESGetLineSearch()`, `SNESLineSearchSetType()`
350 M*/
351 PETSC_EXTERN PetscErrorCode SNESCreate_NEWTONLS(SNES snes)
352 {
353   SNES_NEWTONLS *neP;
354   SNESLineSearch linesearch;
355 
356   PetscFunctionBegin;
357   snes->ops->setup   = SNESSetUp_NEWTONLS;
358   snes->ops->solve   = SNESSolve_NEWTONLS;
359   snes->ops->destroy = SNESDestroy_NEWTONLS;
360   snes->ops->view    = SNESView_NEWTONLS;
361 
362   snes->npcside = PC_RIGHT;
363   snes->usesksp = PETSC_TRUE;
364   snes->usesnpc = PETSC_TRUE;
365 
366   PetscCall(SNESGetLineSearch(snes, &linesearch));
367   if (!((PetscObject)linesearch)->type_name) PetscCall(SNESLineSearchSetType(linesearch, SNESLINESEARCHBT));
368 
369   snes->alwayscomputesfinalresidual = PETSC_TRUE;
370 
371   PetscCall(SNESParametersInitialize(snes));
372 
373   PetscCall(PetscNew(&neP));
374   snes->data = (void *)neP;
375   PetscFunctionReturn(PETSC_SUCCESS);
376 }
377