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 ierr = PetscObjectPrintClassNamePrefixType((PetscObject)ksp,viewer);CHKERRQ(ierr); 128 if (ksp->ops->view) { 129 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 130 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 131 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 132 } 133 if (ksp->guess_zero) { 134 ierr = PetscViewerASCIIPrintf(viewer," maximum iterations=%D, initial guess is zero\n",ksp->max_it);CHKERRQ(ierr); 135 } else { 136 ierr = PetscViewerASCIIPrintf(viewer," maximum iterations=%D, nonzero initial guess\n", ksp->max_it);CHKERRQ(ierr); 137 } 138 if (ksp->guess_knoll) {ierr = PetscViewerASCIIPrintf(viewer," using preconditioner applied to right hand side for initial guess\n");CHKERRQ(ierr);} 139 ierr = PetscViewerASCIIPrintf(viewer," tolerances: relative=%g, absolute=%g, divergence=%g\n",(double)ksp->rtol,(double)ksp->abstol,(double)ksp->divtol);CHKERRQ(ierr); 140 if (ksp->pc_side == PC_RIGHT) { 141 ierr = PetscViewerASCIIPrintf(viewer," right preconditioning\n");CHKERRQ(ierr); 142 } else if (ksp->pc_side == PC_SYMMETRIC) { 143 ierr = PetscViewerASCIIPrintf(viewer," symmetric preconditioning\n");CHKERRQ(ierr); 144 } else { 145 ierr = PetscViewerASCIIPrintf(viewer," left preconditioning\n");CHKERRQ(ierr); 146 } 147 if (ksp->guess) { 148 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 149 ierr = KSPGuessView(ksp->guess,viewer);CHKERRQ(ierr); 150 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 151 } 152 if (ksp->dscale) {ierr = PetscViewerASCIIPrintf(viewer," diagonally scaled system\n");CHKERRQ(ierr);} 153 ierr = PetscViewerASCIIPrintf(viewer," using %s norm type for convergence test\n",KSPNormTypes[ksp->normtype]);CHKERRQ(ierr); 154 } else if (isbinary) { 155 PetscInt classid = KSP_FILE_CLASSID; 156 MPI_Comm comm; 157 PetscMPIInt rank; 158 char type[256]; 159 160 ierr = PetscObjectGetComm((PetscObject)ksp,&comm);CHKERRQ(ierr); 161 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 162 if (!rank) { 163 ierr = PetscViewerBinaryWrite(viewer,&classid,1,PETSC_INT,PETSC_FALSE);CHKERRQ(ierr); 164 ierr = PetscStrncpy(type,((PetscObject)ksp)->type_name,256);CHKERRQ(ierr); 165 ierr = PetscViewerBinaryWrite(viewer,type,256,PETSC_CHAR,PETSC_FALSE);CHKERRQ(ierr); 166 } 167 if (ksp->ops->view) { 168 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 169 } 170 } else if (isdraw) { 171 PetscDraw draw; 172 char str[36]; 173 PetscReal x,y,bottom,h; 174 PetscBool flg; 175 176 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 177 ierr = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr); 178 ierr = PetscObjectTypeCompare((PetscObject)ksp,KSPPREONLY,&flg);CHKERRQ(ierr); 179 if (!flg) { 180 ierr = PetscStrncpy(str,"KSP: ",sizeof(str));CHKERRQ(ierr); 181 ierr = PetscStrlcat(str,((PetscObject)ksp)->type_name,sizeof(str));CHKERRQ(ierr); 182 ierr = PetscDrawStringBoxed(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);CHKERRQ(ierr); 183 bottom = y - h; 184 } else { 185 bottom = y; 186 } 187 ierr = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr); 188 #if defined(PETSC_HAVE_SAWS) 189 } else if (issaws) { 190 PetscMPIInt rank; 191 const char *name; 192 193 ierr = PetscObjectGetName((PetscObject)ksp,&name);CHKERRQ(ierr); 194 ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr); 195 if (!