xref: /petsc/src/snes/mf/snesmfj.c (revision 2d09714cf306bca2324d75942e9b6c7f4c8cb59e)
1 
2 #include "src/mat/matimpl.h"
3 #include "src/snes/mf/snesmfj.h"   /*I  "petscsnes.h"   I*/
4 
5 PetscFList      MatSNESMPetscFList              = 0;
6 PetscTruth MatSNESMFRegisterAllCalled = PETSC_FALSE;
7 
8 #undef __FUNCT__
9 #define __FUNCT__ "MatSNESMFSetType"
10 /*@C
11     MatSNESMFSetType - Sets the method that is used to compute the
12     differencing parameter for finite differene matrix-free formulations.
13 
14     Input Parameters:
15 +   mat - the "matrix-free" matrix created via MatCreateSNESMF(), or MatCreateMF()
16           or MatSetType(mat,MATMFFD);
17 -   ftype - the type requested
18 
19     Level: advanced
20 
21     Notes:
22     For example, such routines can compute h for use in
23     Jacobian-vector products of the form
24 
25                         F(x+ha) - F(x)
26           F'(u)a  ~=  ----------------
27                               h
28 
29 .seealso: MatCreateSNESMF(), MatSNESMFRegisterDynamic)
30 @*/
31 int MatSNESMFSetType(Mat mat,const MatSNESMFType ftype)
32 {
33   int          ierr,(*r)(MatSNESMFCtx);
34   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
35   PetscTruth   match;
36 
37   PetscFunctionBegin;
38   PetscValidHeaderSpecific(mat,MAT_COOKIE,1);
39   PetscValidCharPointer(ftype,2);
40 
41   /* already set, so just return */
42   ierr = PetscTypeCompare((PetscObject)ctx,ftype,&match);CHKERRQ(ierr);
43   if (match) PetscFunctionReturn(0);
44 
45   /* destroy the old one if it exists */
46   if (ctx->ops->destroy) {
47     ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr);
48   }
49 
50   /* Get the function pointers for the requrested method */
51   if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);}
52 
53   ierr =  PetscFListFind(ctx->comm,MatSNESMPetscFList,ftype,(void (**)(void)) &r);CHKERRQ(ierr);
54 
55   if (!r) SETERRQ(1,"Unknown MatSNESMF type given");
56 
57   ierr = (*r)(ctx);CHKERRQ(ierr);
58 
59   ierr = PetscObjectChangeTypeName((PetscObject)ctx,ftype);CHKERRQ(ierr);
60 
61   PetscFunctionReturn(0);
62 }
63 
64 typedef int (*FCN1)(Vec,void*); /* force argument to next function to not be extern C*/
65 EXTERN_C_BEGIN
66 #undef __FUNCT__
67 #define __FUNCT__ "MatSNESMFSetFunctioniBase_FD"
68 int MatSNESMFSetFunctioniBase_FD(Mat mat,FCN1 func)
69 {
70   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
71 
72   PetscFunctionBegin;
73   ctx->funcisetbase = func;
74   PetscFunctionReturn(0);
75 }
76 EXTERN_C_END
77 
78 typedef int (*FCN2)(int,Vec,PetscScalar*,void*); /* force argument to next function to not be extern C*/
79 EXTERN_C_BEGIN
80 #undef __FUNCT__
81 #define __FUNCT__ "MatSNESMFSetFunctioni_FD"
82 int MatSNESMFSetFunctioni_FD(Mat mat,FCN2 funci)
83 {
84   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
85 
86   PetscFunctionBegin;
87   ctx->funci = funci;
88   PetscFunctionReturn(0);
89 }
90 EXTERN_C_END
91 
92 
93 #undef __FUNCT__
94 #define __FUNCT__ "MatSNESMFRegister"
95 int MatSNESMFRegister(const char sname[],const char path[],const char name[],int (*function)(MatSNESMFCtx))
96 {
97   int ierr;
98   char fullname[PETSC_MAX_PATH_LEN];
99 
100   PetscFunctionBegin;
101   ierr = PetscFListConcat(path,name,fullname);CHKERRQ(ierr);
102   ierr = PetscFListAdd(&MatSNESMPetscFList,sname,fullname,(void (*)(void))function);CHKERRQ(ierr);
103   PetscFunctionReturn(0);
104 }
105 
106 
107 #undef __FUNCT__
108 #define __FUNCT__ "MatSNESMFRegisterDestroy"
109 /*@C
110    MatSNESMFRegisterDestroy - Frees the list of MatSNESMF methods that were
111    registered by MatSNESMFRegisterDynamic).
112 
113    Not Collective
114 
115    Level: developer
116 
117 .keywords: MatSNESMF, register, destroy
118 
119 .seealso: MatSNESMFRegisterDynamic), MatSNESMFRegisterAll()
120 @*/
121 int MatSNESMFRegisterDestroy(void)
122 {
123   int ierr;
124 
125   PetscFunctionBegin;
126   if (MatSNESMPetscFList) {
127     ierr = PetscFListDestroy(&MatSNESMPetscFList);CHKERRQ(ierr);
128     MatSNESMPetscFList = 0;
129   }
130   MatSNESMFRegisterAllCalled = PETSC_FALSE;
131   PetscFunctionReturn(0);
132 }
133 
134 /* ----------------------------------------------------------------------------------------*/
135 #undef __FUNCT__
136 #define __FUNCT__ "MatDestroy_MFFD"
137 int MatDestroy_MFFD(Mat mat)
138 {
139   int          ierr;
140   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
141 
142   PetscFunctionBegin;
143   if (ctx->w != PETSC_NULL) {
144     ierr = VecDestroy(ctx->w);CHKERRQ(ierr);
145   }
146   if (ctx->ops->destroy) {ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr);}
147   if (ctx->sp) {ierr = MatNullSpaceDestroy(ctx->sp);CHKERRQ(ierr);}
148   PetscHeaderDestroy(ctx);
149   PetscFunctionReturn(0);
150 }
151 
152 #undef __FUNCT__
153 #define __FUNCT__ "MatView_MFFD"
