xref: /petsc/src/snes/impls/ncg/snesncg.c (revision f2cb5aaead2cc1d408bf833526b9e4e3175e50e3)
1 #include <../src/snes/impls/ncg/snesncgimpl.h>
2 
3 #undef __FUNCT__
4 #define __FUNCT__ "SNESReset_NCG"
5 PetscErrorCode SNESReset_NCG(SNES snes)
6 {
7   PetscErrorCode ierr;
8 
9   PetscFunctionBegin;
10   if (snes->work) {ierr = VecDestroyVecs(snes->nwork,&snes->work);CHKERRQ(ierr);}
11   PetscFunctionReturn(0);
12 }
13 
14 /*
15   SNESDestroy_NCG - Destroys the private SNES_NCG context that was created with SNESCreate_NCG().
16 
17   Input Parameter:
18 . snes - the SNES context
19 
20   Application Interface Routine: SNESDestroy()
21 */
22 #undef __FUNCT__
23 #define __FUNCT__ "SNESDestroy_NCG"
24 PetscErrorCode SNESDestroy_NCG(SNES snes)
25 {
26   PetscErrorCode   ierr;
27 
28   PetscFunctionBegin;
29   ierr = SNESReset_NCG(snes);CHKERRQ(ierr);
30   ierr = PetscFree(snes->data);CHKERRQ(ierr);
31   PetscFunctionReturn(0);
32 }
33 
34 /*
35    SNESSetUp_NCG - Sets up the internal data structures for the later use
36    of the SNESNCG nonlinear solver.
37 
38    Input Parameters:
39 +  snes - the SNES context
40 -  x - the solution vector
41 
42    Application Interface Routine: SNESSetUp()
43  */
44 #undef __FUNCT__
45 #define __FUNCT__ "SNESSetUp_NCG"
46 PetscErrorCode SNESSetUp_NCG(SNES snes)
47 {
48   PetscErrorCode ierr;
49 
50   PetscFunctionBegin;
51   ierr = SNESDefaultGetWork(snes,4);CHKERRQ(ierr);
52   PetscFunctionReturn(0);
53 }
54 /*
55   SNESSetFromOptions_NCG - Sets various parameters for the SNESLS method.
56 
57   Input Parameter:
58 . snes - the SNES context
59 
60   Application Interface Routine: SNESSetFromOptions()
61 */
62 #undef __FUNCT__
63 #define __FUNCT__ "SNESSetFromOptions_NCG"
64 static PetscErrorCode SNESSetFromOptions_NCG(SNES snes)
65 {
66   SNES_NCG           *ncg     = (SNES_NCG *)snes->data;
67   const char         *betas[] = {"FR","PRP","HS", "DY", "CD"};
68   PetscErrorCode     ierr;
69   PetscBool          debug, flg;
70   PetscInt           indx;
71 
72   PetscFunctionBegin;
73   ierr = PetscOptionsHead("SNES NCG options");CHKERRQ(ierr);
74   ierr = PetscOptionsBool("-snes_ncg_monitor", "Monitor NCG iterations", "SNES", ncg->monitor ? PETSC_TRUE: PETSC_FALSE, &debug, PETSC_NULL);CHKERRQ(ierr);
75   ierr = PetscOptionsEList("-snes_ncg_type","Nonlinear CG update used","", betas, 5, "FR",&indx, &flg);CHKERRQ(ierr);
76   if (flg) {
77     ncg->betatype = indx;
78   }
79   if (debug) {
80     ncg->monitor = PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm);CHKERRQ(ierr);
81   }
82   ierr = PetscOptionsTail();CHKERRQ(ierr);
