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 PetscErrorCode ierr; 32 33 PetscFunctionBegin; 34 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 35 PetscValidLogicalCollectiveBool(pc,use,2); 36 ierr = PetscTryMethod(pc,"PCISSetUseStiffnessScaling_C",(PC,PetscBool),(pc,use));CHKERRQ(ierr); 37 PetscFunctionReturn(0); 38 } 39 40 static PetscErrorCode PCISSetSubdomainDiagonalScaling_IS(PC pc, Vec scaling_factors) 41 { 42 PetscErrorCode ierr; 43 PC_IS *pcis = (PC_IS*)pc->data; 44 45 PetscFunctionBegin; 46 ierr = PetscObjectReference((PetscObject)scaling_factors);CHKERRQ(ierr); 47 ierr = VecDestroy(&pcis->D);CHKERRQ(ierr); 48 pcis->D = scaling_factors; 49 if (pc->setupcalled) { 50 PetscInt sn; 51 52 ierr = VecGetSize(pcis->D,&sn);CHKERRQ(ierr); 53 if (sn == pcis->n) { 54 ierr = VecScatterBegin(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 55 ierr = VecScatterEnd(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 56 ierr = VecDestroy(&pcis->D);CHKERRQ(ierr); 57 ierr = VecDuplicate(pcis->vec1_B,&pcis->D);CHKERRQ(ierr); 58 ierr = VecCopy(pcis->vec1_B,pcis->D);CHKERRQ(ierr); 59 } else if (sn != pcis->n_B) SETERRQ3(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); 60 } 61 PetscFunctionReturn(0); 62 } 63 64 /*@ 65 PCISSetSubdomainDiagonalScaling - Set diagonal scaling for PCIS. 66 67 Not collective 68 69 Input Parameters: 70 + pc - the preconditioning context 71 - scaling_factors - scaling factors for the subdomain 72 73 Level: intermediate 74 75 Notes: 76 Intended to use with jumping coefficients cases. 77 78 .seealso: PCBDDC 79 @*/ 80 PetscErrorCode PCISSetSubdomainDiagonalScaling(PC pc, Vec scaling_factors) 81 { 82 PetscErrorCode ierr; 83 84 PetscFunctionBegin; 85 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 86 PetscValidHeaderSpecific(scaling_factors,VEC_CLASSID,2); 87 ierr = PetscTryMethod(pc,"PCISSetSubdomainDiagonalScaling_C",(PC,Vec),(pc,scaling_factors));CHKERRQ(ierr); 88 PetscFunctionReturn(0); 89 } 90 91 static PetscErrorCode PCISSetSubdomainScalingFactor_IS(PC pc, PetscScalar scal) 92 { 93 PC_IS *pcis = (PC_IS*)pc->data; 94 95 PetscFunctionBegin; 96 pcis->scaling_factor = scal; 97 if (pcis->D) { 98 PetscErrorCode ierr; 99 100 ierr = VecSet(pcis->D,pcis->scaling_factor);CHKERRQ(ierr); 101 } 102 PetscFunctionReturn(0); 103 } 104 105 /*@ 106 PCISSetSubdomainScalingFactor - Set scaling factor for PCIS. 107 108 Not collective 109 110 Input Parameters: 111 + pc - the preconditioning context 112 - scal - scaling factor for the subdomain 113 114 Level: intermediate 115 116 Notes: 117 Intended to use with jumping coefficients cases. 118 119 .seealso: PCBDDC 120 @*/ 121 PetscErrorCode PCISSetSubdomainScalingFactor(PC pc, PetscScalar scal) 122 { 123 PetscErrorCode ierr; 124 125 PetscFunctionBegin; 126 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 127 ierr = PetscTryMethod(pc,"PCISSetSubdomainScalingFactor_C",(PC,PetscScalar),(pc,scal));CHKERRQ(ierr); 128 PetscFunctionReturn(0); 129 } 130 131 /* -------------------------------------------------------------------------- */ 132 /* 133 PCISSetUp - 134 */ 135 PetscErrorCode PCISSetUp(PC pc, PetscBool computematrices, PetscBool computesolvers) 136 { 137 PC_IS *pcis = (PC_IS*)(pc->data); 138 Mat_IS *matis; 139 MatReuse reuse; 140 PetscErrorCode ierr; 141 PetscBool flg,issbaij; 142 143 