1 2 #include <../src/ksp/pc/impls/is/pcis.h> /*I "petscpc.h" I*/ 3 4 static PetscErrorCode PCISSetUseStiffnessScaling_IS(PC pc, PetscBool use) 5 { 6 PC_IS *pcis = (PC_IS*)pc->data; 7 8 PetscFunctionBegin; 9 pcis->use_stiffness_scaling = use; 10 PetscFunctionReturn(0); 11 } 12 13 /*@ 14 PCISSetUseStiffnessScaling - Tells PCIS to construct partition of unity using 15 local matrices' diagonal. 16 17 Not collective 18 19 Input Parameters: 20 + pc - the preconditioning context 21 - use - whether or not pcis use matrix diagonal to build partition of unity. 22 23 Level: intermediate 24 25 Notes: 26 27 .seealso: PCBDDC 28 @*/ 29 PetscErrorCode PCISSetUseStiffnessScaling(PC pc, PetscBool use) 30 { 31 PetscFunctionBegin; 32 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 33 PetscValidLogicalCollectiveBool(pc,use,2); 34 CHKERRQ(PetscTryMethod(pc,"PCISSetUseStiffnessScaling_C",(PC,PetscBool),(pc,use))); 35 PetscFunctionReturn(0); 36 } 37 38 static PetscErrorCode PCISSetSubdomainDiagonalScaling_IS(PC pc, Vec scaling_factors) 39 { 40 PC_IS *pcis = (PC_IS*)pc->data; 41 42 PetscFunctionBegin; 43 CHKERRQ(PetscObjectReference((PetscObject)scaling_factors)); 44 CHKERRQ(VecDestroy(&pcis->D)); 45 pcis->D = scaling_factors; 46 if (pc->setupcalled) { 47 PetscInt sn; 48 49 CHKERRQ(VecGetSize(pcis->D,&sn)); 50 if (sn == pcis->n) { 51 CHKERRQ(VecScatterBegin(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 52 CHKERRQ(VecScatterEnd(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 53 CHKERRQ(VecDestroy(&pcis->D)); 54 CHKERRQ(VecDuplicate(pcis->vec1_B,&pcis->D)); 55 CHKERRQ(VecCopy(pcis->vec1_B,pcis->D)); 56 } else PetscCheckFalse(sn != pcis->n_B,PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Invalid size for scaling vector. Expected %D (or full %D), found %D",pcis->n_B,pcis->n,sn); 57 } 58 PetscFunctionReturn(0); 59 } 60 61 /*@ 62 PCISSetSubdomainDiagonalScaling - Set diagonal scaling for PCIS. 63 64 Not collective 65 66 Input Parameters: 67 + pc - the preconditioning context 68 - scaling_factors - scaling factors for the subdomain 69 70 Level: intermediate 71 72 Notes: 73 Intended to use with jumping coefficients cases. 74 75 .seealso: PCBDDC 76 @*/ 77 PetscErrorCode PCISSetSubdomainDiagonalScaling(PC pc, Vec scaling_factors) 78 { 79 PetscFunctionBegin; 80 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 81 PetscValidHeaderSpecific(scaling_factors,VEC_CLASSID,2); 82 CHKERRQ(PetscTryMethod(pc,"PCISSetSubdomainDiagonalScaling_C",(PC,Vec),(pc,scaling_factors))); 83 PetscFunctionReturn(0); 84 } 85 86 static PetscErrorCode PCISSetSubdomainScalingFactor_IS(PC pc, PetscScalar scal) 87 { 88 PC_IS *pcis = (PC_IS*)pc->data; 89 90 PetscFunctionBegin; 91 pcis->scaling_factor = scal; 92 if (pcis->D) { 93 94 CHKERRQ(VecSet(pcis->D,pcis->scaling_factor)); 95 } 96 PetscFunctionReturn(0); 97 } 98 99 /*@ 100 PCISSetSubdomainScalingFactor - Set scaling factor for PCIS. 101 102 Not collective 103 104 Input Parameters: 105 + pc - the preconditioning context 106 - scal - scaling factor for the subdomain 107 108 Level: intermediate 109 110 Notes: 111 Intended to use with jumping coefficients cases. 