1 2 /* 3 The PC (preconditioner) interface routines, callable by users. 4 */ 5 #include <petsc/private/pcimpl.h> /*I "petscksp.h" I*/ 6 #include <petscdm.h> 7 8 /* Logging support */ 9 PetscClassId PC_CLASSID; 10 PetscLogEvent PC_SetUp, PC_SetUpOnBlocks, PC_Apply, PC_MatApply, PC_ApplyCoarse, PC_ApplyMultiple, PC_ApplySymmetricLeft; 11 PetscLogEvent PC_ApplySymmetricRight, PC_ModifySubMatrices, PC_ApplyOnBlocks, PC_ApplyTransposeOnBlocks; 12 PetscInt PetscMGLevelId; 13 14 PetscErrorCode PCGetDefaultType_Private(PC pc,const char *type[]) 15 { 16 PetscErrorCode ierr; 17 PetscMPIInt size; 18 PetscBool hasop,flg1,flg2,set,flg3; 19 20 PetscFunctionBegin; 21 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)pc),&size);CHKERRQ(ierr); 22 if (pc->pmat) { 23 ierr = MatHasOperation(pc->pmat,MATOP_GET_DIAGONAL_BLOCK,&hasop);CHKERRQ(ierr); 24 if (size == 1) { 25 ierr = MatGetFactorAvailable(pc->pmat,"petsc",MAT_FACTOR_ICC,&flg1);CHKERRQ(ierr); 26 ierr = MatGetFactorAvailable(pc->pmat,"petsc",MAT_FACTOR_ILU,&flg2);CHKERRQ(ierr); 27 ierr = MatIsSymmetricKnown(pc->pmat,&set,&flg3);CHKERRQ(ierr); 28 if (flg1 && (!flg2 || (set && flg3))) { 29 *type = PCICC; 30 } else if (flg2) { 31 *type = PCILU; 32 } else if (hasop) { /* likely is a parallel matrix run on one processor */ 33 *type = PCBJACOBI; 34 } else { 35 *type = PCNONE; 36 } 37 } else { 38 if (hasop) { 39 *type = PCBJACOBI; 40 } else { 41 *type = PCNONE; 42 } 43 } 44 } else { 45 if (size == 1) { 46 *type = PCILU; 47 } else { 48 *type = PCBJACOBI; 49 } 50 } 51 PetscFunctionReturn(0); 52 } 53 54 /*@ 55 PCReset - Resets a PC context to the pcsetupcalled = 0 state and removes any allocated Vecs and Mats 56 57 Collective on PC 58 59 Input Parameter: 60 . pc - the preconditioner context 61 62 Level: developer 63 64 Notes: 65 This allows a PC to be reused for a different sized linear system but using the same options that have been previously set in the PC 66 67 .seealso: PCCreate(), PCSetUp() 68 @*/ 69 PetscErrorCode PCReset(PC pc) 70 { 71 PetscErrorCode ierr; 72 73 PetscFunctionBegin; 74 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 75 if (pc->ops->reset) { 76 ierr = (*pc->ops->reset)(pc);CHKERRQ(ierr); 77 } 78 ierr = VecDestroy(&pc->diagonalscaleright);CHKERRQ(ierr); 79 ierr = VecDestroy(&pc->diagonalscaleleft);CHKERRQ(ierr); 80 ierr = MatDestroy(&pc->pmat);CHKERRQ(ierr); 81 ierr = MatDestroy(&pc->mat);CHKERRQ(ierr); 82 83 pc->setupcalled = 0; 84 PetscFunctionReturn(0); 85 } 86 87 /*@ 88 PCDestroy - Destroys PC context that was created with PCCreate(). 89 90 Collective on PC 91 92 Input Parameter: 93 . pc - the preconditioner context 94 95 Level: developer 96 97 .seealso: PCCreate(), PCSetUp() 98 @*/ 99 PetscErrorCode PCDestroy(PC *pc) 100 { 101 PetscErrorCode ierr; 102 103 PetscFunctionBegin; 104 if (!*pc) PetscFunctionReturn(0); 105 PetscValidHeaderSpecific((*pc),PC_CLASSID,1); 106 if (--((PetscObject)(*pc))->refct > 0) {*pc = NULL; PetscFunctionReturn(0);} 107 108 ierr = PCReset(*pc);CHKERRQ(ierr); 109 110 /* if memory was published with SAWs then destroy it */ 111 ierr = PetscObjectSAWsViewOff((PetscObject)*pc);CHKERRQ(ierr); 112 if ((*pc)->ops->destroy) {ierr = (*(*pc)->ops->destroy)((*pc));CHKERRQ(ierr);} 113 ierr = DMDestroy(&(*pc)->dm);CHKERRQ(ierr); 114 ierr = PetscHeaderDestroy(pc);CHKERRQ(ierr); 115 PetscFunctionReturn(0); 116 } 117 118 /*@C 119 PCGetDiagonalScale - Indicates if the preconditioner applies an additional left and right 120 scaling as needed by certain time-stepping codes. 121 122 Logically Collective on PC 123 124 Input Parameter: 125 . pc - the preconditioner context 126 127 Output Parameter: 128 . flag - PETSC_TRUE if it applies the scaling 129 130 Level: developer 131 132 Notes: 133 If this returns PETSC_TRUE then the system solved via the Krylov method is 134 $ D M A D^{-1} y = D M b for left preconditioning or 135 $ D A M D^{-1} z = D b for right preconditioning 136 137 .seealso: PCCreate(), PCSetUp(), PCDiagonalScaleLeft(), PCDiagonalScaleRight(), PCSetDiagonalScale() 138 @*/ 139 PetscErrorCode PCGetDiagonalScale(PC pc,PetscBool *flag) 140 { 141 PetscFunctionBegin; 142 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 143 PetscValidBoolPointer(flag,2); 144 *flag = pc->diagonalscale; 145 PetscFunctionReturn(0); 146 } 147 148 /*@ 149 PCSetDiagonalScale - Indicates the left scaling to use to apply an additional left and right 150 scaling as needed by certain time-stepping codes. 151 152 Logically Collective on PC 153 154 Input Parameters: 155 + pc - the preconditioner context 156 - s - scaling vector 157 158 Level: intermediate 159 160 Notes: 161 The system solved via the Krylov method is 162 $ D M A D^{-1} y = D M b for left preconditioning or 163 $ D A M D^{-1} z = D b for right preconditioning 164 165 PCDiagonalScaleLeft() scales a vector by D. PCDiagonalScaleRight() scales a vector by D^{-1}. 166 167 .seealso: PCCreate(), PCSetUp(), PCDiagonalScaleLeft(), PCDiagonalScaleRight(), PCGetDiagonalScale() 168 @*/ 169 PetscErrorCode PCSetDiagonalScale(PC pc,Vec s) 170 { 171 PetscErrorCode ierr; 172 173 PetscFunctionBegin; 174 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 175 PetscValidHeaderSpecific(s,VEC_CLASSID,2); 176 pc->diagonalscale = PETSC_TRUE; 177 178 ierr = PetscObjectReference((PetscObject)s);CHKERRQ(ierr); 179 ierr = VecDestroy(&pc->diagonalscaleleft);CHKERRQ(ierr); 180 181 pc->diagonalscaleleft = s; 182 183 ierr = VecDuplicate(s,&pc->diagonalscaleright);CHKERRQ(ierr); 184 ierr = VecCopy(s,pc->diagonalscaleright);CHKERRQ(ierr); 185 ierr = VecReciprocal(pc->diagonalscaleright);CHKERRQ(ierr); 186 PetscFunctionReturn(0); 187 } 188 189 /*@ 190 PCDiagonalScaleLeft - Scales a vector by the left scaling as needed by certain time-stepping codes. 191 192 Logically Collective on PC 193 194 Input Parameters: 195 + pc - the preconditioner context 196 . in - input vector 197 - out - scaled vector (maybe the same as in) 198 199 Level: intermediate 200 201 Notes: 202 The system solved via the Krylov method is 203 $ D M A D^{-1} y = D M b for left preconditioning or 204 $ D A M D^{-1} z = D b for right preconditioning 205 206 PCDiagonalScaleLeft() scales a vector by D. PCDiagonalScaleRight() scales a vector by D^{-1}. 207 208 If diagonal scaling is turned off and in is not out then in is copied to out 209 210 .seealso: PCCreate(), PCSetUp(), PCDiagonalScaleSet(), PCDiagonalScaleRight(), PCDiagonalScale() 211 @*/ 212 PetscErrorCode PCDiagonalScaleLeft(PC pc,Vec in,Vec out) 213 { 214 PetscErrorCode ierr; 215 216 PetscFunctionBegin; 217 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 218 PetscValidHeaderSpecific(in,VEC_CLASSID,2); 219 PetscValidHeaderSpecific(out,VEC_CLASSID,3); 220 if (pc->diagonalscale) { 221 ierr = VecPointwiseMult(out,pc->diagonalscaleleft,in);CHKERRQ(ierr); 222 } else if (in != out) { 223 ierr = VecCopy(in,out);CHKERRQ(ierr); 224 } 225 PetscFunctionReturn(0); 226 } 227 228 /*@ 229 PCDiagonalScaleRight - Scales a vector by the right scaling as needed by certain time-stepping codes. 230 231 Logically Collective on PC 232 233 Input Parameters: 234 + pc - the preconditioner context 235 . in - input vector 236 - out - scaled vector (maybe the same as in) 237 238 Level: intermediate 239 240 Notes: 241 The system solved via the Krylov method is 242 $ D M A D^{-1} y = D M b for left preconditioning or 243 $ D A M D^{-1} z = D b for right preconditioning 244 245 PCDiagonalScaleLeft() scales a vector by D. PCDiagonalScaleRight() scales a vector by D^{-1}. 246 247 If diagonal scaling is turned off and in is not out then in is copied to out 248 249 .seealso: PCCreate(), PCSetUp(), PCDiagonalScaleLeft(), PCDiagonalScaleSet(), PCDiagonalScale() 250 @*/ 251 PetscErrorCode PCDiagonalScaleRight(PC pc,Vec in,Vec out) 252 { 253 PetscErrorCode ierr; 254 255 PetscFunctionBegin; 256 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 257 PetscValidHeaderSpecific(in,VEC_CLASSID,2); 258 PetscValidHeaderSpecific(out,VEC_CLASSID,3); 259 if (pc->diagonalscale) { 260 ierr = VecPointwiseMult(out,pc->diagonalscaleright,in);CHKERRQ(ierr); 261 } else if (in != out) { 262 ierr = VecCopy(in,out);CHKERRQ(ierr); 263 } 264 PetscFunctionReturn(0); 265 } 266 267 /*@ 268 PCSetUseAmat - Sets a flag to indicate that when the preconditioner needs to apply (part of) the 269 operator during the preconditioning process it applies the Amat provided to TSSetRHSJacobian(), 270 TSSetIJacobian(), SNESSetJacobian(), KSPSetOperator() or PCSetOperator() not the Pmat. 271 272 Logically Collective on PC 273 274 Input Parameters: 275 + pc - the preconditioner context 276 - flg - PETSC_TRUE to use the Amat, PETSC_FALSE to use the Pmat (default is false) 277 278 Options Database Key: 279 . -pc_use_amat <true,false> 280 281 Notes: 282 For the common case in which the linear system matrix and the matrix used to construct the 283 preconditioner are identical, this routine is does nothing. 