xref: /petsc/src/snes/impls/richardson/snesrichardson.c (revision cc85fe4ded5189db5e5e073ce90ef04de0003fdb)
1 #include <../src/snes/impls/richardson/snesrichardsonimpl.h>
2 
3 
4 #undef __FUNCT__
5 #define __FUNCT__ "SNESReset_NRichardson"
6 PetscErrorCode SNESReset_NRichardson(SNES snes)
7 {
8   PetscFunctionBegin;
9   PetscFunctionReturn(0);
10 }
11 
12 /*
13   SNESDestroy_NRichardson - Destroys the private SNES_NRichardson context that was created with SNESCreate_NRichardson().
14 
15   Input Parameter:
16 . snes - the SNES context
17 
18   Application Interface Routine: SNESDestroy()
19 */
20 #undef __FUNCT__
21 #define __FUNCT__ "SNESDestroy_NRichardson"
22 PetscErrorCode SNESDestroy_NRichardson(SNES snes)
23 {
24   PetscErrorCode ierr;
25 
26   PetscFunctionBegin;
27   ierr = SNESReset_NRichardson(snes);CHKERRQ(ierr);
28   ierr = PetscFree(snes->data);CHKERRQ(ierr);
29   PetscFunctionReturn(0);
30 }
31 
32 /*
33    SNESSetUp_NRichardson - Sets up the internal data structures for the later use
34    of the SNESNRICHARDSON nonlinear solver.
35 
36    Input Parameters:
37 +  snes - the SNES context
38 -  x - the solution vector
39 
40    Application Interface Routine: SNESSetUp()
41  */
42 #undef __FUNCT__
43 #define __FUNCT__ "SNESSetUp_NRichardson"
44 PetscErrorCode SNESSetUp_NRichardson(SNES snes)
45 {
46   PetscFunctionBegin;
47   if (snes->pcside == PC_RIGHT) {SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"NRichardson only supports left preconditioning");}
48   if (snes->functype == SNES_FUNCTION_DEFAULT) snes->functype = SNES_FUNCTION_UNPRECONDITIONED;
49   PetscFunctionReturn(0);
50 }
51 
52 /*
53   SNESSetFromOptions_NRichardson - Sets various parameters for the SNESNEWTONLS method.
54 
55   Input Parameter:
56 . snes - the SNES context
57 
58   Application Interface Routine: SNESSetFromOptions()
59 */
60 #undef __FUNCT__
61 #define __FUNCT__ "SNESSetFromOptions_NRichardson"
62 static PetscErrorCode SNESSetFromOptions_NRichardson(SNES snes)
63 {
64   PetscErrorCode ierr;
65   SNESLineSearch linesearch;
66 
67   PetscFunctionBegin;
68   ierr = PetscOptionsHead("SNES Richardson options");CHKERRQ(ierr);
69   ierr = PetscOptionsTail();CHKERRQ(ierr);
70   if (!snes->linesearch) {
71     ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr);
72     ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHL2);CHKERRQ(ierr);
73   }
74   PetscFunctionReturn(0);
75 }
76 
77 /*
78   SNESView_NRichardson - Prints info from the SNESRichardson data structure.
79 
80   Input Parameters:
81 + SNES - the SNES context
82 - viewer - visualization context
83 
84   Application Interface Routine: SNESView()
85 */
86 #undef __FUNCT__
87 #define __FUNCT__ "SNESView_NRichardson"
88 static PetscErrorCode SNESView_NRichardson(SNES snes, PetscViewer viewer)
89 {
90   PetscBool      iascii;
91   PetscErrorCode ierr;
92 
93   PetscFunctionBegin;
94   ierr = PetscObjectTypeCompare((PetscObject) viewer, PETSCVIEWERASCII, &iascii);CHKERRQ(ierr);