PetscFunctionBegin; 144 ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATIS,&flg);CHKERRQ(ierr); 145 if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONG,"Requires preconditioning matrix of type MATIS"); 146 matis = (Mat_IS*)pc->pmat->data; 147 if (pc->useAmat) { 148 ierr = PetscObjectTypeCompare((PetscObject)pc->mat,MATIS,&flg);CHKERRQ(ierr); 149 if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONG,"Requires linear system matrix of type MATIS"); 150 } 151 152 /* first time creation, get info on substructuring */ 153 if (!pc->setupcalled) { 154 PetscInt n_I; 155 PetscInt *idx_I_local,*idx_B_local,*idx_I_global,*idx_B_global; 156 PetscBT bt; 157 PetscInt i,j; 158 159 /* get info on mapping */ 160 ierr = PetscObjectReference((PetscObject)pc->pmat->rmap->mapping);CHKERRQ(ierr); 161 ierr = ISLocalToGlobalMappingDestroy(&pcis->mapping);CHKERRQ(ierr); 162 pcis->mapping = pc->pmat->rmap->mapping; 163 ierr = ISLocalToGlobalMappingGetSize(pcis->mapping,&pcis->n);CHKERRQ(ierr); 164 ierr = ISLocalToGlobalMappingGetInfo(pcis->mapping,&(pcis->n_neigh),&(pcis->neigh),&(pcis->n_shared),&(pcis->shared));CHKERRQ(ierr); 165 166 /* Identifying interior and interface nodes, in local numbering */ 167 ierr = PetscBTCreate(pcis->n,&bt);CHKERRQ(ierr); 168 for (i=0;i<pcis->n_neigh;i++) 169 for (j=0;j<pcis->n_shared[i];j++) { 170 ierr = PetscBTSet(bt,pcis->shared[i][j]);CHKERRQ(ierr); 171 } 172 173 /* Creating local and global index sets for interior and inteface nodes. */ 174 ierr = PetscMalloc1(pcis->n,&idx_I_local);CHKERRQ(ierr); 175 ierr = PetscMalloc1(pcis->n,&idx_B_local);CHKERRQ(ierr); 176 for (i=0, pcis->n_B=0, n_I=0; i<pcis->n; i++) { 177 if (!PetscBTLookup(bt,i)) { 178 idx_I_local[n_I] = i; 179 n_I++; 180 } else { 181 idx_B_local[pcis->n_B] = i; 182 pcis->n_B++; 183 } 184 } 185 186 /* Getting the global numbering */ 187 idx_B_global = idx_I_local + n_I; /* Just avoiding allocating extra memory, since we have vacant space */ 188 idx_I_global = idx_B_local + pcis->n_B; 189 ierr = ISLocalToGlobalMappingApply(pcis->mapping,pcis->n_B,idx_B_local,idx_B_global);CHKERRQ(ierr); 190 ierr = ISLocalToGlobalMappingApply(pcis->mapping,n_I,idx_I_local,idx_I_global);CHKERRQ(ierr); 191 192 /* Creating the index sets */ 193 ierr = ISCreateGeneral(PETSC_COMM_SELF,pcis->n_B,idx_B_local,PETSC_COPY_VALUES, &pcis->is_B_local);CHKERRQ(ierr); 194 ierr = ISCreateGeneral(PetscObjectComm((PetscObject)pc),pcis->n_B,idx_B_global,PETSC_COPY_VALUES,&pcis->is_B_global);CHKERRQ(ierr); 195 ierr = ISCreateGeneral(PETSC_COMM_SELF,n_I,idx_I_local,PETSC_COPY_VALUES, &pcis->is_I_local);CHKERRQ(ierr); 196 ierr = ISCreateGeneral(PetscObjectComm((PetscObject)pc),n_I,idx_I_global,PETSC_COPY_VALUES,&pcis->is_I_global);CHKERRQ(ierr); 197 198 /* Freeing memory */ 199 ierr = PetscFree(idx_B_local);CHKERRQ(ierr); 200 ierr = PetscFree(idx_I_local);CHKERRQ(ierr); 201 ierr = PetscBTDestroy(&bt);CHKERRQ(ierr); 202 203 /* Creating work vectors and arrays */ 204 ierr = VecDuplicate(matis->x,&pcis->vec1_N);CHKERRQ(ierr); 205 ierr = VecDuplicate(pcis->vec1_N,&pcis->vec2_N);CHKERRQ(ierr); 206 ierr = VecCreate(PETSC_COMM_SELF,&pcis->vec1_D);CHKERRQ(ierr); 207 ierr = VecSetSizes(pcis->vec1_D,pcis->n-pcis->n_B,PETSC_DECIDE);CHKERRQ(ierr); 208 ierr = VecSetType(pcis->vec1_D,((PetscObject)pcis->vec1_N)->type_name);CHKERRQ(ierr); 209 