112 113 .seealso: PCBDDC 114 @*/ 115 PetscErrorCode PCISSetSubdomainScalingFactor(PC pc, PetscScalar scal) 116 { 117 PetscFunctionBegin; 118 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 119 CHKERRQ(PetscTryMethod(pc,"PCISSetSubdomainScalingFactor_C",(PC,PetscScalar),(pc,scal))); 120 PetscFunctionReturn(0); 121 } 122 123 /* -------------------------------------------------------------------------- */ 124 /* 125 PCISSetUp - 126 */ 127 PetscErrorCode PCISSetUp(PC pc, PetscBool computematrices, PetscBool computesolvers) 128 { 129 PC_IS *pcis = (PC_IS*)(pc->data); 130 Mat_IS *matis; 131 MatReuse reuse; 132 PetscErrorCode ierr; 133 PetscBool flg,issbaij; 134 135 PetscFunctionBegin; 136 CHKERRQ(PetscObjectTypeCompare((PetscObject)pc->pmat,MATIS,&flg)); 137 PetscCheck(flg,PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONG,"Requires preconditioning matrix of type MATIS"); 138 matis = (Mat_IS*)pc->pmat->data; 139 if (pc->useAmat) { 140 CHKERRQ(PetscObjectTypeCompare((PetscObject)pc->mat,MATIS,&flg)); 141 PetscCheck(flg,PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONG,"Requires linear system matrix of type MATIS"); 142 } 143 144 /* first time creation, get info on substructuring */ 145 if (!pc->setupcalled) { 146 PetscInt n_I; 147 PetscInt *idx_I_local,*idx_B_local,*idx_I_global,*idx_B_global; 148 PetscBT bt; 149 PetscInt i,j; 150 151 /* get info on mapping */ 152 CHKERRQ(PetscObjectReference((PetscObject)matis->rmapping)); 153 CHKERRQ(ISLocalToGlobalMappingDestroy(&pcis->mapping)); 154 pcis->mapping = matis->rmapping; 155 CHKERRQ(ISLocalToGlobalMappingGetSize(pcis->mapping,&pcis->n)); 156 CHKERRQ(ISLocalToGlobalMappingGetInfo(pcis->mapping,&(pcis->n_neigh),&(pcis->neigh),&(pcis->n_shared),&(pcis->shared))); 157 158 /* Identifying interior and interface nodes, in local numbering */ 159 CHKERRQ(PetscBTCreate(pcis->n,&bt)); 160 for (i=0;i<pcis->n_neigh;i++) 161 for (j=0;j<pcis->n_shared[i];j++) { 162 CHKERRQ(PetscBTSet(bt,pcis->shared[i][j])); 163 } 164 165 /* Creating local and global index sets for interior and inteface nodes. */ 166 CHKERRQ(PetscMalloc1(pcis->n,&idx_I_local)); 167 CHKERRQ(PetscMalloc1(pcis->n,&idx_B_local)); 168 for (i=0, pcis->n_B=0, n_I=0; i<pcis->n; i++) { 169 if (!PetscBTLookup(bt,i)) { 170 idx_I_local[n_I] = i; 171 n_I++; 172 } else { 173 idx_B_local[pcis->n_B] = i; 174 pcis->n_B++; 175 } 176 } 177 178 /* Getting the global numbering */ 179 idx_B_global = idx_I_local + n_I; /* Just avoiding allocating extra memory, since we have vacant space */ 180 idx_I_global = idx_B_local + pcis->n_B; 181 CHKERRQ(ISLocalToGlobalMappingApply(pcis->mapping,pcis->n_B,idx_B_local,idx_B_global)); 182 CHKERRQ(ISLocalToGlobalMappingApply(pcis->mapping,n_I,idx_I_local,idx_I_global)); 183 184 /* Creating the index sets */ 185 CHKERRQ(ISCreateGeneral(PETSC_COMM_SELF,pcis->n_B,idx_B_local,PETSC_COPY_VALUES, &pcis->is_B_local)); 186 CHKERRQ(ISCreateGeneral(PetscObjectComm((PetscObject)pc),pcis->n_B,idx_B_global,PETSC_COPY_VALUES,&pcis->is_B_global)); 187 