284 285 Level: intermediate 286 287 .seealso: PCGetUseAmat(), PCBJACOBI, PGMG, PCFIELDSPLIT, PCCOMPOSITE 288 @*/ 289 PetscErrorCode PCSetUseAmat(PC pc,PetscBool flg) 290 { 291 PetscFunctionBegin; 292 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 293 pc->useAmat = flg; 294 PetscFunctionReturn(0); 295 } 296 297 /*@ 298 PCSetErrorIfFailure - Causes PC to generate an error if a FPE, for example a zero pivot, is detected. 299 300 Logically Collective on PC 301 302 Input Parameters: 303 + pc - iterative context obtained from PCCreate() 304 - flg - PETSC_TRUE indicates you want the error generated 305 306 Level: advanced 307 308 Notes: 309 Normally PETSc continues if a linear solver fails due to a failed setup of a preconditioner, you can call KSPGetConvergedReason() after a KSPSolve() 310 to determine if it has converged or failed. Or use -ksp_error_if_not_converged to cause the program to terminate as soon as lack of convergence is 311 detected. 312 313 This is propagated into KSPs used by this PC, which then propagate it into PCs used by those KSPs 314 315 .seealso: PCGetInitialGuessNonzero(), PCSetInitialGuessKnoll(), PCGetInitialGuessKnoll() 316 @*/ 317 PetscErrorCode PCSetErrorIfFailure(PC pc,PetscBool flg) 318 { 319 PetscFunctionBegin; 320 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 321 PetscValidLogicalCollectiveBool(pc,flg,2); 322 pc->erroriffailure = flg; 323 PetscFunctionReturn(0); 324 } 325 326 /*@ 327 PCGetUseAmat - Gets a flag to indicate that when the preconditioner needs to apply (part of) the 328 operator during the preconditioning process it applies the Amat provided to TSSetRHSJacobian(), 329 TSSetIJacobian(), SNESSetJacobian(), KSPSetOperator() or PCSetOperator() not the Pmat. 330 331 Logically Collective on PC 332 333 Input Parameter: 334 . pc - the preconditioner context 335 336 Output Parameter: 337 . flg - PETSC_TRUE to use the Amat, PETSC_FALSE to use the Pmat (default is false) 338 339 Notes: 340 For the common case in which the linear system matrix and the matrix used to construct the 341 preconditioner are identical, this routine is does nothing. 342 343 Level: intermediate 344 345 .seealso: PCSetUseAmat(), PCBJACOBI, PGMG, PCFIELDSPLIT, PCCOMPOSITE 346 @*/ 347 PetscErrorCode PCGetUseAmat(PC pc,PetscBool *flg) 348 { 349 PetscFunctionBegin; 350 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 351 *flg = pc->useAmat; 352 PetscFunctionReturn(0); 353 } 354 355 /*@ 356 PCCreate - Creates a preconditioner context. 357 358 Collective 359 360 Input Parameter: 361 . comm - MPI communicator 362 363 Output Parameter: 364 . pc - location to put the preconditioner context 365 366 Notes: 367 The default preconditioner for sparse matrices is PCILU or PCICC with 0 fill on one process and block Jacobi with PCILU or PCICC 368 in parallel. For dense matrices it is always PCNONE. 369 370 Level: developer 371 372 .seealso: PCSetUp(), PCApply(), PCDestroy() 373 @*/ 374 PetscErrorCode PCCreate(MPI_Comm comm,PC *newpc) 375 { 376 PC pc; 377 PetscErrorCode ierr; 378 379 PetscFunctionBegin; 380 PetscValidPointer(newpc,1); 381 *newpc = NULL; 382 ierr = PCInitializePackage();CHKERRQ(ierr); 383 384 ierr = PetscHeaderCreate(pc,PC_CLASSID,"PC","Preconditioner","PC",comm,PCDestroy,PCView);CHKERRQ(ierr); 385 386 pc->mat = NULL; 387 pc->pmat = NULL; 388 pc->setupcalled = 0; 389 pc->setfromoptionscalled = 0; 390 pc->data = NULL; 391 pc->diagonalscale = PETSC_FALSE; 392 pc->diagonalscaleleft = NULL; 393 pc->diagonalscaleright = NULL; 394 395 pc->modifysubmatrices = NULL; 396 pc->modifysubmatricesP = NULL; 397 398 *newpc = pc; 399 PetscFunctionReturn(0); 400 401 } 402 403 /* -------------------------------------------------------------------------------*/ 404 405 /*@ 406 PCApply - Applies the preconditioner to a vector. 407 408 Collective on PC 409 410 Input Parameters: 411 + pc - the preconditioner context 412 - x - input vector 413 414 Output Parameter: 415 . y - output vector 416 417 Level: developer 418 419 .seealso: PCApplyTranspose(), PCApplyBAorAB() 420 @*/ 421 PetscErrorCode PCApply(PC pc,Vec x,Vec y) 422 { 423 PetscErrorCode ierr; 424 PetscInt m,n,mv,nv; 425 426 PetscFunctionBegin; 427 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 428 PetscValidHeaderSpecific(x,VEC_CLASSID,2); 429 PetscValidHeaderSpecific(y,VEC_CLASSID,3); 430 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 431 if (pc->erroriffailure) {ierr = VecValidValues(x,2,PETSC_TRUE);CHKERRQ(ierr);} 432 /* use pmat to check vector sizes since for KSPLQR the pmat may be of a different size than mat */ 433 ierr = MatGetLocalSize(pc->pmat,&m,&n);CHKERRQ(ierr); 434 ierr = VecGetLocalSize(x,&nv);CHKERRQ(ierr); 435 ierr = VecGetLocalSize(y,&mv);CHKERRQ(ierr); 436 if (mv != m) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Preconditioner number of local rows %D does not equal resulting vector number of rows %D",m,mv); 437 if (nv != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Preconditioner number of local columns %D does not equal resulting vector number of rows %D",n,nv); 438 ierr = VecSetErrorIfLocked(y,3);CHKERRQ(ierr); 439 440 ierr = PCSetUp(pc);CHKERRQ(ierr); 441 if (!pc->ops->apply) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC does not have apply"); 442 ierr = VecLockReadPush(x);CHKERRQ(ierr); 443 ierr = PetscLogEventBegin(PC_Apply,pc,x,y,0);CHKERRQ(ierr); 444 ierr = (*pc->ops->apply)(pc,x,y);CHKERRQ(ierr); 445 ierr = PetscLogEventEnd(PC_Apply,pc,x,y,0);CHKERRQ(ierr); 446 if (pc->erroriffailure) {ierr = VecValidValues(y,3,PETSC_FALSE);CHKERRQ(ierr);} 447 ierr = VecLockReadPop(x);CHKERRQ(ierr); 448 PetscFunctionReturn(0); 449 } 450 451 /*@ 452 PCMatApply - Applies the preconditioner to multiple vectors stored as a MATDENSE. Like PCApply(), Y and X must be different matrices. 453 454 Collective on PC 455 456 Input Parameters: 457 + pc - the preconditioner context 458 - X - block of input vectors 459 460 Output Parameter: 461 . Y - block of output vectors 462 463 Level: developer 464 465 .seealso: PCApply(), KSPMatSolve() 466 @*/ 467 PetscErrorCode PCMatApply(PC pc,Mat X,Mat Y) 468 { 469 Mat A; 470 Vec cy, cx; 471 PetscInt m1, M1, m2, M2, n1, N1, n2, N2; 472 PetscBool match; 473 PetscErrorCode ierr; 474 475 PetscFunctionBegin; 476 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 477 PetscValidHeaderSpecific(Y, MAT_CLASSID, 2); 478 PetscValidHeaderSpecific(X, MAT_CLASSID, 3); 479 PetscCheckSameComm(pc, 1, Y, 2); 480 PetscCheckSameComm(pc, 1, X, 3); 481 if (Y == X) SETERRQ(PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_IDN, "Y and X must be different matrices"); 482 ierr = PCGetOperators(pc, NULL, &A);CHKERRQ(ierr); 483 ierr = MatGetLocalSize(A, &m1, NULL);CHKERRQ(ierr); 484 ierr = MatGetLocalSize(Y, &m2, &n2);CHKERRQ(ierr); 485 ierr = MatGetSize(A, &M1, NULL);CHKERRQ(ierr); 486 ierr = MatGetSize(X, &M2, &N2);CHKERRQ(ierr); 487 if (m1 != m2 || M1 != M2) SETERRQ4(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Cannot use a block of input vectors with (m2,M2) = (%D,%D) for a preconditioner with (m1,M1) = (%D,%D)", m2, M2, m1, M1); 488 ierr = MatGetLocalSize(Y, &m1, &n1);CHKERRQ(ierr); 489 ierr = MatGetSize(Y, &M1, &N1);CHKERRQ(ierr); 490 if (m1 != m2 || M1 != M2 || n1 != n2 || N1 != N2) SETERRQ8(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Incompatible block of input vectors (m2,M2)x(n2,N2) = (%D,%D)x(%D,%D) and output vectors (m1,M1)x(n1,N1) = (%D,%D)x(%D,%D)", m2, M2, n2, N2, m1, M1, n1, N1); 491 ierr = PetscObjectBaseTypeCompareAny((PetscObject)Y, &match, MATSEQDENSE, MATMPIDENSE, "");CHKERRQ(ierr); 492 if (!match) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Provided block of output vectors not stored in a dense Mat"); 493 ierr = PetscObjectBaseTypeCompareAny((PetscObject)X, &match, MATSEQDENSE, MATMPIDENSE, "");CHKERRQ(ierr); 494 if (!match) SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Provided block of input vectors not stored in a dense Mat"); 495 ierr = PCSetUp(pc);CHKERRQ(ierr); 496 if (pc->ops->matapply) { 497 ierr = PetscLogEventBegin(PC_MatApply, pc, X, Y, 0);CHKERRQ(ierr); 498 ierr = (*pc->ops->matapply)(pc, X, Y);CHKERRQ(ierr); 499 ierr = PetscLogEventEnd(PC_MatApply, pc, X, Y, 0);CHKERRQ(ierr); 500 } else { 501 ierr = PetscInfo1(pc, "PC type %s applying column by column\n", ((PetscObject)pc)->type_name);CHKERRQ(ierr); 502 for (n2 = 0; n2 < N2; ++n2) { 503 ierr = MatDenseGetColumnVecRead(X, n2, &cx);CHKERRQ(ierr); 504 ierr = MatDenseGetColumnVecWrite(Y, n2, &cy);CHKERRQ(ierr); 505 ierr = PCApply(pc, cx, cy);CHKERRQ(ierr); 506 ierr = MatDenseRestoreColumnVecWrite(Y, n2, &cy);CHKERRQ(ierr); 507 ierr = MatDenseRestoreColumnVecRead(X, n2, &cx);CHKERRQ(ierr); 508 } 509 } 510 PetscFunctionReturn(0); 511 } 512 513 /*@ 514 PCApplySymmetricLeft - Applies the left part of a symmetric preconditioner to a vector. 