154 /*
155    MatSNESMFView_MFFD - Views matrix-free parameters.
156 
157 */
158 int MatView_MFFD(Mat J,PetscViewer viewer)
159 {
160   int          ierr;
161   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
162   PetscTruth   iascii;
163 
164   PetscFunctionBegin;
165   ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr);
166   if (iascii) {
167      ierr = PetscViewerASCIIPrintf(viewer,"  SNES matrix-free approximation:\n");CHKERRQ(ierr);
168      ierr = PetscViewerASCIIPrintf(viewer,"    err=%g (relative error in function evaluation)\n",ctx->error_rel);CHKERRQ(ierr);
169      if (!ctx->type_name) {
170        ierr = PetscViewerASCIIPrintf(viewer,"    The compute h routine has not yet been set\n");CHKERRQ(ierr);
171      } else {
172        ierr = PetscViewerASCIIPrintf(viewer,"    Using %s compute h routine\n",ctx->type_name);CHKERRQ(ierr);
173      }
174      if (ctx->ops->view) {
175        ierr = (*ctx->ops->view)(ctx,viewer);CHKERRQ(ierr);
176      }
177   } else {
178     SETERRQ1(1,"Viewer type %s not supported for SNES matrix free matrix",((PetscObject)viewer)->type_name);
179   }
180   PetscFunctionReturn(0);
181 }
182 
183 #undef __FUNCT__
184 #define __FUNCT__ "MatAssemblyEnd_MFFD"
185 /*
186    MatSNESMFAssemblyEnd_Private - Resets the ctx->ncurrenth to zero. This
187    allows the user to indicate the beginning of a new linear solve by calling
188    MatAssemblyXXX() on the matrix free matrix. This then allows the
189    MatSNESMFCreate_WP() to properly compute ||U|| only the first time
190    in the linear solver rather than every time.
191 */
192 int MatAssemblyEnd_MFFD(Mat J,MatAssemblyType mt)
193 {
194   int             ierr;
195   MatSNESMFCtx    j = (MatSNESMFCtx)J->data;
196 
197   PetscFunctionBegin;
198   ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr);
199   if (j->usesnes) {
200     ierr = SNESGetSolution(j->snes,&j->current_u);CHKERRQ(ierr);
201     ierr = SNESGetFunction(j->snes,&j->current_f,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
202     if (j->w == PETSC_NULL) {
203       ierr = VecDuplicate(j->current_u, &j->w);CHKERRQ(ierr);
204     }
205   }
206   j->vshift = 0.0;
207   j->vscale = 1.0;
208   PetscFunctionReturn(0);
209 }
210 
211 #undef __FUNCT__
212 #define __FUNCT__ "MatMult_MFFD"
213 /*
214   MatMult_MFFD - Default matrix-free form for Jacobian-vector product, y = F'(u)*a:
215 
216         y ~= (F(u + ha) - F(u))/h,
217   where F = nonlinear function, as set by SNESSetFunction()
218         u = current iterate
219         h = difference interval
220 */
221 int MatMult_MFFD(Mat mat,Vec a,Vec y)
222 {
223   MatSNESMFCtx    ctx = (MatSNESMFCtx)mat->data;
224   SNES            snes;
225   PetscScalar     h,mone = -1.0;
226   Vec             w,U,F;
227   int             ierr,(*eval_fct)(SNES,Vec,Vec)=0;
228 
229   PetscFunctionBegin;
230   /* We log matrix-free matrix-vector products separately, so that we can
231      separate the performance monitoring from the cases that use conventional
232      storage.  We may eventually modify event logging to associate events
233      with particular objects, hence alleviating the more general problem. */
234   ierr = PetscLogEventBegin(MAT_MultMatrixFree,a,y,0,0);CHKERRQ(ierr);
235 
236   snes = ctx->snes;
237   w    = ctx->w;
238   U    = ctx->current_u;
239 
240   /*
241       Compute differencing parameter
242   */
243   if (!ctx->ops->compute) {
244     ierr = MatSNESMFSetType(mat,MATSNESMF_WP);CHKERRQ(ierr);
245     ierr = MatSNESMFSetFromOptions(mat);CHKERRQ(ierr);
246   }
247   ierr = (*ctx->ops->compute)(ctx,U,a,&h);CHKERRQ(ierr);
248 
249   if (ctx->checkh) {
250     ierr = (*ctx->checkh)(U,a,&h,ctx->checkhctx);CHKERRQ(ierr);
251   }
252 
253   /* keep a record of the current differencing parameter h */
254   ctx->currenth = h;
255 #if defined(PETSC_USE_COMPLEX)
256   PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %g + %g i\n",PetscRealPart(h),PetscImaginaryPart(h));
257 #else
258   PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %15.12e\n",h);
259 #endif
260   if (ctx->historyh && ctx->ncurrenth < ctx->maxcurrenth) {
261     ctx->historyh[ctx->ncurrenth] = h;
262   }
263   ctx->ncurrenth++;
264 
265   /* w = u + ha */
266   ierr = VecWAXPY(&h,a,U,w);CHKERRQ(ierr);
267 
268   if (ctx->usesnes) {
269     eval_fct = SNESComputeFunction;
270     F    = ctx->current_f;
271     if (!F) SETERRQ(1,"You must call MatAssembly() even on matrix-free matrices");
272     ierr = (*eval_fct)(snes,w,y);CHKERRQ(ierr);
273   } else {
274     F = ctx->funcvec;
275     /* compute func(U) as base for differencing */
276     if (ctx->ncurrenth == 1) {
277       ierr = (*ctx->func)(snes,U,F,ctx->funcctx);CHKERRQ(ierr);
278     }
279     ierr = (*ctx->func)(snes,w,y,ctx->funcctx);CHKERRQ(ierr);