ierr = VecDuplicate(pcis->vec1_D,&pcis->vec2_D);CHKERRQ(ierr); 210 ierr = VecDuplicate(pcis->vec1_D,&pcis->vec3_D);CHKERRQ(ierr); 211 ierr = VecDuplicate(pcis->vec1_D,&pcis->vec4_D);CHKERRQ(ierr); 212 ierr = VecCreate(PETSC_COMM_SELF,&pcis->vec1_B);CHKERRQ(ierr); 213 ierr = VecSetSizes(pcis->vec1_B,pcis->n_B,PETSC_DECIDE);CHKERRQ(ierr); 214 ierr = VecSetType(pcis->vec1_B,((PetscObject)pcis->vec1_N)->type_name);CHKERRQ(ierr); 215 ierr = VecDuplicate(pcis->vec1_B,&pcis->vec2_B);CHKERRQ(ierr); 216 ierr = VecDuplicate(pcis->vec1_B,&pcis->vec3_B);CHKERRQ(ierr); 217 ierr = MatCreateVecs(pc->pmat,&pcis->vec1_global,NULL);CHKERRQ(ierr); 218 ierr = PetscMalloc1(pcis->n,&pcis->work_N);CHKERRQ(ierr); 219 /* scaling vector */ 220 if (!pcis->D) { /* it can happen that the user passed in a scaling vector via PCISSetSubdomainDiagonalScaling */ 221 ierr = VecDuplicate(pcis->vec1_B,&pcis->D);CHKERRQ(ierr); 222 ierr = VecSet(pcis->D,pcis->scaling_factor);CHKERRQ(ierr); 223 } 224 225 /* Creating the scatter contexts */ 226 ierr = VecScatterCreate(pcis->vec1_N,pcis->is_I_local,pcis->vec1_D,(IS)0,&pcis->N_to_D);CHKERRQ(ierr); 227 ierr = VecScatterCreate(pcis->vec1_global,pcis->is_I_global,pcis->vec1_D,(IS)0,&pcis->global_to_D);CHKERRQ(ierr); 228 ierr = VecScatterCreate(pcis->vec1_N,pcis->is_B_local,pcis->vec1_B,(IS)0,&pcis->N_to_B);CHKERRQ(ierr); 229 ierr = VecScatterCreate(pcis->vec1_global,pcis->is_B_global,pcis->vec1_B,(IS)0,&pcis->global_to_B);CHKERRQ(ierr); 230 231 /* map from boundary to local */ 232 ierr = ISLocalToGlobalMappingCreateIS(pcis->is_B_local,&pcis->BtoNmap);CHKERRQ(ierr); 233 } 234 235 { 236 PetscInt sn; 237 238 ierr = VecGetSize(pcis->D,&sn);CHKERRQ(ierr); 239 if (sn == pcis->n) { 240 ierr = VecScatterBegin(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 241 ierr = VecScatterEnd(pcis->N_to_B,pcis->D,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 242 ierr = VecDestroy(&pcis->D);CHKERRQ(ierr); 243 ierr = VecDuplicate(pcis->vec1_B,&pcis->D);CHKERRQ(ierr); 244 ierr = VecCopy(pcis->vec1_B,pcis->D);CHKERRQ(ierr); 245 } else if (sn != pcis->n_B) SETERRQ3(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); 246 } 247 248 /* 249 Extracting the blocks A_II, A_BI, A_IB and A_BB from A. If the numbering 250 is such that interior nodes come first than the interface ones, we have 251 252 [ A_II | A_IB ] 253 A = [------+------] 254 [ A_BI | A_BB ] 255 */ 256 if (computematrices) { 257 PetscBool amat = (PetscBool)(pc->mat != pc->pmat && pc->useAmat); 258 PetscInt bs,ibs; 259 260 reuse = MAT_INITIAL_MATRIX; 261 if (pcis->reusesubmatrices && pc->setupcalled) { 262 if (pc->flag == SAME_NONZERO_PATTERN) { 263 reuse = MAT_REUSE_MATRIX; 264 } else { 265 reuse = MAT_INITIAL_MATRIX; 266 } 267 } 268 if (reuse == MAT_INITIAL_MATRIX) { 269 ierr = MatDestroy(&pcis->A_II);CHKERRQ(ierr); 270 ierr = MatDestroy(&pcis->pA_II);CHKERRQ(ierr); 271 ierr = MatDestroy(&pcis->A_IB);CHKERRQ(ierr); 272 ierr = MatDestroy(&pcis->A_BI);CHKERRQ(ierr); 273 ierr = MatDestroy(&pcis->A_BB);CHKERRQ(ierr); 274 } 275 276 ierr = ISLocalToGlobalMappingGetBlockSize(pcis->mapping,&ibs);CHKERRQ(ierr); 277 ierr = MatGetBlockSize(matis->A,&bs);CHKERRQ(ierr); 278 ierr = MatCreateSubMatrix(matis->A,pcis->is_I_local,pcis->is_I_local,reuse,&pcis->pA_II);CHKERRQ(ierr); 279 if (amat) { 280 Mat_IS *amatis = (Mat_IS*)pc->mat->data; 