CHKERRQ(ISCreateGeneral(PETSC_COMM_SELF,n_I,idx_I_local,PETSC_COPY_VALUES, &pcis->is_I_local)); 188 CHKERRQ(ISCreateGeneral(PetscObjectComm((PetscObject)pc),n_I,idx_I_global,PETSC_COPY_VALUES,&pcis->is_I_global)); 189 190 /* Freeing memory */ 191 CHKERRQ(PetscFree(idx_B_local)); 192 CHKERRQ(PetscFree(idx_I_local)); 193 CHKERRQ(PetscBTDestroy(&bt)); 194 195 /* Creating work vectors and arrays */ 196 CHKERRQ(VecDuplicate(matis->x,&pcis->vec1_N)); 197 CHKERRQ(VecDuplicate(pcis->vec1_N,&pcis->vec2_N)); 198 CHKERRQ(VecCreate(PETSC_COMM_SELF,&pcis->vec1_D)); 199 CHKERRQ(VecSetSizes(pcis->vec1_D,pcis->n-pcis->n_B,PETSC_DECIDE)); 200 CHKERRQ(VecSetType(pcis->vec1_D,((PetscObject)pcis->vec1_N)->type_name)); 201 CHKERRQ(VecDuplicate(pcis->vec1_D,&pcis->vec2_D)); 202 CHKERRQ(VecDuplicate(pcis->vec1_D,&pcis->vec3_D)); 203 CHKERRQ(VecDuplicate(pcis->vec1_D,&pcis->vec4_D)); 204 CHKERRQ(VecCreate(PETSC_COMM_SELF,&pcis->vec1_B)); 205 CHKERRQ(VecSetSizes(pcis->vec1_B,pcis->n_B,PETSC_DECIDE)); 206 CHKERRQ(VecSetType(pcis->vec1_B,((PetscObject)pcis->vec1_N)->type_name)); 207 CHKERRQ(VecDuplicate(pcis->vec1_B,&pcis->vec2_B)); 208 CHKERRQ(VecDuplicate(pcis->vec1_B,&pcis->vec3_B)); 209 CHKERRQ(MatCreateVecs(pc->pmat,&pcis->vec1_global,NULL)); 210 CHKERRQ(PetscMalloc1(pcis->n,&pcis->work_N)); 211 /* scaling vector */ 212 if (!pcis->D) { /* it can happen that the user passed in a scaling vector via PCISSetSubdomainDiagonalScaling */ 213 CHKERRQ(VecDuplicate(pcis->vec1_B,&pcis->D)); 214 CHKERRQ(VecSet(pcis->D,pcis->scaling_factor)); 215 } 216 217 /* Creating the scatter contexts */ 218 CHKERRQ(VecScatterCreate(pcis->vec1_N,pcis->is_I_local,pcis->vec1_D,(IS)0,&pcis->N_to_D)); 219 CHKERRQ(VecScatterCreate(pcis->vec1_global,pcis->is_I_global,pcis->vec1_D,(IS)0,&pcis->global_to_D)); 220 CHKERRQ(VecScatterCreate(pcis->vec1_N,pcis->is_B_local,pcis->vec1_B,(IS)0,&pcis->N_to_B)); 221 CHKERRQ(VecScatterCreate(pcis->vec1_global,pcis->is_B_global,pcis->vec1_B,(IS)0,&pcis->global_to_B)); 222 223 /* map from boundary to local */ 224 CHKERRQ(ISLocalToGlobalMappingCreateIS(pcis->is_B_local,&pcis->BtoNmap)); 225 } 226 227 { 228 PetscInt sn; 229 230 CHKERRQ(VecGetSize(pcis->D,&sn)); 231 if (sn == pcis->n) { 232 CHKERRQ(VecScatterBegin(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 233 CHKERRQ(VecScatterEnd(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 234 CHKERRQ(VecDestroy(&pcis->D)); 235 CHKERRQ(VecDuplicate(pcis->vec1_B,&pcis->D)); 236 CHKERRQ(VecCopy(pcis->vec1_B,pcis->D)); 237 } else PetscCheckFalse(sn != pcis->n_B,PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Invalid size for scaling vector. Expected %D (or full %D), found %D",pcis->n_B,pcis->n,sn); 238 } 239 240 /* 241 Extracting the blocks A_II, A_BI, A_IB and A_BB from A. If the numbering 242 is such that interior nodes come first than the interface ones, we have 243 244 [ A_II | A_IB ] 245 A = [------+------] 246 [ A_BI | A_BB ] 247 */ 248 if (computematrices) { 249 PetscBool amat = (PetscBool)(pc->mat != pc->pmat && pc->useAmat); 250 PetscInt bs,ibs; 251 252 reuse = MAT_INITIAL_MATRIX; 253 if (pcis->reusesubmatrices && pc->setupcalled) { 254 