((PetscObject)ksp)->amsmem && !rank) { 196 char dir[1024]; 197 198 ierr = PetscObjectViewSAWs((PetscObject)ksp,viewer);CHKERRQ(ierr); 199 ierr = PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/its",name);CHKERRQ(ierr); 200 PetscStackCallSAWs(SAWs_Register,(dir,&ksp->its,1,SAWs_READ,SAWs_INT)); 201 if (!ksp->res_hist) { 202 ierr = KSPSetResidualHistory(ksp,NULL,PETSC_DECIDE,PETSC_TRUE);CHKERRQ(ierr); 203 } 204 ierr = PetscSNPrintf(dir,1024,"/PETSc/Objects/%s/res_hist",name);CHKERRQ(ierr); 205 PetscStackCallSAWs(SAWs_Register,(dir,ksp->res_hist,10,SAWs_READ,SAWs_DOUBLE)); 206 } 207 #endif 208 } else if (ksp->ops->view) { 209 ierr = (*ksp->ops->view)(ksp,viewer);CHKERRQ(ierr); 210 } 211 if (!ksp->skippcsetfromoptions) { 212 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 213 ierr = PCView(ksp->pc,viewer);CHKERRQ(ierr); 214 } 215 if (isdraw) { 216 PetscDraw draw; 217 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 218 ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr); 219 } 220 PetscFunctionReturn(0); 221 } 222 223 224 /*@ 225 KSPSetNormType - Sets the norm that is used for convergence testing. 226 227 Logically Collective on KSP 228 229 Input Parameter: 230 + ksp - Krylov solver context 231 - normtype - one of 232 $ KSP_NORM_NONE - skips computing the norm, this should generally only be used if you are using 233 $ the Krylov method as a smoother with a fixed small number of iterations. 234 $ Implicitly sets KSPConvergedSkip() as KSP convergence test. 235 $ Note that certain algorithms such as KSPGMRES ALWAYS require the norm calculation, 236 $ for these methods the norms are still computed, they are just not used in 237 $ the convergence test. 238 $ KSP_NORM_PRECONDITIONED - the default for left preconditioned solves, uses the l2 norm 239 $ of the preconditioned residual P^{-1}(b - A x) 240 $ KSP_NORM_UNPRECONDITIONED - uses the l2 norm of the true b - Ax residual. 241 $ KSP_NORM_NATURAL - supported by KSPCG, KSPCR, KSPCGNE, KSPCGS 242 243 244 Options Database Key: 245 . -ksp_norm_type <none,preconditioned,unpreconditioned,natural> 246 247 Notes: 248 Not all combinations of preconditioner side (see KSPSetPCSide()) and norm type are supported by all Krylov methods. 249 If only one is set, PETSc tries to automatically change the other to find a compatible pair. If no such combination 250 is supported, PETSc will generate an error. 251 252 Developer Notes: 253 Supported combinations of norm and preconditioner side are set using KSPSetSupportedNorm(). 254 255 Level: advanced 256 257 .keywords: KSP, create, context, norms 258 259 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetCheckNormIteration(), KSPSetPCSide(), KSPGetPCSide(), KSPNormType 260 @*/ 261 PetscErrorCode KSPSetNormType(KSP ksp,KSPNormType normtype) 262 { 263 PetscFunctionBegin; 264 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 265 PetscValidLogicalCollectiveEnum(ksp,normtype,2); 266 ksp->normtype = ksp->normtype_set = normtype; 267 PetscFunctionReturn(0); 268 } 269 270 /*@ 271 KSPSetCheckNormIteration - Sets the first iteration at which the norm of the residual will be 272 computed and used in the convergence test. 273 274 Logically Collective on KSP 275 276 Input Parameter: 277 + ksp - Krylov solver context 278 - it - use -1 to check at all iterations 279 280 Notes: 281 Currently only works with KSPCG, KSPBCGS and KSPIBCGS 282 283 Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm 284 285 On steps where the norm is not computed, the previous norm is still in the variable, so if you run with, for example, 286 -ksp_monitor the residual norm will appear to be unchanged for several iterations (though it is not really unchanged). 