1 2 /* 3 The basic KSP routines, Create, View etc. are here. 4 */ 5 #include <petsc/private/kspimpl.h> /*I "petscksp.h" I*/ 6 7 /* Logging support */ 8 PetscClassId KSP_CLASSID; 9 PetscClassId DMKSP_CLASSID; 10 PetscClassId KSPGUESS_CLASSID; 11 PetscLogEvent KSP_GMRESOrthogonalization, KSP_SetUp, KSP_Solve; 12 13 /* 14 Contains the list of registered KSP routines 15 */ 16 PetscFunctionList KSPList = 0; 17 PetscBool KSPRegisterAllCalled = PETSC_FALSE; 18 19 /*@C 20 KSPLoad - Loads a KSP that has been stored in binary with KSPView(). 21 22 Collective on PetscViewer 23 24 Input Parameters: 25 + newdm - the newly loaded KSP, this needs to have been created with KSPCreate() or 26 some related function before a call to KSPLoad(). 27 - viewer - binary file viewer, obtained from PetscViewerBinaryOpen() 28 29 Level: intermediate 30 31 Notes: 32 The type is determined by the data in the file, any type set into the KSP before this call is ignored. 33 34 Notes for advanced users: 35 Most users should not need to know the details of the binary storage 36 format, since KSPLoad() and KSPView() completely hide these details. 37 But for anyone who's interested, the standard binary matrix storage 38 format is 39 .vb 40 has not yet been determined 41 .ve 42 43 .seealso: PetscViewerBinaryOpen(), KSPView(), MatLoad(), VecLoad() 44 @*/ 45 PetscErrorCode KSPLoad(KSP newdm, PetscViewer viewer) 46 { 47 PetscErrorCode ierr; 48 PetscBool isbinary; 49 PetscInt classid; 50 char type[256]; 51 PC pc; 52 53 PetscFunctionBegin; 54 PetscValidHeaderSpecific(newdm,KSP_CLASSID,1); 55 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); 56 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 57 if (!isbinary) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()"); 58 59 ierr = PetscViewerBinaryRead(viewer,&classid,1,NULL,PETSC_INT);CHKERRQ(ierr); 60 if (classid != KSP_FILE_CLASSID) SETERRQ(PetscObjectComm((PetscObject)newdm),PETSC_ERR_ARG_WRONG,"Not KSP next in file"); 61 ierr = PetscViewerBinaryRead(viewer,type,256,NULL,PETSC_CHAR);CHKERRQ(ierr); 62 ierr = KSPSetType(newdm, type);CHKERRQ(ierr); 63 if (newdm->ops->load) { 64 ierr = (*newdm->ops->load)(newdm,viewer);CHKERRQ(ierr); 65 } 66 ierr = KSPGetPC(newdm,&pc);CHKERRQ(ierr); 67 ierr = PCLoad(pc,viewer);CHKERRQ(ierr); 68 PetscFunctionReturn(0); 69 } 70 71 #include <petscdraw.h> 72 #if defined(PETSC_HAVE_SAWS) 73 #include <petscviewersaws.h> 74 #endif 75 /*@C 76 KSPView - Prints the KSP data structure. 77 78 Collective on KSP 79 80 Input Parameters: 81 + ksp - the Krylov space context 82 - viewer - visualization context 83 84 Options Database Keys: 85 . -ksp_view - print the ksp data structure at the end of a KSPSolve call 86 87 Note: 88 The available visualization contexts include 89 + PETSC_VIEWER_STDOUT_SELF - standard output (default) 90 - PETSC_VIEWER_STDOUT_WORLD - synchronized standard 91 output where only the first processor opens 92 the file. All other processors send their 93 data to the first processor to print. 94 95 The user can open an alternative visualization context with 96 PetscViewerASCIIOpen() - output to a specified file. 97 98 Level: beginner 99 100 .keywords: KSP, view 101 102 .seealso: PCView(), PetscViewerASCIIOpen() 103 @*/ 104 PetscErrorCode KSPView(KSP ksp,PetscViewer viewer) 105 { 106 PetscErrorCode ierr; 107 PetscBool iascii,isbinary,isdraw; 108 #if defined(PETSC_HAVE_SAWS) 109 PetscBool issaws; 110 #endif 111 112 PetscFunctionBegin; 113 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 114 if (!viewer) { 115 ierr = PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)ksp),&viewer);CHKERRQ(ierr); 116 } 117 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); 118 PetscCheckSameComm(ksp,1,viewer,2); 119 120 