515 516 Collective on PC 517 518 Input Parameters: 519 + pc - the preconditioner context 520 - x - input vector 521 522 Output Parameter: 523 . y - output vector 524 525 Notes: 526 Currently, this routine is implemented only for PCICC and PCJACOBI preconditioners. 527 528 Level: developer 529 530 .seealso: PCApply(), PCApplySymmetricRight() 531 @*/ 532 PetscErrorCode PCApplySymmetricLeft(PC pc,Vec x,Vec y) 533 { 534 PetscErrorCode ierr; 535 536 PetscFunctionBegin; 537 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 538 PetscValidHeaderSpecific(x,VEC_CLASSID,2); 539 PetscValidHeaderSpecific(y,VEC_CLASSID,3); 540 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 541 if (pc->erroriffailure) {ierr = VecValidValues(x,2,PETSC_TRUE);CHKERRQ(ierr);} 542 ierr = PCSetUp(pc);CHKERRQ(ierr); 543 if (!pc->ops->applysymmetricleft) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC does not have left symmetric apply"); 544 ierr = VecLockReadPush(x);CHKERRQ(ierr); 545 ierr = PetscLogEventBegin(PC_ApplySymmetricLeft,pc,x,y,0);CHKERRQ(ierr); 546 ierr = (*pc->ops->applysymmetricleft)(pc,x,y);CHKERRQ(ierr); 547 ierr = PetscLogEventEnd(PC_ApplySymmetricLeft,pc,x,y,0);CHKERRQ(ierr); 548 ierr = VecLockReadPop(x);CHKERRQ(ierr); 549 if (pc->erroriffailure) {ierr = VecValidValues(y,3,PETSC_FALSE);CHKERRQ(ierr);} 550 PetscFunctionReturn(0); 551 } 552 553 /*@ 554 PCApplySymmetricRight - Applies the right part of a symmetric preconditioner to a vector. 555 556 Collective on PC 557 558 Input Parameters: 559 + pc - the preconditioner context 560 - x - input vector 561 562 Output Parameter: 563 . y - output vector 564 565 Level: developer 566 567 Notes: 568 Currently, this routine is implemented only for PCICC and PCJACOBI preconditioners. 569 570 .seealso: PCApply(), PCApplySymmetricLeft() 571 @*/ 572 PetscErrorCode PCApplySymmetricRight(PC pc,Vec x,Vec y) 573 { 574 PetscErrorCode ierr; 575 576 PetscFunctionBegin; 577 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 578 PetscValidHeaderSpecific(x,VEC_CLASSID,2); 579 PetscValidHeaderSpecific(y,VEC_CLASSID,3); 580 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 581 if (pc->erroriffailure) {ierr = VecValidValues(x,2,PETSC_TRUE);CHKERRQ(ierr);} 582 ierr = PCSetUp(pc);CHKERRQ(ierr); 583 if (!pc->ops->applysymmetricright) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC does not have left symmetric apply"); 584 ierr = VecLockReadPush(x);CHKERRQ(ierr); 585 ierr = PetscLogEventBegin(PC_ApplySymmetricRight,pc,x,y,0);CHKERRQ(ierr); 586 ierr = (*pc->ops->applysymmetricright)(pc,x,y);CHKERRQ(ierr); 587 ierr = PetscLogEventEnd(PC_ApplySymmetricRight,pc,x,y,0);CHKERRQ(ierr); 588 ierr = VecLockReadPop(x);CHKERRQ(ierr); 589 if (pc->erroriffailure) {ierr = VecValidValues(y,3,PETSC_FALSE);CHKERRQ(ierr);} 590 PetscFunctionReturn(0); 591 } 592 593 /*@ 594 PCApplyTranspose - Applies the transpose of preconditioner to a vector. 595 596 Collective on PC 597 598 Input Parameters: 599 + pc - the preconditioner context 600 - x - input vector 601 602 Output Parameter: 603 . y - output vector 604 605 Notes: 606 For complex numbers this applies the non-Hermitian transpose. 607 608 Developer Notes: 609 We need to implement a PCApplyHermitianTranspose() 610 611 Level: developer 612 613 .seealso: PCApply(), PCApplyBAorAB(), PCApplyBAorABTranspose(), PCApplyTransposeExists() 614 @*/ 615 PetscErrorCode PCApplyTranspose(PC pc,Vec x,Vec y) 616 { 617 PetscErrorCode ierr; 618 619 PetscFunctionBegin; 620 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 621 PetscValidHeaderSpecific(x,VEC_CLASSID,2); 622 PetscValidHeaderSpecific(y,VEC_CLASSID,3); 623 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 624 if (pc->erroriffailure) {ierr = VecValidValues(x,2,PETSC_TRUE);CHKERRQ(ierr);} 625 ierr = PCSetUp(pc);CHKERRQ(ierr); 626 if (!pc->ops->applytranspose) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC does not have apply transpose"); 627 ierr = VecLockReadPush(x);CHKERRQ(ierr); 628 ierr = PetscLogEventBegin(PC_Apply,pc,x,y,0);CHKERRQ(ierr); 629 ierr = (*pc->ops->applytranspose)(pc,x,y);CHKERRQ(ierr); 630 ierr = PetscLogEventEnd(PC_Apply,pc,x,y,0);CHKERRQ(ierr); 631 ierr = VecLockReadPop(x);CHKERRQ(ierr); 632 if (pc->erroriffailure) {ierr = VecValidValues(y,3,PETSC_FALSE);CHKERRQ(ierr);} 633 PetscFunctionReturn(0); 634 } 635 636 /*@ 637 PCApplyTransposeExists - Test whether the preconditioner has a transpose apply operation 638 639 Collective on PC 640 641 Input Parameters: 642 . pc - the preconditioner context 643 644 Output Parameter: 645 . flg - PETSC_TRUE if a transpose operation is defined 646 647 Level: developer 648 649 .seealso: PCApplyTranspose() 650 @*/ 651 PetscErrorCode PCApplyTransposeExists(PC pc,PetscBool *flg) 652 { 653 PetscFunctionBegin; 654 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 655 PetscValidBoolPointer(flg,2); 656 if (pc->ops->applytranspose) *flg = PETSC_TRUE; 657 else *flg = PETSC_FALSE; 658 PetscFunctionReturn(0); 659 } 660 661 /*@ 662 PCApplyBAorAB - Applies the preconditioner and operator to a vector. y = B*A*x or y = A*B*x. 663 664 Collective on PC 665 666 Input Parameters: 667 + pc - the preconditioner context 668 . side - indicates the preconditioner side, one of PC_LEFT, PC_RIGHT, or PC_SYMMETRIC 669 . x - input vector 670 - work - work vector 671 672 Output Parameter: 673 . y - output vector 674 675 Level: developer 676 677 Notes: 678 If the PC has had PCSetDiagonalScale() set then D M A D^{-1} for left preconditioning or D A M D^{-1} is actually applied. Note that the 679 specific KSPSolve() method must also be written to handle the post-solve "correction" for the diagonal scaling. 680 681 .seealso: PCApply(), PCApplyTranspose(), PCApplyBAorABTranspose() 682 @*/ 683 PetscErrorCode PCApplyBAorAB(PC pc,PCSide side,Vec x,Vec y,Vec work) 684 { 685 PetscErrorCode ierr; 686 687 PetscFunctionBegin; 688 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 689 PetscValidLogicalCollectiveEnum(pc,side,2); 690 PetscValidHeaderSpecific(x,VEC_CLASSID,3); 691 PetscValidHeaderSpecific(y,VEC_CLASSID,4); 692 PetscValidHeaderSpecific(work,VEC_CLASSID,5); 693 PetscCheckSameComm(pc,1,x,3); 694 PetscCheckSameComm(pc,1,y,4); 695 PetscCheckSameComm(pc,1,work,5); 696 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 697 if (side != PC_LEFT && side != PC_SYMMETRIC && side != PC_RIGHT) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Side must be right, left, or symmetric"); 698 if (pc->diagonalscale && side == PC_SYMMETRIC) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot include diagonal scaling with symmetric preconditioner application"); 699 if (pc->erroriffailure) {ierr = VecValidValues(x,3,PETSC_TRUE);CHKERRQ(ierr);} 700 701 ierr = PCSetUp(pc);CHKERRQ(ierr); 702 if (pc->diagonalscale) { 703 if (pc->ops->applyBA) { 704 Vec work2; /* this is expensive, but to fix requires a second work vector argument to PCApplyBAorAB() */ 705 ierr = VecDuplicate(x,&work2);CHKERRQ(ierr); 706 ierr = PCDiagonalScaleRight(pc,x,work2);CHKERRQ(ierr); 707 ierr = (*pc->ops->applyBA)(pc,side,work2,y,work);CHKERRQ(ierr); 708 ierr = PCDiagonalScaleLeft(pc,y,y);CHKERRQ(ierr); 709 ierr = VecDestroy(&work2);CHKERRQ(ierr); 710 } else if (side == PC_RIGHT) { 711 ierr = PCDiagonalScaleRight(pc,x,y);CHKERRQ(ierr); 712 ierr = PCApply(pc,y,work);CHKERRQ(ierr); 713 ierr = MatMult(pc->mat,work,y);CHKERRQ(ierr); 714 ierr = PCDiagonalScaleLeft(pc,y,y);CHKERRQ(ierr); 715 } else if (side == PC_LEFT) { 716 ierr = PCDiagonalScaleRight(pc,x,y);CHKERRQ(ierr); 717 ierr = MatMult(pc->mat,y,work);CHKERRQ(ierr); 718 ierr = PCApply(pc,work,y);CHKERRQ(ierr); 719 ierr = PCDiagonalScaleLeft(pc,y,y);CHKERRQ(ierr); 720 } else if (side == PC_SYMMETRIC) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot provide diagonal scaling with symmetric application of preconditioner"); 721 } else { 722 if (pc->ops->applyBA) { 723 ierr = (*pc->ops->applyBA)(pc,side,x,y,work);CHKERRQ(ierr); 724 } else if (side == PC_RIGHT) { 725 ierr = PCApply(pc,x,work);CHKERRQ(ierr); 726 ierr = MatMult(pc->mat,work,y);CHKERRQ(ierr); 727 } else if (side == PC_LEFT) { 728 ierr = MatMult(pc->mat,x,work);CHKERRQ(ierr); 729 ierr = PCApply(pc,work,y);CHKERRQ(ierr); 730 } else if (side == PC_SYMMETRIC) { 731 /* There's an extra copy here; maybe should provide 2 work vectors instead? */ 732 ierr = PCApplySymmetricRight(pc,x,work);CHKERRQ(ierr); 733 ierr = MatMult(pc->mat,work,y);CHKERRQ(ierr); 734 ierr = VecCopy(y,work);CHKERRQ(ierr); 735 ierr = PCApplySymmetricLeft(pc,work,y);CHKERRQ(ierr); 736 } 737 } 738 if (pc->erroriffailure) {ierr = VecValidValues(y,4,PETSC_FALSE);CHKERRQ(ierr);} 739 PetscFunctionReturn(0); 740 } 741 742 /*@ 743 PCApplyBAorABTranspose - Applies the transpose of the preconditioner 744 and operator to a vector. That is, applies tr(B) * tr(A) with left preconditioning, 745 NOT tr(B*A) = tr(A)*tr(B). 