1 /*$Id: snesmfj.c,v 1.131 2001/09/05 18:45:40 bsmith Exp $*/ 2 3 #include "src/mat/matimpl.h" 4 #include "src/snes/mf/snesmfj.h" /*I "petscsnes.h" I*/ 5 6 PetscFList MatSNESMPetscFList = 0; 7 PetscTruth MatSNESMFRegisterAllCalled = PETSC_FALSE; 8 9 #undef __FUNCT__ 10 #define __FUNCT__ "MatSNESMFSetType" 11 /*@C 12 MatSNESMFSetType - Sets the method that is used to compute the 13 differencing parameter for finite differene matrix-free formulations. 14 15 Input Parameters: 16 + mat - the "matrix-free" matrix created via MatCreateSNESMF(), or MatCreateMF() 17 or MatSetType(mat,MATMFFD); 18 - ftype - the type requested 19 20 Level: advanced 21 22 Notes: 23 For example, such routines can compute h for use in 24 Jacobian-vector products of the form 25 26 F(x+ha) - F(x) 27 F'(u)a ~= ---------------- 28 h 29 30 .seealso: MatCreateSNESMF(), MatSNESMFRegisterDynamic) 31 @*/ 32 int MatSNESMFSetType(Mat mat,MatSNESMFType ftype) 33 { 34 int ierr,(*r)(MatSNESMFCtx); 35 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 36 PetscTruth match; 37 38 PetscFunctionBegin; 39 PetscValidHeaderSpecific(mat,MAT_COOKIE); 40 PetscValidCharPointer(ftype); 41 42 /* already set, so just return */ 43 ierr = PetscTypeCompare((PetscObject)ctx,ftype,&match);CHKERRQ(ierr); 44 if (match) PetscFunctionReturn(0); 45 46 /* destroy the old one if it exists */ 47 if (ctx->ops->destroy) { 48 ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr); 49 } 50 51 /* Get the function pointers for the requrested method */ 52 if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);} 53 54 ierr = PetscFListFind(ctx->comm,MatSNESMPetscFList,ftype,(void (**)(void)) &r);CHKERRQ(ierr); 55 56 if (!r) SETERRQ(1,"Unknown MatSNESMF type given"); 57 58 ierr = (*r)(ctx);CHKERRQ(ierr); 59 60 ierr = PetscObjectChangeTypeName((PetscObject)ctx,ftype);CHKERRQ(ierr); 61 62 PetscFunctionReturn(0); 63 } 64 65 EXTERN_C_BEGIN 66 #undef __FUNCT__ 67 #define __FUNCT__ "MatSNESMFSetFunctioniBase_FD" 68 int MatSNESMFSetFunctioniBase_FD(Mat mat,int (*func)(Vec,void *)) 69 { 70 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 71 72 PetscFunctionBegin; 73 ctx->funcisetbase = func; 74 PetscFunctionReturn(0); 75 } 76 EXTERN_C_END 77 78 EXTERN_C_BEGIN 79 #undef __FUNCT__ 80 #define __FUNCT__ "MatSNESMFSetFunctioni_FD" 81 int MatSNESMFSetFunctioni_FD(Mat mat,int (*funci)(int,Vec,PetscScalar*,void *)) 82 { 83 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 84 85 PetscFunctionBegin; 86 ctx->funci = funci; 87 PetscFunctionReturn(0); 88 } 89 EXTERN_C_END 90 91 92 #undef __FUNCT__ 93 #define __FUNCT__ "MatSNESMFRegister" 94 int MatSNESMFRegister(const char sname[],const char path[],const char name[],int (*function)(MatSNESMFCtx)) 95 { 96 int ierr; 97 char fullname[256]; 98 99 PetscFunctionBegin; 100 ierr = PetscFListConcat(path,name,fullname);CHKERRQ(ierr); 101 ierr = PetscFListAdd(&MatSNESMPetscFList,sname,fullname,(void (*)(void))function);CHKERRQ(ierr); 102 PetscFunctionReturn(0); 103 } 104 105 106 #undef __FUNCT__ 107 #define __FUNCT__ "MatSNESMFRegisterDestroy" 108 /*@C 109 MatSNESMFRegisterDestroy - Frees the list of MatSNESMF methods that were 110 registered by MatSNESMFRegisterDynamic). 