281 ierr = MatCreateSubMatrix(amatis->A,pcis->is_I_local,pcis->is_I_local,reuse,&pcis->A_II);CHKERRQ(ierr); 282 } else { 283 ierr = PetscObjectReference((PetscObject)pcis->pA_II);CHKERRQ(ierr); 284 ierr = MatDestroy(&pcis->A_II);CHKERRQ(ierr); 285 pcis->A_II = pcis->pA_II; 286 } 287 ierr = MatSetBlockSize(pcis->A_II,bs == ibs ? bs : 1);CHKERRQ(ierr); 288 ierr = MatSetBlockSize(pcis->pA_II,bs == ibs ? bs : 1);CHKERRQ(ierr); 289 ierr = MatCreateSubMatrix(matis->A,pcis->is_B_local,pcis->is_B_local,reuse,&pcis->A_BB);CHKERRQ(ierr); 290 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQSBAIJ,&issbaij);CHKERRQ(ierr); 291 if (!issbaij) { 292 ierr = MatCreateSubMatrix(matis->A,pcis->is_I_local,pcis->is_B_local,reuse,&pcis->A_IB);CHKERRQ(ierr); 293 ierr = MatCreateSubMatrix(matis->A,pcis->is_B_local,pcis->is_I_local,reuse,&pcis->A_BI);CHKERRQ(ierr); 294 } else { 295 Mat newmat; 296 297 ierr = MatConvert(matis->A,MATSEQBAIJ,MAT_INITIAL_MATRIX,&newmat);CHKERRQ(ierr); 298 ierr = MatCreateSubMatrix(newmat,pcis->is_I_local,pcis->is_B_local,reuse,&pcis->A_IB);CHKERRQ(ierr); 299 ierr = MatCreateSubMatrix(newmat,pcis->is_B_local,pcis->is_I_local,reuse,&pcis->A_BI);CHKERRQ(ierr); 300 ierr = MatDestroy(&newmat);CHKERRQ(ierr); 301 } 302 ierr = MatSetBlockSize(pcis->A_BB,bs == ibs ? bs : 1);CHKERRQ(ierr); 303 } 304 305 /* Creating scaling vector D */ 306 ierr = PetscOptionsGetBool(((PetscObject)pc)->options,((PetscObject)pc)->prefix,"-pc_is_use_stiffness_scaling",&pcis->use_stiffness_scaling,NULL);CHKERRQ(ierr); 307 if (pcis->use_stiffness_scaling) { 308 PetscScalar *a; 309 PetscInt i,n; 310 311 if (pcis->A_BB) { 312 ierr = MatGetDiagonal(pcis->A_BB,pcis->D);CHKERRQ(ierr); 313 } else { 314 ierr = MatGetDiagonal(matis->A,pcis->vec1_N);CHKERRQ(ierr); 315 ierr = VecScatterBegin(pcis->N_to_B,pcis->vec1_N,pcis->D,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 316 ierr = VecScatterEnd(pcis->N_to_B,pcis->vec1_N,pcis->D,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 317 } 318 ierr = VecAbs(pcis->D);CHKERRQ(ierr); 319 ierr = VecGetLocalSize(pcis->D,&n);CHKERRQ(ierr); 320 ierr = VecGetArray(pcis->D,&a);CHKERRQ(ierr); 321 for (i=0;i<n;i++) if (PetscAbsScalar(a[i])<PETSC_SMALL) a[i] = 1.0; 322 ierr = VecRestoreArray(pcis->D,&a);CHKERRQ(ierr); 323 } 324 ierr = VecSet(pcis->vec1_global,0.0);CHKERRQ(ierr); 325 ierr = VecScatterBegin(pcis->global_to_B,pcis->D,pcis->vec1_global,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 326 ierr = VecScatterEnd(pcis->global_to_B,pcis->D,pcis->vec1_global,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 327 ierr = VecScatterBegin(pcis->global_to_B,pcis->vec1_global,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 328 ierr = VecScatterEnd(pcis->global_to_B,pcis->vec1_global,pcis->vec1_B,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 329 ierr = VecPointwiseDivide(pcis->D,pcis->D,pcis->vec1_B);CHKERRQ(ierr); 330 /* See historical note 01, at the bottom of this file. */ 331 332 /* Creating the KSP contexts for the local Dirichlet and Neumann problems */ 333 if (computesolvers) { 334 PC pc_ctx; 335 336 pcis->pure_neumann = matis->pure_neumann; 337 /* Dirichlet */ 338 ierr = KSPCreate(PETSC_COMM_SELF,&pcis->ksp_D);CHKERRQ(ierr); 339 ierr = KSPSetErrorIfNotConverged(pcis->ksp_D,pc->erroriffailure);CHKERRQ(ierr); 340 ierr = PetscObjectIncrementTabLevel((PetscObject)pcis->ksp_D,(PetscObject)pc,1);CHKERRQ(ierr); 341 ierr = KSPSetOperators(pcis->ksp_D,pcis->A_II,pcis->A_II);CHKERRQ(ierr); 342 ierr = KSPSetOptionsPrefix(pcis->ksp_D,"is_localD_");CHKERRQ(ierr); 343 ierr = KSPGetPC(pcis->ksp_D,&pc_ctx);CHKERRQ(ierr); 344 ierr = PCSetType(pc_ctx,PCLU);CHKERRQ(ierr); 345 ierr = KSPSetType(pcis->ksp_D,KSPPREONLY);CHKERRQ(ierr); 346 ierr = KSPSetFromOptions(pcis->ksp_D);CHKERRQ(ierr); 347 /* the vectors in the following line are dummy arguments, just telling the KSP the vector size. Values are not used */ 348 ierr = KSPSetUp(pcis->ksp_D);CHKERRQ(ierr); 349 /* Neumann */ 350 ierr = KSPCreate(PETSC_COMM_SELF,&pcis->ksp_N);CHKERRQ(ierr); 351 ierr = KSPSetErrorIfNotConverged(pcis->ksp_N,pc->erroriffailure);CHKERRQ(ierr); 352 ierr = PetscObjectIncrementTabLevel((PetscObject)pcis->ksp_N,(PetscObject)pc,1);CHKERRQ(ierr); 353 ierr = KSPSetOperators(pcis->ksp_N,matis->A,matis->A);CHKERRQ(ierr); 354 ierr = KSPSetOptionsPrefix(pcis->ksp_N,"is_localN_");CHKERRQ(ierr); 355 ierr = KSPGetPC(pcis->ksp_N,&pc_ctx);CHKERRQ(ierr); 356 ierr = PCSetType(pc_ctx,PCLU);CHKERRQ(ierr); 357 ierr = KSPSetType(pcis->ksp_N,KSPPREONLY);CHKERRQ(ierr); 358 ierr = KSPSetFromOptions(pcis->ksp_N);CHKERRQ(ierr); 359 { 360 PetscBool damp_fixed = PETSC_FALSE, 361 remove_nullspace_fixed = PETSC_FALSE, 362 set_damping_factor_floating = PETSC_FALSE, 363 not_damp_floating = PETSC_FALSE, 364 not_remove_nullspace_floating = PETSC_FALSE; 365 PetscReal fixed_factor, 366 floating_factor; 367 368 ierr = PetscOptionsGetReal(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_damp_fixed",&fixed_factor,&damp_fixed);CHKERRQ(ierr); 369 if (!damp_fixed) fixed_factor = 0.0; 370 ierr = PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_damp_fixed",&damp_fixed,NULL);CHKERRQ(ierr); 371 372 ierr = PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_remove_nullspace_fixed",&remove_nullspace_fixed,NULL);CHKERRQ(ierr); 373 374 ierr = PetscOptionsGetReal(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_set_damping_factor_floating", 375 &floating_factor,&set_damping_factor_floating);CHKERRQ(ierr); 376 if (!set_damping_factor_floating) floating_factor = 0.0; 377 ierr = PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_set_damping_factor_floating",&set_damping_factor_floating,NULL);CHKERRQ(ierr); 378 if (!set_damping_factor_floating) floating_factor = 1.e-12; 379 380 ierr = PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_not_damp_floating",¬_damp_floating,NULL);CHKERRQ(ierr); 381 382 ierr = PetscOptionsGetBool(((PetscObject)pc_ctx)->options,((PetscObject)pc_ctx)->prefix,"-pc_is_not_remove_nullspace_floating",¬_remove_nullspace_floating,NULL);CHKERRQ(ierr); 383 384 if (pcis->pure_neumann) { /* floating subdomain */ 385 if (!(not_damp_floating)) { 386 ierr = PCFactorSetShiftType(pc_ctx,MAT_SHIFT_NONZERO);CHKERRQ(ierr); 387 ierr = PCFactorSetShiftAmount(pc_ctx,floating_factor);CHKERRQ(ierr); 388 } 389 if (!