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