280   }
281 
282   ierr = VecAXPY(&mone,F,y);CHKERRQ(ierr);
283   h    = 1.0/h;
284   ierr = VecScale(&h,y);CHKERRQ(ierr);
285 
286 
287   if (ctx->vshift != 0.0 && ctx->vscale != 1.0) {
288     ierr = VecAXPBY(&ctx->vshift,&ctx->vscale,a,y);CHKERRQ(ierr);
289   } else if (ctx->vscale != 1.0) {
290     ierr = VecScale(&ctx->vscale,y);CHKERRQ(ierr);
291   } else if (ctx->vshift != 0.0) {
292     ierr = VecAXPY(&ctx->vshift,a,y);CHKERRQ(ierr);
293   }
294 
295   if (ctx->sp) {ierr = MatNullSpaceRemove(ctx->sp,y,PETSC_NULL);CHKERRQ(ierr);}
296 
297   ierr = PetscLogEventEnd(MAT_MultMatrixFree,a,y,0,0);CHKERRQ(ierr);
298   PetscFunctionReturn(0);
299 }
300 
301 #undef __FUNCT__
302 #define __FUNCT__ "MatGetDiagonal_MFFD"
303 /*
304   MatGetDiagonal_MFFD - Gets the diagonal for a matrix free matrix
305 
306         y ~= (F(u + ha) - F(u))/h,
307   where F = nonlinear function, as set by SNESSetFunction()
308         u = current iterate
309         h = difference interval
310 */
311 int MatGetDiagonal_MFFD(Mat mat,Vec a)
312 {
313   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
314   PetscScalar  h,*aa,*ww,v;
315   PetscReal    epsilon = PETSC_SQRT_MACHINE_EPSILON,umin = 100.0*PETSC_SQRT_MACHINE_EPSILON;
316   Vec          w,U;
317   int          i,ierr,rstart,rend;
318 
319   PetscFunctionBegin;
320   if (!ctx->funci) {
321     SETERRQ(1,"Requirers calling MatSNESMFSetFunctioni() first");
322   }
323 
324   w    = ctx->w;
325   U    = ctx->current_u;
326   ierr = (*ctx->func)(0,U,a,ctx->funcctx);CHKERRQ(ierr);
327   ierr = (*ctx->funcisetbase)(U,ctx->funcctx);CHKERRQ(ierr);
328   ierr = VecCopy(U,w);CHKERRQ(ierr);
329 
330   ierr = VecGetOwnershipRange(a,&rstart,&rend);CHKERRQ(ierr);
331   ierr = VecGetArray(a,&aa);CHKERRQ(ierr);
332   for (i=rstart; i<rend; i++) {
333     ierr = VecGetArray(w,&ww);CHKERRQ(ierr);
334     h  = ww[i-rstart];
335     if (h == 0.0) h = 1.0;
336 #if !defined(PETSC_USE_COMPLEX)
337     if (h < umin && h >= 0.0)      h = umin;
338     else if (h < 0.0 && h > -umin) h = -umin;
339 #else
340     if (PetscAbsScalar(h) < umin && PetscRealPart(h) >= 0.0)     h = umin;
341     else if (PetscRealPart(h) < 0.0 && PetscAbsScalar(h) < umin) h = -umin;
342 #endif
343     h     *= epsilon;
344 
345     ww[i-rstart] += h;
346     ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr);
347     ierr          = (*ctx->funci)(i,w,&v,ctx->funcctx);CHKERRQ(ierr);
348     aa[i-rstart]  = (v - aa[i-rstart])/h;
349 
350     /* possibly shift and scale result */
351     aa[i - rstart] = ctx->vshift + ctx->vscale*aa[i-rstart];
352 
353     ierr = VecGetArray(w,&ww);CHKERRQ(ierr);
354     ww[i-rstart] -= h;
355     ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr);
356   }
357   ierr = VecRestoreArray(a,&aa);CHKERRQ(ierr);
358   PetscFunctionReturn(0);
359 }
360 
361 #undef __FUNCT__
362 #define __FUNCT__ "MatShift_MFFD"
363 int MatShift_MFFD(const PetscScalar *a,Mat Y)
364 {
365   MatSNESMFCtx shell = (MatSNESMFCtx)Y->data;
366   PetscFunctionBegin;
367   shell->vshift += *a;
368   PetscFunctionReturn(0);
369 }
370 
371 #undef __FUNCT__
372 #define __FUNCT__ "MatScale_MFFD"
373 int MatScale_MFFD(const PetscScalar *a,Mat Y)
374 {
375   MatSNESMFCtx shell = (MatSNESMFCtx)Y->data;
376   PetscFunctionBegin;
377   shell->vscale *= *a;
378   PetscFunctionReturn(0);
379 }
380 
381 
382 #undef __FUNCT__
383 #define __FUNCT__ "MatCreateSNESMF"
384 /*@C
385    MatCreateSNESMF - Creates a matrix-free matrix context for use with
386    a SNES solver.  This matrix can be used as the Jacobian argument for
387    the routine SNESSetJacobian().
388 
389    Collective on SNES and Vec
390 
391    Input Parameters:
392 +  snes - the SNES context
393 -  x - vector where SNES solution is to be stored.
394 
395    Output Parameter:
396 .  J - the matrix-free matrix
397 
398    Level: advanced
399 
400    Notes:
401    The matrix-free matrix context merely contains the function pointers
402    and work space for performing finite difference approximations of
403    Jacobian-vector products, F'(u)*a,
404 
405    The default code uses the following approach to compute h
406 
407 .vb
408      F'(u)*a = [F(u+h*a) - F(u)]/h where
409      h = error_rel*u'a/||a||^2                        if  |u'a| > umin*||a||_{1}
410        = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2   otherwise
411  where
412      error_rel = square root of relative error in function evaluation
413      umin = minimum iterate parameter
414 .ve
415 
416    The user can set the error_rel via MatSNESMFSetFunctionError() and
417    umin via MatSNESMFDefaultSetUmin(); see the nonlinear solvers chapter
418    of the users manual for details.
419 
420    The user should call MatDestroy() when finished with the matrix-free
421    matrix context.