83   PetscFunctionReturn(0);
84 }
85 
86 /*
87   SNESView_NCG - Prints info from the SNESNCG data structure.
88 
89   Input Parameters:
90 + SNES - the SNES context
91 - viewer - visualization context
92 
93   Application Interface Routine: SNESView()
94 */
95 #undef __FUNCT__
96 #define __FUNCT__ "SNESView_NCG"
97 static PetscErrorCode SNESView_NCG(SNES snes, PetscViewer viewer)
98 {
99   PetscBool        iascii;
100   PetscErrorCode   ierr;
101 
102   PetscFunctionBegin;
103   ierr = PetscTypeCompare((PetscObject) viewer, PETSCVIEWERASCII, &iascii);CHKERRQ(ierr);
104   if (iascii) {
105     ierr = PetscViewerASCIIPrintf(viewer,"  line search type variant: %s\n", SNESLineSearchTypeName(snes->ls_type));CHKERRQ(ierr);
106   }
107   PetscFunctionReturn(0);
108 }
109 
110 #undef __FUNCT__
111 #define __FUNCT__ "SNESLineSearchExactLinear_NCG"
112 PetscErrorCode SNESLineSearchExactLinear_NCG(SNES snes,void *lsctx,Vec X,Vec F,Vec Y,PetscReal fnorm,PetscReal dummyXnorm,Vec G,Vec W,PetscReal *dummyYnorm,PetscReal *gnorm,PetscBool *flag)
113 {
114   PetscScalar      alpha, ptAp;
115   PetscErrorCode   ierr;
116   /* SNES_NCG *ncg =  (SNES_NCG *) snes->data; */
117   MatStructure     flg = DIFFERENT_NONZERO_PATTERN;
118 
119   PetscFunctionBegin;
120   /*
121 
122    The exact step size for unpreconditioned linear CG is just:
123 
124    alpha = (r, r) / (p, Ap) = (f, f) / (y, Jy)
125 
126    */
127 
128   ierr = SNESComputeJacobian(snes, X, &snes->jacobian, &snes->jacobian_pre, &flg);CHKERRQ(ierr);
129   ierr = VecDot(F, F, &alpha);CHKERRQ(ierr);
130   ierr = MatMult(snes->jacobian, Y, W);CHKERRQ(ierr);
131   ierr = VecDot(Y, W, &ptAp);CHKERRQ(ierr);
132   alpha = alpha / ptAp;
133   ierr = PetscPrintf(((PetscObject)snes)->comm, "alpha: %G\n", PetscRealPart(alpha));CHKERRQ(ierr);
134   ierr = VecCopy(X, W);CHKERRQ(ierr);
135   ierr = VecAXPY(W, alpha, Y);CHKERRQ(ierr);
136   ierr = SNESComputeFunction(snes, W, G);CHKERRQ(ierr);
137   ierr = VecNorm(G, NORM_2, gnorm);CHKERRQ(ierr);
138   PetscFunctionReturn(0);
139 }
140 
141 EXTERN_C_BEGIN
142 #undef __FUNCT__
143 #define __FUNCT__ "SNESLineSearchSetType_NCG"
144 PetscErrorCode  SNESLineSearchSetType_NCG(SNES snes, SNESLineSearchType type)
145 {
146   PetscErrorCode ierr;
147   PetscFunctionBegin;
148 
149   switch (type) {
150   case SNES_LS_BASIC:
151     ierr = SNESLineSearchSet(snes,SNESLineSearchNo,PETSC_NULL);CHKERRQ(ierr);
152     break;
153   case SNES_LS_BASIC_NONORMS:
154     ierr = SNESLineSearchSet(snes,SNESLineSearchNoNorms,PETSC_NULL);CHKERRQ(ierr);
155     break;
156   case SNES_LS_QUADRATIC:
157     ierr = SNESLineSearchSet(snes,SNESLineSearchQuadraticSecant,PETSC_NULL);CHKERRQ(ierr);
158     break;
159   case SNES_LS_TEST:
160     ierr = SNESLineSearchSet(snes,SNESLineSearchExactLinear_NCG,PETSC_NULL);CHKERRQ(ierr);
161     break;
162   case SNES_LS_SECANT:
163     ierr = SNESLineSearchSet(snes,SNESLineSearchSecant,PETSC_NULL);CHKERRQ(ierr);
164     break;
165   default:
166     SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP,"Unknown line search type");
167     break;
168   }
169   snes->ls_type = type;