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 121 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 122 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 123 #if defined(PETSC_HAVE_SAWS) 124 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSAWS,&issaws);CHKERRQ(ierr); 125 #endif 126 if (iascii) { 127 PetscInt tabs; 128 ierr = PetscViewerASCIIGetTab(viewer, &tabs);CHKERRQ(ierr); 129 ierr = PetscViewerASCIISetTab(viewer, ((PetscObject)ksp)->tablevel);CHKERRQ(ierr); 130 ierr = PetscObjectPrintClassNamePrefixType((PetscObject)ksp,viewer);CHKERRQ(ierr); 131 if (ksp->ops->view) { 132 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 133 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 134 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 135 } 136 if (ksp->guess_zero) { 137 ierr = PetscViewerASCIIPrintf(viewer," maximum iterations=%D, initial guess is zero\n",ksp->max_it);CHKERRQ(ierr); 138 } else { 139 ierr = PetscViewerASCIIPrintf(viewer," maximum iterations=%D, nonzero initial guess\n", ksp->max_it);CHKERRQ(ierr); 140 } 141 if (ksp->guess_knoll) {ierr = PetscViewerASCIIPrintf(viewer," using preconditioner applied to right hand side for initial guess\n");CHKERRQ(ierr);} 142 ierr = PetscViewerASCIIPrintf(viewer," tolerances: relative=%g, absolute=%g, divergence=%g\n",(double)ksp->rtol,(double)ksp->abstol,(double)ksp->divtol);CHKERRQ(ierr); 143 if (ksp->pc_side == PC_RIGHT) { 144 ierr = PetscViewerASCIIPrintf(viewer," right preconditioning\n");CHKERRQ(ierr); 145 } else if (ksp->pc_side == PC_SYMMETRIC) { 146 ierr = PetscViewerASCIIPrintf(viewer," symmetric preconditioning\n");CHKERRQ(ierr); 147 } else { 148 ierr = PetscViewerASCIIPrintf(viewer," left preconditioning\n");CHKERRQ(ierr); 149 } 150 if (ksp->guess) { 151 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 152 ierr = KSPGuessView(ksp->guess,viewer);CHKERRQ(ierr); 153 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 154 } 155 if (ksp->dscale) {ierr = PetscViewerASCIIPrintf(viewer," diagonally scaled system\n");CHKERRQ(ierr);} 156 ierr = PetscViewerASCIIPrintf(viewer," using %s norm type for convergence test\n",KSPNormTypes[ksp->normtype]);CHKERRQ(ierr); 157 ierr = PetscViewerASCIISetTab(viewer, tabs);CHKERRQ(ierr); 158 } else if (isbinary) { 159 PetscInt classid = KSP_FILE_CLASSID; 160 MPI_Comm comm; 161 PetscMPIInt rank; 162 char type[256]; 163 164 ierr = PetscObjectGetComm((PetscObject)ksp,&comm);CHKERRQ(ierr); 165 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 166 if (!rank) { 167 ierr = PetscViewerBinaryWrite(viewer,&classid,1,PETSC_INT,PETSC_FALSE);CHKERRQ(ierr); 168 ierr = PetscStrncpy(type,((PetscObject)ksp)->type_name,256);CHKERRQ(ierr); 169 ierr = PetscViewerBinaryWrite(viewer,type,256,PETSC_CHAR,PETSC_FALSE);CHKERRQ(ierr); 170 } 171 if (ksp->ops->view) { 172 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 173 } 174 } else if (isdraw) { 175 PetscDraw draw; 176 char str[36]; 177 PetscReal x,y,bottom,h; 178 PetscBool flg; 179 180 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 181 ierr = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr); 182 ierr = PetscObjectTypeCompare((PetscObject)ksp,KSPPREONLY,&flg);CHKERRQ(ierr); 183 if (!flg) { 184 ierr = PetscStrncpy(str,"KSP: ",sizeof(str));CHKERRQ(ierr); 185 ierr = PetscStrlcat(str,((PetscObject)ksp)->type_name,sizeof(str));CHKERRQ(ierr); 186 ierr = PetscDrawStringBoxed(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);CHKERRQ(ierr); 187 bottom = y - h; 188 } else { 189 bottom = y; 190 } 191 ierr = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr); 192 #if defined(PETSC_HAVE_SAWS) 193 } else if (issaws) { 194 PetscMPIInt rank; 195 const char *name; 196 197 ierr = PetscObjectGetName((PetscObject)ksp,&name);CHKERRQ(ierr); 198 ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr); 199 if (!