422 
423    Options Database Keys:
424 +  -snes_mf_err <error_rel> - Sets error_rel
425 .  -snes_mf_unim <umin> - Sets umin (for default PETSc routine that computes h only)
426 -  -snes_mf_ksp_monitor - KSP monitor routine that prints differencing h
427 
428 .keywords: SNES, default, matrix-free, create, matrix
429 
430 .seealso: MatDestroy(), MatSNESMFSetFunctionError(), MatSNESMFDefaultSetUmin()
431           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatCreateMF(),
432           MatSNESMFGetH(),MatSNESMFKSPMonitor(), MatSNESMFRegisterDynamic), MatSNESMFComputeJacobian()
433 
434 @*/
435 int MatCreateSNESMF(SNES snes,Vec x,Mat *J)
436 {
437   MatSNESMFCtx mfctx;
438   int          ierr;
439 
440   PetscFunctionBegin;
441   ierr = MatCreateMF(x,J);CHKERRQ(ierr);
442 
443   mfctx          = (MatSNESMFCtx)(*J)->data;
444   mfctx->snes    = snes;
445   mfctx->usesnes = PETSC_TRUE;
446   PetscLogObjectParent(snes,*J);
447   PetscFunctionReturn(0);
448 }
449 
450 EXTERN_C_BEGIN
451 #undef __FUNCT__
452 #define __FUNCT__ "MatSNESMFSetBase_FD"
453 int MatSNESMFSetBase_FD(Mat J,Vec U)
454 {
455   int          ierr;
456   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
457 
458   PetscFunctionBegin;
459   ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr);
460   ctx->current_u = U;
461   ctx->usesnes   = PETSC_FALSE;
462   if (ctx->w == PETSC_NULL) {
463     ierr = VecDuplicate(ctx->current_u, &ctx->w);CHKERRQ(ierr);
464   }
465   PetscFunctionReturn(0);
466 }
467 EXTERN_C_END
468 
469 typedef int (*FCN3)(Vec,Vec,PetscScalar*,void*); /* force argument to next function to not be extern C*/
470 EXTERN_C_BEGIN
471 #undef __FUNCT__
472 #define __FUNCT__ "MatSNESMFSetCheckh_FD"
473 int MatSNESMFSetCheckh_FD(Mat J,FCN3 fun,void*ectx)
474 {
475   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
476 
477   PetscFunctionBegin;
478   ctx->checkh    = fun;
479   ctx->checkhctx = ectx;
480   PetscFunctionReturn(0);
481 }
482 EXTERN_C_END
483 
484 #undef __FUNCT__
485 #define __FUNCT__ "MatSNESMFSetFromOptions"
486 /*@
487    MatSNESMFSetFromOptions - Sets the MatSNESMF options from the command line
488    parameter.
489 
490    Collective on Mat
491 
492    Input Parameters:
493 .  mat - the matrix obtained with MatCreateSNESMF()
494 
495    Options Database Keys:
496 +  -snes_mf_type - <default,wp>
497 -  -snes_mf_err - square root of estimated relative error in function evaluation
498 -  -snes_mf_period - how often h is recomputed, defaults to 1, everytime
499 
500    Level: advanced
501 
502 .keywords: SNES, matrix-free, parameters
503 
504 .seealso: MatCreateSNESMF(),MatSNESMFSetHHistory(),
505           MatSNESMFResetHHistory(), MatSNESMFKSPMonitor()
506 @*/
507 int MatSNESMFSetFromOptions(Mat mat)
508 {
509   MatSNESMFCtx mfctx = (MatSNESMFCtx)mat->data;
510   int          ierr;
511   PetscTruth   flg;
512   char         ftype[256];
513 
514   PetscFunctionBegin;
515   if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);}
516 
517   ierr = PetscOptionsBegin(mfctx->comm,mfctx->prefix,"Set matrix free computation parameters","MatSNESMF");CHKERRQ(ierr);
518   ierr = PetscOptionsList("-snes_mf_type","Matrix free type","MatSNESMFSetType",MatSNESMPetscFList,mfctx->type_name,ftype,256,&flg);CHKERRQ(ierr);
519   if (flg) {
520     ierr = MatSNESMFSetType(mat,ftype);CHKERRQ(ierr);
521   }
522 
523   ierr = PetscOptionsReal("-snes_mf_err","set sqrt relative error in function","MatSNESMFSetFunctionError",mfctx->error_rel,&mfctx->error_rel,0);CHKERRQ(ierr);
524   ierr = PetscOptionsInt("-snes_mf_period","how often h is recomputed","MatSNESMFSetPeriod",mfctx->recomputeperiod,&mfctx->recomputeperiod,0);CHKERRQ(ierr);
525   if (mfctx->snes) {
526     ierr = PetscOptionsName("-snes_mf_ksp_monitor","Monitor matrix-free parameters","MatSNESMFKSPMonitor",&flg);CHKERRQ(ierr);
527     if (flg) {
528       KSP ksp;
529       ierr = SNESGetKSP(mfctx->snes,&ksp);CHKERRQ(ierr);
530       ierr = KSPSetMonitor(ksp,MatSNESMFKSPMonitor,PETSC_NULL,0);CHKERRQ(ierr);
531     }
532   }
533   ierr = PetscOptionsName("-snes_mf_check_positivity","Insure that U + h*a is nonnegative","MatSNESMFSetCheckh",&flg);CHKERRQ(ierr);
534   if (flg) {
535     ierr = MatSNESMFSetCheckh(mat,MatSNESMFCheckPositivity,0);CHKERRQ(ierr);
536   }
537   if (mfctx->ops->setfromoptions) {
538     ierr = (*mfctx->ops->setfromoptions)(mfctx);CHKERRQ(ierr);
539   }
540   ierr = PetscOptionsEnd();CHKERRQ(ierr);