if (pc->flag == SAME_NONZERO_PATTERN) { 255 reuse = MAT_REUSE_MATRIX; 256 } else { 257 reuse = MAT_INITIAL_MATRIX; 258 } 259 } 260 if (reuse == MAT_INITIAL_MATRIX) { 261 CHKERRQ(MatDestroy(&pcis->A_II)); 262 CHKERRQ(MatDestroy(&pcis->pA_II)); 263 CHKERRQ(MatDestroy(&pcis->A_IB)); 264 CHKERRQ(MatDestroy(&pcis->A_BI)); 265 CHKERRQ(MatDestroy(&pcis->A_BB)); 266 } 267 268 CHKERRQ(ISLocalToGlobalMappingGetBlockSize(pcis->mapping,&ibs)); 269 CHKERRQ(MatGetBlockSize(matis->A,&bs)); 270 CHKERRQ(MatCreateSubMatrix(matis->A,pcis->is_I_local,pcis->is_I_local,reuse,&pcis->pA_II)); 271 if (amat) { 272 Mat_IS *amatis = (Mat_IS*)pc->mat->data; 273 CHKERRQ(MatCreateSubMatrix(amatis->A,pcis->is_I_local,pcis->is_I_local,reuse,&pcis->A_II)); 274 } else { 275 CHKERRQ(PetscObjectReference((PetscObject)pcis->pA_II)); 276 CHKERRQ(MatDestroy(&pcis->A_II)); 277 pcis->A_II = pcis->pA_II; 278 } 279 CHKERRQ(MatSetBlockSize(pcis->A_II,bs == ibs ? bs : 1)); 280 CHKERRQ(MatSetBlockSize(pcis->pA_II,bs == ibs ? bs : 1)); 281 CHKERRQ(MatCreateSubMatrix(matis->A,pcis->is_B_local,pcis->is_B_local,reuse,&pcis->A_BB)); 282 CHKERRQ(PetscObjectTypeCompare((PetscObject)matis->A,MATSEQSBAIJ,&issbaij)); 283 if (!issbaij) { 284 CHKERRQ(MatCreateSubMatrix(matis->A,pcis->is_I_local,pcis->is_B_local,reuse,&pcis->A_IB)); 285 CHKERRQ(MatCreateSubMatrix(matis->A,pcis->is_B_local,pcis->is_I_local,reuse,&pcis->A_BI)); 286 } else { 287 Mat newmat; 288 289 CHKERRQ(MatConvert(matis->A,MATSEQBAIJ,MAT_INITIAL_MATRIX,&newmat)); 290 CHKERRQ(MatCreateSubMatrix(newmat,pcis->is_I_local,pcis->is_B_local,reuse,&pcis->A_IB)); 291 CHKERRQ(MatCreateSubMatrix(newmat,pcis->is_B_local,pcis->is_I_local,reuse,&pcis->A_BI)); 292 CHKERRQ(MatDestroy(&newmat)); 293 } 294 CHKERRQ(MatSetBlockSize(pcis->A_BB,bs == ibs ? bs : 1)); 295 } 296 297 /* Creating scaling vector D */ 298 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc)->options,((PetscObject)pc)->prefix,"-pc_is_use_stiffness_scaling",&pcis->use_stiffness_scaling,NULL)); 299 if (pcis->use_stiffness_scaling) { 300 PetscScalar *a; 301 PetscInt i,n; 302 303 if (pcis->A_BB) { 304 CHKERRQ(MatGetDiagonal(pcis->A_BB,pcis->D)); 305 } else { 306 CHKERRQ(MatGetDiagonal(matis->A,pcis->vec1_N)); 307 CHKERRQ(VecScatterBegin(pcis->N_to_B,pcis->vec1_N,pcis->D,INSERT_VALUES,SCATTER_FORWARD)); 308 CHKERRQ(VecScatterEnd(pcis->N_to_B,pcis->vec1_N,pcis->D,INSERT_VALUES,SCATTER_FORWARD)); 309 } 310 CHKERRQ(VecAbs(pcis->D)); 311 CHKERRQ(VecGetLocalSize(pcis->D,&n)); 312 CHKERRQ(VecGetArray(pcis->D,&a)); 313 for (i=0;i<n;i++) if (PetscAbsScalar(a[i])<PETSC_SMALL) a[i] = 1.0; 314 CHKERRQ(VecRestoreArray(pcis->D,&a)); 315 } 316 CHKERRQ(VecSet(pcis->vec1_global,0.0)); 317 CHKERRQ(VecScatterBegin(pcis->global_to_B,pcis->D,pcis->vec1_global,ADD_VALUES,SCATTER_REVERSE)); 318 CHKERRQ(VecScatterEnd(pcis->global_to_B,pcis->D,pcis->vec1_global,ADD_VALUES,SCATTER_REVERSE)); 319 CHKERRQ(VecScatterBegin(pcis->global_to_B,pcis->vec1_global,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 320 CHKERRQ(VecScatterEnd(pcis->global_to_B,pcis->vec1_global,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD)); 