(not_remove_nullspace_floating)) { 390 MatNullSpace nullsp; 391 ierr = MatNullSpaceCreate(PETSC_COMM_SELF,PETSC_TRUE,0,NULL,&nullsp);CHKERRQ(ierr); 392 ierr = MatSetNullSpace(matis->A,nullsp);CHKERRQ(ierr); 393 ierr = MatNullSpaceDestroy(&nullsp);CHKERRQ(ierr); 394 } 395 } else { /* fixed subdomain */ 396 if (damp_fixed) { 397 ierr = PCFactorSetShiftType(pc_ctx,MAT_SHIFT_NONZERO);CHKERRQ(ierr); 398 ierr = PCFactorSetShiftAmount(pc_ctx,floating_factor);CHKERRQ(ierr); 399 } 400 if (remove_nullspace_fixed) { 401 MatNullSpace nullsp; 402 ierr = MatNullSpaceCreate(PETSC_COMM_SELF,PETSC_TRUE,0,NULL,&nullsp);CHKERRQ(ierr); 403 ierr = MatSetNullSpace(matis->A,nullsp);CHKERRQ(ierr); 404 ierr = MatNullSpaceDestroy(&nullsp);CHKERRQ(ierr); 405 } 406 } 407 } 408 /* the vectors in the following line are dummy arguments, just telling the KSP the vector size. Values are not used */ 409 ierr = KSPSetUp(pcis->ksp_N);CHKERRQ(ierr); 410 } 411 PetscFunctionReturn(0); 412 } 413 414 /* -------------------------------------------------------------------------- */ 415 /* 416 PCISDestroy - 417 */ 418 PetscErrorCode PCISDestroy(PC pc) 419 { 420 PC_IS *pcis = (PC_IS*)(pc->data); 421 PetscErrorCode ierr; 422 423 PetscFunctionBegin; 424 ierr = ISDestroy(&pcis->is_B_local);CHKERRQ(ierr); 425 ierr = ISDestroy(&pcis->is_I_local);CHKERRQ(ierr); 426 ierr = ISDestroy(&pcis->is_B_global);CHKERRQ(ierr); 427 ierr = ISDestroy(&pcis->is_I_global);CHKERRQ(ierr); 428 ierr = MatDestroy(&pcis->A_II);CHKERRQ(ierr); 429 ierr = MatDestroy(&pcis->pA_II);CHKERRQ(ierr); 430 ierr = MatDestroy(&pcis->A_IB);CHKERRQ(ierr); 431 ierr = MatDestroy(&pcis->A_BI);CHKERRQ(ierr); 432 ierr = MatDestroy(&pcis->A_BB);CHKERRQ(ierr); 433 ierr = VecDestroy(&pcis->D);CHKERRQ(ierr); 434 ierr = KSPDestroy(&pcis->ksp_N);CHKERRQ(ierr); 435 ierr = KSPDestroy(&pcis->ksp_D);CHKERRQ(ierr); 436 ierr = VecDestroy(&pcis->vec1_N);CHKERRQ(ierr); 437 ierr = VecDestroy(&pcis->vec2_N);CHKERRQ(ierr); 438 ierr = VecDestroy(&pcis->vec1_D);CHKERRQ(ierr); 439 ierr = VecDestroy(&pcis->vec2_D);CHKERRQ(ierr); 440 ierr = VecDestroy(&pcis->vec3_D);CHKERRQ(ierr); 441 ierr = VecDestroy(&pcis->vec4_D);CHKERRQ(ierr); 442 ierr = VecDestroy(&pcis->vec1_B);CHKERRQ(ierr); 443 ierr = VecDestroy(&pcis->vec2_B);CHKERRQ(ierr); 444 ierr = VecDestroy(&pcis->vec3_B);CHKERRQ(ierr); 445 ierr = VecDestroy(&pcis->vec1_global);CHKERRQ(ierr); 446 ierr = VecScatterDestroy(&pcis->global_to_D);CHKERRQ(ierr); 447 ierr = VecScatterDestroy(&pcis->N_to_B);CHKERRQ(ierr); 448 ierr = VecScatterDestroy(&pcis->N_to_D);CHKERRQ(ierr); 449 ierr = VecScatterDestroy(&pcis->global_to_B);CHKERRQ(ierr); 450 ierr = PetscFree(pcis->work_N);CHKERRQ(ierr); 451 if (pcis->n_neigh > -1) { 452 ierr = ISLocalToGlobalMappingRestoreInfo(pcis->mapping,&(pcis->n_neigh),&(pcis->neigh),&(pcis->n_shared),&(pcis->shared));CHKERRQ(ierr); 453 } 454 ierr = ISLocalToGlobalMappingDestroy(&pcis->mapping);CHKERRQ(ierr); 455 ierr = ISLocalToGlobalMappingDestroy(&pcis->BtoNmap);CHKERRQ(ierr); 456 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetUseStiffnessScaling_C",NULL);CHKERRQ(ierr); 457 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainScalingFactor_C",NULL);CHKERRQ(ierr); 458 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainDiagonalScaling_C",NULL);CHKERRQ(ierr); 459 PetscFunctionReturn(0); 460 } 461 462 /* -------------------------------------------------------------------------- */ 463 /* 464 PCISCreate - 465 */ 466 PetscErrorCode PCISCreate(PC pc) 467 { 468 PC_IS *pcis = (PC_IS*)(pc->data); 469 PetscErrorCode ierr; 470 471 PetscFunctionBegin; 472 pcis->n_neigh = -1; 473 pcis->scaling_factor = 1.0; 474 pcis->reusesubmatrices = PETSC_TRUE; 