111 112 Not Collective 113 114 Level: developer 115 116 .keywords: MatSNESMF, register, destroy 117 118 .seealso: MatSNESMFRegisterDynamic), MatSNESMFRegisterAll() 119 @*/ 120 int MatSNESMFRegisterDestroy(void) 121 { 122 int ierr; 123 124 PetscFunctionBegin; 125 if (MatSNESMPetscFList) { 126 ierr = PetscFListDestroy(&MatSNESMPetscFList);CHKERRQ(ierr); 127 MatSNESMPetscFList = 0; 128 } 129 MatSNESMFRegisterAllCalled = PETSC_FALSE; 130 PetscFunctionReturn(0); 131 } 132 133 /* ----------------------------------------------------------------------------------------*/ 134 #undef __FUNCT__ 135 #define __FUNCT__ "MatDestroy_MFFD" 136 int MatDestroy_MFFD(Mat mat) 137 { 138 int ierr; 139 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 140 141 PetscFunctionBegin; 142 if (ctx->w != PETSC_NULL) { 143 ierr = VecDestroy(ctx->w);CHKERRQ(ierr); 144 } 145 if (ctx->ops->destroy) {ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr);} 146 if (ctx->sp) {ierr = MatNullSpaceDestroy(ctx->sp);CHKERRQ(ierr);} 147 PetscHeaderDestroy(ctx); 148 PetscFunctionReturn(0); 149 } 150 151 #undef __FUNCT__ 152 #define __FUNCT__ "MatView_MFFD" 153 /* 154 MatSNESMFView_MFFD - Views matrix-free parameters. 155 156 */ 157 int MatView_MFFD(Mat J,PetscViewer viewer) 158 { 159 int ierr; 160 MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; 161 PetscTruth isascii; 162 163 PetscFunctionBegin; 164 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&isascii);CHKERRQ(ierr); 165 if (isascii) { 166 ierr = PetscViewerASCIIPrintf(viewer," SNES matrix-free approximation:\n");CHKERRQ(ierr); 167 ierr = PetscViewerASCIIPrintf(viewer," err=%g (relative error in function evaluation)\n",ctx->error_rel);CHKERRQ(ierr); 168 if (!ctx->type_name) { 169 ierr = PetscViewerASCIIPrintf(viewer," The compute h routine has not yet been set\n");CHKERRQ(ierr); 170 } else { 171 ierr = PetscViewerASCIIPrintf(viewer," Using %s compute h routine\n",ctx->type_name);CHKERRQ(ierr); 172 } 173 if (ctx->ops->view) { 174 ierr = (*ctx->ops->view)(ctx,viewer);CHKERRQ(ierr); 175 } 176 } else { 177 SETERRQ1(1,"Viewer type %s not supported for SNES matrix free matrix",((PetscObject)viewer)->type_name); 178 } 179 PetscFunctionReturn(0); 180 } 181 182 #undef __FUNCT__ 183 #define __FUNCT__ "MatAssemblyEnd_MFFD" 184 /* 185 MatSNESMFAssemblyEnd_Private - Resets the ctx->ncurrenth to zero. This 186 allows the user to indicate the beginning of a new linear solve by calling 187 MatAssemblyXXX() on the matrix free matrix. This then allows the 188 MatSNESMFCreate_WP() to properly compute ||U|| only the first time 189 in the linear solver rather than every time. 190 */ 191 int MatAssemblyEnd_MFFD(Mat J,MatAssemblyType mt) 192 { 193 int ierr; 194 MatSNESMFCtx j = (MatSNESMFCtx)J->data; 195 196 PetscFunctionBegin; 197 ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr); 198 if (j->usesnes) { 199 ierr = SNESGetSolution(j->snes,&j->current_u);CHKERRQ(ierr); 200 ierr = SNESGetFunction(j->snes,&j->current_f,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); 201 if (j->w == PETSC_NULL) { 202 ierr = VecDuplicate(j->current_u, &j->w);CHKERRQ(ierr); 203 } 204 } 205 j->vshift = 0.0; 206 j->vscale = 1.0; 207 PetscFunctionReturn(0); 208 } 209 210 #undef __FUNCT__ 211 #define __FUNCT__ "MatMult_MFFD" 212 /* 213 MatMult_MFFD - Default matrix-free form for Jacobian-vector product, y = F'(u)*a: 214 215 y ~= (F(u + ha) - F(u))/h, 216 where F = nonlinear function, as set by SNESSetFunction() 217 u = current iterate 218 h = difference interval 219 */ 220 int