746 747 Collective on PC 748 749 Input Parameters: 750 + pc - the preconditioner context 751 . side - indicates the preconditioner side, one of PC_LEFT, PC_RIGHT, or PC_SYMMETRIC 752 . x - input vector 753 - work - work vector 754 755 Output Parameter: 756 . y - output vector 757 758 759 Notes: 760 this routine is used internally so that the same Krylov code can be used to solve A x = b and A' x = b, with a preconditioner 761 defined by B'. This is why this has the funny form that it computes tr(B) * tr(A) 762 763 Level: developer 764 765 .seealso: PCApply(), PCApplyTranspose(), PCApplyBAorAB() 766 @*/ 767 PetscErrorCode PCApplyBAorABTranspose(PC pc,PCSide side,Vec x,Vec y,Vec work) 768 { 769 PetscErrorCode ierr; 770 771 PetscFunctionBegin; 772 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 773 PetscValidHeaderSpecific(x,VEC_CLASSID,3); 774 PetscValidHeaderSpecific(y,VEC_CLASSID,4); 775 PetscValidHeaderSpecific(work,VEC_CLASSID,5); 776 if (x == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"x and y must be different vectors"); 777 if (pc->erroriffailure) {ierr = VecValidValues(x,3,PETSC_TRUE);CHKERRQ(ierr);} 778 if (pc->ops->applyBAtranspose) { 779 ierr = (*pc->ops->applyBAtranspose)(pc,side,x,y,work);CHKERRQ(ierr); 780 if (pc->erroriffailure) {ierr = VecValidValues(y,4,PETSC_FALSE);CHKERRQ(ierr);} 781 PetscFunctionReturn(0); 782 } 783 if (side != PC_LEFT && side != PC_RIGHT) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Side must be right or left"); 784 785 ierr = PCSetUp(pc);CHKERRQ(ierr); 786 if (side == PC_RIGHT) { 787 ierr = PCApplyTranspose(pc,x,work);CHKERRQ(ierr); 788 ierr = MatMultTranspose(pc->mat,work,y);CHKERRQ(ierr); 789 } else if (side == PC_LEFT) { 790 ierr = MatMultTranspose(pc->mat,x,work);CHKERRQ(ierr); 791 ierr = PCApplyTranspose(pc,work,y);CHKERRQ(ierr); 792 } 793 /* add support for PC_SYMMETRIC */ 794 if (pc->erroriffailure) {ierr = VecValidValues(y,4,PETSC_FALSE);CHKERRQ(ierr);} 795 PetscFunctionReturn(0); 796 } 797 798 /* -------------------------------------------------------------------------------*/ 799 800 /*@ 801 PCApplyRichardsonExists - Determines whether a particular preconditioner has a 802 built-in fast application of Richardson's method. 803 804 Not Collective 805 806 Input Parameter: 807 . pc - the preconditioner 808 809 Output Parameter: 810 . exists - PETSC_TRUE or PETSC_FALSE 811 812 Level: developer 813 814 .seealso: PCApplyRichardson() 815 @*/ 816 PetscErrorCode PCApplyRichardsonExists(PC pc,PetscBool *exists) 817 { 818 PetscFunctionBegin; 819 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 820 PetscValidPointer(exists,2); 821 if (pc->ops->applyrichardson) *exists = PETSC_TRUE; 822 else *exists = PETSC_FALSE; 823 PetscFunctionReturn(0); 824 } 825 826 /*@ 827 PCApplyRichardson - Applies several steps of Richardson iteration with 828 the particular preconditioner. This routine is usually used by the 829 Krylov solvers and not the application code directly. 830 831 Collective on PC 832 833 Input Parameters: 834 + pc - the preconditioner context 835 . b - the right hand side 836 . w - one work vector 837 . rtol - relative decrease in residual norm convergence criteria 838 . abstol - absolute residual norm convergence criteria 839 . dtol - divergence residual norm increase criteria 840 . its - the number of iterations to apply. 841 - guesszero - if the input x contains nonzero initial guess 842 843 Output Parameter: 844 + outits - number of iterations actually used (for SOR this always equals its) 845 . reason - the reason the apply terminated 846 - y - the solution (also contains initial guess if guesszero is PETSC_FALSE 847 848 Notes: 849 Most preconditioners do not support this function. Use the command 850 PCApplyRichardsonExists() to determine if one does. 851 852 Except for the multigrid PC this routine ignores the convergence tolerances 853 and always runs for the number of iterations 854 855 Level: developer 856 857 .seealso: PCApplyRichardsonExists() 858 @*/ 859 PetscErrorCode PCApplyRichardson(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscBool guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason) 860 { 861 PetscErrorCode ierr; 862 863 PetscFunctionBegin; 864 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 865 PetscValidHeaderSpecific(b,VEC_CLASSID,2); 866 PetscValidHeaderSpecific(y,VEC_CLASSID,3); 867 PetscValidHeaderSpecific(w,VEC_CLASSID,4); 868 if (b == y) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_IDN,"b and y must be different vectors"); 869 ierr = PCSetUp(pc);CHKERRQ(ierr); 870 if (!pc->ops->applyrichardson) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC does not have apply richardson"); 871 ierr = (*pc->ops->applyrichardson)(pc,b,y,w,rtol,abstol,dtol,its,guesszero,outits,reason);CHKERRQ(ierr); 872 PetscFunctionReturn(0); 873 } 874 875 /*@ 876 PCSetFailedReason - Sets the reason a PCSetUp() failed or PC_NOERROR if it did not fail 877 878 Logically Collective on PC 879 880 Input Parameter: 881 + pc - the preconditioner context 882 - reason - the reason it failedx 883 884 Level: advanced 885 886 .seealso: PCCreate(), PCApply(), PCDestroy(), PCFailedReason 887 @*/ 888 PetscErrorCode PCSetFailedReason(PC pc,PCFailedReason reason) 889 { 890 PetscFunctionBegin; 891 pc->failedreason = reason; 892 PetscFunctionReturn(0); 893 } 894 895 /*@ 896 PCGetFailedReason - Gets the reason a PCSetUp() failed or PC_NOERROR if it did not fail 897 898 Logically Collective on PC 899 900 Input Parameter: 901 . pc - the preconditioner context 902 903 Output Parameter: 904 . reason - the reason it failed 905 906 Level: advanced 907 908 Notes: This is the maximum over reason over all ranks in the PC communicator. It is only valid after 909 a call KSPCheckDot() or KSPCheckNorm() inside a KSPSolve(). It is not valid immediately after a PCSetUp() 910 or PCApply(), then use PCGetFailedReasonRank() 911 912 .seealso: PCCreate(), PCApply(), PCDestroy(), PCGetFailedReasonRank(), PCSetFailedReason() 913 @*/ 914 PetscErrorCode PCGetFailedReason(PC pc,PCFailedReason *reason) 915 { 916 PetscFunctionBegin; 917 if (pc->setupcalled < 0) *reason = (PCFailedReason)pc->setupcalled; 918 else *reason = pc->failedreason; 919 PetscFunctionReturn(0); 920 } 921 922 /*@ 923 PCGetFailedReasonRank - Gets the reason a PCSetUp() failed or PC_NOERROR if it did not fail on this MPI rank 924 925 Not Collective on PC 926 927 Input Parameter: 928 . pc - the preconditioner context 929 930 Output Parameter: 931 . reason - the reason it failed 932 933 Notes: 934 Different ranks may have different reasons or no reason, see PCGetFailedReason() 935 936 Level: advanced 937 938 .seealso: PCCreate(), PCApply(), PCDestroy(), PCGetFailedReason(), PCSetFailedReason() 939 @*/ 940 PetscErrorCode PCGetFailedReasonRank(PC pc,PCFailedReason *reason) 941 { 942 PetscFunctionBegin; 943 if (pc->setupcalled < 0) *reason = (PCFailedReason)pc->setupcalled; 944 else *reason = pc->failedreason; 945 PetscFunctionReturn(0); 946 } 947 948 /* 949 a setupcall of 0 indicates never setup, 950 1 indicates has been previously setup 951 -1 indicates a PCSetUp() was attempted and failed 952 */ 953 /*@ 954 PCSetUp - Prepares for the use of a preconditioner. 955 956 Collective on PC 957 958 Input Parameter: 959 . pc - the preconditioner context 960 961 Level: developer 962 963 .seealso: PCCreate(), PCApply(), PCDestroy() 964 @*/ 965 PetscErrorCode PCSetUp(PC pc) 966 { 967 PetscErrorCode ierr; 968 const char *def; 969 PetscObjectState matstate, matnonzerostate; 970 971 PetscFunctionBegin; 972 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 973 if (!pc->mat) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Matrix must be set first"); 974 975 if (pc->setupcalled && pc->reusepreconditioner) { 976 ierr = PetscInfo(pc,"Leaving PC with identical preconditioner since reuse preconditioner is set\n");CHKERRQ(ierr); 977 PetscFunctionReturn(0); 978 } 979 980 ierr = PetscObjectStateGet((PetscObject)pc->pmat,&matstate);CHKERRQ(ierr); 981 ierr = MatGetNonzeroState(pc->pmat,&matnonzerostate);CHKERRQ(ierr); 982 if (!pc->setupcalled) { 983 ierr = PetscInfo(pc,"Setting up PC for first time\n");CHKERRQ(ierr); 984 pc->flag = DIFFERENT_NONZERO_PATTERN; 985 } else if (matstate == pc->matstate) { 986 ierr = PetscInfo(pc,"Leaving PC with identical preconditioner since operator is unchanged\n");CHKERRQ(ierr); 987 PetscFunctionReturn(0); 988 } else { 989 if (matnonzerostate > pc->matnonzerostate) { 990 ierr = PetscInfo(pc,"Setting up PC with different nonzero pattern\n");CHKERRQ(ierr); 991 pc->flag = DIFFERENT_NONZERO_PATTERN; 992 } else { 993 ierr = PetscInfo(pc,"Setting up PC with same nonzero pattern\n");CHKERRQ(ierr); 994 pc->flag = SAME_NONZERO_PATTERN; 995 } 996 } 997 pc->matstate = matstate; 998 pc->matnonzerostate = matnonzerostate; 999 1000 if (!