1 2 /* 3 Defines a ILU factorization preconditioner for any Mat implementation 4 */ 5 #include <../src/ksp/pc/impls/factor/ilu/ilu.h> /*I "petscpc.h" I*/ 6 7 /* ------------------------------------------------------------------------------------------*/ 8 #undef __FUNCT__ 9 #define __FUNCT__ "PCFactorSetReuseFill_ILU" 10 PetscErrorCode PCFactorSetReuseFill_ILU(PC pc,PetscBool flag) 11 { 12 PC_ILU *lu = (PC_ILU*)pc->data; 13 14 PetscFunctionBegin; 15 lu->reusefill = flag; 16 PetscFunctionReturn(0); 17 } 18 19 #undef __FUNCT__ 20 #define __FUNCT__ "PCFactorReorderForNonzeroDiagonal_ILU" 21 PetscErrorCode PCFactorReorderForNonzeroDiagonal_ILU(PC pc,PetscReal z) 22 { 23 PC_ILU *ilu = (PC_ILU*)pc->data; 24 25 PetscFunctionBegin; 26 ilu->nonzerosalongdiagonal = PETSC_TRUE; 27 if (z == PETSC_DECIDE) ilu->nonzerosalongdiagonaltol = 1.e-10; 28 else ilu->nonzerosalongdiagonaltol = z; 29 PetscFunctionReturn(0); 30 } 31 32 #undef __FUNCT__ 33 #define __FUNCT__ "PCReset_ILU" 34 PetscErrorCode PCReset_ILU(PC pc) 35 { 36 PC_ILU *ilu = (PC_ILU*)pc->data; 37 PetscErrorCode ierr; 38 39 PetscFunctionBegin; 40 if (!ilu->inplace) {ierr = MatDestroy(&((PC_Factor*)ilu)->fact);CHKERRQ(ierr);} 41 if (ilu->row && ilu->col && ilu->row != ilu->col) {ierr = ISDestroy(&ilu->row);CHKERRQ(ierr);} 42 ierr = ISDestroy(&ilu->col);CHKERRQ(ierr); 43 PetscFunctionReturn(0); 44 } 45 46 #undef __FUNCT__ 47 #define __FUNCT__ "PCFactorSetDropTolerance_ILU" 48 PetscErrorCode PCFactorSetDropTolerance_ILU(PC pc,PetscReal dt,PetscReal dtcol,PetscInt dtcount) 49 { 50 PC_ILU *ilu = (PC_ILU*)pc->data; 51 52 PetscFunctionBegin; 53 if (pc->setupcalled && (((PC_Factor*)ilu)->info.dt != dt || ((PC_Factor*)ilu)->info.dtcol != dtcol || ((PC_Factor*)ilu)->info.dtcount != dtcount)) { 54 SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot change drop tolerance after using PC"); 55 } 56 ((PC_Factor*)ilu)->info.dt = dt; 57 ((PC_Factor*)ilu)->info.dtcol = dtcol; 58 ((PC_Factor*)ilu)->info.dtcount = dtcount; 59 ((PC_Factor*)ilu)->info.usedt = 1.0; 60 PetscFunctionReturn(0); 61 } 62 63 #undef __FUNCT__ 64 #define __FUNCT__ "PCFactorSetReuseOrdering_ILU" 65 PetscErrorCode PCFactorSetReuseOrdering_ILU(PC pc,PetscBool flag) 66 { 67 PC_ILU *ilu = (PC_ILU*)pc->data; 68 69 PetscFunctionBegin; 70 ilu->reuseordering = flag; 71 PetscFunctionReturn(0); 72 } 73 74 #undef __FUNCT__ 75 #define __FUNCT__ "PCFactorSetUseInPlace_ILU" 76 PetscErrorCode PCFactorSetUseInPlace_ILU(PC pc,PetscBool flg) 77 { 78 PC_ILU *dir = (PC_ILU*)pc->data; 79 80 PetscFunctionBegin; 81 dir->inplace = flg; 82 PetscFunctionReturn(0); 83 } 84 85 #undef __FUNCT__ 86 #define __FUNCT__ "PCFactorGetUseInPlace_ILU" 87 PetscErrorCode PCFactorGetUseInPlace_ILU(PC pc,PetscBool *flg) 88 { 89 PC_ILU *dir = (PC_ILU*)pc->data; 90 91 PetscFunctionBegin; 92 *flg = dir->inplace; 93 PetscFunctionReturn(0); 94 } 95 96 #undef __FUNCT__ 97 #define __FUNCT__ "PCSetFromOptions_ILU" 98 static PetscErrorCode PCSetFromOptions_ILU(PetscOptionItems *PetscOptionsObject,PC pc) 99 { 100 PetscErrorCode ierr; 101 PetscInt itmp; 102 PetscBool flg,set; 103 PC_ILU *ilu = (PC_ILU*)pc->data; 104 PetscReal tol; 105 106 PetscFunctionBegin; 107 ierr = PetscOptionsHead(PetscOptionsObject,"ILU Options");CHKERRQ(ierr); 108 ierr = PCSetFromOptions_Factor(PetscOptionsObject,pc);CHKERRQ(ierr); 109 110 ierr = PetscOptionsInt("-pc_factor_levels","levels of fill","PCFactorSetLevels",(PetscInt)((PC_Factor*)ilu)->info.levels,&itmp,&flg);CHKERRQ(ierr); 111 if (flg) ((PC_Factor*)ilu)->info.levels = itmp; 112 113 ierr = PetscOptionsBool("-pc_factor_diagonal_fill","Allow fill into empty diagonal entry","PCFactorSetAllowDiagonalFill",((PC_Factor*)ilu)->info.diagonal_fill ? PETSC_TRUE : PETSC_FALSE,&flg,&set);CHKERRQ(ierr); 114 if (set) ((PC_Factor*)ilu)->info.diagonal_fill = (PetscReal) flg; 115 ierr = PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);CHKERRQ(ierr); 116 if (flg) { 117 tol = PETSC_DECIDE; 118 ierr = PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",ilu->nonzerosalongdiagonaltol,&tol,0);CHKERRQ(ierr); 119 ierr = PCFactorReorderForNonzeroDiagonal(pc,tol);CHKERRQ(ierr); 120 } 121 122 ierr = PetscOptionsTail();CHKERRQ(ierr); 123 PetscFunctionReturn(0); 124 } 125 126 #undef __FUNCT__ 127 #define __FUNCT__ "PCView_ILU" 128 static PetscErrorCode PCView_ILU(PC pc,PetscViewer viewer) 129 { 130 PC_ILU *ilu = (PC_ILU*)pc->data; 131 PetscErrorCode ierr; 132 PetscBool iascii; 133 134 PetscFunctionBegin; 135 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 136 if (iascii) { 137 if (ilu->inplace) { 138 ierr = PetscViewerASCIIPrintf(viewer," ILU: in-place factorization\n");CHKERRQ(ierr); 139 } else { 140 ierr = PetscViewerASCIIPrintf(viewer," ILU: out-of-place factorization\n");CHKERRQ(ierr); 141 } 142 143 if (ilu->reusefill) {ierr = PetscViewerASCIIPrintf(viewer," ILU: Reusing fill from past factorization\n");CHKERRQ(ierr);} 144 if (ilu->reuseordering) {ierr = PetscViewerASCIIPrintf(viewer," ILU: Reusing reordering from past factorization\n");CHKERRQ(ierr);} 145 } 146 ierr = PCView_Factor(pc,viewer);CHKERRQ(ierr); 147 PetscFunctionReturn(0); 148 } 149 150 #undef __FUNCT__ 151 #define __FUNCT__ "PCSetUp_ILU" 152 static PetscErrorCode PCSetUp_ILU(PC pc) 153 { 154 PetscErrorCode ierr; 155 PC_ILU *ilu = (PC_ILU*)pc->data; 156 MatInfo info; 157 PetscBool flg; 158 const MatSolverPackage stype; 159 160 PetscFunctionBegin; 161 pc->failedreason = PC_NOERROR; 162 /* ugly hack to change default, since it is not support by some matrix types */ 163 if (((PC_Factor*)ilu)->info.shifttype == (PetscReal)MAT_SHIFT_NONZERO) { 164 ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATSEQAIJ,&flg);CHKERRQ(ierr); 165 if (!flg) { 166 ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATMPIAIJ,&flg);CHKERRQ(ierr); 167 if (!flg) { 168 ((PC_Factor*)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_INBLOCKS; 169 PetscInfo(pc,"Changing shift type from NONZERO to INBLOCKS because block matrices do not support NONZERO\n");CHKERRQ(ierr); 170 } 171 } 172 } 173 174 ierr = MatSetErrorIfFailure(pc->pmat,pc->erroriffailure);CHKERRQ(ierr); 175 if (ilu->inplace) { 176 if (!pc->setupcalled) { 177 178 /* In-place factorization only makes sense with the natural ordering, 179 so we only need to get the ordering once, even if nonzero structure changes */ 180 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 181 if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} 182 if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} 183 } 184 185 /* In place ILU only makes sense with fill factor of 1.0 because 186 cannot have levels of fill */ 187 ((PC_Factor*)ilu)->info.fill = 1.0; 188 ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; 189 190 ierr = MatILUFactor(pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr);CHKERRQ(ierr); 191 if (pc->pmat->errortype) { /* Factor() fails */ 192 pc->failedreason = (PCFailedReason)pc->pmat->errortype; 193 PetscFunctionReturn(0); 194 } 195 196 ((PC_Factor*)ilu)->fact = pc->pmat; 197 /* must update the pc record of the matrix state or the PC will attempt to run PCSetUp() yet again */ 198 ierr = PetscObjectStateGet((PetscObject)pc->pmat,&pc->matstate);CHKERRQ(ierr); 199 } else { 200 Mat F; 201 if (!pc->setupcalled) { 202 /* first time in so compute reordering and symbolic factorization */ 203 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 204 if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} 205 if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} 206 /* Remove zeros along diagonal? */ 207 if (ilu->nonzerosalongdiagonal) { 208 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 209 } 210 if (!