MatMult_MFFD(Mat mat,Vec a,Vec y) 221 { 222 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 223 SNES snes; 224 PetscScalar h,mone = -1.0; 225 Vec w,U,F; 226 int ierr,(*eval_fct)(SNES,Vec,Vec)=0; 227 228 PetscFunctionBegin; 229 /* We log matrix-free matrix-vector products separately, so that we can 230 separate the performance monitoring from the cases that use conventional 231 storage. We may eventually modify event logging to associate events 232 with particular objects, hence alleviating the more general problem. */ 233 ierr = PetscLogEventBegin(MAT_MultMatrixFree,a,y,0,0);CHKERRQ(ierr); 234 235 snes = ctx->snes; 236 w = ctx->w; 237 U = ctx->current_u; 238 239 /* 240 Compute differencing parameter 241 */ 242 if (!ctx->ops->compute) { 243 ierr = MatSNESMFSetType(mat,MATSNESMF_WP);CHKERRQ(ierr); 244 ierr = MatSNESMFSetFromOptions(mat);CHKERRQ(ierr); 245 } 246 ierr = (*ctx->ops->compute)(ctx,U,a,&h);CHKERRQ(ierr); 247 248 if (ctx->checkh) { 249 ierr = (*ctx->checkh)(U,a,&h,ctx->checkhctx);CHKERRQ(ierr); 250 } 251 252 /* keep a record of the current differencing parameter h */ 253 ctx->currenth = h; 254 #if defined(PETSC_USE_COMPLEX) 255 PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %g + %g i\n",PetscRealPart(h),PetscImaginaryPart(h)); 256 #else 257 PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %15.12e\n",h); 258 #endif 259 if (ctx->historyh && ctx->ncurrenth < ctx->maxcurrenth) { 260 ctx->historyh[ctx->ncurrenth] = h; 261 } 262 ctx->ncurrenth++; 263 264 /* w = u + ha */ 265 ierr = VecWAXPY(&h,a,U,w);CHKERRQ(ierr); 266 267 if (ctx->usesnes) { 268 eval_fct = SNESComputeFunction; 269 F = ctx->current_f; 270 if (!F) SETERRQ(1,"You must call MatAssembly() even on matrix-free matrices"); 271 ierr = (*eval_fct)(snes,w,y);CHKERRQ(ierr); 272 } else { 273 F = ctx->funcvec; 274 /* compute func(U) as base for differencing */ 275 if (ctx->ncurrenth == 1) { 276 ierr = (*ctx->func)(snes,U,F,ctx->funcctx);CHKERRQ(ierr); 277 } 278 ierr = (*ctx->func)(snes,w,y,ctx->funcctx);CHKERRQ(ierr); 279 } 280 281 ierr = VecAXPY(&mone,F,y);CHKERRQ(ierr); 282 h = 1.0/h; 283 ierr = VecScale(&h,y);CHKERRQ(ierr); 284 285 286 if (ctx->vshift != 0.0 && ctx->vscale != 1.0) { 287 ierr = VecAXPBY(&ctx->vshift,&ctx->vscale,a,y);CHKERRQ(ierr); 288 } else if (ctx->vscale != 1.0) { 289 ierr = VecScale(&ctx->vscale,y);CHKERRQ(ierr); 290 } else if (ctx->vshift != 0.0) { 291 ierr = VecAXPY(&ctx->vshift,a,y);CHKERRQ(ierr); 292 } 293 294 if (ctx->sp) {ierr = MatNullSpaceRemove(ctx->sp,y,PETSC_NULL);CHKERRQ(ierr);} 295 296 ierr = PetscLogEventEnd(MAT_MultMatrixFree,a,y,0,0);CHKERRQ(ierr); 297 PetscFunctionReturn(0); 298 } 299 300 #undef __FUNCT__ 301 #define __FUNCT__ "MatGetDiagonal_MFFD" 302 /* 303 MatGetDiagonal_MFFD - Gets the diagonal for a matrix free matrix 304 305 y ~= (F(u + ha) - F(u))/h, 306 where F = nonlinear function, as set by SNESSetFunction() 307 u = current iterate 308 h = difference interval 309 */ 310 int MatGetDiagonal_MFFD(Mat mat,Vec a) 311 { 312 MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; 313 PetscScalar h,*aa,*ww,v; 314 PetscReal epsilon = PETSC_SQRT_MACHINE_EPSILON,umin = 100.0*PETSC_SQRT_MACHINE_EPSILON; 315 Vec w,U; 316 int i,ierr,rstart,rend; 317 318 PetscFunctionBegin; 319 if (!ctx->funci) { 320 SETERRQ(1,"Requirers calling MatSNESMFSetFunctioni() first"); 321 } 322 323 w = ctx->w; 