321 CHKERRQ(VecPointwiseDivide(pcis->D,pcis->D,pcis->vec1_B)); 322 /* See historical note 01, at the bottom of this file. */ 323 324 /* Creating the KSP contexts for the local Dirichlet and Neumann problems */ 325 if (computesolvers) { 326 PC pc_ctx; 327 328 pcis->pure_neumann = matis->pure_neumann; 329 /* Dirichlet */ 330 CHKERRQ(KSPCreate(PETSC_COMM_SELF,&pcis->ksp_D)); 331 CHKERRQ(KSPSetErrorIfNotConverged(pcis->ksp_D,pc->erroriffailure)); 332 CHKERRQ(PetscObjectIncrementTabLevel((PetscObject)pcis->ksp_D,(PetscObject)pc,1)); 333 CHKERRQ(KSPSetOperators(pcis->ksp_D,pcis->A_II,pcis->A_II)); 334 CHKERRQ(KSPSetOptionsPrefix(pcis->ksp_D,"is_localD_")); 335 CHKERRQ(KSPGetPC(pcis->ksp_D,&pc_ctx)); 336 CHKERRQ(PCSetType(pc_ctx,PCLU)); 337 CHKERRQ(KSPSetType(pcis->ksp_D,KSPPREONLY)); 338 CHKERRQ(KSPSetFromOptions(pcis->ksp_D)); 339 /* the vectors in the following line are dummy arguments, just telling the KSP the vector size. Values are not used */ 340 CHKERRQ(KSPSetUp(pcis->ksp_D)); 341 /* Neumann */ 342 CHKERRQ(KSPCreate(PETSC_COMM_SELF,&pcis->ksp_N)); 343 CHKERRQ(KSPSetErrorIfNotConverged(pcis->ksp_N,pc->erroriffailure)); 344 CHKERRQ(PetscObjectIncrementTabLevel((PetscObject)pcis->ksp_N,(PetscObject)pc,1)); 345 CHKERRQ(KSPSetOperators(pcis->ksp_N,matis->A,matis->A)); 346 CHKERRQ(KSPSetOptionsPrefix(pcis->ksp_N,"is_localN_")); 347 CHKERRQ(KSPGetPC(pcis->ksp_N,&pc_ctx)); 348 CHKERRQ(PCSetType(pc_ctx,PCLU)); 349 CHKERRQ(KSPSetType(pcis->ksp_N,KSPPREONLY)); 350 CHKERRQ(KSPSetFromOptions(pcis->ksp_N)); 351 { 352 PetscBool damp_fixed = PETSC_FALSE, 353 remove_nullspace_fixed = PETSC_FALSE, 354 set_damping_factor_floating = PETSC_FALSE, 355 not_damp_floating = PETSC_FALSE, 356 not_remove_nullspace_floating = PETSC_FALSE; 357 PetscReal fixed_factor, 358 floating_factor; 359 360 CHKERRQ(PetscOptionsGetReal(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_damp_fixed",&fixed_factor,&damp_fixed)); 361 if (!damp_fixed) fixed_factor = 0.0; 362 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_damp_fixed",&damp_fixed,NULL)); 363 364 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_remove_nullspace_fixed",&remove_nullspace_fixed,NULL)); 365 366 ierr = PetscOptionsGetReal(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_set_damping_factor_floating", 367 &floating_factor,&set_damping_factor_floating);CHKERRQ(ierr); 368 if (!set_damping_factor_floating) floating_factor = 0.0; 369 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_set_damping_factor_floating",&set_damping_factor_floating,NULL)); 370 if (!set_damping_factor_floating) floating_factor = 1.e-12; 371 372 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_not_damp_floating",¬_damp_floating,NULL)); 373 374 CHKERRQ(PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_not_remove_nullspace_floating",¬_remove_nullspace_floating,NULL)); 375 376 if (pcis->pure_neumann) { /* floating subdomain */ 377 if (!(not_damp_floating)) { 378 CHKERRQ(PCFactorSetShiftType(pc_ctx,MAT_SHIFT_NONZERO)); 379 CHKERRQ(PCFactorSetShiftAmount(pc_ctx,floating_factor)); 380 } 381 if (!