541   PetscFunctionReturn(0);
542 }
543 
544 /*MC
545   MATMFFD - MATMFFD = "mffd" - A matrix free matrix type.
546 
547   Level: advanced
548 
549 .seealso: MatCreateMF, MatCreateSNESMF
550 M*/
551 EXTERN_C_BEGIN
552 #undef __FUNCT__
553 #define __FUNCT__ "MatCreate_MFFD"
554 int MatCreate_MFFD(Mat A)
555 {
556   MatSNESMFCtx mfctx;
557   int          ierr;
558 
559   PetscFunctionBegin;
560 #ifndef PETSC_USE_DYNAMIC_LIBRARIES
561   ierr = SNESInitializePackage(PETSC_NULL);CHKERRQ(ierr);
562 #endif
563 
564   PetscHeaderCreate(mfctx,_p_MatSNESMFCtx,struct _MFOps,MATSNESMFCTX_COOKIE,0,"SNESMF",A->comm,MatDestroy_MFFD,MatView_MFFD);
565   PetscLogObjectCreate(mfctx);
566   mfctx->sp              = 0;
567   mfctx->snes            = 0;
568   mfctx->error_rel       = PETSC_SQRT_MACHINE_EPSILON;
569   mfctx->recomputeperiod = 1;
570   mfctx->count           = 0;
571   mfctx->currenth        = 0.0;
572   mfctx->historyh        = PETSC_NULL;
573   mfctx->ncurrenth       = 0;
574   mfctx->maxcurrenth     = 0;
575   mfctx->type_name       = 0;
576   mfctx->usesnes         = PETSC_FALSE;
577 
578   mfctx->vshift          = 0.0;
579   mfctx->vscale          = 1.0;
580 
581   /*
582      Create the empty data structure to contain compute-h routines.
583      These will be filled in below from the command line options or
584      a later call with MatSNESMFSetType() or if that is not called
585      then it will default in the first use of MatMult_MFFD()
586   */
587   mfctx->ops->compute        = 0;
588   mfctx->ops->destroy        = 0;
589   mfctx->ops->view           = 0;
590   mfctx->ops->setfromoptions = 0;
591   mfctx->hctx                = 0;
592 
593   mfctx->func                = 0;
594   mfctx->funcctx             = 0;
595   mfctx->funcvec             = 0;
596   mfctx->w                   = PETSC_NULL;
597 
598   A->data                = mfctx;
599 
600   A->ops->mult           = MatMult_MFFD;
601   A->ops->destroy        = MatDestroy_MFFD;
602   A->ops->view           = MatView_MFFD;
603   A->ops->assemblyend    = MatAssemblyEnd_MFFD;
604   A->ops->getdiagonal    = MatGetDiagonal_MFFD;
605   A->ops->scale          = MatScale_MFFD;
606   A->ops->shift          = MatShift_MFFD;
607   A->ops->setfromoptions = MatSNESMFSetFromOptions;
608 
609   ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetBase_C","MatSNESMFSetBase_FD",MatSNESMFSetBase_FD);CHKERRQ(ierr);
610   ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioniBase_C","MatSNESMFSetFunctioniBase_FD",MatSNESMFSetFunctioniBase_FD);CHKERRQ(ierr);
611   ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioni_C","MatSNESMFSetFunctioni_FD",MatSNESMFSetFunctioni_FD);CHKERRQ(ierr);
612   ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetCheckh_C","MatSNESMFSetCheckh_FD",MatSNESMFSetCheckh_FD);CHKERRQ(ierr);
613   mfctx->mat = A;
614 
615   PetscFunctionReturn(0);
616 }
617 EXTERN_C_END
618 
619 #undef __FUNCT__
620 #define __FUNCT__ "MatCreateMF"
621 /*@C
622    MatCreateMF - Creates a matrix-free matrix. See also MatCreateSNESMF()
623 
624    Collective on Vec
625 
626    Input Parameters:
627 .  x - vector that defines layout of the vectors and matrices
628 
629    Output Parameter:
630 .  J - the matrix-free matrix
631 
632    Level: advanced
633 
634    Notes:
635    The matrix-free matrix context merely contains the function pointers
636    and work space for performing finite difference approximations of
637    Jacobian-vector products, F'(u)*a,
638 
639    The default code uses the following approach to compute h
640 
641 .vb
642      F'(u)*a = [F(u+h*a) - F(u)]/h where
643      h = error_rel*u'a/||a||^2                        if  |u'a| > umin*||a||_{1}
644        = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2   otherwise
645  where
646      error_rel = square root of relative error in function evaluation
647      umin = minimum iterate parameter
648 .ve
649 
650    The user can set the error_rel via MatSNESMFSetFunctionError() and
651    umin via MatSNESMFDefaultSetUmin(); see the nonlinear solvers chapter
652    of the users manual for details.
653 
654    The user should call MatDestroy() when finished with the matrix-free
655    matrix context.
656 
657    Options Database Keys:
658 +  -snes_mf_err <error_rel> - Sets error_rel
659 .  -snes_mf_unim <umin> - Sets umin (for default PETSc routine that computes h only)
660 .  -snes_mf_ksp_monitor - KSP monitor routine that prints differencing h
661 -  -snes_mf_check_positivity
662 
663 .keywords: default, matrix-free, create, matrix
664 
665 .seealso: MatDestroy(), MatSNESMFSetFunctionError(), MatSNESMFDefaultSetUmin()
666           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatCreateSNESMF(),
667           MatSNESMFGetH(),MatSNESMFKSPMonitor(), MatSNESMFRegisterDynamic),, MatSNESMFComputeJacobian()
668 
669 @*/
670 int MatCreateMF(Vec x,Mat *J)
671 {
672   MPI_Comm     comm;
673   int          n,nloc,ierr;
674 
675   PetscFunctionBegin;
676   ierr = PetscObjectGetComm((PetscObject)x,&comm);CHKERRQ(ierr);
677   ierr = VecGetSize(x,&n);CHKERRQ(ierr);
678   ierr = VecGetLocalSize(x,&nloc);CHKERRQ(ierr);
679   ierr = MatCreate(comm,nloc,nloc,n,n,J);CHKERRQ(ierr);
680   ierr = MatRegisterDynamic(MATMFFD,0,"MatCreate_MFFD",MatCreate_MFFD);CHKERRQ(ierr);
681   ierr = MatSetType(*J,MATMFFD);CHKERRQ(ierr);
682   PetscFunctionReturn(0);
683 }
684 
685 
686 #undef __FUNCT__
687 #define __FUNCT__ "MatSNESMFGetH"
688 /*@
689    MatSNESMFGetH - Gets the last value that was used as the differencing
690    parameter.