170   PetscFunctionReturn(0);
171 }
172 EXTERN_C_END
173 
174 /*
175   SNESSolve_NCG - Solves a nonlinear system with the Nonlinear Conjugate Gradient method.
176 
177   Input Parameters:
178 . snes - the SNES context
179 
180   Output Parameter:
181 . outits - number of iterations until termination
182 
183   Application Interface Routine: SNESSolve()
184 */
185 #undef __FUNCT__
186 #define __FUNCT__ "SNESSolve_NCG"
187 PetscErrorCode SNESSolve_NCG(SNES snes)
188 {
189   SNES_NCG            *ncg = (SNES_NCG *)snes->data;
190   Vec                 X, dX, lX, F, W, B, G, Fold;
191   PetscReal           fnorm, gnorm, dummyNorm, beta = 0.0;
192   PetscScalar         dXdotF, dXolddotFold, dXdotFold, lXdotF, lXdotFold;
193   PetscInt            maxits, i;
194   PetscErrorCode      ierr;
195   SNESConvergedReason reason;
196   PetscBool           lsSuccess = PETSC_TRUE;
197   PetscFunctionBegin;
198   snes->reason = SNES_CONVERGED_ITERATING;
199 
200   maxits = snes->max_its;            /* maximum number of iterations */
201   X      = snes->vec_sol;            /* X^n */
202   Fold   = snes->work[0];            /* The previous iterate of X */
203   dX     = snes->work[1];            /* the steepest direction */
204   lX     = snes->vec_sol_update;     /* the conjugate direction */
205   F      = snes->vec_func;           /* residual vector */
206   W      = snes->work[2];            /* work vector and solution output for the line search */
207   B      = snes->vec_rhs;            /* the right hand side */
208   G      = snes->work[3];            /* the line search result function evaluation */
209 
210   ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
211   snes->iter = 0;
212   snes->norm = 0.;
213   ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
214 
215   /* compute the initial function and preconditioned update delX */
216   ierr = SNESComputeFunction(snes,X,F);CHKERRQ(ierr);
217   if (snes->domainerror) {
218     snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN;
219     PetscFunctionReturn(0);
220   }
221   /* convergence test */
222   ierr = VecNorm(F, NORM_2, &fnorm);CHKERRQ(ierr); /* fnorm <- ||F||  */
223   if (PetscIsInfOrNanReal(fnorm)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FP,"Infinite or not-a-number generated in norm");
224   ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
225   snes->norm = fnorm;
226   ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
227   SNESLogConvHistory(snes,fnorm,0);
228   ierr = SNESMonitor(snes,0,fnorm);CHKERRQ(ierr);
229 
230   /* set parameter for default relative tolerance convergence test */
231   snes->ttol = fnorm*snes->rtol;
232   /* test convergence */
233   ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
234   if (snes->reason) PetscFunctionReturn(0);
235 
236   /* Call general purpose update function */
237   if (snes->ops->update) {
238     ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr);
239   }
240 
241   /* first update -- just use the (preconditioned) residual direction for the initial conjugate direction */
242   if (snes->usegs && snes->ops->computegs) {
243     ierr = VecCopy(X, lX);CHKERRQ(ierr);
244     ierr = SNESComputeGS(snes, B, lX);CHKERRQ(ierr);
245     ierr = VecAXPY(lX, -1.0, X);CHKERRQ(ierr);
246   } else if (snes->pc) {
247     ierr = VecCopy(X,lX);CHKERRQ(ierr);