((PC_Factor*)ilu)->fact) { 211 ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 212 } 213 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 214 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 215 216 ilu->actualfill = info.fill_ratio_needed; 217 218 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 219 } else if (pc->flag != SAME_NONZERO_PATTERN) { 220 if (!ilu->reuseordering) { 221 /* compute a new ordering for the ILU */ 222 ierr = ISDestroy(&ilu->row);CHKERRQ(ierr); 223 ierr = ISDestroy(&ilu->col);CHKERRQ(ierr); 224 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 225 if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} 226 if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} 227 /* Remove zeros along diagonal? */ 228 if (ilu->nonzerosalongdiagonal) { 229 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 230 } 231 } 232 ierr = MatDestroy(&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 233 ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 234 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 235 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 236 237 ilu->actualfill = info.fill_ratio_needed; 238 239 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 240 } 241 F = ((PC_Factor*)ilu)->fact; 242 if (F->errortype) { /* FactorSymbolic() fails */ 243 pc->failedreason = (PCFailedReason)F->errortype; 244 PetscFunctionReturn(0); 245 } 246 247 ierr = MatLUFactorNumeric(((PC_Factor*)ilu)->fact,pc->pmat,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 248 if (F->errortype) { /* FactorNumeric() fails */ 249 pc->failedreason = (PCFailedReason)F->errortype; 250 } 251 } 252 253 ierr = PCFactorGetMatSolverPackage(pc,&stype);CHKERRQ(ierr); 254 if (!stype) { 255 ierr = PCFactorSetMatSolverPackage(pc,((PC_Factor*)ilu)->fact->solvertype);CHKERRQ(ierr); 256 } 257 PetscFunctionReturn(0); 258 } 259 260 #undef __FUNCT__ 261 #define __FUNCT__ "PCDestroy_ILU" 262 static PetscErrorCode PCDestroy_ILU(PC pc) 263 { 264 PC_ILU *ilu = (PC_ILU*)pc->data; 265 PetscErrorCode ierr; 266 267 PetscFunctionBegin; 268 ierr = PCReset_ILU(pc);CHKERRQ(ierr); 269 ierr = PetscFree(((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); 270 ierr = PetscFree(((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 271 ierr = PetscFree(pc->data);CHKERRQ(ierr); 272 PetscFunctionReturn(0); 273 } 274 275 #undef __FUNCT__ 276 #define __FUNCT__ "PCApply_ILU" 277 static PetscErrorCode PCApply_ILU(PC pc,Vec x,Vec y) 278 { 279 PC_ILU *ilu = (PC_ILU*)pc->data; 280 PetscErrorCode ierr; 281 282 PetscFunctionBegin; 283 ierr = MatSolve(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 284 PetscFunctionReturn(0); 285 } 286 287 #undef __FUNCT__ 288 #define __FUNCT__ "PCApplyTranspose_ILU" 289 static PetscErrorCode PCApplyTranspose_ILU(PC pc,Vec x,Vec y) 290 { 291 PC_ILU *ilu = (PC_ILU*)pc->data; 292 PetscErrorCode ierr; 293 294 PetscFunctionBegin; 295 ierr = MatSolveTranspose(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 296 PetscFunctionReturn(0); 297 } 298 299 #undef __FUNCT__ 300 #define __FUNCT__ "PCApplySymmetricLeft_ILU" 301 static PetscErrorCode PCApplySymmetricLeft_ILU(PC pc,Vec x,Vec y) 302 { 303 PetscErrorCode ierr; 304 PC_ILU *icc = (PC_ILU*)pc->data; 305 306 PetscFunctionBegin; 307 ierr = MatForwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); 308 PetscFunctionReturn(0); 309 } 310 311 #undef __FUNCT__ 312 #define __FUNCT__ "PCApplySymmetricRight_ILU" 313 static PetscErrorCode PCApplySymmetricRight_ILU(PC pc,Vec x,Vec y) 314 { 315 PetscErrorCode ierr; 316 PC_ILU *icc = (PC_ILU*)pc->data; 317 318 PetscFunctionBegin; 319 ierr = MatBackwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); 320 PetscFunctionReturn(0); 321 } 322 323 /*MC 324 PCILU - Incomplete factorization preconditioners. 