((PetscObject)ksp)->amsmem && !rank) { 200 char dir[1024]; 201 202 ierr = PetscObjectViewSAWs((PetscObject)ksp,viewer);CHKERRQ(ierr); 203 ierr = PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/its",name);CHKERRQ(ierr); 204 PetscStackCallSAWs(SAWs_Register,(dir,&ksp->its,1,SAWs_READ,SAWs_INT)); 205 if (!ksp->res_hist) { 206 ierr = KSPSetResidualHistory(ksp,NULL,PETSC_DECIDE,PETSC_TRUE);CHKERRQ(ierr); 207 } 208 ierr = PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/res_hist",name);CHKERRQ(ierr); 209 PetscStackCallSAWs(SAWs_Register,(dir,ksp->res_hist,10,SAWs_READ,SAWs_DOUBLE)); 210 } 211 #endif 212 } else if (ksp->ops->view) { 213 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 214 } 215 if (!ksp->skippcsetfromoptions) { 216 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 217 ierr = PCView(ksp->pc,viewer);CHKERRQ(ierr); 218 } 219 if (isdraw) { 220 PetscDraw draw; 221 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 222 ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr); 223 } 224 PetscFunctionReturn(0); 225 } 226 227 228 /*@ 229 KSPSetNormType - Sets the norm that is used for convergence testing. 230 231 Logically Collective on KSP 232 233 Input Parameter: 234 + ksp - Krylov solver context 235 - normtype - one of 236 $ KSP_NORM_NONE - skips computing the norm, this should only be used if you are using 237 $ the Krylov method as a smoother with a fixed small number of iterations. 238 $ Implicitly sets KSPConvergedSkip as KSP convergence test. 239 $ KSP_NORM_PRECONDITIONED - the default for left preconditioned solves, uses the l2 norm 240 $ of the preconditioned residual P^{-1}(b - A x) 241 $ KSP_NORM_UNPRECONDITIONED - uses the l2 norm of the true b - Ax residual. 242 $ KSP_NORM_NATURAL - supported by KSPCG, KSPCR, KSPCGNE, KSPCGS 243 244 245 Options Database Key: 246 . -ksp_norm_type <none,preconditioned,unpreconditioned,natural> 247 248 Notes: 249 Not all combinations of preconditioner side (see KSPSetPCSide()) and norm type are supported by all Krylov methods. 250 If only one is set, PETSc tries to automatically change the other to find a compatible pair. If no such combination 251 is supported, PETSc will generate an error. 252 253 Developer Notes: 254 Supported combinations of norm and preconditioner side are set using KSPSetSupportedNorm(). 255 256 Level: advanced 257 258 .keywords: KSP, create, context, norms 259 260 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetCheckNormIteration(), KSPSetPCSide(), KSPGetPCSide(), KSPNormType 261 @*/ 262 PetscErrorCode KSPSetNormType(KSP ksp,KSPNormType normtype) 263 { 264 PetscFunctionBegin; 265 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 266 PetscValidLogicalCollectiveEnum(ksp,normtype,2); 267 ksp->normtype = ksp->normtype_set = normtype; 268 PetscFunctionReturn(0); 269 } 270 271 /*@ 272 KSPSetCheckNormIteration - Sets the first iteration at which the norm of the residual will be 273 computed and used in the convergence test. 274 275 Logically Collective on KSP 276 277 Input Parameter: 278 + ksp - Krylov solver context 279 - it - use -1 to check at all iterations 280 281 Notes: 282 Currently only works with KSPCG, KSPBCGS and KSPIBCGS 283 284 Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm 285 286 On steps where the norm is not computed, the previous norm is still in the variable, so if you run with, for example, 287 -ksp_monitor the residual norm will appear to be unchanged for several iterations (though it is not really unchanged). 