691 
692    Not Collective
693 
694    Input Parameters:
695 .  mat - the matrix obtained with MatCreateSNESMF()
696 
697    Output Paramter:
698 .  h - the differencing step size
699 
700    Level: advanced
701 
702 .keywords: SNES, matrix-free, parameters
703 
704 .seealso: MatCreateSNESMF(),MatSNESMFSetHHistory(),
705           MatSNESMFResetHHistory(),MatSNESMFKSPMonitor()
706 @*/
707 int MatSNESMFGetH(Mat mat,PetscScalar *h)
708 {
709   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
710 
711   PetscFunctionBegin;
712   *h = ctx->currenth;
713   PetscFunctionReturn(0);
714 }
715 
716 #undef __FUNCT__
717 #define __FUNCT__ "MatSNESMFKSPMonitor"
718 /*
719    MatSNESMFKSPMonitor - A KSP monitor for use with the default PETSc
720    SNES matrix free routines. Prints the differencing parameter used at
721    each step.
722 */
723 int MatSNESMFKSPMonitor(KSP ksp,int n,PetscReal rnorm,void *dummy)
724 {
725   PC             pc;
726   MatSNESMFCtx   ctx;
727   int            ierr;
728   Mat            mat;
729   MPI_Comm       comm;
730   PetscTruth     nonzeroinitialguess;
731 
732   PetscFunctionBegin;
733   ierr = PetscObjectGetComm((PetscObject)ksp,&comm);CHKERRQ(ierr);
734   ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
735   ierr = KSPGetInitialGuessNonzero(ksp,&nonzeroinitialguess);CHKERRQ(ierr);
736   ierr = PCGetOperators(pc,&mat,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr);
737   ctx  = (MatSNESMFCtx)mat->data;
738 
739   if (n > 0 || nonzeroinitialguess) {
740 #if defined(PETSC_USE_COMPLEX)
741     ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e h %g + %g i\n",n,rnorm,
742                 PetscRealPart(ctx->currenth),PetscImaginaryPart(ctx->currenth));CHKERRQ(ierr);
743 #else
744     ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e h %g \n",n,rnorm,ctx->currenth);CHKERRQ(ierr);
745 #endif
746   } else {
747     ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e\n",n,rnorm);CHKERRQ(ierr);
748   }
749   PetscFunctionReturn(0);
750 }
751 
752 #undef __FUNCT__
753 #define __FUNCT__ "MatSNESMFSetFunction"
754 /*@C
755    MatSNESMFSetFunction - Sets the function used in applying the matrix free.
756 
757    Collective on Mat
758 
759    Input Parameters:
760 +  mat - the matrix free matrix created via MatCreateSNESMF()
761 .  v   - workspace vector
762 .  func - the function to use
763 -  funcctx - optional function context passed to function
764 
765    Level: advanced
766 
767    Notes:
768     If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free
769     matrix inside your compute Jacobian routine
770 
771     If this is not set then it will use the function set with SNESSetFunction()
772 
773 .keywords: SNES, matrix-free, function
774 
775 .seealso: MatCreateSNESMF(),MatSNESMFGetH(),
776           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
777           MatSNESMFKSPMonitor(), SNESetFunction()
778 @*/
779 int MatSNESMFSetFunction(Mat mat,Vec v,int (*func)(SNES,Vec,Vec,void *),void *funcctx)
780 {
781   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
782 
783   PetscFunctionBegin;
784   ctx->func    = func;
785   ctx->funcctx = funcctx;
786   ctx->funcvec = v;
787   PetscFunctionReturn(0);
788 }
789 
790 #undef __FUNCT__
791 #define __FUNCT__ "MatSNESMFSetFunctioni"
792 /*@C
793    MatSNESMFSetFunctioni - Sets the function for a single component
794 
795    Collective on Mat
796 
797    Input Parameters:
798 +  mat - the matrix free matrix created via MatCreateSNESMF()
799 -  funci - the function to use
800 
801    Level: advanced
802 
803    Notes:
804     If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free
805     matrix inside your compute Jacobian routine
806 
807 
808 .keywords: SNES, matrix-free, function
809 
810 .seealso: MatCreateSNESMF(),MatSNESMFGetH(),
811           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
812           MatSNESMFKSPMonitor(), SNESetFunction()
813 @*/
814 int MatSNESMFSetFunctioni(Mat mat,int (*funci)(int,Vec,PetscScalar*,void *))
815 {
816   int  ierr,(*f)(Mat,int (*)(int,Vec,PetscScalar*,void *));
817 
818   PetscFunctionBegin;
819   PetscValidHeaderSpecific(mat,MAT_COOKIE,1);
820   ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSNESMFSetFunctioni_C",(void (**)(void))&f);CHKERRQ(ierr);
821   if (f) {
822     ierr = (*f)(mat,funci);CHKERRQ(ierr);
823   }
824   PetscFunctionReturn(0);
825 }
826 
827 
828 #undef __FUNCT__
829 #define __FUNCT__ "MatSNESMFSetFunctioniBase"
830 /*@C
831    MatSNESMFSetFunctioniBase - Sets the base vector for a single component function evaluation
832 
833    Collective on Mat
834 
835    Input Parameters:
836 +  mat - the matrix free matrix created via MatCreateSNESMF()
837 -  func - the function to use
838 
839    Level: advanced
840 
841    Notes:
842     If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free
843     matrix inside your compute Jacobian routine
844 
845 
846 .keywords: SNES, matrix-free, function
847 
848 .seealso: MatCreateSNESMF(),MatSNESMFGetH(),
849           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
850           MatSNESMFKSPMonitor(), SNESetFunction()
851 @*/
852 int MatSNESMFSetFunctioniBase(Mat mat,int (*func)(Vec,void *))
853 {
854   int  ierr,(*f)(Mat,int (*)(Vec,void *));
855 
856   PetscFunctionBegin;
857   PetscValidHeaderSpecific(mat,MAT_COOKIE,1);
858   ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSNESMFSetFunctioniBase_C",(void (**)(void))&f);CHKERRQ(ierr);
859   if (f) {
860     ierr = (*f)(mat,func);CHKERRQ(ierr);
861   }
862   PetscFunctionReturn(0);
863 }
864 
865 
866 #undef __FUNCT__
867 #define __FUNCT__ "MatSNESMFSetPeriod"
868 /*@
869    MatSNESMFSetPeriod - Sets how often h is recomputed, by default it is everytime
870 
871    Collective on Mat
872 
873    Input Parameters:
874 +  mat - the matrix free matrix created via MatCreateSNESMF()
875 -  period - 1 for everytime, 2 for every second etc
876 
877    Options Database Keys:
878 +  -snes_mf_period <period>
879 
880    Level: advanced
881 
882 
883 .keywords: SNES, matrix-free, parameters
884 
885 .seealso: MatCreateSNESMF(),MatSNESMFGetH(),
886           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
887           MatSNESMFKSPMonitor()
888 @*/
889 int MatSNESMFSetPeriod(Mat mat,int period)
890 {
891   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
892 
893   PetscFunctionBegin;
894   ctx->recomputeperiod = period;
895   PetscFunctionReturn(0);
896 }
897 
898 #undef __FUNCT__
899 #define __FUNCT__ "MatSNESMFSetFunctionError"
900 /*@
901    MatSNESMFSetFunctionError - Sets the error_rel for the approximation of
902    matrix-vector products using finite differences.