287 Level: advanced 288 289 .keywords: KSP, create, context, norms 290 291 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType() 292 @*/ 293 PetscErrorCode KSPSetCheckNormIteration(KSP ksp,PetscInt it) 294 { 295 PetscFunctionBegin; 296 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 297 PetscValidLogicalCollectiveInt(ksp,it,2); 298 ksp->chknorm = it; 299 PetscFunctionReturn(0); 300 } 301 302 /*@ 303 KSPSetLagNorm - Lags the residual norm calculation so that it is computed as part of the MPI_Allreduce() for 304 computing the inner products for the next iteration. This can reduce communication costs at the expense of doing 305 one additional iteration. 306 307 308 Logically Collective on KSP 309 310 Input Parameter: 311 + ksp - Krylov solver context 312 - flg - PETSC_TRUE or PETSC_FALSE 313 314 Options Database Keys: 315 . -ksp_lag_norm - lag the calculated residual norm 316 317 Notes: 318 Currently only works with KSPIBCGS. 319 320 Use KSPSetNormType(ksp,KSP_NORM_NONE) to never check the norm 321 322 If you lag the norm and run with, for example, -ksp_monitor, the residual norm reported will be the lagged one. 323 Level: advanced 324 325 .keywords: KSP, create, context, norms 326 327 .seealso: KSPSetUp(), KSPSolve(), KSPDestroy(), KSPConvergedSkip(), KSPSetNormType(), KSPSetCheckNormIteration() 328 @*/ 329 PetscErrorCode KSPSetLagNorm(KSP ksp,PetscBool flg) 330 { 331 PetscFunctionBegin; 332 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 333 PetscValidLogicalCollectiveBool(ksp,flg,2); 334 ksp->lagnorm = flg; 335 PetscFunctionReturn(0); 336 } 337 338 /*@ 339 KSPSetSupportedNorm - Sets a norm and preconditioner side supported by a KSP 340 341 Logically Collective 342 343 Input Arguments: 344 + ksp - Krylov method 345 . normtype - supported norm type 346 . pcside - preconditioner side that can be used with this norm 347 - priority - positive integer preference for this combination; larger values have higher priority 348 349 Level: developer 350 351 Notes: 352 This function should be called from the implementation files KSPCreate_XXX() to declare 353 which norms and preconditioner sides are supported. Users should not need to call this 354 function. 355 356 .seealso: KSPSetNormType(), KSPSetPCSide() 357 @*/ 358 PetscErrorCode KSPSetSupportedNorm(KSP ksp,KSPNormType normtype,PCSide pcside,PetscInt priority) 359 { 360 361 PetscFunctionBegin; 362 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 363 ksp->normsupporttable[normtype][pcside] = priority; 364 PetscFunctionReturn(0); 365 } 366 367 PetscErrorCode KSPNormSupportTableReset_Private(KSP ksp) 368 { 369 PetscErrorCode ierr; 370 371 PetscFunctionBegin; 372 ierr = PetscMemzero(ksp->normsupporttable,sizeof(ksp->normsupporttable));CHKERRQ(ierr); 373 ksp->pc_side = ksp->pc_side_set; 374 ksp->normtype = ksp->normtype_set; 375 PetscFunctionReturn(0); 376 } 377 378 PetscErrorCode KSPSetUpNorms_Private(KSP ksp,PetscBool errorifnotsupported,KSPNormType *normtype,PCSide *pcside) 379 { 380 PetscInt i,j,best,ibest = 0,jbest = 0; 381 382 PetscFunctionBegin; 383 best = 0; 384 for (i=0; i<KSP_NORM_MAX; i++) { 385 for (j=0; j<PC_SIDE_MAX; j++) { 386 if ((ksp->normtype == KSP_NORM_DEFAULT || ksp->normtype == i) && (ksp->pc_side == PC_SIDE_DEFAULT || ksp->pc_side == j) && (ksp->normsupporttable[i][j] > best)) { 387 best = ksp->normsupporttable[i][j]; 388 ibest = i; 389 jbest = j; 390 } 391 } 392 } 393 if (best < 1 && errorifnotsupported) { 394 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); 395 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]); 396 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]); 397 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]); 398 } 399 if (normtype) *normtype = (KSPNormType)ibest; 400 if (pcside) *pcside = (PCSide)jbest; 401 PetscFunctionReturn(0); 402 } 403 404 /*@ 405 KSPGetNormType - Gets the norm that is used for convergence testing. 