324 U = ctx->current_u; 325 ierr = (*ctx->func)(0,U,a,ctx->funcctx);CHKERRQ(ierr); 326 ierr = (*ctx->funcisetbase)(U,ctx->funcctx);CHKERRQ(ierr); 327 ierr = VecCopy(U,w);CHKERRQ(ierr); 328 329 ierr = VecGetOwnershipRange(a,&rstart,&rend);CHKERRQ(ierr); 330 ierr = VecGetArray(a,&aa);CHKERRQ(ierr); 331 for (i=rstart; i<rend; i++) { 332 ierr = VecGetArray(w,&ww);CHKERRQ(ierr); 333 h = ww[i-rstart]; 334 if (h == 0.0) h = 1.0; 335 #if !defined(PETSC_USE_COMPLEX) 336 if (h < umin && h >= 0.0) h = umin; 337 else if (h < 0.0 && h > -umin) h = -umin; 338 #else 339 if (PetscAbsScalar(h) < umin && PetscRealPart(h) >= 0.0) h = umin; 340 else if (PetscRealPart(h) < 0.0 && PetscAbsScalar(h) < umin) h = -umin; 341 #endif 342 h *= epsilon; 343 344 ww[i-rstart] += h; 345 ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr); 346 ierr = (*ctx->funci)(i,w,&v,ctx->funcctx);CHKERRQ(ierr); 347 aa[i-rstart] = (v - aa[i-rstart])/h; 348 349 /* possibly shift and scale result */ 350 aa[i - rstart] = ctx->vshift + ctx->vscale*aa[i-rstart]; 351 352 ierr = VecGetArray(w,&ww);CHKERRQ(ierr); 353 ww[i-rstart] -= h; 354 ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr); 355 } 356 ierr = VecRestoreArray(a,&aa);CHKERRQ(ierr); 357 PetscFunctionReturn(0); 358 } 359 360 #undef __FUNCT__ 361 #define __FUNCT__ "MatShift_MFFD" 362 int MatShift_MFFD(const PetscScalar *a,Mat Y) 363 { 364 MatSNESMFCtx shell = (MatSNESMFCtx)Y->data; 365 PetscFunctionBegin; 366 shell->vshift += *a; 367 PetscFunctionReturn(0); 368 } 369 370 #undef __FUNCT__ 371 #define __FUNCT__ "MatScale_MFFD" 372 int MatScale_MFFD(const PetscScalar *a,Mat Y) 373 { 374 MatSNESMFCtx shell = (MatSNESMFCtx)Y->data; 375 PetscFunctionBegin; 376 shell->vscale *= *a; 377 PetscFunctionReturn(0); 378 } 379 380 381 #undef __FUNCT__ 382 #define __FUNCT__ "MatCreateSNESMF" 383 /*@C 384 MatCreateSNESMF - Creates a matrix-free matrix context for use with 385 a SNES solver. This matrix can be used as the Jacobian argument for 386 the routine SNESSetJacobian(). 387 388 Collective on SNES and Vec 389 390 Input Parameters: 391 + snes - the SNES context 392 - x - vector where SNES solution is to be stored. 393 394 Output Parameter: 395 . J - the matrix-free matrix 396 397 Level: advanced 398 399 Notes: 400 The matrix-free matrix context merely contains the function pointers 401 and work space for performing finite difference approximations of 402 Jacobian-vector products, F'(u)*a, 403 404 The default code uses the following approach to compute h 405 406 .vb 407 F'(u)*a = [F(u+h*a) - F(u)]/h where 408 h = error_rel*u'a/||a||^2 if |u'a| > umin*||a||_{1} 409 = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2 otherwise 410 where 411 error_rel = square root of relative error in function evaluation 412 umin = minimum iterate parameter 413 .ve 414 415 The user can set the error_rel via MatSNESMFSetFunctionError() and 416 umin via MatSNESMFDefaultSetUmin(); see the nonlinear solvers chapter 417 of the users manual for details. 418 419 The user should call MatDestroy() when finished with the matrix-free 420 matrix context. 