95   if (iascii) {
96   }
97   PetscFunctionReturn(0);
98 }
99 
100 /*
101   SNESSolve_NRichardson - Solves a nonlinear system with the Richardson method.
102 
103   Input Parameters:
104 . snes - the SNES context
105 
106   Output Parameter:
107 . outits - number of iterations until termination
108 
109   Application Interface Routine: SNESSolve()
110 */
111 #undef __FUNCT__
112 #define __FUNCT__ "SNESSolve_NRichardson"
113 PetscErrorCode SNESSolve_NRichardson(SNES snes)
114 {
115   Vec                 X, Y, F;
116   PetscReal           xnorm, fnorm, ynorm;
117   PetscInt            maxits, i;
118   PetscErrorCode      ierr;
119   PetscBool           lsSuccess;
120   SNESConvergedReason reason;
121 
122   PetscFunctionBegin;
123   snes->reason = SNES_CONVERGED_ITERATING;
124 
125   maxits = snes->max_its;        /* maximum number of iterations */
126   X      = snes->vec_sol;        /* X^n */
127   Y      = snes->vec_sol_update; /* \tilde X */
128   F      = snes->vec_func;       /* residual vector */
129 
130   ierr       = PetscObjectSAWsTakeAccess((PetscObject)snes);CHKERRQ(ierr);
131   snes->iter = 0;
132   snes->norm = 0.;
133   ierr       = PetscObjectSAWsGrantAccess((PetscObject)snes);CHKERRQ(ierr);
134 
135   if (snes->pc && snes->functype == SNES_FUNCTION_PRECONDITIONED) {
136     ierr = SNESApplyPC(snes,X,NULL,NULL,F);CHKERRQ(ierr);
137     ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr);
138     if (reason < 0  && reason != SNES_DIVERGED_MAX_IT) {
139       snes->reason = SNES_DIVERGED_INNER;
140       PetscFunctionReturn(0);
141     }
142     ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr);
143   } else {
144     if (!snes->vec_func_init_set) {
145       ierr = SNESComputeFunction(snes,X,F);CHKERRQ(ierr);
146       if (snes->domainerror) {
147         snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN;
148         PetscFunctionReturn(0);
149       }
150     } else snes->vec_func_init_set = PETSC_FALSE;
151 
152     ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr);
153     if (PetscIsInfOrNanReal(fnorm)) {
154       snes->reason = SNES_DIVERGED_FNORM_NAN;
155       PetscFunctionReturn(0);
156     }
157   }
158   if (snes->pc && snes->functype == SNES_FUNCTION_UNPRECONDITIONED) {
159       ierr = SNESApplyPC(snes,X,F,&fnorm,Y);CHKERRQ(ierr);
160       ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr);
161       if (reason < 0  && reason != SNES_DIVERGED_MAX_IT) {
162         snes->reason = SNES_DIVERGED_INNER;
163         PetscFunctionReturn(0);
164       }
165   } else {
166     ierr = VecCopy(F,Y);CHKERRQ(ierr);
167   }
168 
169   ierr       = PetscObjectSAWsTakeAccess((PetscObject)snes);CHKERRQ(ierr);
170   snes->norm = fnorm;
171   ierr       = PetscObjectSAWsGrantAccess((PetscObject)snes);CHKERRQ(ierr);
172   ierr       = SNESLogConvergenceHistory(snes,fnorm,0);CHKERRQ(ierr);
173   ierr       = SNESMonitor(snes,0,fnorm);CHKERRQ(ierr);
174 
175   /* set parameter for default relative tolerance convergence test */
176   snes->ttol = fnorm*snes->rtol;
177   /* test convergence */
178   ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
179   if (snes->reason) PetscFunctionReturn(0);
180 
181   /* Call general purpose update function */
182   if (snes->ops->update) {
183     ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr);
184   }
185 
186   /* set parameter for default relative tolerance convergence test */
187   snes->ttol = fnorm*snes->rtol;
188   /* test convergence */
189   ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
190   if (snes->reason) PetscFunctionReturn(0);
191 
192   for (i = 1; i < maxits+1; i++) {
193     lsSuccess = PETSC_TRUE;
194 
195     ierr = SNESLineSearchApply(snes->linesearch, X, F, &fnorm, Y);CHKERRQ(ierr);
196     ierr = SNESLineSearchGetNorms(snes->linesearch, &xnorm, &fnorm, &ynorm);CHKERRQ(ierr);
197     ierr = SNESLineSearchGetSuccess(snes->linesearch, &lsSuccess);CHKERRQ(ierr);
198     if (!lsSuccess) {
199       if (++snes->numFailures >= snes->maxFailures) {
200         snes->reason = SNES_DIVERGED_LINE_SEARCH;
201         break;
202       }
203     }
204     if (snes->nfuncs >= snes->max_funcs) {
205       snes->reason = SNES_DIVERGED_FUNCTION_COUNT;