406 407 Not Collective 408 409 Input Parameter: 410 . ksp - Krylov solver context 411 412 Output Parameter: 413 . normtype - norm that is used for convergence testing 414 415 Level: advanced 416 417 .keywords: KSP, create, context, norms 418 419 .seealso: KSPNormType, KSPSetNormType(), KSPConvergedSkip() 420 @*/ 421 PetscErrorCode KSPGetNormType(KSP ksp, KSPNormType *normtype) 422 { 423 PetscErrorCode ierr; 424 425 PetscFunctionBegin; 426 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 427 PetscValidPointer(normtype,2); 428 ierr = KSPSetUpNorms_Private(ksp,PETSC_TRUE,&ksp->normtype,&ksp->pc_side);CHKERRQ(ierr); 429 *normtype = ksp->normtype; 430 PetscFunctionReturn(0); 431 } 432 433 #if defined(PETSC_HAVE_SAWS) 434 #include <petscviewersaws.h> 435 #endif 436 437 /*@ 438 KSPSetOperators - Sets the matrix associated with the linear system 439 and a (possibly) different one associated with the preconditioner. 440 441 Collective on KSP and Mat 442 443 Input Parameters: 444 + ksp - the KSP context 445 . Amat - the matrix that defines the linear system 446 - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat. 447 448 Notes: 449 450 If you know the operator Amat has a null space you can use MatSetNullSpace() and MatSetTransposeNullSpace() to supply the null 451 space to Amat and the KSP solvers will automatically use that null space as needed during the solution process. 452 453 All future calls to KSPSetOperators() must use the same size matrices! 454 455 Passing a NULL for Amat or Pmat removes the matrix that is currently used. 456 457 If you wish to replace either Amat or Pmat but leave the other one untouched then 458 first call KSPGetOperators() to get the one you wish to keep, call PetscObjectReference() 459 on it and then pass it back in in your call to KSPSetOperators(). 460 461 Level: beginner 462 463 Alternative usage: If the operators have NOT been set with KSP/PCSetOperators() then the operators 464 are created in PC and returned to the user. In this case, if both operators 465 mat and pmat are requested, two DIFFERENT operators will be returned. If 466 only one is requested both operators in the PC will be the same (i.e. as 467 if one had called KSP/PCSetOperators() with the same argument for both Mats). 468 The user must set the sizes of the returned matrices and their type etc just 469 as if the user created them with MatCreate(). For example, 470 471 $ KSP/PCGetOperators(ksp/pc,&mat,NULL); is equivalent to 472 $ set size, type, etc of mat 473 474 $ MatCreate(comm,&mat); 475 $ KSP/PCSetOperators(ksp/pc,mat,mat); 476 $ PetscObjectDereference((PetscObject)mat); 477 $ set size, type, etc of mat 478 479 and 480 481 $ KSP/PCGetOperators(ksp/pc,&mat,&pmat); is equivalent to 482 $ set size, type, etc of mat and pmat 483 484 $ MatCreate(comm,&mat); 485 $ MatCreate(comm,&pmat); 486 $ KSP/PCSetOperators(ksp/pc,mat,pmat); 487 $ PetscObjectDereference((PetscObject)mat); 488 $ PetscObjectDereference((PetscObject)pmat); 489 $ set size, type, etc of mat and pmat 490 491 The rational for this support is so that when creating a TS, SNES, or KSP the hierarchy 492 of underlying objects (i.e. SNES, KSP, PC, Mat) and their livespans can be completely 493 managed by the top most level object (i.e. the TS, SNES, or KSP). Another way to look 494 at this is when you create a SNES you do not NEED to create a KSP and attach it to 495 the SNES object (the SNES object manages it for you). Similarly when you create a KSP 496 you do not need to attach a PC to it (the KSP object manages the PC object for you). 