(not_remove_nullspace_floating)) { 382 MatNullSpace nullsp; 383 CHKERRQ(MatNullSpaceCreate(PETSC_COMM_SELF,PETSC_TRUE,0,NULL,&nullsp)); 384 CHKERRQ(MatSetNullSpace(matis->A,nullsp)); 385 CHKERRQ(MatNullSpaceDestroy(&nullsp)); 386 } 387 } else { /* fixed subdomain */ 388 if (damp_fixed) { 389 CHKERRQ(PCFactorSetShiftType(pc_ctx,MAT_SHIFT_NONZERO)); 390 CHKERRQ(PCFactorSetShiftAmount(pc_ctx,floating_factor)); 391 } 392 if (remove_nullspace_fixed) { 393 MatNullSpace nullsp; 394 CHKERRQ(MatNullSpaceCreate(PETSC_COMM_SELF,PETSC_TRUE,0,NULL,&nullsp)); 395 CHKERRQ(MatSetNullSpace(matis->A,nullsp)); 396 CHKERRQ(MatNullSpaceDestroy(&nullsp)); 397 } 398 } 399 } 400 /* the vectors in the following line are dummy arguments, just telling the KSP the vector size. Values are not used */ 401 CHKERRQ(KSPSetUp(pcis->ksp_N)); 402 } 403 PetscFunctionReturn(0); 404 } 405 406 /* -------------------------------------------------------------------------- */ 407 /* 408 PCISDestroy - 409 */ 410 PetscErrorCode PCISDestroy(PC pc) 411 { 412 PC_IS *pcis = (PC_IS*)(pc->data); 413 414 PetscFunctionBegin; 415 CHKERRQ(ISDestroy(&pcis->is_B_local)); 416 CHKERRQ(ISDestroy(&pcis->is_I_local)); 417 CHKERRQ(ISDestroy(&pcis->is_B_global)); 418 CHKERRQ(ISDestroy(&pcis->is_I_global)); 419 CHKERRQ(MatDestroy(&pcis->A_II)); 420 CHKERRQ(MatDestroy(&pcis->pA_II)); 421 CHKERRQ(MatDestroy(&pcis->A_IB)); 422 CHKERRQ(MatDestroy(&pcis->A_BI)); 423 CHKERRQ(MatDestroy(&pcis->A_BB)); 424 CHKERRQ(VecDestroy(&pcis->D)); 425 CHKERRQ(KSPDestroy(&pcis->ksp_N)); 426 CHKERRQ(KSPDestroy(&pcis->ksp_D)); 427 CHKERRQ(VecDestroy(&pcis->vec1_N)); 428 CHKERRQ(VecDestroy(&pcis->vec2_N)); 429 CHKERRQ(VecDestroy(&pcis->vec1_D)); 430 CHKERRQ(VecDestroy(&pcis->vec2_D)); 431 CHKERRQ(VecDestroy(&pcis->vec3_D)); 432 CHKERRQ(VecDestroy(&pcis->vec4_D)); 433 CHKERRQ(VecDestroy(&pcis->vec1_B)); 434 CHKERRQ(VecDestroy(&pcis->vec2_B)); 435 CHKERRQ(VecDestroy(&pcis->vec3_B)); 436 CHKERRQ(VecDestroy(&pcis->vec1_global)); 437 CHKERRQ(VecScatterDestroy(&pcis->global_to_D)); 438 CHKERRQ(VecScatterDestroy(&pcis->N_to_B)); 439 CHKERRQ(VecScatterDestroy(&pcis->N_to_D)); 440 CHKERRQ(VecScatterDestroy(&pcis->global_to_B)); 441 CHKERRQ(PetscFree(pcis->work_N)); 442 if (pcis->n_neigh > -1) { 443 CHKERRQ(ISLocalToGlobalMappingRestoreInfo(pcis->mapping,&(pcis->n_neigh),&(pcis->neigh),&(pcis->n_shared),&(pcis->shared))); 444 } 445 CHKERRQ(ISLocalToGlobalMappingDestroy(&pcis->mapping)); 446 CHKERRQ(ISLocalToGlobalMappingDestroy(&pcis->BtoNmap)); 447 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetUseStiffnessScaling_C",NULL)); 448 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainScalingFactor_C",NULL)); 449 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainDiagonalScaling_C",NULL)); 450 PetscFunctionReturn(0); 451 } 452 453 /* -------------------------------------------------------------------------- */ 454 /* 455 PCISCreate - 456 */ 457 PetscErrorCode PCISCreate(PC pc) 458 { 459 PC_IS *pcis = (PC_IS*)(pc->data); 460 461 PetscFunctionBegin; 462 pcis->n_neigh = -1; 463 pcis->scaling_factor = 1.0; 464 pcis->reusesubmatrices = PETSC_TRUE; 465 /* composing functions */ 466 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetUseStiffnessScaling_C",PCISSetUseStiffnessScaling_IS)); 467 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainScalingFactor_C",PCISSetSubdomainScalingFactor_IS)); 468 CHKERRQ(PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainDiagonalScaling_C",PCISSetSubdomainDiagonalScaling_IS)); 469 PetscFunctionReturn(0); 470 } 471 472 /* -------------------------------------------------------------------------- */ 473 /* 474 PCISApplySchur - 475 476 Input parameters: 477 . pc - preconditioner context 478 . v - vector to which the Schur complement is to be applied (it is NOT modified inside this function, UNLESS vec2_B is null) 479 480 Output parameters: 481 . vec1_B - result of Schur complement applied to chunk 482 . vec2_B - garbage (used as work space), or null (and v is used as workspace) 483 . vec1_D - garbage (used as work space) 484 . vec2_D - garbage (used as work space) 485 486 */ 487 PetscErrorCode PCISApplySchur(PC pc, Vec v, Vec vec1_B, Vec vec2_B, Vec vec1_D, Vec vec2_D) 488 { 489 PC_IS *pcis = (PC_IS*)(pc->data); 490 491 PetscFunctionBegin; 492 if (!vec2_B) vec2_B = v; 493 494 CHKERRQ(MatMult(pcis->A_BB,v,vec1_B)); 495 CHKERRQ(MatMult(pcis->A_IB,v,vec1_D)); 496 CHKERRQ(KSPSolve(pcis->ksp_D,vec1_D,vec2_D)); 497 CHKERRQ(KSPCheckSolve(pcis->ksp_D,pc,vec2_D)); 498 CHKERRQ(MatMult(pcis->A_BI,vec2_D,vec2_B)); 499 CHKERRQ(VecAXPY(vec1_B,-1.0,vec2_B)); 500 PetscFunctionReturn(0); 501 } 502 503 /* -------------------------------------------------------------------------- */ 504 /* 505 PCISScatterArrayNToVecB - Scatters interface node values from a big array (of all local nodes, interior or interface, 506 including ghosts) into an interface vector, when in SCATTER_FORWARD mode, or vice-versa, when in SCATTER_REVERSE 507 mode. 508 509 Input parameters: 510 . pc - preconditioner context 511 . array_N - [when in SCATTER_FORWARD mode] Array to be scattered into the vector 512 . v_B - [when in SCATTER_REVERSE mode] Vector to be scattered into the array 513 514 Output parameter: 515 . array_N - [when in SCATTER_REVERSE mode] Array to receive the scattered vector 516 . v_B - [when in SCATTER_FORWARD mode] Vector to receive the scattered array 517 518 Notes: 519 The entries in the array that do not correspond to interface nodes remain unaltered. 520 */ 521 PetscErrorCode PCISScatterArrayNToVecB(PetscScalar *array_N, Vec v_B, InsertMode imode, ScatterMode smode, PC pc) 522 { 523 PetscInt i; 524 const PetscInt *idex; 525 PetscScalar *array_B; 526 PC_IS *pcis = (PC_IS*)(pc->data); 527 528 PetscFunctionBegin; 529 CHKERRQ(VecGetArray(v_B,&array_B)); 530 CHKERRQ(ISGetIndices(pcis->is_B_local,&idex)); 531 532 if (smode == SCATTER_FORWARD) { 533 if (imode == INSERT_VALUES) { 534 for (i=0; i<pcis->n_B; i++) array_B[i] = array_N[idex[i]]; 535 } else { /* ADD_VALUES */ 536 for (i=0; i<pcis->n_B; i++) array_B[i] += array_N[idex[i]]; 537 } 538 } else { /* SCATTER_REVERSE */ 539 if (imode == INSERT_VALUES) { 540 for (i=0; i<pcis->n_B; i++) array_N[idex[i]] = array_B[i]; 541 } else { /* ADD_VALUES */ 542 for (i=0; i<pcis->n_B; i++) array_N[idex[i]] += array_B[i]; 543 } 544 } 545 CHKERRQ(ISRestoreIndices(pcis->is_B_local,&idex)); 546 CHKERRQ(VecRestoreArray(v_B,&array_B)); 547 PetscFunctionReturn(0); 548 } 549 550 /* -------------------------------------------------------------------------- */ 551 /* 552 PCISApplyInvSchur - Solves the Neumann problem related to applying the inverse of the Schur complement. 