((PetscObject)pc)->type_name) { 1001 ierr = PCGetDefaultType_Private(pc,&def);CHKERRQ(ierr); 1002 ierr = PCSetType(pc,def);CHKERRQ(ierr); 1003 } 1004 1005 ierr = MatSetErrorIfFailure(pc->pmat,pc->erroriffailure);CHKERRQ(ierr); 1006 ierr = MatSetErrorIfFailure(pc->mat,pc->erroriffailure);CHKERRQ(ierr); 1007 ierr = PetscLogEventBegin(PC_SetUp,pc,0,0,0);CHKERRQ(ierr); 1008 if (pc->ops->setup) { 1009 ierr = (*pc->ops->setup)(pc);CHKERRQ(ierr); 1010 } 1011 ierr = PetscLogEventEnd(PC_SetUp,pc,0,0,0);CHKERRQ(ierr); 1012 if (!pc->setupcalled) pc->setupcalled = 1; 1013 PetscFunctionReturn(0); 1014 } 1015 1016 /*@ 1017 PCSetUpOnBlocks - Sets up the preconditioner for each block in 1018 the block Jacobi, block Gauss-Seidel, and overlapping Schwarz 1019 methods. 1020 1021 Collective on PC 1022 1023 Input Parameters: 1024 . pc - the preconditioner context 1025 1026 Level: developer 1027 1028 .seealso: PCCreate(), PCApply(), PCDestroy(), PCSetUp() 1029 @*/ 1030 PetscErrorCode PCSetUpOnBlocks(PC pc) 1031 { 1032 PetscErrorCode ierr; 1033 1034 PetscFunctionBegin; 1035 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1036 if (!pc->ops->setuponblocks) PetscFunctionReturn(0); 1037 ierr = PetscLogEventBegin(PC_SetUpOnBlocks,pc,0,0,0);CHKERRQ(ierr); 1038 ierr = (*pc->ops->setuponblocks)(pc);CHKERRQ(ierr); 1039 ierr = PetscLogEventEnd(PC_SetUpOnBlocks,pc,0,0,0);CHKERRQ(ierr); 1040 PetscFunctionReturn(0); 1041 } 1042 1043 /*@C 1044 PCSetModifySubMatrices - Sets a user-defined routine for modifying the 1045 submatrices that arise within certain subdomain-based preconditioners. 1046 The basic submatrices are extracted from the preconditioner matrix as 1047 usual; the user can then alter these (for example, to set different boundary 1048 conditions for each submatrix) before they are used for the local solves. 1049 1050 Logically Collective on PC 1051 1052 Input Parameters: 1053 + pc - the preconditioner context 1054 . func - routine for modifying the submatrices 1055 - ctx - optional user-defined context (may be null) 1056 1057 Calling sequence of func: 1058 $ func (PC pc,PetscInt nsub,IS *row,IS *col,Mat *submat,void *ctx); 1059 1060 + row - an array of index sets that contain the global row numbers 1061 that comprise each local submatrix 1062 . col - an array of index sets that contain the global column numbers 1063 that comprise each local submatrix 1064 . submat - array of local submatrices 1065 - ctx - optional user-defined context for private data for the 1066 user-defined func routine (may be null) 1067 1068 Notes: 1069 PCSetModifySubMatrices() MUST be called before KSPSetUp() and 1070 KSPSolve(). 1071 1072 A routine set by PCSetModifySubMatrices() is currently called within 1073 the block Jacobi (PCBJACOBI) and additive Schwarz (PCASM) 1074 preconditioners. All other preconditioners ignore this routine. 1075 1076 Level: advanced 1077 1078 .seealso: PCModifySubMatrices() 1079 @*/ 1080 PetscErrorCode PCSetModifySubMatrices(PC pc,PetscErrorCode (*func)(PC,PetscInt,const IS[],const IS[],Mat[],void*),void *ctx) 1081 { 1082 PetscFunctionBegin; 1083 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1084 pc->modifysubmatrices = func; 1085 pc->modifysubmatricesP = ctx; 1086 PetscFunctionReturn(0); 1087 } 1088 1089 /*@C 1090 PCModifySubMatrices - Calls an optional user-defined routine within 1091 certain preconditioners if one has been set with PCSetModifySubMatrices(). 1092 1093 Collective on PC 1094 1095 Input Parameters: 1096 + pc - the preconditioner context 1097 . nsub - the number of local submatrices 1098 . row - an array of index sets that contain the global row numbers 1099 that comprise each local submatrix 1100 . col - an array of index sets that contain the global column numbers 1101 that comprise each local submatrix 1102 . submat - array of local submatrices 1103 - ctx - optional user-defined context for private data for the 1104 user-defined routine (may be null) 1105 1106 Output Parameter: 1107 . submat - array of local submatrices (the entries of which may 1108 have been modified) 1109 1110 Notes: 1111 The user should NOT generally call this routine, as it will 1112 automatically be called within certain preconditioners (currently 1113 block Jacobi, additive Schwarz) if set. 1114 1115 The basic submatrices are extracted from the preconditioner matrix 1116 as usual; the user can then alter these (for example, to set different 1117 boundary conditions for each submatrix) before they are used for the 1118 local solves. 1119 1120 Level: developer 1121 1122 .seealso: PCSetModifySubMatrices() 1123 @*/ 1124 PetscErrorCode PCModifySubMatrices(PC pc,PetscInt nsub,const IS row[],const IS col[],Mat submat[],void *ctx) 1125 { 1126 PetscErrorCode ierr; 1127 1128 PetscFunctionBegin; 1129 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1130 if (!pc->modifysubmatrices) PetscFunctionReturn(0); 1131 ierr = PetscLogEventBegin(PC_ModifySubMatrices,pc,0,0,0);CHKERRQ(ierr); 1132 ierr = (*pc->modifysubmatrices)(pc,nsub,row,col,submat,ctx);CHKERRQ(ierr); 1133 ierr = PetscLogEventEnd(PC_ModifySubMatrices,pc,0,0,0);CHKERRQ(ierr); 1134 PetscFunctionReturn(0); 1135 } 1136 1137 /*@ 1138 PCSetOperators - Sets the matrix associated with the linear system and 1139 a (possibly) different one associated with the preconditioner. 1140 1141 Logically Collective on PC 1142 1143 Input Parameters: 1144 + pc - the preconditioner context 1145 . Amat - the matrix that defines the linear system 1146 - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat. 1147 1148 Notes: 1149 Passing a NULL for Amat or Pmat removes the matrix that is currently used. 1150 1151 If you wish to replace either Amat or Pmat but leave the other one untouched then 1152 first call KSPGetOperators() to get the one you wish to keep, call PetscObjectReference() 1153 on it and then pass it back in in your call to KSPSetOperators(). 1154 1155 More Notes about Repeated Solution of Linear Systems: 1156 PETSc does NOT reset the matrix entries of either Amat or Pmat 1157 to zero after a linear solve; the user is completely responsible for 1158 matrix assembly. See the routine MatZeroEntries() if desiring to 1159 zero all elements of a matrix. 1160 1161 Level: intermediate 1162 1163 .seealso: PCGetOperators(), MatZeroEntries() 1164 @*/ 1165 PetscErrorCode PCSetOperators(PC pc,Mat Amat,Mat Pmat) 1166 { 1167 PetscErrorCode ierr; 1168 PetscInt m1,n1,m2,n2; 1169 1170 PetscFunctionBegin; 1171 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1172 if (Amat) PetscValidHeaderSpecific(Amat,MAT_CLASSID,2); 1173 if (Pmat) PetscValidHeaderSpecific(Pmat,MAT_CLASSID,3); 1174 if (Amat) PetscCheckSameComm(pc,1,Amat,2); 1175 if (Pmat) PetscCheckSameComm(pc,1,Pmat,3); 1176 if (pc->setupcalled && pc->mat && pc->pmat && Amat && Pmat) { 1177 ierr = MatGetLocalSize(Amat,&m1,&n1);CHKERRQ(ierr); 1178 ierr = MatGetLocalSize(pc->mat,&m2,&n2);CHKERRQ(ierr); 1179 if (m1 != m2 || n1 != n2) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Cannot change local size of Amat after use old sizes %D %D new sizes %D %D",m2,n2,m1,n1); 1180 ierr = MatGetLocalSize(Pmat,&m1,&n1);CHKERRQ(ierr); 1181 ierr = MatGetLocalSize(pc->pmat,&m2,&n2);CHKERRQ(ierr); 1182 if (m1 != m2 || n1 != n2) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Cannot change local size of Pmat after use old sizes %D %D new sizes %D %D",m2,n2,m1,n1); 1183 } 1184 1185 if (Pmat != pc->pmat) { 1186 /* changing the operator that defines the preconditioner thus reneed to clear current states so new preconditioner is built */ 1187 pc->matnonzerostate = -1; 1188 pc->matstate = -1; 1189 } 1190 1191 /* reference first in case the matrices are the same */ 1192 if (Amat) {ierr = PetscObjectReference((PetscObject)Amat);CHKERRQ(ierr);} 1193 ierr = MatDestroy(&pc->mat);CHKERRQ(ierr); 1194 if (Pmat) {ierr = PetscObjectReference((PetscObject)Pmat);CHKERRQ(ierr);} 1195 ierr = MatDestroy(&pc->pmat);CHKERRQ(ierr); 1196 pc->mat = Amat; 1197 pc->pmat = Pmat; 1198 PetscFunctionReturn(0); 1199 } 1200 1201 /*@ 1202 PCSetReusePreconditioner - reuse the current preconditioner even if the operator in the preconditioner has changed. 1203 1204 Logically Collective on PC 1205 1206 Input Parameters: 1207 + pc - the preconditioner context 1208 - flag - PETSC_TRUE do not compute a new preconditioner, PETSC_FALSE do compute a new preconditioner 1209 1210 Level: intermediate 1211 1212 .seealso: PCGetOperators(), MatZeroEntries(), PCGetReusePreconditioner(), KSPSetReusePreconditioner() 1213 @*/ 1214 PetscErrorCode PCSetReusePreconditioner(PC pc,PetscBool flag) 1215 { 1216 PetscFunctionBegin; 1217 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1218 PetscValidLogicalCollectiveBool(pc,flag,2); 1219 pc->reusepreconditioner = flag; 1220 PetscFunctionReturn(0); 1221 } 1222 1223 /*@ 1224 PCGetReusePreconditioner - Determines if the PC reuses the current preconditioner even if the operator in the preconditioner has changed. 