288 Level: advanced 289 290 .keywords: KSP, create, context, norms 291 292 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType() 293 @*/ 294 PetscErrorCode KSPSetCheckNormIteration(KSP ksp,PetscInt it) 295 { 296 PetscFunctionBegin; 297 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 298 PetscValidLogicalCollectiveInt(ksp,it,2); 299 ksp->chknorm = it; 300 PetscFunctionReturn(0); 301 } 302 303 /*@ 304 KSPSetLagNorm - Lags the residual norm calculation so that it is computed as part of the MPI_Allreduce() for 305 computing the inner products for the next iteration. This can reduce communication costs at the expense of doing 306 one additional iteration. 307 308 309 Logically Collective on KSP 310 311 Input Parameter: 312 + ksp - Krylov solver context 313 - flg - PETSC_TRUE or PETSC_FALSE 314 315 Options Database Keys: 316 . -ksp_lag_norm - lag the calculated residual norm 317 318 Notes: 319 Currently only works with KSPIBCGS. 320 321 Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm 322 323 If you lag the norm and run with, for example, -ksp_monitor, the residual norm reported will be the lagged one. 324 Level: advanced 325 326 .keywords: KSP, create, context, norms 327 328 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType(), KSPSetCheckNormIteration() 329 @*/ 330 PetscErrorCode KSPSetLagNorm(KSP ksp,PetscBool flg) 331 { 332 PetscFunctionBegin; 333 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 334 PetscValidLogicalCollectiveBool(ksp,flg,2); 335 ksp->lagnorm = flg; 336 PetscFunctionReturn(0); 337 } 338 339 /*@ 340 KSPSetSupportedNorm - Sets a norm and preconditioner side supported by a KSP 341 342 Logically Collective 343 344 Input Arguments: 345 + ksp - Krylov method 346 . normtype - supported norm type 347 . pcside - preconditioner side that can be used with this norm 348 - priority - positive integer preference for this combination; larger values have higher priority 349 350 Level: developer 351 352 Notes: 353 This function should be called from the implementation files KSPCreate_XXX() to declare 354 which norms and preconditioner sides are supported. Users should not need to call this 355 function. 356 357 .seealso: KSPSetNormType(), KSPSetPCSide() 358 @*/ 359 PetscErrorCode KSPSetSupportedNorm(KSP ksp,KSPNormType normtype,PCSide pcside,PetscInt priority) 360 { 361 362 PetscFunctionBegin; 363 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 364 ksp->normsupporttable[normtype][pcside] = priority; 365 PetscFunctionReturn(0); 366 } 367 368 PetscErrorCode KSPNormSupportTableReset_Private(KSP ksp) 369 { 370 PetscErrorCode ierr; 371 372 PetscFunctionBegin; 373 ierr = PetscMemzero(ksp->normsupporttable,sizeof(ksp->normsupporttable));CHKERRQ(ierr); 374 ksp->pc_side = ksp->pc_side_set; 375 ksp->normtype = ksp->normtype_set; 376 PetscFunctionReturn(0); 377 } 378 379 PetscErrorCode KSPSetUpNorms_Private(KSP ksp,PetscBool errorifnotsupported,KSPNormType *normtype,PCSide *pcside) 380 { 381 PetscInt i,j,best,ibest = 0,jbest = 0; 382 383 PetscFunctionBegin; 384 best = 0; 385 for (i=0; i<KSP_NORM_MAX; i++) { 386 for (j=0; j<PC_SIDE_MAX; j++) { 387 if ((ksp->normtype == KSP_NORM_DEFAULT || ksp->normtype == i) && (ksp->pc_side == PC_SIDE_DEFAULT || ksp->pc_side == j) && (ksp->normsupporttable[i][j] > best)) { 388 best = ksp->normsupporttable[i][j]; 389 ibest = i; 390 jbest = j; 391 } 392 } 393 } 394 if (best < 1 && errorifnotsupported) { 395 if (ksp->normtype == KSP_NORM_DEFAULT && ksp->pc_side == PC_SIDE_DEFAULT) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_PLIB,"The %s KSP implementation did not call KSPSetSupportedNorm()",((PetscObject)ksp)->type_name); 396 if (ksp->normtype == KSP_NORM_DEFAULT) SETERRQ2(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s",((PetscObject)ksp)->type_name,PCSides[ksp->pc_side]); 397 if (ksp->pc_side == PC_SIDE_DEFAULT) SETERRQ2(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s",((PetscObject)ksp)->type_name,KSPNormTypes[ksp->normtype]); 398 SETERRQ3(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"KSP %s does not support %s with %s",((PetscObject)ksp)->type_name,KSPNormTypes[ksp->normtype],PCSides[ksp->pc_side]); 399 } 400 if (normtype) *normtype = (KSPNormType)ibest; 401 if (pcside) *pcside = (PCSide)jbest; 402 PetscFunctionReturn(0); 403 } 404 405 /*@ 406 KSPGetNormType - Gets the norm that is used for convergence testing. 