421 422 Options Database Keys: 423 + -snes_mf_err <error_rel> - Sets error_rel 424 . -snes_mf_unim <umin> - Sets umin (for default PETSc routine that computes h only) 425 - -snes_mf_ksp_monitor - KSP monitor routine that prints differencing h 426 427 .keywords: SNES, default, matrix-free, create, matrix 428 429 .seealso: MatDestroy(), MatSNESMFSetFunctionError(), MatSNESMFDefaultSetUmin() 430 MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatCreateMF(), 431 MatSNESMFGetH(),MatSNESMFKSPMonitor(), MatSNESMFRegisterDynamic), MatSNESMFComputeJacobian() 432 433 @*/ 434 int MatCreateSNESMF(SNES snes,Vec x,Mat *J) 435 { 436 MatSNESMFCtx mfctx; 437 int ierr; 438 439 PetscFunctionBegin; 440 ierr = MatCreateMF(x,J);CHKERRQ(ierr); 441 442 mfctx = (MatSNESMFCtx)(*J)->data; 443 mfctx->snes = snes; 444 mfctx->usesnes = PETSC_TRUE; 445 PetscLogObjectParent(snes,*J); 446 PetscFunctionReturn(0); 447 } 448 449 EXTERN_C_BEGIN 450 #undef __FUNCT__ 451 #define __FUNCT__ "MatSNESMFSetBase_FD" 452 int MatSNESMFSetBase_FD(Mat J,Vec U) 453 { 454 int ierr; 455 MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; 456 457 PetscFunctionBegin; 458 ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr); 459 ctx->current_u = U; 460 ctx->usesnes = PETSC_FALSE; 461 if (ctx->w == PETSC_NULL) { 462 ierr = VecDuplicate(ctx->current_u, &ctx->w);CHKERRQ(ierr); 463 } 464 PetscFunctionReturn(0); 465 } 466 EXTERN_C_END 467 468 EXTERN_C_BEGIN 469 #undef __FUNCT__ 470 #define __FUNCT__ "MatSNESMFSetCheckh_FD" 471 int MatSNESMFSetCheckh_FD(Mat J,int (*fun)(Vec,Vec,PetscScalar*,void*),void*ectx) 472 { 473 MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; 474 475 PetscFunctionBegin; 476 ctx->checkh = fun; 477 ctx->checkhctx = ectx; 478 PetscFunctionReturn(0); 479 } 480 EXTERN_C_END 481 482 #undef __FUNCT__ 483 #define __FUNCT__ "MatSNESMFSetFromOptions" 484 /*@ 485 MatSNESMFSetFromOptions - Sets the MatSNESMF options from the command line 486 parameter. 487 488 Collective on Mat 489 490 Input Parameters: 491 . mat - the matrix obtained with MatCreateSNESMF() 492 493 Options Database Keys: 494 + -snes_mf_type - <default,wp> 495 - -snes_mf_err - square root of estimated relative error in function evaluation 496 - -snes_mf_period - how often h is recomputed, defaults to 1, everytime 497 498 Level: advanced 499 500 .keywords: SNES, matrix-free, parameters 501 502 .seealso: MatCreateSNESMF(),MatSNESMFSetHHistory(), 503 MatSNESMFResetHHistory(), MatSNESMFKSPMonitor() 504 @*/ 505 int MatSNESMFSetFromOptions(Mat mat) 506 { 507 MatSNESMFCtx mfctx = (MatSNESMFCtx)mat->data; 508 int ierr; 509 PetscTruth flg; 510 char ftype[256]; 511 512 PetscFunctionBegin; 513 if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);} 514 515 ierr = PetscOptionsBegin(mfctx->comm,mfctx->prefix,"Set matrix free computation parameters","MatSNESMF");CHKERRQ(ierr); 516 ierr = PetscOptionsList("-snes_mf_type","Matrix free type","MatSNESMFSetType",MatSNESMPetscFList,mfctx->type_name,ftype,256,&flg);CHKERRQ(ierr); 517 if (flg) { 518 ierr = MatSNESMFSetType(mat,ftype);CHKERRQ(ierr); 519 } 520 521 ierr = PetscOptionsReal("-snes_mf_err","set sqrt relative error in function","MatSNESMFSetFunctionError",mfctx->error_rel,&mfctx->error_rel,0);CHKERRQ(ierr); 522 ierr = PetscOptionsInt("-snes_mf_period","how often h is recomputed","MatSNESMFSetPeriod",mfctx->recomputeperiod,&mfctx->recomputeperiod,0);CHKERRQ(ierr); 523 if (mfctx->snes) { 524 ierr = PetscOptionsName("-snes_mf_ksp_monitor","Monitor matrix-free parameters","MatSNESMFKSPMonitor",&flg);CHKERRQ(ierr); 525 if (flg) { 526 KSP ksp; 527 ierr = SNESGetKSP(mfctx->snes,&ksp);CHKERRQ(ierr); 