903 
904    Collective on Mat
905 
906    Input Parameters:
907 +  mat - the matrix free matrix created via MatCreateSNESMF()
908 -  error_rel - relative error (should be set to the square root of
909                the relative error in the function evaluations)
910 
911    Options Database Keys:
912 +  -snes_mf_err <error_rel> - Sets error_rel
913 
914    Level: advanced
915 
916    Notes:
917    The default matrix-free matrix-vector product routine computes
918 .vb
919      F'(u)*a = [F(u+h*a) - F(u)]/h where
920      h = error_rel*u'a/||a||^2                        if  |u'a| > umin*||a||_{1}
921        = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2   else
922 .ve
923 
924 .keywords: SNES, matrix-free, parameters
925 
926 .seealso: MatCreateSNESMF(),MatSNESMFGetH(),
927           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
928           MatSNESMFKSPMonitor()
929 @*/
930 int MatSNESMFSetFunctionError(Mat mat,PetscReal error)
931 {
932   MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data;
933 
934   PetscFunctionBegin;
935   if (error != PETSC_DEFAULT) ctx->error_rel = error;
936   PetscFunctionReturn(0);
937 }
938 
939 #undef __FUNCT__
940 #define __FUNCT__ "MatSNESMFAddNullSpace"
941 /*@
942    MatSNESMFAddNullSpace - Provides a null space that an operator is
943    supposed to have.  Since roundoff will create a small component in
944    the null space, if you know the null space you may have it
945    automatically removed.
946 
947    Collective on Mat
948 
949    Input Parameters:
950 +  J - the matrix-free matrix context
951 -  nullsp - object created with MatNullSpaceCreate()
952 
953    Level: advanced
954 
955 .keywords: SNES, matrix-free, null space
956 
957 .seealso: MatNullSpaceCreate(), MatSNESMFGetH(), MatCreateSNESMF(),
958           MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),
959           MatSNESMFKSPMonitor(), MatSNESMFErrorRel()
960 @*/
961 int MatSNESMFAddNullSpace(Mat J,MatNullSpace nullsp)
962 {
963   int          ierr;
964   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
965   MPI_Comm     comm;
966 
967   PetscFunctionBegin;
968   ierr = PetscObjectGetComm((PetscObject)J,&comm);CHKERRQ(ierr);
969 
970   ctx->sp = nullsp;
971   ierr    = PetscObjectReference((PetscObject)nullsp);CHKERRQ(ierr);
972   PetscFunctionReturn(0);
973 }
974 
975 #undef __FUNCT__
976 #define __FUNCT__ "MatSNESMFSetHHistory"
977 /*@
978    MatSNESMFSetHHistory - Sets an array to collect a history of the
979    differencing values (h) computed for the matrix-free product.
980 
981    Collective on Mat
982 
983    Input Parameters:
984 +  J - the matrix-free matrix context
985 .  histroy - space to hold the history
986 -  nhistory - number of entries in history, if more entries are generated than
987               nhistory, then the later ones are discarded
988 
989    Level: advanced
990 
991    Notes:
992    Use MatSNESMFResetHHistory() to reset the history counter and collect
993    a new batch of differencing parameters, h.
994 
995 .keywords: SNES, matrix-free, h history, differencing history
996 
997 .seealso: MatSNESMFGetH(), MatCreateSNESMF(),
998           MatSNESMFResetHHistory(),
999           MatSNESMFKSPMonitor(), MatSNESMFSetFunctionError()
1000 
1001 @*/
1002 int MatSNESMFSetHHistory(Mat J,PetscScalar history[],int nhistory)
1003 {
1004   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
1005 
1006   PetscFunctionBegin;
1007   ctx->historyh    = history;
1008   ctx->maxcurrenth = nhistory;
1009   ctx->currenth    = 0;
1010   PetscFunctionReturn(0);
1011 }
1012 
1013 #undef __FUNCT__
1014 #define __FUNCT__ "MatSNESMFResetHHistory"
1015 /*@
1016    MatSNESMFResetHHistory - Resets the counter to zero to begin
1017    collecting a new set of differencing histories.