475 /* composing functions */ 476 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetUseStiffnessScaling_C",PCISSetUseStiffnessScaling_IS);CHKERRQ(ierr); 477 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainScalingFactor_C",PCISSetSubdomainScalingFactor_IS);CHKERRQ(ierr); 478 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCISSetSubdomainDiagonalScaling_C",PCISSetSubdomainDiagonalScaling_IS);CHKERRQ(ierr); 479 PetscFunctionReturn(0); 480 } 481 482 /* -------------------------------------------------------------------------- */ 483 /* 484 PCISApplySchur - 485 486 Input parameters: 487 . pc - preconditioner context 488 . v - vector to which the Schur complement is to be applied (it is NOT modified inside this function, UNLESS vec2_B is null) 489 490 Output parameters: 491 . vec1_B - result of Schur complement applied to chunk 492 . vec2_B - garbage (used as work space), or null (and v is used as workspace) 493 . vec1_D - garbage (used as work space) 494 . vec2_D - garbage (used as work space) 495 496 */ 497 PetscErrorCode PCISApplySchur(PC pc, Vec v, Vec vec1_B, Vec vec2_B, Vec vec1_D, Vec vec2_D) 498 { 499 PetscErrorCode ierr; 500 PC_IS *pcis = (PC_IS*)(pc->data); 501 502 PetscFunctionBegin; 503 if (!vec2_B) vec2_B = v; 504 505 ierr = MatMult(pcis->A_BB,v,vec1_B);CHKERRQ(ierr); 506 ierr = MatMult(pcis->A_IB,v,vec1_D);CHKERRQ(ierr); 507 ierr = KSPSolve(pcis->ksp_D,vec1_D,vec2_D);CHKERRQ(ierr); 508 ierr = KSPCheckSolve(pcis->ksp_D,pc,vec2_D);CHKERRQ(ierr); 509 ierr = MatMult(pcis->A_BI,vec2_D,vec2_B);CHKERRQ(ierr); 510 ierr = VecAXPY(vec1_B,-1.0,vec2_B);CHKERRQ(ierr); 511 PetscFunctionReturn(0); 512 } 513 514 /* -------------------------------------------------------------------------- */ 515 /* 516 PCISScatterArrayNToVecB - Scatters interface node values from a big array (of all local nodes, interior or interface, 517 including ghosts) into an interface vector, when in SCATTER_FORWARD mode, or vice-versa, when in SCATTER_REVERSE 518 mode. 519 520 Input parameters: 521 . pc - preconditioner context 522 . array_N - [when in SCATTER_FORWARD mode] Array to be scattered into the vector 523 . v_B - [when in SCATTER_REVERSE mode] Vector to be scattered into the array 524 525 Output parameter: 526 . array_N - [when in SCATTER_REVERSE mode] Array to receive the scattered vector 527 . v_B - [when in SCATTER_FORWARD mode] Vector to receive the scattered array 528 529 Notes: 530 The entries in the array that do not correspond to interface nodes remain unaltered. 531 */ 532 PetscErrorCode PCISScatterArrayNToVecB(PetscScalar *array_N, Vec v_B, InsertMode imode, ScatterMode smode, PC pc) 533 { 534 PetscInt i; 535 const PetscInt *idex; 536 PetscErrorCode ierr; 537 PetscScalar *array_B; 538 PC_IS *pcis = (PC_IS*)(pc->data); 539 540 PetscFunctionBegin; 541 ierr = VecGetArray(v_B,&array_B);CHKERRQ(ierr); 542 ierr = ISGetIndices(pcis->is_B_local,&idex);CHKERRQ(ierr); 543 544 if (smode == SCATTER_FORWARD) { 545 if (imode == INSERT_VALUES) { 546 for (i=0; i<pcis->n_B; i++) array_B[i] = array_N[idex[i]]; 547 } else { /* ADD_VALUES */ 548 for (i=0; i<pcis->n_B; i++) array_B[i] += array_N[idex[i]]; 549 } 550 } else { /* SCATTER_REVERSE */ 551 if (imode == INSERT_VALUES) { 552 for (i=0; i<pcis->n_B; i++) array_N[idex[i]] = array_B[i]; 553 } else { /* ADD_VALUES */ 554 for (i=0; i<pcis->n_B; i++) array_N[idex[i]] += array_B[i]; 555 } 556 } 557 ierr = ISRestoreIndices(pcis->is_B_local,&idex);CHKERRQ(ierr); 558 ierr = VecRestoreArray(v_B,&array_B);CHKERRQ(ierr); 559 PetscFunctionReturn(0); 560 } 561 562 /* -------------------------------------------------------------------------- */ 563 /* 564 PCISApplyInvSchur - Solves the Neumann problem related to applying the inverse of the Schur complement. 