497 Thus, why should YOU have to create the Mat and attach it to the SNES/KSP/PC, when 498 it can be created for you? 499 500 .keywords: KSP, set, operators, matrix, preconditioner, linear system 501 502 .seealso: KSPSolve(), KSPGetPC(), PCGetOperators(), PCSetOperators(), KSPGetOperators(), KSPSetComputeOperators(), KSPSetComputeInitialGuess(), KSPSetComputeRHS() 503 @*/ 504 PetscErrorCode KSPSetOperators(KSP ksp,Mat Amat,Mat Pmat) 505 { 506 PetscErrorCode ierr; 507 508 PetscFunctionBegin; 509 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 510 if (Amat) PetscValidHeaderSpecific(Amat,MAT_CLASSID,2); 511 if (Pmat) PetscValidHeaderSpecific(Pmat,MAT_CLASSID,3); 512 if (Amat) PetscCheckSameComm(ksp,1,Amat,2); 513 if (Pmat) PetscCheckSameComm(ksp,1,Pmat,3); 514 if (!ksp->pc) {ierr = KSPGetPC(ksp,&ksp->pc);CHKERRQ(ierr);} 515 ierr = PCSetOperators(ksp->pc,Amat,Pmat);CHKERRQ(ierr); 516 if (ksp->setupstage == KSP_SETUP_NEWRHS) ksp->setupstage = KSP_SETUP_NEWMATRIX; /* so that next solve call will call PCSetUp() on new matrix */ 517 PetscFunctionReturn(0); 518 } 519 520 /*@ 521 KSPGetOperators - Gets the matrix associated with the linear system 522 and a (possibly) different one associated with the preconditioner. 523 524 Collective on KSP and Mat 525 526 Input Parameter: 527 . ksp - the KSP context 528 529 Output Parameters: 530 + Amat - the matrix that defines the linear system 531 - Pmat - the matrix to be used in constructing the preconditioner, usually the same as Amat. 532 533 Level: intermediate 534 535 Notes: 536 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 ksp->setfromoptionscalled = 0; 690 691 ierr = KSPConvergedDefaultCreate(&ctx);CHKERRQ(ierr); 692 ierr = KSPSetConvergenceTest(ksp,KSPConvergedDefault,ctx,KSPConvergedDefaultDestroy);CHKERRQ(ierr); 693 ksp->ops->buildsolution = KSPBuildSolutionDefault; 694 ksp->ops->buildresidual = KSPBuildResidualDefault; 695 696 ksp->vec_sol = 0; 697 ksp->vec_rhs = 0; 698 ksp->pc = 0; 699 ksp->data = 0; 700 ksp->nwork = 0; 701 ksp->work = 0; 702 ksp->reason = KSP_CONVERGED_ITERATING; 703 ksp->setupstage = KSP_SETUP_NEW; 704 705 ierr = KSPNormSupportTableReset_Private(ksp);CHKERRQ(ierr); 706 707 *inksp = ksp; 708 PetscFunctionReturn(0); 709 } 710 711 /*@C 712 KSPSetType - Builds KSP for a particular solver. 713 714 Logically Collective on KSP 715 716 Input Parameters: 717 + ksp - the Krylov space context 718 - type - a known method 719 720 Options Database Key: 721 . -ksp_type <method> - Sets the method; use -help for a list 722 of available methods (for instance, cg or gmres) 723 724 Notes: 725 See "petsc/include/petscksp.h" for available methods (for instance, 726 KSPCG or KSPGMRES). 727 728 Normally, it is best to use the KSPSetFromOptions() command and 729 then set the KSP type from the options database rather than by using 730 this routine. Using the options database provides the user with 731 maximum flexibility in evaluating the many different Krylov methods. 