553 More precisely, solves the problem: 554 [ A_II A_IB ] [ . ] [ 0 ] 555 [ ] [ ] = [ ] 556 [ A_BI A_BB ] [ x ] [ b ] 557 558 Input parameters: 559 . pc - preconditioner context 560 . b - vector of local interface nodes (including ghosts) 561 562 Output parameters: 563 . x - vector of local interface nodes (including ghosts); returns the application of the inverse of the Schur 564 complement to b 565 . vec1_N - vector of local nodes (interior and interface, including ghosts); returns garbage (used as work space) 566 . vec2_N - vector of local nodes (interior and interface, including ghosts); returns garbage (used as work space) 567 568 */ 569 PetscErrorCode PCISApplyInvSchur(PC pc, Vec b, Vec x, Vec vec1_N, Vec vec2_N) 570 { 571 PC_IS *pcis = (PC_IS*)(pc->data); 572 573 PetscFunctionBegin; 574 /* 575 Neumann solvers. 576 Applying the inverse of the local Schur complement, i.e, solving a Neumann 577 Problem with zero at the interior nodes of the RHS and extracting the interface 578 part of the solution. inverse Schur complement is applied to b and the result 579 is stored in x. 580 */ 581 /* Setting the RHS vec1_N */ 582 CHKERRQ(VecSet(vec1_N,0.0)); 583 CHKERRQ(VecScatterBegin(pcis->N_to_B,b,vec1_N,INSERT_VALUES,SCATTER_REVERSE)); 584 CHKERRQ(VecScatterEnd (pcis->N_to_B,b,vec1_N,INSERT_VALUES,SCATTER_REVERSE)); 585 /* Checking for consistency of the RHS */ 586 { 587 PetscBool flg = PETSC_FALSE; 588 CHKERRQ(PetscOptionsGetBool(NULL,NULL,"-pc_is_check_consistency",&flg,NULL)); 589 if (flg) { 590 PetscScalar average; 591 PetscViewer viewer; 592 CHKERRQ(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)pc),&viewer)); 593 594 CHKERRQ(VecSum(vec1_N,&average)); 595 average = average / ((PetscReal)pcis->n); 596 CHKERRQ(PetscViewerASCIIPushSynchronized(viewer)); 597 if (pcis->pure_neumann) { 598 CHKERRQ(PetscViewerASCIISynchronizedPrintf(viewer,"Subdomain %04d is floating. Average = % 1.14e\n",PetscGlobalRank,PetscAbsScalar(average))); 599 } else { 600 CHKERRQ(PetscViewerASCIISynchronizedPrintf(viewer,"Subdomain %04d is fixed. Average = % 1.14e\n",PetscGlobalRank,PetscAbsScalar(average))); 601 } 602 CHKERRQ(PetscViewerFlush(viewer)); 603 CHKERRQ(PetscViewerASCIIPopSynchronized(viewer)); 604 } 605 } 606 /* Solving the system for vec2_N */ 607 CHKERRQ(KSPSolve(pcis->ksp_N,vec1_N,vec2_N)); 608 CHKERRQ(KSPCheckSolve(pcis->ksp_N,pc,vec2_N)); 609 /* Extracting the local interface vector out of the solution */ 610 CHKERRQ(VecScatterBegin(pcis->N_to_B,vec2_N,x,INSERT_VALUES,SCATTER_FORWARD)); 611 CHKERRQ(VecScatterEnd (pcis->N_to_B,vec2_N,x,INSERT_VALUES,SCATTER_FORWARD)); 612 PetscFunctionReturn(0); 613 } 614