407 408 Not Collective 409 410 Input Parameter: 411 . ksp - Krylov solver context 412 413 Output Parameter: 414 . normtype - norm that is used for convergence testing 415 416 Level: advanced 417 418 .keywords: KSP, create, context, norms 419 420 .seealso: KSPNormType, KSPSetNormType(), KSPConvergedSkip() 421 @*/ 422 PetscErrorCode KSPGetNormType(KSP ksp, KSPNormType *normtype) 423 { 424 PetscErrorCode ierr; 425 426 PetscFunctionBegin; 427 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 428 PetscValidPointer(normtype,2); 429 ierr = KSPSetUpNorms_Private(ksp,PETSC_TRUE,&ksp->normtype,&ksp->pc_side);CHKERRQ(ierr); 430 *normtype = ksp->normtype; 431 PetscFunctionReturn(0); 432 } 433 434 #if defined(PETSC_HAVE_SAWS) 435 #include <petscviewersaws.h> 436 #endif 437 438 /*@ 439 KSPSetOperators - Sets the matrix associated with the linear system 440 and a (possibly) different one associated with the preconditioner. 441 442 Collective on KSP and Mat 443 444 Input Parameters: 445 + ksp - the KSP context 446 . Amat - the matrix that defines the linear system 447 - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat. 448 449 Notes: 450 451 If you know the operator Amat has a null space you can use MatSetNullSpace() and MatSetTransposeNullSpace() to supply the null 452 space to Amat and the KSP solvers will automatically use that null space as needed during the solution process. 453 454 All future calls to KSPSetOperators() must use the same size matrices! 455 456 Passing a NULL for Amat or Pmat removes the matrix that is currently used. 457 458 If you wish to replace either Amat or Pmat but leave the other one untouched then 459 first call KSPGetOperators() to get the one you wish to keep, call PetscObjectReference() 460 on it and then pass it back in in your call to KSPSetOperators(). 461 462 Level: beginner 463 464 Alternative usage: If the operators have NOT been set with KSP/PCSetOperators() then the operators 465 are created in PC and returned to the user. In this case, if both operators 466 mat and pmat are requested, two DIFFERENT operators will be returned. If 467 only one is requested both operators in the PC will be the same (i.e. as 468 if one had called KSP/PCSetOperators() with the same argument for both Mats). 469 The user must set the sizes of the returned matrices and their type etc just 470 as if the user created them with MatCreate(). For example, 471 472 $ KSP/PCGetOperators(ksp/pc,&mat,NULL); is equivalent to 473 $ set size, type, etc of mat 474 475 $ MatCreate(comm,&mat); 476 $ KSP/PCSetOperators(ksp/pc,mat,mat); 477 $ PetscObjectDereference((PetscObject)mat); 478 $ set size, type, etc of mat 479 480 and 481 482 $ KSP/PCGetOperators(ksp/pc,&mat,&pmat); is equivalent to 483 $ set size, type, etc of mat and pmat 484 485 $ MatCreate(comm,&mat); 486 $ MatCreate(comm,&pmat); 487 $ KSP/PCSetOperators(ksp/pc,mat,pmat); 488 $ PetscObjectDereference((PetscObject)mat); 489 $ PetscObjectDereference((PetscObject)pmat); 490 $ set size, type, etc of mat and pmat 491 492 The rational for this support is so that when creating a TS, SNES, or KSP the hierarchy 493 of underlying objects (i.e. SNES, KSP, PC, Mat) and their livespans can be completely 494 managed by the top most level object (i.e. the TS, SNES, or KSP). Another way to look 495 at this is when you create a SNES you do not NEED to create a KSP and attach it to 496 the SNES object (the SNES object manages it for you). Similarly when you create a KSP 497 you do not need to attach a PC to it (the KSP object manages the PC object for you). 