1225 1226 Not Collective 1227 1228 Input Parameter: 1229 . pc - the preconditioner context 1230 1231 Output Parameter: 1232 . flag - PETSC_TRUE do not compute a new preconditioner, PETSC_FALSE do compute a new preconditioner 1233 1234 Level: intermediate 1235 1236 .seealso: PCGetOperators(), MatZeroEntries(), PCSetReusePreconditioner() 1237 @*/ 1238 PetscErrorCode PCGetReusePreconditioner(PC pc,PetscBool *flag) 1239 { 1240 PetscFunctionBegin; 1241 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1242 PetscValidPointer(flag,2); 1243 *flag = pc->reusepreconditioner; 1244 PetscFunctionReturn(0); 1245 } 1246 1247 /*@ 1248 PCGetOperators - Gets the matrix associated with the linear system and 1249 possibly a different one associated with the preconditioner. 1250 1251 Not collective, though parallel Mats are returned if the PC is parallel 1252 1253 Input Parameter: 1254 . pc - the preconditioner context 1255 1256 Output Parameters: 1257 + Amat - the matrix defining the linear system 1258 - Pmat - the matrix from which the preconditioner is constructed, usually the same as Amat. 1259 1260 Level: intermediate 1261 1262 Notes: 1263 Does not increase the reference count of the matrices, so you should not destroy them 1264 1265 Alternative usage: If the operators have NOT been set with KSP/PCSetOperators() then the operators 1266 are created in PC and returned to the user. In this case, if both operators 1267 mat and pmat are requested, two DIFFERENT operators will be returned. If 1268 only one is requested both operators in the PC will be the same (i.e. as 1269 if one had called KSP/PCSetOperators() with the same argument for both Mats). 1270 The user must set the sizes of the returned matrices and their type etc just 1271 as if the user created them with MatCreate(). For example, 1272 1273 $ KSP/PCGetOperators(ksp/pc,&Amat,NULL); is equivalent to 1274 $ set size, type, etc of Amat 1275 1276 $ MatCreate(comm,&mat); 1277 $ KSP/PCSetOperators(ksp/pc,Amat,Amat); 1278 $ PetscObjectDereference((PetscObject)mat); 1279 $ set size, type, etc of Amat 1280 1281 and 1282 1283 $ KSP/PCGetOperators(ksp/pc,&Amat,&Pmat); is equivalent to 1284 $ set size, type, etc of Amat and Pmat 1285 1286 $ MatCreate(comm,&Amat); 1287 $ MatCreate(comm,&Pmat); 1288 $ KSP/PCSetOperators(ksp/pc,Amat,Pmat); 1289 $ PetscObjectDereference((PetscObject)Amat); 1290 $ PetscObjectDereference((PetscObject)Pmat); 1291 $ set size, type, etc of Amat and Pmat 1292 1293 The rational for this support is so that when creating a TS, SNES, or KSP the hierarchy 1294 of underlying objects (i.e. SNES, KSP, PC, Mat) and their livespans can be completely 1295 managed by the top most level object (i.e. the TS, SNES, or KSP). Another way to look 1296 at this is when you create a SNES you do not NEED to create a KSP and attach it to 1297 the SNES object (the SNES object manages it for you). Similarly when you create a KSP 1298 you do not need to attach a PC to it (the KSP object manages the PC object for you). 1299 Thus, why should YOU have to create the Mat and attach it to the SNES/KSP/PC, when 1300 it can be created for you? 1301 1302 1303 .seealso: PCSetOperators(), KSPGetOperators(), KSPSetOperators(), PCGetOperatorsSet() 1304 @*/ 1305 PetscErrorCode PCGetOperators(PC pc,Mat *Amat,Mat *Pmat) 1306 { 1307 PetscErrorCode ierr; 1308 1309 PetscFunctionBegin; 1310 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1311 if (Amat) { 1312 if (!pc->mat) { 1313 if (pc->pmat && !Pmat) { /* Apmat has been set, but user did not request it, so use for Amat */ 1314 pc->mat = pc->pmat; 1315 ierr = PetscObjectReference((PetscObject)pc->mat);CHKERRQ(ierr); 1316 } else { /* both Amat and Pmat are empty */ 1317 ierr = MatCreate(PetscObjectComm((PetscObject)pc),&pc->mat);CHKERRQ(ierr); 1318 if (!Pmat) { /* user did NOT request Pmat, so make same as Amat */ 1319 pc->pmat = pc->mat; 1320 ierr = PetscObjectReference((PetscObject)pc->pmat);CHKERRQ(ierr); 1321 } 1322 } 1323 } 1324 *Amat = pc->mat; 1325 } 1326 if (Pmat) { 1327 if (!pc->pmat) { 1328 if (pc->mat && !Amat) { /* Amat has been set but was not requested, so use for pmat */ 1329 pc->pmat = pc->mat; 1330 ierr = PetscObjectReference((PetscObject)pc->pmat);CHKERRQ(ierr); 1331 } else { 1332 ierr = MatCreate(PetscObjectComm((PetscObject)pc),&pc->pmat);CHKERRQ(ierr); 1333 if (!Amat) { /* user did NOT request Amat, so make same as Pmat */ 1334 pc->mat = pc->pmat; 1335 ierr = PetscObjectReference((PetscObject)pc->mat);CHKERRQ(ierr); 1336 } 1337 } 1338 } 1339 *Pmat = pc->pmat; 1340 } 1341 PetscFunctionReturn(0); 1342 } 1343 1344 /*@C 1345 PCGetOperatorsSet - Determines if the matrix associated with the linear system and 1346 possibly a different one associated with the preconditioner have been set in the PC. 1347 1348 Not collective, though the results on all processes should be the same 1349 1350 Input Parameter: 1351 . pc - the preconditioner context 1352 1353 Output Parameters: 1354 + mat - the matrix associated with the linear system was set 1355 - pmat - matrix associated with the preconditioner was set, usually the same 1356 1357 Level: intermediate 1358 1359 .seealso: PCSetOperators(), KSPGetOperators(), KSPSetOperators(), PCGetOperators() 1360 @*/ 1361 PetscErrorCode PCGetOperatorsSet(PC pc,PetscBool *mat,PetscBool *pmat) 1362 { 1363 PetscFunctionBegin; 1364 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1365 if (mat) *mat = (pc->mat) ? PETSC_TRUE : PETSC_FALSE; 1366 if (pmat) *pmat = (pc->pmat) ? PETSC_TRUE : PETSC_FALSE; 1367 PetscFunctionReturn(0); 1368 } 1369 1370 /*@ 1371 PCFactorGetMatrix - Gets the factored matrix from the 1372 preconditioner context. This routine is valid only for the LU, 1373 incomplete LU, Cholesky, and incomplete Cholesky methods. 1374 1375 Not Collective on PC though Mat is parallel if PC is parallel 1376 1377 Input Parameters: 1378 . pc - the preconditioner context 1379 1380 Output parameters: 1381 . mat - the factored matrix 1382 1383 Level: advanced 1384 1385 Notes: 1386 Does not increase the reference count for the matrix so DO NOT destroy it 1387 1388 @*/ 1389 PetscErrorCode PCFactorGetMatrix(PC pc,Mat *mat) 1390 { 1391 PetscErrorCode ierr; 1392 1393 PetscFunctionBegin; 1394 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1395 PetscValidPointer(mat,2); 1396 if (pc->ops->getfactoredmatrix) { 1397 ierr = (*pc->ops->getfactoredmatrix)(pc,mat);CHKERRQ(ierr); 1398 } else SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"PC type does not support getting factor matrix"); 1399 PetscFunctionReturn(0); 1400 } 1401 1402 /*@C 1403 PCSetOptionsPrefix - Sets the prefix used for searching for all 1404 PC options in the database. 1405 1406 Logically Collective on PC 1407 1408 Input Parameters: 1409 + pc - the preconditioner context 1410 - prefix - the prefix string to prepend to all PC option requests 1411 1412 Notes: 1413 A hyphen (-) must NOT be given at the beginning of the prefix name. 1414 The first character of all runtime options is AUTOMATICALLY the 1415 hyphen. 1416 1417 Level: advanced 1418 1419 .seealso: PCAppendOptionsPrefix(), PCGetOptionsPrefix() 1420 @*/ 1421 PetscErrorCode PCSetOptionsPrefix(PC pc,const char prefix[]) 1422 { 1423 PetscErrorCode ierr; 1424 1425 PetscFunctionBegin; 1426 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1427 ierr = PetscObjectSetOptionsPrefix((PetscObject)pc,prefix);CHKERRQ(ierr); 1428 PetscFunctionReturn(0); 1429 } 1430 1431 /*@C 1432 PCAppendOptionsPrefix - Appends to the prefix used for searching for all 1433 PC options in the database. 1434 1435 Logically Collective on PC 1436 1437 Input Parameters: 1438 + pc - the preconditioner context 1439 - prefix - the prefix string to prepend to all PC option requests 1440 1441 Notes: 1442 A hyphen (-) must NOT be given at the beginning of the prefix name. 1443 The first character of all runtime options is AUTOMATICALLY the 1444 hyphen. 1445 1446 Level: advanced 1447 1448 .seealso: PCSetOptionsPrefix(), PCGetOptionsPrefix() 1449 @*/ 1450 PetscErrorCode PCAppendOptionsPrefix(PC pc,const char prefix[]) 1451 { 1452 PetscErrorCode ierr; 1453 1454 PetscFunctionBegin; 1455 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1456 ierr = PetscObjectAppendOptionsPrefix((PetscObject)pc,prefix);CHKERRQ(ierr); 1457 PetscFunctionReturn(0); 1458 } 1459 1460 /*@C 1461 PCGetOptionsPrefix - Gets the prefix used for searching for all 1462 PC options in the database. 1463 1464 Not Collective 1465 1466 Input Parameters: 1467 . pc - the preconditioner context 1468 1469 Output Parameters: 1470 . prefix - pointer to the prefix string used, is returned 1471 1472 Notes: 1473 On the fortran side, the user should pass in a string 'prifix' of 1474 sufficient length to hold the prefix. 