248     ierr = SNESSolve(snes->pc, B, lX);CHKERRQ(ierr);
249     ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr);
250     if (reason < 0 && (reason != SNES_DIVERGED_MAX_IT)) {
251       snes->reason = SNES_DIVERGED_INNER;
252       PetscFunctionReturn(0);
253     }
254     ierr = VecAXPY(lX,-1.0,X);CHKERRQ(ierr);
255   } else {
256     ierr = VecCopy(F, lX);CHKERRQ(ierr);
257     ierr = VecScale(lX,-1.0);CHKERRQ(ierr);
258   }
259 
260   ierr = VecDot(lX, F, &dXdotF);CHKERRQ(ierr);
261   for(i = 1; i < maxits + 1; i++) {
262     lsSuccess = PETSC_TRUE;
263     /* some update types require the old residual */
264     ierr = VecCopy(F, Fold);CHKERRQ(ierr);
265     ierr = (*snes->ops->linesearch)(snes, snes->lsP, X, F, lX, fnorm, 0.0, G, W, &dummyNorm, &gnorm, &lsSuccess);CHKERRQ(ierr);
266     if (!lsSuccess) {
267       if (++snes->numFailures >= snes->maxFailures) {
268         snes->reason = SNES_DIVERGED_LINE_SEARCH;
269         PetscFunctionReturn(0);
270       }
271     }
272     if (snes->nfuncs >= snes->max_funcs) {
273       snes->reason = SNES_DIVERGED_FUNCTION_COUNT;
274       PetscFunctionReturn(0);
275     }
276     if (snes->domainerror) {
277       snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN;
278       PetscFunctionReturn(0);
279     }
280 
281     /* copy over the solution */
282     ierr = VecCopy(G, F);CHKERRQ(ierr);
283     ierr = VecCopy(W, X);CHKERRQ(ierr);
284     fnorm = gnorm;
285 
286     /* Monitor convergence */
287     ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
288     snes->iter = i;
289     snes->norm = fnorm;
290     ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
291     SNESLogConvHistory(snes,snes->norm,0);
292     ierr = SNESMonitor(snes,snes->iter,snes->norm);CHKERRQ(ierr);
293 
294     /* Test for convergence */
295     ierr = (*snes->ops->converged)(snes,snes->iter,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
296     if (snes->reason) PetscFunctionReturn(0);
297 
298     /* Call general purpose update function */
299     if (snes->ops->update) {
300       ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr);
301     }
302     if (snes->usegs && snes->ops->computegs) {
303       ierr = VecCopy(X, dX);CHKERRQ(ierr);
304       ierr = SNESComputeGS(snes, B, dX);CHKERRQ(ierr);
305       ierr = VecAXPY(dX, -1.0, X);CHKERRQ(ierr);
306     } else if (snes->pc) {
307       ierr = VecCopy(X,dX);CHKERRQ(ierr);
308       ierr = SNESSolve(snes->pc, B, dX);CHKERRQ(ierr);
309       ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr);
310       if (reason < 0 && (reason != SNES_DIVERGED_MAX_IT)) {
311         snes->reason = SNES_DIVERGED_INNER;
312         PetscFunctionReturn(0);
313       }
314       ierr = VecAXPY(dX,-1.0,X);CHKERRQ(ierr);
315     } else {
316       ierr = VecCopy(F,dX);CHKERRQ(ierr);
317       ierr = VecScale(dX,-1.0);CHKERRQ(ierr);
318     }
319 
320     /* compute the conjugate direction lX = dX + beta*lX with beta = ((F, dX) / (F_old, dX_old) (Fletcher-Reeves update)*/
321     switch(ncg->betatype) {
322     case 0: /* Fletcher-Reeves */
323       dXolddotFold = dXdotF;
324       ierr = VecDot(dX, F, &dXdotF);CHKERRQ(ierr);
325       beta = PetscRealPart(dXdotF / dXolddotFold);
326       break;
327     case 1: /* Polak-Ribiere-Poylak */
328       dXolddotFold = dXdotF;
329       ierr = VecDot(dX, Fold, &dXdotFold);CHKERRQ(ierr);