498 Thus, why should YOU have to create the Mat and attach it to the SNES/KSP/PC, when 499 it can be created for you? 500 501 .keywords: KSP, set, operators, matrix, preconditioner, linear system 502 503 .seealso: KSPSolve(), KSPGetPC(), PCGetOperators(), PCSetOperators(), KSPGetOperators(), KSPSetComputeOperators(), KSPSetComputeInitialGuess(), KSPSetComputeRHS() 504 @*/ 505 PetscErrorCode KSPSetOperators(KSP ksp,Mat Amat,Mat Pmat) 506 { 507 PetscErrorCode ierr; 508 509 PetscFunctionBegin; 510 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 511 if (Amat) PetscValidHeaderSpecific(Amat,MAT_CLASSID,2); 512 if (Pmat) PetscValidHeaderSpecific(Pmat,MAT_CLASSID,3); 513 if (Amat) PetscCheckSameComm(ksp,1,Amat,2); 514 if (Pmat) PetscCheckSameComm(ksp,1,Pmat,3); 515 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 516 ierr = PCSetOperators(ksp->pc,Amat,Pmat);CHKERRQ(ierr); 517 if (ksp->setupstage == KSP_SETUP_NEWRHS) ksp->setupstage = KSP_SETUP_NEWMATRIX; /* so that next solve call will call PCSetUp() on new matrix */ 518 PetscFunctionReturn(0); 519 } 520 521 /*@ 522 KSPGetOperators - Gets the matrix associated with the linear system 523 and a (possibly) different one associated with the preconditioner. 524 525 Collective on KSP and Mat 526 527 Input Parameter: 528 . ksp - the KSP context 529 530 Output Parameters: 531 + Amat - the matrix that defines the linear system 532 - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat. 533 534 Level: intermediate 535 536 Notes: DOES NOT increase the reference counts of the matrix, so you should NOT destroy them. 537 538 .keywords: KSP, set, get, operators, matrix, preconditioner, linear system 539 540 .seealso: KSPSolve(), KSPGetPC(), PCGetOperators(), PCSetOperators(), KSPSetOperators(), KSPGetOperatorsSet() 541 @*/ 542 PetscErrorCode KSPGetOperators(KSP ksp,Mat *Amat,Mat *Pmat) 543 { 544 PetscErrorCode ierr; 545 546 PetscFunctionBegin; 547 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 548 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 549 ierr = PCGetOperators(ksp->pc,Amat,Pmat);CHKERRQ(ierr); 550 PetscFunctionReturn(0); 551 } 552 553 /*@C 554 KSPGetOperatorsSet - Determines if the matrix associated with the linear system and 555 possibly a different one associated with the preconditioner have been set in the KSP. 556 557 Not collective, though the results on all processes should be the same 558 559 Input Parameter: 560 . pc - the KSP context 561 562 Output Parameters: 563 + mat - the matrix associated with the linear system was set 564 - pmat - matrix associated with the preconditioner was set, usually the same 565 566 Level: intermediate 567 568 .keywords: KSP, get, operators, matrix, linear system 569 570 .seealso: PCSetOperators(), KSPGetOperators(), KSPSetOperators(), PCGetOperators(), PCGetOperatorsSet() 571 @*/ 572 PetscErrorCode KSPGetOperatorsSet(KSP ksp,PetscBool *mat,PetscBool *pmat) 573 { 574 PetscErrorCode ierr; 575 576 PetscFunctionBegin; 577 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 578 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 579 ierr = PCGetOperatorsSet(ksp->pc,mat,pmat);CHKERRQ(ierr); 580 PetscFunctionReturn(0); 581 } 582 583 /*@C 584 KSPSetPreSolve - Sets a function that is called before every KSPSolve() is started 585 586 Logically Collective on KSP 587 588 Input Parameters: 589 + ksp - the solver object 590 . presolve - the function to call before the solve 591 - prectx - any context needed by the function 592 593 Level: developer 594 595 .keywords: KSP, create, context 596 597 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP, KSPSetPostSolve() 598 @*/ 599 PetscErrorCode KSPSetPreSolve(KSP ksp,PetscErrorCode (*presolve)(KSP,Vec,Vec,void*),void *prectx) 600 { 601 PetscFunctionBegin; 602 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 603 ksp->presolve = presolve; 604 ksp->prectx = prectx; 605 PetscFunctionReturn(0); 606 } 607 608 /*@C 609 KSPSetPostSolve - Sets a function that is called after every KSPSolve() completes (whether it converges or not) 610 611 Logically Collective on KSP 612 613 Input Parameters: 614 + ksp - the solver object 615 . postsolve - the function to call after the solve 616 - postctx - any context needed by the function 617 618 Level: developer 619 620 .keywords: KSP, create, context 621 622 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP, KSPSetPreSolve() 623 @*/ 624 PetscErrorCode KSPSetPostSolve(KSP ksp,PetscErrorCode (*postsolve)(KSP,Vec,Vec,void*),void *postctx) 625 { 626 PetscFunctionBegin; 627 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 628 ksp->postsolve = postsolve; 629 ksp->postctx = postctx; 630 PetscFunctionReturn(0); 631 } 632 633 /*@ 634 KSPCreate - Creates the default KSP context. 635 636 Collective on MPI_Comm 637 638 Input Parameter: 639 . comm - MPI communicator 640 641 Output Parameter: 642 . ksp - location to put the KSP context 643 644 Notes: 645 The default KSP type is GMRES with a restart of 30, using modified Gram-Schmidt 646 orthogonalization. 647 648 Level: beginner 649 650 .keywords: KSP, create, context 651 652 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSP 653 @*/ 654 PetscErrorCode KSPCreate(MPI_Comm comm,KSP *inksp) 655 { 656 KSP ksp; 657 PetscErrorCode ierr; 658 void *ctx; 659 660 PetscFunctionBegin; 661 PetscValidPointer(inksp,2); 662 *inksp = 0; 663 ierr = KSPInitializePackage();CHKERRQ(ierr); 664 665 ierr = PetscHeaderCreate(ksp,KSP_CLASSID,"KSP","Krylov Method","KSP",comm,KSPDestroy,KSPView);CHKERRQ(ierr); 666 667 ksp->max_it = 10000; 668 ksp->pc_side = ksp->pc_side_set = PC_SIDE_DEFAULT; 669 ksp->rtol = 1.e-5; 670 #if defined(PETSC_USE_REAL_SINGLE) 671 ksp->abstol = 1.e-25; 672 #else 673 ksp->abstol = 1.e-50; 674 #endif 675 ksp->divtol = 1.e4; 676 677 ksp->chknorm = -1; 678 ksp->normtype = ksp->normtype_set = KSP_NORM_DEFAULT; 679 ksp->rnorm = 0.0; 680 ksp->its = 0; 681 ksp->guess_zero = PETSC_TRUE; 682 ksp->calc_sings = PETSC_FALSE; 683 ksp->res_hist = NULL; 684 ksp->res_hist_alloc = NULL; 685 ksp->res_hist_len = 0; 686 ksp->res_hist_max = 0; 687 ksp->res_hist_reset = PETSC_TRUE; 688 ksp->numbermonitors = 0; 689 690 ierr = KSPConvergedDefaultCreate(&ctx);CHKERRQ(ierr); 691 ierr = KSPSetConvergenceTest(ksp,KSPConvergedDefault,ctx,KSPConvergedDefaultDestroy);CHKERRQ(ierr); 692 ksp->ops->buildsolution = KSPBuildSolutionDefault; 693 ksp->ops->buildresidual = KSPBuildResidualDefault; 694 695 ksp->vec_sol = 0; 696 ksp->vec_rhs = 0; 697 ksp->pc = 0; 698 ksp->data = 0; 699 ksp->nwork = 0; 700 ksp->work = 0; 701 ksp->reason = KSP_CONVERGED_ITERATING; 702 ksp->setupstage = KSP_SETUP_NEW; 703 704 ierr = KSPNormSupportTableReset_Private(ksp);CHKERRQ(ierr); 705 706 *inksp = ksp; 707 PetscFunctionReturn(0); 708 } 709 710 /*@C 711 KSPSetType - Builds KSP for a particular solver. 712 713 Logically Collective on KSP 714 715 Input Parameters: 716 + ksp - the Krylov space context 717 - type - a known method 718 719 Options Database Key: 720 . -ksp_type <method> - Sets the method; use -help for a list 721 of available methods (for instance, cg or gmres) 722 723 Notes: 724 See "petsc/include/petscksp.h" for available methods (for instance, 725 KSPCG or KSPGMRES). 