1475 1476 Level: advanced 1477 1478 .seealso: PCSetOptionsPrefix(), PCAppendOptionsPrefix() 1479 @*/ 1480 PetscErrorCode PCGetOptionsPrefix(PC pc,const char *prefix[]) 1481 { 1482 PetscErrorCode ierr; 1483 1484 PetscFunctionBegin; 1485 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1486 PetscValidPointer(prefix,2); 1487 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc,prefix);CHKERRQ(ierr); 1488 PetscFunctionReturn(0); 1489 } 1490 1491 /* 1492 Indicates the right hand side will be changed by KSPSolve(), this occurs for a few 1493 preconditioners including BDDC and Eisentat that transform the equations before applying 1494 the Krylov methods 1495 */ 1496 PETSC_INTERN PetscErrorCode PCPreSolveChangeRHS(PC pc,PetscBool *change) 1497 { 1498 PetscErrorCode ierr; 1499 1500 PetscFunctionBegin; 1501 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1502 PetscValidPointer(change,2); 1503 *change = PETSC_FALSE; 1504 ierr = PetscTryMethod(pc,"PCPreSolveChangeRHS_C",(PC,PetscBool*),(pc,change));CHKERRQ(ierr); 1505 PetscFunctionReturn(0); 1506 } 1507 1508 /*@ 1509 PCPreSolve - Optional pre-solve phase, intended for any 1510 preconditioner-specific actions that must be performed before 1511 the iterative solve itself. 1512 1513 Collective on PC 1514 1515 Input Parameters: 1516 + pc - the preconditioner context 1517 - ksp - the Krylov subspace context 1518 1519 Level: developer 1520 1521 Sample of Usage: 1522 .vb 1523 PCPreSolve(pc,ksp); 1524 KSPSolve(ksp,b,x); 1525 PCPostSolve(pc,ksp); 1526 .ve 1527 1528 Notes: 1529 The pre-solve phase is distinct from the PCSetUp() phase. 1530 1531 KSPSolve() calls this directly, so is rarely called by the user. 1532 1533 .seealso: PCPostSolve() 1534 @*/ 1535 PetscErrorCode PCPreSolve(PC pc,KSP ksp) 1536 { 1537 PetscErrorCode ierr; 1538 Vec x,rhs; 1539 1540 PetscFunctionBegin; 1541 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1542 PetscValidHeaderSpecific(ksp,KSP_CLASSID,2); 1543 pc->presolvedone++; 1544 if (pc->presolvedone > 2) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot embed PCPreSolve() more than twice"); 1545 ierr = KSPGetSolution(ksp,&x);CHKERRQ(ierr); 1546 ierr = KSPGetRhs(ksp,&rhs);CHKERRQ(ierr); 1547 1548 if (pc->ops->presolve) { 1549 ierr = (*pc->ops->presolve)(pc,ksp,rhs,x);CHKERRQ(ierr); 1550 } 1551 PetscFunctionReturn(0); 1552 } 1553 1554 /*@ 1555 PCPostSolve - Optional post-solve phase, intended for any 1556 preconditioner-specific actions that must be performed after 1557 the iterative solve itself. 1558 1559 Collective on PC 1560 1561 Input Parameters: 1562 + pc - the preconditioner context 1563 - ksp - the Krylov subspace context 1564 1565 Sample of Usage: 1566 .vb 1567 PCPreSolve(pc,ksp); 1568 KSPSolve(ksp,b,x); 1569 PCPostSolve(pc,ksp); 1570 .ve 1571 1572 Note: 1573 KSPSolve() calls this routine directly, so it is rarely called by the user. 1574 1575 Level: developer 1576 1577 .seealso: PCPreSolve(), KSPSolve() 1578 @*/ 1579 PetscErrorCode PCPostSolve(PC pc,KSP ksp) 1580 { 1581 PetscErrorCode ierr; 1582 Vec x,rhs; 1583 1584 PetscFunctionBegin; 1585 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1586 PetscValidHeaderSpecific(ksp,KSP_CLASSID,2); 1587 pc->presolvedone--; 1588 ierr = KSPGetSolution(ksp,&x);CHKERRQ(ierr); 1589 ierr = KSPGetRhs(ksp,&rhs);CHKERRQ(ierr); 1590 if (pc->ops->postsolve) { 1591 ierr = (*pc->ops->postsolve)(pc,ksp,rhs,x);CHKERRQ(ierr); 1592 } 1593 PetscFunctionReturn(0); 1594 } 1595 1596 /*@C 1597 PCLoad - Loads a PC that has been stored in binary with PCView(). 1598 1599 Collective on PetscViewer 1600 1601 Input Parameters: 1602 + newdm - the newly loaded PC, this needs to have been created with PCCreate() or 1603 some related function before a call to PCLoad(). 1604 - viewer - binary file viewer, obtained from PetscViewerBinaryOpen() 1605 1606 Level: intermediate 1607 1608 Notes: 1609 The type is determined by the data in the file, any type set into the PC before this call is ignored. 1610 1611 Notes for advanced users: 1612 Most users should not need to know the details of the binary storage 1613 format, since PCLoad() and PCView() completely hide these details. 1614 But for anyone who's interested, the standard binary matrix storage 1615 format is 1616 .vb 1617 has not yet been determined 1618 .ve 1619 1620 .seealso: PetscViewerBinaryOpen(), PCView(), MatLoad(), VecLoad() 1621 @*/ 1622 PetscErrorCode PCLoad(PC newdm, PetscViewer viewer) 1623 { 1624 PetscErrorCode ierr; 1625 PetscBool isbinary; 1626 PetscInt classid; 1627 char type[256]; 1628 1629 PetscFunctionBegin; 1630 PetscValidHeaderSpecific(newdm,PC_CLASSID,1); 1631 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); 1632 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1633 if (!isbinary) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()"); 1634 1635 ierr = PetscViewerBinaryRead(viewer,&classid,1,NULL,PETSC_INT);CHKERRQ(ierr); 1636 if (classid != PC_FILE_CLASSID) SETERRQ(PetscObjectComm((PetscObject)newdm),PETSC_ERR_ARG_WRONG,"Not PC next in file"); 1637 ierr = PetscViewerBinaryRead(viewer,type,256,NULL,PETSC_CHAR);CHKERRQ(ierr); 1638 ierr = PCSetType(newdm, type);CHKERRQ(ierr); 1639 if (newdm->ops->load) { 1640 ierr = (*newdm->ops->load)(newdm,viewer);CHKERRQ(ierr); 1641 } 1642 PetscFunctionReturn(0); 1643 } 1644 1645 #include <petscdraw.h> 1646 #if defined(PETSC_HAVE_SAWS) 1647 #include <petscviewersaws.h> 1648 #endif 1649 1650 /*@C 1651 PCViewFromOptions - View from Options 1652 1653 Collective on PC 1654 1655 Input Parameters: 1656 + A - the PC context 1657 . obj - Optional object 1658 - name - command line option 1659 1660 Level: intermediate 1661 .seealso: PC, PCView, PetscObjectViewFromOptions(), PCCreate() 1662 @*/ 1663 PetscErrorCode PCViewFromOptions(PC A,PetscObject obj,const char name[]) 1664 { 1665 PetscErrorCode ierr; 1666 1667 PetscFunctionBegin; 1668 PetscValidHeaderSpecific(A,PC_CLASSID,1); 1669 ierr = PetscObjectViewFromOptions((PetscObject)A,obj,name);CHKERRQ(ierr); 1670 PetscFunctionReturn(0); 1671 } 1672 1673 /*@C 1674 PCView - Prints the PC data structure. 1675 1676 Collective on PC 1677 1678 Input Parameters: 1679 + PC - the PC context 1680 - viewer - optional visualization context 1681 1682 Note: 1683 The available visualization contexts include 1684 + PETSC_VIEWER_STDOUT_SELF - standard output (default) 1685 - PETSC_VIEWER_STDOUT_WORLD - synchronized standard 1686 output where only the first processor opens 1687 the file. All other processors send their 1688 data to the first processor to print. 1689 1690 The user can open an alternative visualization contexts with 1691 PetscViewerASCIIOpen() (output to a specified file). 1692 1693 Level: developer 1694 1695 .seealso: KSPView(), PetscViewerASCIIOpen() 1696 @*/ 1697 PetscErrorCode PCView(PC pc,PetscViewer viewer) 1698 { 1699 PCType cstr; 1700 PetscErrorCode ierr; 1701 PetscBool iascii,isstring,isbinary,isdraw; 1702 #if defined(PETSC_HAVE_SAWS) 1703 PetscBool issaws; 1704 #endif 1705 1706 PetscFunctionBegin; 1707 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1708 if (!viewer) { 1709 ierr = PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)pc),&viewer);CHKERRQ(ierr); 1710 } 1711 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); 1712 PetscCheckSameComm(pc,1,viewer,2); 1713 1714 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 1715 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr); 1716 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1717 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 1718 #if defined(PETSC_HAVE_SAWS) 1719 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSAWS,&issaws);CHKERRQ(ierr); 1720 #endif 1721 1722 if (iascii) { 1723 ierr = PetscObjectPrintClassNamePrefixType((PetscObject)pc,viewer);CHKERRQ(ierr); 1724 if (!pc->setupcalled) { 1725 ierr = PetscViewerASCIIPrintf(viewer," PC has not been set up so information may be incomplete\n");CHKERRQ(ierr); 1726 } 1727 if (pc->ops->view) { 1728 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 1729 ierr = (*pc->ops->view)(pc,viewer);CHKERRQ(ierr); 1730 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 1731 } 1732 if (pc->mat) { 1733 ierr = PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO);CHKERRQ(ierr); 1734 if (pc->pmat == pc->mat) { 1735 ierr = PetscViewerASCIIPrintf(viewer," linear system matrix = precond matrix:\n");CHKERRQ(ierr); 1736 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 1737 ierr = MatView(pc->mat,viewer);CHKERRQ(ierr); 1738 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 1739 } else { 1740 if (pc->pmat) { 1741 ierr = PetscViewerASCIIPrintf(viewer," linear system matrix followed by preconditioner matrix:\n");CHKERRQ(ierr); 1742 } else { 1743 ierr = PetscViewerASCIIPrintf(viewer," linear system matrix:\n");CHKERRQ(ierr); 