732 The KSPSetType() routine is provided for those situations where it 733 is necessary to set the iterative solver independently of the command 734 line or options database. This might be the case, for example, when 735 the choice of iterative solver changes during the execution of the 736 program, and the user's application is taking responsibility for 737 choosing the appropriate method. In other words, this routine is 738 not for beginners. 739 740 Level: intermediate 741 742 Developer Note: KSPRegister() is used to add Krylov types to KSPList from which they 743 are accessed by KSPSetType(). 744 745 .keywords: KSP, set, method 746 747 .seealso: PCSetType(), KSPType, KSPRegister(), KSPCreate() 748 749 @*/ 750 PetscErrorCode KSPSetType(KSP ksp, KSPType type) 751 { 752 PetscErrorCode ierr,(*r)(KSP); 753 PetscBool match; 754 void *ctx; 755 756 PetscFunctionBegin; 757 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 758 PetscValidCharPointer(type,2); 759 760 ierr = PetscObjectTypeCompare((PetscObject)ksp,type,&match);CHKERRQ(ierr); 761 if (match) PetscFunctionReturn(0); 762 763 ierr = PetscFunctionListFind(KSPList,type,&r);CHKERRQ(ierr); 764 if (!r) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unable to find requested KSP type %s",type); 765 /* Destroy the previous private KSP context */ 766 if (ksp->ops->destroy) { 767 ierr = (*ksp->ops->destroy)(ksp);CHKERRQ(ierr); 768 ksp->ops->destroy = NULL; 769 } 770 /* Reinitialize function pointers in KSPOps structure */ 771 ierr = PetscMemzero(ksp->ops,sizeof(struct _KSPOps));CHKERRQ(ierr); 772 ierr = KSPConvergedDefaultCreate(&ctx);CHKERRQ(ierr); 773 ierr = KSPSetConvergenceTest(ksp,KSPConvergedDefault,ctx,KSPConvergedDefaultDestroy);CHKERRQ(ierr); 774 ksp->ops->buildsolution = KSPBuildSolutionDefault; 775 ksp->ops->buildresidual = KSPBuildResidualDefault; 776 ierr = KSPNormSupportTableReset_Private(ksp);CHKERRQ(ierr); 777 /* Call the KSPCreate_XXX routine for this particular Krylov solver */ 778 ksp->setupstage = KSP_SETUP_NEW; 779 ierr = PetscObjectChangeTypeName((PetscObject)ksp,type);CHKERRQ(ierr); 780 ierr = (*r)(ksp);CHKERRQ(ierr); 781 PetscFunctionReturn(0); 782 } 783 784 /*@C 785 KSPGetType - Gets the KSP type as a string from the KSP object. 786 787 Not Collective 788 789 Input Parameter: 790 . ksp - Krylov context 791 792 Output Parameter: 793 . name - name of KSP method 794 795 Level: intermediate 796 797 .keywords: KSP, get, method, name 798 799 .seealso: KSPSetType() 800 @*/ 801 PetscErrorCode KSPGetType(KSP ksp,KSPType *type) 802 { 803 PetscFunctionBegin; 804 PetscValidHeaderSpecific(ksp,KSP_CLASSID,1); 805 PetscValidPointer(type,2); 806 *type = ((PetscObject)ksp)->type_name; 807 PetscFunctionReturn(0); 808 } 809 810 /*@C 811 KSPRegister - Adds a method to the Krylov subspace solver package. 812 813 Not Collective 814 815 Input Parameters: 816 + name_solver - name of a new user-defined solver 817 - routine_create - routine to create method context 818 819 Notes: 820 KSPRegister() may be called multiple times to add several user-defined solvers. 821 822 Sample usage: 823 .vb 824 KSPRegister("my_solver",MySolverCreate); 825 .ve 826 827 Then, your solver can be chosen with the procedural interface via 828 $ KSPSetType(ksp,"my_solver") 829 or at runtime via the option 830 $ -ksp_type my_solver 831 832 Level: advanced 833 834 .keywords: KSP, register 835 836 .seealso: KSPRegisterAll(), KSPRegisterDestroy() 837 838 @*/ 839 PetscErrorCode KSPRegister(const char sname[],PetscErrorCode (*function)(KSP)) 840 { 841 PetscErrorCode ierr; 842 843 PetscFunctionBegin; 844 ierr = KSPInitializePackage();CHKERRQ(ierr); 845 ierr = PetscFunctionListAdd(&KSPList,sname,function);CHKERRQ(ierr); 846 PetscFunctionReturn(0); 847 } 848