565 More precisely, solves the problem: 566 [ A_II A_IB ] [ . ] [ 0 ] 567 [ ] [ ] = [ ] 568 [ A_BI A_BB ] [ x ] [ b ] 569 570 Input parameters: 571 . pc - preconditioner context 572 . b - vector of local interface nodes (including ghosts) 573 574 Output parameters: 575 . x - vector of local interface nodes (including ghosts); returns the application of the inverse of the Schur 576 complement to b 577 . vec1_N - vector of local nodes (interior and interface, including ghosts); returns garbage (used as work space) 578 . vec2_N - vector of local nodes (interior and interface, including ghosts); returns garbage (used as work space) 579 580 */ 581 PetscErrorCode PCISApplyInvSchur(PC pc, Vec b, Vec x, Vec vec1_N, Vec vec2_N) 582 { 583 PetscErrorCode ierr; 584 PC_IS *pcis = (PC_IS*)(pc->data); 585 586 PetscFunctionBegin; 587 /* 588 Neumann solvers. 589 Applying the inverse of the local Schur complement, i.e, solving a Neumann 590 Problem with zero at the interior nodes of the RHS and extracting the interface 591 part of the solution. inverse Schur complement is applied to b and the result 592 is stored in x. 593 */ 594 /* Setting the RHS vec1_N */ 595 ierr = VecSet(vec1_N,0.0);CHKERRQ(ierr); 596 ierr = VecScatterBegin(pcis->N_to_B,b,vec1_N,INSERT_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 597 ierr = VecScatterEnd (pcis->N_to_B,b,vec1_N,INSERT_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 598 /* Checking for consistency of the RHS */ 599 { 600 PetscBool flg = PETSC_FALSE; 601 ierr = PetscOptionsGetBool(NULL,NULL,"-pc_is_check_consistency",&flg,NULL);CHKERRQ(ierr); 602 if (flg) { 603 PetscScalar average; 604 PetscViewer viewer; 605 ierr = PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)pc),&viewer);CHKERRQ(ierr); 606 607 ierr = VecSum(vec1_N,&average);CHKERRQ(ierr); 608 average = average / ((PetscReal)pcis->n); 609 ierr = PetscViewerASCIIPushSynchronized(viewer);CHKERRQ(ierr); 610 if (pcis->pure_neumann) { 611 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"Subdomain %04d is floating. Average = % 1.14e\n",PetscGlobalRank,PetscAbsScalar(average));CHKERRQ(ierr); 612 } else { 613 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"Subdomain %04d is fixed. Average = % 1.14e\n",PetscGlobalRank,PetscAbsScalar(average));CHKERRQ(ierr); 614 } 615 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 616 ierr = PetscViewerASCIIPopSynchronized(viewer);CHKERRQ(ierr); 617 } 618 } 619 /* Solving the system for vec2_N */ 620 ierr = KSPSolve(pcis->ksp_N,vec1_N,vec2_N);CHKERRQ(ierr); 621 ierr = KSPCheckSolve(pcis->ksp_N,pc,vec2_N);CHKERRQ(ierr); 622 /* Extracting the local interface vector out of the solution */ 623 ierr = VecScatterBegin(pcis->N_to_B,vec2_N,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 624 ierr = VecScatterEnd (pcis->N_to_B,vec2_N,x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 625 PetscFunctionReturn(0); 626 } 627