330       ierr = VecDot(dX, F, &dXdotF);CHKERRQ(ierr);
331       beta = PetscRealPart(((dXdotF - dXdotFold) / dXolddotFold));
332       if (beta < 0.0) beta = 0.0; /* restart */
333       break;
334     case 2: /* Hestenes-Stiefel */
335       ierr = VecDot(dX, F, &dXdotF);CHKERRQ(ierr);
336       ierr = VecDot(dX, Fold, &dXdotFold);CHKERRQ(ierr);
337       ierr = VecDot(lX, F, &lXdotF);CHKERRQ(ierr);
338       ierr = VecDot(lX, Fold, &lXdotFold);CHKERRQ(ierr);
339       beta = PetscRealPart((dXdotF - dXdotFold) / (lXdotF - lXdotFold));
340       break;
341     case 3: /* Dai-Yuan */
342       ierr = VecDot(dX, F, &dXdotF);CHKERRQ(ierr);
343       ierr = VecDot(lX, F, &lXdotF);CHKERRQ(ierr);
344       ierr = VecDot(lX, Fold, &lXdotFold);CHKERRQ(ierr);
345       beta = PetscRealPart(dXdotF / (lXdotFold - lXdotF));CHKERRQ(ierr);
346       break;
347     case 4: /* Conjugate Descent */
348       ierr = VecDot(dX, F, &dXdotF);CHKERRQ(ierr);
349       ierr = VecDot(lX, Fold, &lXdotFold);CHKERRQ(ierr);
350       beta = PetscRealPart(dXdotF / lXdotFold);CHKERRQ(ierr);
351       break;
352     }
353     if (ncg->monitor) {
354       ierr = PetscViewerASCIIPrintf(ncg->monitor, "beta = %e\n", beta);CHKERRQ(ierr);
355     }
356     ierr = VecAYPX(lX, beta, dX);CHKERRQ(ierr);
357   }
358   ierr = PetscInfo1(snes, "Maximum number of iterations has been reached: %D\n", maxits);CHKERRQ(ierr);
359   if (!snes->reason) snes->reason = SNES_DIVERGED_MAX_IT;
360   PetscFunctionReturn(0);
361 }
362 
363 /*MC
364   SNESNCG - Nonlinear Conjugate-Gradient method for the solution of general nonlinear systems.
365 
366   Level: beginner
367 
368   Options Database:
369 +   -snes_ls_damping - damping factor to apply to F(x) (used only if -snes_ls is basic or basicnonorms)
370 -   -snes_ls <basic,basicnormnorms,quadratic>
371 
372 Notes: This solves the nonlinear system of equations F(x) = 0 using the nonlinear generalization of the conjugate
373 gradient method.  This may be used with a nonlinear preconditioner used to pick the new search directions, but otherwise
374 chooses the initial search direction as F(x) for the initial guess x.
375 
376 
377 .seealso:  SNESCreate(), SNES, SNESSetType(), SNESLS, SNESTR, SNESNGMRES, SNESNQN
378 M*/
379 EXTERN_C_BEGIN
380 #undef __FUNCT__
381 #define __FUNCT__ "SNESCreate_NCG"
382 PetscErrorCode  SNESCreate_NCG(SNES snes)
383 {
384   PetscErrorCode   ierr;
385   SNES_NCG * neP;
386 
387   PetscFunctionBegin;
388   snes->ops->destroy         = SNESDestroy_NCG;
389   snes->ops->setup           = SNESSetUp_NCG;
390   snes->ops->setfromoptions  = SNESSetFromOptions_NCG;
391   snes->ops->view            = SNESView_NCG;
392   snes->ops->solve           = SNESSolve_NCG;
393   snes->ops->reset           = SNESReset_NCG;
394 
395   snes->usesksp              = PETSC_FALSE;
396   snes->usespc               = PETSC_TRUE;
397 
398   ierr = PetscNewLog(snes, SNES_NCG, &neP);CHKERRQ(ierr);
399   snes->data = (void*) neP;
400   neP->monitor = PETSC_NULL;
401   neP->betatype = 0;
402   ierr = PetscObjectComposeFunctionDynamic((PetscObject)snes,"SNESLineSearchSetType_C","SNESLineSearchSetType_NCG",SNESLineSearchSetType_NCG);CHKERRQ(ierr);
403   ierr = SNESLineSearchSetType(snes, SNES_LS_QUADRATIC);CHKERRQ(ierr);
404   PetscFunctionReturn(0);
405 }
406 EXTERN_C_END
407