325 326 Options Database Keys: 327 + -pc_factor_levels <k> - number of levels of fill for ILU(k) 328 . -pc_factor_in_place - only for ILU(0) with natural ordering, reuses the space of the matrix for 329 its factorization (overwrites original matrix) 330 . -pc_factor_diagonal_fill - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill 331 . -pc_factor_reuse_ordering - reuse ordering of factorized matrix from previous factorization 332 . -pc_factor_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1 333 . -pc_factor_nonzeros_along_diagonal - reorder the matrix before factorization to remove zeros from the diagonal, 334 this decreases the chance of getting a zero pivot 335 . -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix 336 - -pc_factor_pivot_in_blocks - for block ILU(k) factorization, i.e. with BAIJ matrices with block size larger 337 than 1 the diagonal blocks are factored with partial pivoting (this increases the 338 stability of the ILU factorization 339 340 Level: beginner 341 342 Concepts: incomplete factorization 343 344 Notes: Only implemented for some matrix formats. (for parallel see PCHYPRE for hypre's ILU) 345 346 For BAIJ matrices this implements a point block ILU 347 348 The "symmetric" application of this preconditioner is not actually symmetric since L is not transpose(U) 349 even when the matrix is not symmetric since the U stores the diagonals of the factorization. 350 351 If you are using MATSEQAIJCUSPARSE matrices (or MATMPIAIJCUSPARESE matrices with block Jacobi), factorization 352 is never done on the GPU). 353 354 References: 355 + 1. - T. Dupont, R. Kendall, and H. Rachford. An approximate factorization procedure for solving 356 self adjoint elliptic difference equations. SIAM J. Numer. Anal., 5, 1968. 357 . 2. - T.A. Oliphant. An implicit numerical method for solving two dimensional timedependent diffusion problems. Quart. Appl. Math., 19, 1961. 358 - 3. - TONY F. CHAN AND HENK A. VAN DER VORST, APPROXIMATE AND INCOMPLETE FACTORIZATIONS, 359 Chapter in Parallel Numerical 360 Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in 361 Science and Engineering, Kluwer. 362 363 364 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType, 365 PCFactorSetZeroPivot(), PCFactorSetShiftSetType(), PCFactorSetAmount(), 366 PCFactorSetDropTolerance(),PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(), 367 PCFactorSetLevels(), PCFactorSetUseInPlace(), PCFactorSetAllowDiagonalFill(), PCFactorSetPivotInBlocks(), 368 PCFactorGetAllowDiagonalFill(), PCFactorGetUseInPlace() 369 370 M*/ 371 372 #undef __FUNCT__ 373 #define __FUNCT__ "PCCreate_ILU" 374 PETSC_EXTERN PetscErrorCode PCCreate_ILU(PC pc) 375 { 376 PetscErrorCode ierr; 377 PC_ILU *ilu; 378 379 PetscFunctionBegin; 380 ierr = PetscNewLog(pc,&ilu);CHKERRQ(ierr); 381 382 ((PC_Factor*)ilu)->fact = 0; 383 ierr = MatFactorInfoInitialize(&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 384 ((PC_Factor*)ilu)->factortype = MAT_FACTOR_ILU; 385 ((PC_Factor*)ilu)->info.levels = 0.; 386 ((PC_Factor*)ilu)->info.fill = 1.0; 387 ilu->col = 0; 388 ilu->row = 0; 389 ilu->inplace = PETSC_FALSE; 390 ierr = PetscStrallocpy(MATORDERINGNATURAL,(char**)&((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 391 ilu->reuseordering = PETSC_FALSE; 392 ((PC_Factor*)ilu)->info.dt = PETSC_DEFAULT; 393 ((PC_Factor*)ilu)->info.dtcount = PETSC_DEFAULT; 394 ((PC_Factor*)ilu)->info.dtcol = PETSC_DEFAULT; 395 ((PC_Factor*)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_NONE; 396 ((PC_Factor*)ilu)->info.shiftamount = 100.0*PETSC_MACHINE_EPSILON; 397 ((PC_Factor*)ilu)->info.zeropivot = 100.0*PETSC_MACHINE_EPSILON; 398 ((PC_Factor*)ilu)->info.pivotinblocks = 1.0; 399 ilu->reusefill = PETSC_FALSE; 400 ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; 401 pc->data = (void*)ilu; 402 403 pc->ops->reset = PCReset_ILU; 404 pc->ops->destroy = PCDestroy_ILU; 405 pc->ops->apply = PCApply_ILU; 406 pc->ops->applytranspose = PCApplyTranspose_ILU; 407 pc->ops->setup = PCSetUp_ILU; 408 pc->ops->setfromoptions = PCSetFromOptions_ILU; 409 pc->ops->getfactoredmatrix = PCFactorGetMatrix_Factor; 410 pc->ops->view = PCView_ILU; 411 pc->ops->applysymmetricleft = PCApplySymmetricLeft_ILU; 412 pc->ops->applysymmetricright = PCApplySymmetricRight_ILU; 413 pc->ops->applyrichardson = 0; 414 415 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetZeroPivot_C",PCFactorSetZeroPivot_Factor);CHKERRQ(ierr); 416 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetZeroPivot_C",PCFactorGetZeroPivot_Factor);CHKERRQ(ierr); 417 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftType_C",PCFactorSetShiftType_Factor);CHKERRQ(ierr); 418 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetShiftType_C",PCFactorGetShiftType_Factor);CHKERRQ(ierr); 419 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftAmount_C",PCFactorSetShiftAmount_Factor);CHKERRQ(ierr); 420 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetShiftAmount_C",PCFactorGetShiftAmount_Factor);CHKERRQ(ierr); 421 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetMatSolverPackage_C",PCFactorGetMatSolverPackage_Factor);CHKERRQ(ierr); 422 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatSolverPackage_C",PCFactorSetMatSolverPackage_Factor);CHKERRQ(ierr); 423 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUpMatSolverPackage_C",PCFactorSetUpMatSolverPackage_Factor);CHKERRQ(ierr); 424 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetDropTolerance_C",PCFactorSetDropTolerance_ILU);CHKERRQ(ierr); 425 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetFill_C",PCFactorSetFill_Factor);CHKERRQ(ierr); 426 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatOrderingType_C",PCFactorSetMatOrderingType_Factor);CHKERRQ(ierr); 427 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseOrdering_C",PCFactorSetReuseOrdering_ILU);CHKERRQ(ierr); 428 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseFill_C",PCFactorSetReuseFill_ILU);CHKERRQ(ierr); 429 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetLevels_C",PCFactorSetLevels_Factor);CHKERRQ(ierr); 430 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetLevels_C",PCFactorGetLevels_Factor);CHKERRQ(ierr); 431 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUseInPlace_C",PCFactorSetUseInPlace_ILU);CHKERRQ(ierr); 432 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetUseInPlace_C",PCFactorGetUseInPlace_ILU);CHKERRQ(ierr); 433 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetAllowDiagonalFill_C",PCFactorSetAllowDiagonalFill_Factor);CHKERRQ(ierr); 434 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetAllowDiagonalFill_C",PCFactorGetAllowDiagonalFill_Factor);CHKERRQ(ierr); 435 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetPivotInBlocks_C",PCFactorSetPivotInBlocks_Factor);CHKERRQ(ierr); 436 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_ILU);CHKERRQ(ierr); 437 PetscFunctionReturn(0); 438 } 439