206       break;
207     }
208     if (snes->domainerror) {
209       snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN;
210       PetscFunctionReturn(0);
211     }
212 
213     /* Monitor convergence */
214     ierr       = PetscObjectSAWsTakeAccess((PetscObject)snes);CHKERRQ(ierr);
215     snes->iter = i;
216     snes->norm = fnorm;
217     ierr       = PetscObjectSAWsGrantAccess((PetscObject)snes);CHKERRQ(ierr);
218     ierr       = SNESLogConvergenceHistory(snes,snes->norm,0);CHKERRQ(ierr);
219     ierr       = SNESMonitor(snes,snes->iter,snes->norm);CHKERRQ(ierr);
220     /* Test for convergence */
221     ierr = (*snes->ops->converged)(snes,snes->iter,xnorm,ynorm,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
222     if (snes->reason) break;
223 
224     /* Call general purpose update function */
225     if (snes->ops->update) {
226       ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr);
227     }
228 
229     if (snes->pc) {
230       if (snes->functype == SNES_FUNCTION_PRECONDITIONED) {
231         ierr = SNESApplyPC(snes,X,NULL,NULL,Y);CHKERRQ(ierr);
232         ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr);
233         ierr = VecCopy(Y,F);CHKERRQ(ierr);
234       } else {
235         ierr = SNESApplyPC(snes,X,F,&fnorm,Y);CHKERRQ(ierr);
236       }
237       ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr);
238       if (reason < 0  && reason != SNES_DIVERGED_MAX_IT) {
239         snes->reason = SNES_DIVERGED_INNER;
240         PetscFunctionReturn(0);
241       }
242     } else {
243       ierr = VecCopy(F,Y);CHKERRQ(ierr);
244     }
245   }
246   if (i == maxits+1) {
247     ierr = PetscInfo1(snes, "Maximum number of iterations has been reached: %D\n", maxits);CHKERRQ(ierr);
248     if (!snes->reason) snes->reason = SNES_DIVERGED_MAX_IT;
249   }
250   PetscFunctionReturn(0);
251 }
252 
253 /*MC
254   SNESNRICHARDSON - Richardson nonlinear solver that uses successive substitutions, also sometimes known as Picard iteration.
255 
256   Level: beginner
257 
258   Options Database:
259 +   -snes_linesearch_type <l2,cp,basic> Line search type.
260 -   -snes_linesearch_damping<1.0> Damping for the line search.
261 
262   Notes: If no inner nonlinear preconditioner is provided then solves F(x) - b = 0 using x^{n+1} = x^{n} - lambda
263             (F(x^n) - b) where lambda is obtained either SNESLineSearchSetDamping(), -snes_damping or a line search.  If
264             an inner nonlinear preconditioner is provided (either with -npc_snes_type or SNESSetPC()) then the inner
265             solver is called an initial solution x^n and the nonlinear Richardson uses x^{n+1} = x^{n} + lambda d^{n}
266             where d^{n} = \hat{x}^{n} - x^{n} where \hat{x}^{n} is the solution returned from the inner solver.
267 
268             The update, especially without inner nonlinear preconditioner, may be ill-scaled.  If using the basic
269             linesearch, one may have to scale the update with -snes_linesearch_damping
270 
271      This uses no derivative information thus will be much slower then Newton's method obtained with -snes_type ls
272 
273 .seealso:  SNESCreate(), SNES, SNESSetType(), SNESNEWTONLS, SNESNEWTONTR, SNESNGMRES, SNESQN, SNESNCG
274 M*/
275 #undef __FUNCT__
276 #define __FUNCT__ "SNESCreate_NRichardson"
277 PETSC_EXTERN PetscErrorCode SNESCreate_NRichardson(SNES snes)
278 {
279   PetscErrorCode   ierr;
280   SNES_NRichardson *neP;
281 
282   PetscFunctionBegin;
283   snes->ops->destroy        = SNESDestroy_NRichardson;
284   snes->ops->setup          = SNESSetUp_NRichardson;
285   snes->ops->setfromoptions = SNESSetFromOptions_NRichardson;
286   snes->ops->view           = SNESView_NRichardson;
287   snes->ops->solve          = SNESSolve_NRichardson;
288   snes->ops->reset          = SNESReset_NRichardson;
289 
290   snes->usesksp = PETSC_FALSE;
291   snes->usespc  = PETSC_TRUE;
292 
293   snes->pcside = PC_LEFT;
294 
295   ierr       = PetscNewLog(snes, SNES_NRichardson, &neP);CHKERRQ(ierr);
296   snes->data = (void*) neP;
297 
298   if (!snes->tolerancesset) {
299     snes->max_funcs = 30000;
300     snes->max_its   = 10000;
301     snes->stol      = 1e-20;
302   }
303   PetscFunctionReturn(0);
304 }
305