726 727 Normally, it is best to use the KSPSetFromOptions() command and 728 then set the KSP type from the options database rather than by using 729 this routine. Using the options database provides the user with 730 maximum flexibility in evaluating the many different Krylov methods. 731 The KSPSetType() routine is provided for those situations where it 732 is necessary to set the iterative solver independently of the command 733 line or options database. This might be the case, for example, when 734 the choice of iterative solver changes during the execution of the 735 program, and the user's application is taking responsibility for 736 choosing the appropriate method. In other words, this routine is 737 not for beginners. 738 739 Level: intermediate 740 741 Developer Note: KSPRegister() is used to add Krylov types to KSPList from which they 742 are accessed by KSPSetType(). 743 744 .keywords: KSP, set, method 745 746 .seealso: PCSetType(), KSPType, KSPRegister(), KSPCreate() 747 748 @*/ 749 PetscErrorCode KSPSetType(KSP ksp, KSPType type) 750 { 751 PetscErrorCode ierr,(*r)(KSP); 752 PetscBool match; 753 754 PetscFunctionBegin; 755 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 756 PetscValidCharPointer(type,2); 757 758 ierr = PetscObjectTypeCompare((PetscObject)ksp,type,&match);CHKERRQ(ierr); 759 if (match) PetscFunctionReturn(0); 760 761 ierr = PetscFunctionListFind(KSPList,type,&r);CHKERRQ(ierr); 762 if (!r) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unable to find requested KSP type %s",type); 763 /* Destroy the previous private KSP context */ 764 if (ksp->ops->destroy) { 765 ierr = (*ksp->ops->destroy)(ksp);CHKERRQ(ierr); 766 ksp->ops->destroy = NULL; 767 } 768 /* Reinitialize function pointers in KSPOps structure */ 769 ierr = PetscMemzero(ksp->ops,sizeof(struct _KSPOps));CHKERRQ(ierr); 770 ksp->ops->buildsolution = KSPBuildSolutionDefault; 771 ksp->ops->buildresidual = KSPBuildResidualDefault; 772 ierr = KSPNormSupportTableReset_Private(ksp);CHKERRQ(ierr); 773 /* Call the KSPCreate_XXX routine for this particular Krylov solver */ 774 ksp->setupstage = KSP_SETUP_NEW; 775 ierr = PetscObjectChangeTypeName((PetscObject)ksp,type);CHKERRQ(ierr); 776 ierr = (*r)(ksp);CHKERRQ(ierr); 777 PetscFunctionReturn(0); 778 } 779 780 /*@C 781 KSPGetType - Gets the KSP type as a string from the KSP object. 782 783 Not Collective 784 785 Input Parameter: 786 . ksp - Krylov context 787 788 Output Parameter: 789 . name - name of KSP method 790 791 Level: intermediate 792 793 .keywords: KSP, get, method, name 794 795 .seealso: KSPSetType() 796 @*/ 797 PetscErrorCode KSPGetType(KSP ksp,KSPType *type) 798 { 799 PetscFunctionBegin; 800 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 801 PetscValidPointer(type,2); 802 *type = ((PetscObject)ksp)->type_name; 803 PetscFunctionReturn(0); 804 } 805 806 /*@C 807 KSPRegister - Adds a method to the Krylov subspace solver package. 808 809 Not Collective 810 811 Input Parameters: 812 + name_solver - name of a new user-defined solver 813 - routine_create - routine to create method context 814 815 Notes: 816 KSPRegister() may be called multiple times to add several user-defined solvers. 817 818 Sample usage: 819 .vb 820 KSPRegister("my_solver",MySolverCreate); 821 .ve 822 823 Then, your solver can be chosen with the procedural interface via 824 $ KSPSetType(ksp,"my_solver") 825 or at runtime via the option 826 $ -ksp_type my_solver 827 828 Level: advanced 829 830 .keywords: KSP, register 831 832 .seealso: KSPRegisterAll(), KSPRegisterDestroy() 833 834 @*/ 835 PetscErrorCode KSPRegister(const char sname[],PetscErrorCode (*function)(KSP)) 836 { 837 PetscErrorCode ierr; 838 839 PetscFunctionBegin; 840 ierr = PetscFunctionListAdd(&KSPList,sname,function);CHKERRQ(ierr); 841 PetscFunctionReturn(0); 842 } 843