1744 } 1745 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 1746 ierr = MatView(pc->mat,viewer);CHKERRQ(ierr); 1747 if (pc->pmat) {ierr = MatView(pc->pmat,viewer);CHKERRQ(ierr);} 1748 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 1749 } 1750 ierr = PetscViewerPopFormat(viewer);CHKERRQ(ierr); 1751 } 1752 } else if (isstring) { 1753 ierr = PCGetType(pc,&cstr);CHKERRQ(ierr); 1754 ierr = PetscViewerStringSPrintf(viewer," PCType: %-7.7s",cstr);CHKERRQ(ierr); 1755 if (pc->ops->view) {ierr = (*pc->ops->view)(pc,viewer);CHKERRQ(ierr);} 1756 if (pc->mat) {ierr = MatView(pc->mat,viewer);CHKERRQ(ierr);} 1757 if (pc->pmat && pc->pmat != pc->mat) {ierr = MatView(pc->pmat,viewer);CHKERRQ(ierr);} 1758 } else if (isbinary) { 1759 PetscInt classid = PC_FILE_CLASSID; 1760 MPI_Comm comm; 1761 PetscMPIInt rank; 1762 char type[256]; 1763 1764 ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr); 1765 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 1766 if (!rank) { 1767 ierr = PetscViewerBinaryWrite(viewer,&classid,1,PETSC_INT);CHKERRQ(ierr); 1768 ierr = PetscStrncpy(type,((PetscObject)pc)->type_name,256);CHKERRQ(ierr); 1769 ierr = PetscViewerBinaryWrite(viewer,type,256,PETSC_CHAR);CHKERRQ(ierr); 1770 } 1771 if (pc->ops->view) { 1772 ierr = (*pc->ops->view)(pc,viewer);CHKERRQ(ierr); 1773 } 1774 } else if (isdraw) { 1775 PetscDraw draw; 1776 char str[25]; 1777 PetscReal x,y,bottom,h; 1778 PetscInt n; 1779 1780 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 1781 ierr = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr); 1782 if (pc->mat) { 1783 ierr = MatGetSize(pc->mat,&n,NULL);CHKERRQ(ierr); 1784 ierr = PetscSNPrintf(str,25,"PC: %s (%D)",((PetscObject)pc)->type_name,n);CHKERRQ(ierr); 1785 } else { 1786 ierr = PetscSNPrintf(str,25,"PC: %s",((PetscObject)pc)->type_name);CHKERRQ(ierr); 1787 } 1788 ierr = PetscDrawStringBoxed(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);CHKERRQ(ierr); 1789 bottom = y - h; 1790 ierr = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr); 1791 if (pc->ops->view) { 1792 ierr = (*pc->ops->view)(pc,viewer);CHKERRQ(ierr); 1793 } 1794 ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr); 1795 #if defined(PETSC_HAVE_SAWS) 1796 } else if (issaws) { 1797 PetscMPIInt rank; 1798 1799 ierr = PetscObjectName((PetscObject)pc);CHKERRQ(ierr); 1800 ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr); 1801 if (!((PetscObject)pc)->amsmem && !rank) { 1802 ierr = PetscObjectViewSAWs((PetscObject)pc,viewer);CHKERRQ(ierr); 1803 } 1804 if (pc->mat) {ierr = MatView(pc->mat,viewer);CHKERRQ(ierr);} 1805 if (pc->pmat && pc->pmat != pc->mat) {ierr = MatView(pc->pmat,viewer);CHKERRQ(ierr);} 1806 #endif 1807 } 1808 PetscFunctionReturn(0); 1809 } 1810 1811 /*@C 1812 PCRegister - Adds a method to the preconditioner package. 1813 1814 Not collective 1815 1816 Input Parameters: 1817 + name_solver - name of a new user-defined solver 1818 - routine_create - routine to create method context 1819 1820 Notes: 1821 PCRegister() may be called multiple times to add several user-defined preconditioners. 1822 1823 Sample usage: 1824 .vb 1825 PCRegister("my_solver", MySolverCreate); 1826 .ve 1827 1828 Then, your solver can be chosen with the procedural interface via 1829 $ PCSetType(pc,"my_solver") 1830 or at runtime via the option 1831 $ -pc_type my_solver 1832 1833 Level: advanced 1834 1835 .seealso: PCRegisterAll() 1836 @*/ 1837 PetscErrorCode PCRegister(const char sname[],PetscErrorCode (*function)(PC)) 1838 { 1839 PetscErrorCode ierr; 1840 1841 PetscFunctionBegin; 1842 ierr = PCInitializePackage();CHKERRQ(ierr); 1843 ierr = PetscFunctionListAdd(&PCList,sname,function);CHKERRQ(ierr); 1844 PetscFunctionReturn(0); 1845 } 1846 1847 static PetscErrorCode MatMult_PC(Mat A,Vec X,Vec Y) 1848 { 1849 PC pc; 1850 PetscErrorCode ierr; 1851 1852 PetscFunctionBegin; 1853 ierr = MatShellGetContext(A,&pc);CHKERRQ(ierr); 1854 ierr = PCApply(pc,X,Y);CHKERRQ(ierr); 1855 PetscFunctionReturn(0); 1856 } 1857 1858 /*@ 1859 PCComputeOperator - Computes the explicit preconditioned operator. 1860 1861 Collective on PC 1862 1863 Input Parameter: 1864 + pc - the preconditioner object 1865 - mattype - the matrix type to be used for the operator 1866 1867 Output Parameter: 1868 . mat - the explict preconditioned operator 1869 1870 Notes: 1871 This computation is done by applying the operators to columns of the identity matrix. 1872 This routine is costly in general, and is recommended for use only with relatively small systems. 1873 Currently, this routine uses a dense matrix format when mattype == NULL 1874 1875 Level: advanced 1876 1877 .seealso: KSPComputeOperator(), MatType 1878 1879 @*/ 1880 PetscErrorCode PCComputeOperator(PC pc,MatType mattype,Mat *mat) 1881 { 1882 PetscErrorCode ierr; 1883 PetscInt N,M,m,n; 1884 Mat A,Apc; 1885 1886 PetscFunctionBegin; 1887 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1888 PetscValidPointer(mat,3); 1889 ierr = PCGetOperators(pc,&A,NULL);CHKERRQ(ierr); 1890 ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr); 1891 ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr); 1892 ierr = MatCreateShell(PetscObjectComm((PetscObject)pc),m,n,M,N,pc,&Apc);CHKERRQ(ierr); 1893 ierr = MatShellSetOperation(Apc,MATOP_MULT,(void (*)(void))MatMult_PC);CHKERRQ(ierr); 1894 ierr = MatComputeOperator(Apc,mattype,mat);CHKERRQ(ierr); 1895 ierr = MatDestroy(&Apc);CHKERRQ(ierr); 1896 PetscFunctionReturn(0); 1897 } 1898 1899 /*@ 1900 PCSetCoordinates - sets the coordinates of all the nodes on the local process 1901 1902 Collective on PC 1903 1904 Input Parameters: 1905 + pc - the solver context 1906 . dim - the dimension of the coordinates 1, 2, or 3 1907 . nloc - the blocked size of the coordinates array 1908 - coords - the coordinates array 1909 1910 Level: intermediate 1911 1912 Notes: 1913 coords is an array of the dim coordinates for the nodes on 1914 the local processor, of size dim*nloc. 1915 If there are 108 equation on a processor 1916 for a displacement finite element discretization of elasticity (so 1917 that there are nloc = 36 = 108/3 nodes) then the array must have 108 1918 double precision values (ie, 3 * 36). These x y z coordinates 1919 should be ordered for nodes 0 to N-1 like so: [ 0.x, 0.y, 0.z, 1.x, 1920 ... , N-1.z ]. 1921 1922 .seealso: MatSetNearNullSpace() 1923 @*/ 1924 PetscErrorCode PCSetCoordinates(PC pc, PetscInt dim, PetscInt nloc, PetscReal coords[]) 1925 { 1926 PetscErrorCode ierr; 1927 1928 PetscFunctionBegin; 1929 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1930 PetscValidLogicalCollectiveInt(pc,dim,2); 1931 ierr = PetscTryMethod(pc,"PCSetCoordinates_C",(PC,PetscInt,PetscInt,PetscReal*),(pc,dim,nloc,coords));CHKERRQ(ierr); 1932 PetscFunctionReturn(0); 1933 } 1934 1935 /*@ 1936 PCGetInterpolations - Gets interpolation matrices for all levels (except level 0) 1937 1938 Logically Collective on PC 1939 1940 Input Parameters: 1941 + pc - the precondition context 1942 1943 Output Parameter: 1944 - num_levels - the number of levels 1945 . interpolations - the interpolation matrices (size of num_levels-1) 1946 1947 Level: advanced 1948 1949 .keywords: MG, GAMG, BoomerAMG, multigrid, interpolation, level 1950 1951 .seealso: PCMGGetRestriction(), PCMGSetInterpolation(), PCMGGetInterpolation(), PCGetCoarseOperators() 1952 @*/ 1953 PetscErrorCode PCGetInterpolations(PC pc,PetscInt *num_levels,Mat *interpolations[]) 1954 { 1955 PetscErrorCode ierr; 1956 1957 PetscFunctionBegin; 1958 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1959 PetscValidPointer(num_levels,2); 1960 PetscValidPointer(interpolations,3); 1961 ierr = PetscUseMethod(pc,"PCGetInterpolations_C",(PC,PetscInt*,Mat*[]),(pc,num_levels,interpolations));CHKERRQ(ierr); 1962 PetscFunctionReturn(0); 1963 } 1964 1965 /*@ 1966 PCGetCoarseOperators - Gets coarse operator matrices for all levels (except the finest level) 1967 1968 Logically Collective on PC 1969 1970 Input Parameters: 1971 + pc - the precondition context 1972 1973 Output Parameter: 1974 - num_levels - the number of levels 1975 . coarseOperators - the coarse operator matrices (size of num_levels-1) 1976 1977 Level: advanced 1978 1979 .keywords: MG, GAMG, BoomerAMG, get, multigrid, interpolation, level 1980 1981 .seealso: PCMGGetRestriction(), PCMGSetInterpolation(), PCMGGetRScale(), PCMGGetInterpolation(), PCGetInterpolations() 1982 @*/ 1983 PetscErrorCode PCGetCoarseOperators(PC pc,PetscInt *num_levels,Mat *coarseOperators[]) 1984 { 1985 PetscErrorCode ierr; 1986 1987 PetscFunctionBegin; 1988 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1989 PetscValidPointer(num_levels,2); 1990 PetscValidPointer(coarseOperators,3); 1991 ierr = PetscUseMethod(pc,"PCGetCoarseOperators_C",(PC,PetscInt*,Mat*[]),(pc,num_levels,coarseOperators));CHKERRQ(ierr); 1992 PetscFunctionReturn(0); 1993 } 1994