1018 
1019    Collective on Mat
1020 
1021    Input Parameters:
1022 .  J - the matrix-free matrix context
1023 
1024    Level: advanced
1025 
1026    Notes:
1027    Use MatSNESMFSetHHistory() to create the original history counter.
1028 
1029 .keywords: SNES, matrix-free, h history, differencing history
1030 
1031 .seealso: MatSNESMFGetH(), MatCreateSNESMF(),
1032           MatSNESMFSetHHistory(),
1033           MatSNESMFKSPMonitor(), MatSNESMFSetFunctionError()
1034 
1035 @*/
1036 int MatSNESMFResetHHistory(Mat J)
1037 {
1038   MatSNESMFCtx ctx = (MatSNESMFCtx)J->data;
1039 
1040   PetscFunctionBegin;
1041   ctx->ncurrenth    = 0;
1042   PetscFunctionReturn(0);
1043 }
1044 
1045 #undef __FUNCT__
1046 #define __FUNCT__ "MatSNESMFComputeJacobian"
1047 int MatSNESMFComputeJacobian(SNES snes,Vec x,Mat *jac,Mat *B,MatStructure *flag,void *dummy)
1048 {
1049   int ierr;
1050   PetscFunctionBegin;
1051   ierr = MatAssemblyBegin(*jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
1052   ierr = MatAssemblyEnd(*jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
1053   PetscFunctionReturn(0);
1054 }
1055 
1056 #undef __FUNCT__
1057 #define __FUNCT__ "MatSNESMFSetBase"
1058 /*@
1059     MatSNESMFSetBase - Sets the vector U at which matrix vector products of the
1060         Jacobian are computed
1061 
1062     Collective on Mat
1063 
1064     Input Parameters:
1065 +   J - the MatSNESMF matrix
1066 -   U - the vector
1067 
1068     Notes: This is rarely used directly
1069 
1070     Level: advanced
1071 
1072 @*/
1073 int MatSNESMFSetBase(Mat J,Vec U)
1074 {
1075   int  ierr,(*f)(Mat,Vec);
1076 
1077   PetscFunctionBegin;
1078   PetscValidHeaderSpecific(J,MAT_COOKIE,1);
1079   PetscValidHeaderSpecific(U,VEC_COOKIE,2);
1080   ierr = PetscObjectQueryFunction((PetscObject)J,"MatSNESMFSetBase_C",(void (**)(void))&f);CHKERRQ(ierr);
1081   if (f) {
1082     ierr = (*f)(J,U);CHKERRQ(ierr);
1083   }
1084   PetscFunctionReturn(0);
1085 }
1086 
1087 #undef __FUNCT__
1088 #define __FUNCT__ "MatSNESMFSetCheckh"
1089 /*@C
1090     MatSNESMFSetCheckh - Sets a function that checks the computed h and adjusts
1091         it to satisfy some criteria
1092 
1093     Collective on Mat
1094 
1095     Input Parameters:
1096 +   J - the MatSNESMF matrix
1097 .   fun - the function that checks h
1098 -   ctx - any context needed by the function
1099 
1100     Options Database Keys:
1101 .   -snes_mf_check_positivity
1102 
1103     Level: advanced
1104 
1105     Notes: For example, MatSNESMFSetCheckPositivity() insures that all entries
1106        of U + h*a are non-negative
1107 
1108 .seealso:  MatSNESMFSetCheckPositivity()
1109 @*/
1110 int MatSNESMFSetCheckh(Mat J,int (*fun)(Vec,Vec,PetscScalar*,void*),void* ctx)
1111 {
1112   int  ierr,(*f)(Mat,int (*)(Vec,Vec,PetscScalar*,void*),void*);
1113 
1114   PetscFunctionBegin;
1115   PetscValidHeaderSpecific(J,MAT_COOKIE,1);
1116   ierr = PetscObjectQueryFunction((PetscObject)J,"MatSNESMFSetCheckh_C",(void (**)(void))&f);CHKERRQ(ierr);
1117   if (f) {
1118     ierr = (*f)(J,fun,ctx);CHKERRQ(ierr);
1119   }
1120   PetscFunctionReturn(0);
1121 }
1122 
1123 #undef __FUNCT__
1124 #define __FUNCT__ "MatSNESMFSetCheckPositivity"
1125 /*@
1126     MatSNESMFCheckPositivity - Checks that all entries in U + h*a are positive or
1127         zero, decreases h until this is satisfied.
1128 
1129     Collective on Vec
1130 
1131     Input Parameters:
1132 +   U - base vector that is added to
1133 .   a - vector that is added
1134 .   h - scaling factor on a
1135 -   dummy - context variable (unused)
1136 
1137     Options Database Keys:
1138 .   -snes_mf_check_positivity
1139 
1140     Level: advanced
1141 
1142     Notes: This is rarely used directly, rather it is passed as an argument to
1143            MatSNESMFSetCheckh()
1144 
1145 .seealso:  MatSNESMFSetCheckh()
1146 @*/
1147 int MatSNESMFCheckPositivity(Vec U,Vec a,PetscScalar *h,void *dummy)
1148 {
1149   PetscReal     val, minval;
1150   PetscScalar   *u_vec, *a_vec;
1151   int           ierr, i, size;
1152   MPI_Comm      comm;
1153 
1154   PetscFunctionBegin;
1155   ierr = PetscObjectGetComm((PetscObject)U,&comm);CHKERRQ(ierr);
1156   ierr = VecGetArray(U,&u_vec);CHKERRQ(ierr);
1157   ierr = VecGetArray(a,&a_vec);CHKERRQ(ierr);
1158   ierr = VecGetLocalSize(U,&size);CHKERRQ(ierr);
1159   minval = PetscAbsScalar(*h*1.01);
1160   for(i=0;i<size;i++) {
1161     if (PetscRealPart(u_vec[i] + *h*a_vec[i]) <= 0.0) {
1162       val = PetscAbsScalar(u_vec[i]/a_vec[i]);
1163       if (val < minval) minval = val;
1164     }
1165   }
1166   ierr = VecRestoreArray(U,&u_vec);CHKERRQ(ierr);
1167   ierr = VecRestoreArray(a,&a_vec);CHKERRQ(ierr);
1168   ierr = PetscGlobalMin(&minval,&val,comm);CHKERRQ(ierr);
1169   if (val <= PetscAbsScalar(*h)) {
1170     PetscLogInfo(U,"MatSNESMFCheckPositivity: Scaling back h from %g to %g\n",PetscRealPart(*h),.99*val);
1171     if (PetscRealPart(*h) > 0.0) *h =  0.99*val;
1172     else                         *h = -0.99*val;
1173   }
1174   PetscFunctionReturn(0);
1175 }
1176 
1177 
1178 
1179 
1180 
1181 
1182 
1183