528 ierr = KSPSetMonitor(ksp,MatSNESMFKSPMonitor,PETSC_NULL,0);CHKERRQ(ierr); 529 } 530 } 531 ierr = PetscOptionsName("-snes_mf_check_positivity","Insure that U + h*a is nonnegative","MatSNESMFSetCheckh",&flg);CHKERRQ(ierr); 532 if (flg) { 533 ierr = MatSNESMFSetCheckh(mat,MatSNESMFCheckPositivity,0);CHKERRQ(ierr); 534 } 535 if (mfctx->ops->setfromoptions) { 536 ierr = (*mfctx->ops->setfromoptions)(mfctx);CHKERRQ(ierr); 537 } 538 ierr = PetscOptionsEnd();CHKERRQ(ierr); 539 PetscFunctionReturn(0); 540 } 541 542 /*MC 543 MATMFFD - MATMFFD = "mffd" - A matrix free matrix type. 544 545 Level: advanced 546 547 .seealso: MatCreateMF, MatCreateSNESMF 548 M*/ 549 550 #undef __FUNCT__ 551 #define __FUNCT__ "MatCreate_MFFD" 552 EXTERN_C_BEGIN 553 int MatCreate_MFFD(Mat A) 554 { 555 MatSNESMFCtx mfctx; 556 int ierr; 557 558 PetscFunctionBegin; 559 #ifndef PETSC_USE_DYNAMIC_LIBRARIES 560 ierr = SNESInitializePackage(PETSC_NULL); CHKERRQ(ierr); 561 #endif 562 563 PetscHeaderCreate(mfctx,_p_MatSNESMFCtx,struct _MFOps,MATSNESMFCTX_COOKIE,0,"SNESMF",A->comm,MatDestroy_MFFD,MatView_MFFD); 564 PetscLogObjectCreate(mfctx); 565 mfctx->sp = 0; 566 mfctx->snes = 0; 567 mfctx->error_rel = PETSC_SQRT_MACHINE_EPSILON; 568 mfctx->recomputeperiod = 1; 569 mfctx->count = 0; 570 mfctx->currenth = 0.0; 571 mfctx->historyh = PETSC_NULL; 572 mfctx->ncurrenth = 0; 573 mfctx->maxcurrenth = 0; 574 mfctx->type_name = 0; 575 mfctx->usesnes = PETSC_FALSE; 576 577 mfctx->vshift = 0.0; 578 mfctx->vscale = 1.0; 579 580 /* 581 Create the empty data structure to contain compute-h routines. 582 These will be filled in below from the command line options or 583 a later call with MatSNESMFSetType() or if that is not called 584 then it will default in the first use of MatMult_MFFD() 585 */ 586 mfctx->ops->compute = 0; 587 mfctx->ops->destroy = 0; 588 mfctx->ops->view = 0; 589 mfctx->ops->setfromoptions = 0; 590 mfctx->hctx = 0; 591 592 mfctx->func = 0; 593 mfctx->funcctx = 0; 594 mfctx->funcvec = 0; 595 mfctx->w = PETSC_NULL; 596 597 A->data = mfctx; 598 599 A->ops->mult = MatMult_MFFD; 600 A->ops->destroy = MatDestroy_MFFD; 601 A->ops->view = MatView_MFFD; 602 A->ops->assemblyend = MatAssemblyEnd_MFFD; 603 A->ops->getdiagonal = MatGetDiagonal_MFFD; 604 A->ops->scale = MatScale_MFFD; 605 A->ops->shift = MatShift_MFFD; 606 A->ops->setfromoptions = MatSNESMFSetFromOptions; 607 608 ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetBase_C","MatSNESMFSetBase_FD",MatSNESMFSetBase_FD);CHKERRQ(ierr); 609 ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioniBase_C","MatSNESMFSetFunctioniBase_FD",MatSNESMFSetFunctioniBase_FD);CHKERRQ(ierr); 610 ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioni_C","MatSNESMFSetFunctioni_FD",MatSNESMFSetFunctioni_FD);CHKERRQ(ierr); 611 ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetCheckh_C","MatSNESMFSetCheckh_FD",MatSNESMFSetCheckh_FD);CHKERRQ(ierr); 612 mfctx->mat = A; 613 614 PetscFunctionReturn(0); 615 } 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 = MatRegister(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); 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); 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); 1079 PetscValidHeaderSpecific(U,VEC_COOKIE); 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); 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