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) 77 { 78 PC_ILU *dir = (PC_ILU*)pc->data; 79 80 PetscFunctionBegin; 81 dir->inplace = PETSC_TRUE; 82 PetscFunctionReturn(0); 83 } 84 85 #undef __FUNCT__ 86 #define __FUNCT__ "PCSetFromOptions_ILU" 87 static PetscErrorCode PCSetFromOptions_ILU(PC pc) 88 { 89 PetscErrorCode ierr; 90 PetscInt itmp; 91 PetscBool flg; 92 PC_ILU *ilu = (PC_ILU*)pc->data; 93 PetscReal tol; 94 /* PetscReal dt[3]; */ 95 96 PetscFunctionBegin; 97 ierr = PetscOptionsHead("ILU Options");CHKERRQ(ierr); 98 ierr = PCSetFromOptions_Factor(pc);CHKERRQ(ierr); 99 100 ierr = PetscOptionsInt("-pc_factor_levels","levels of fill","PCFactorSetLevels",(PetscInt)((PC_Factor*)ilu)->info.levels,&itmp,&flg);CHKERRQ(ierr); 101 if (flg) ((PC_Factor*)ilu)->info.levels = itmp; 102 103 flg = PETSC_FALSE; 104 ierr = PetscOptionsBool("-pc_factor_diagonal_fill","Allow fill into empty diagonal entry","PCFactorSetAllowDiagonalFill",flg,&flg,NULL);CHKERRQ(ierr); 105 ((PC_Factor*)ilu)->info.diagonal_fill = (double) flg; 106 /* 107 dt[0] = ((PC_Factor*)ilu)->info.dt; 108 dt[1] = ((PC_Factor*)ilu)->info.dtcol; 109 dt[2] = ((PC_Factor*)ilu)->info.dtcount; 110 111 PetscInt dtmax = 3; 112 ierr = PetscOptionsRealArray("-pc_factor_drop_tolerance,","<dt,dtcol,maxrowcount>","PCFactorSetDropTolerance",dt,&dtmax,&flg);CHKERRQ(ierr); 113 if (flg) { 114 ierr = PCFactorSetDropTolerance(pc,dt[0],dt[1],(PetscInt)dt[2]);CHKERRQ(ierr); 115 } 116 */ 117 ierr = PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);CHKERRQ(ierr); 118 if (flg) { 119 tol = PETSC_DECIDE; 120 ierr = PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",ilu->nonzerosalongdiagonaltol,&tol,0);CHKERRQ(ierr); 121 ierr = PCFactorReorderForNonzeroDiagonal(pc,tol);CHKERRQ(ierr); 122 } 123 124 ierr = PetscOptionsTail();CHKERRQ(ierr); 125 PetscFunctionReturn(0); 126 } 127 128 #undef __FUNCT__ 129 #define __FUNCT__ "PCView_ILU" 130 static PetscErrorCode PCView_ILU(PC pc,PetscViewer viewer) 131 { 132 PC_ILU *ilu = (PC_ILU*)pc->data; 133 PetscErrorCode ierr; 134 PetscBool iascii; 135 136 PetscFunctionBegin; 137 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 138 if (iascii) { 139 if (ilu->inplace) { 140 ierr = PetscViewerASCIIPrintf(viewer," ILU: in-place factorization\n");CHKERRQ(ierr); 141 } else { 142 ierr = PetscViewerASCIIPrintf(viewer," ILU: out-of-place factorization\n");CHKERRQ(ierr); 143 } 144 145 if (ilu->reusefill) {ierr = PetscViewerASCIIPrintf(viewer," ILU: Reusing fill from past factorization\n");CHKERRQ(ierr);} 146 if (ilu->reuseordering) {ierr = PetscViewerASCIIPrintf(viewer," ILU: Reusing reordering from past factorization\n");CHKERRQ(ierr);} 147 } 148 ierr = PCView_Factor(pc,viewer);CHKERRQ(ierr); 149 PetscFunctionReturn(0); 150 } 151 152 #undef __FUNCT__ 153 #define __FUNCT__ "PCSetUp_ILU" 154 static PetscErrorCode PCSetUp_ILU(PC pc) 155 { 156 PetscErrorCode ierr; 157 PC_ILU *ilu = (PC_ILU*)pc->data; 158 MatInfo info; 159 PetscBool flg; 160 161 PetscFunctionBegin; 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");CHKERRQ(ierr); 170 } 171 } 172 } 173 174 if (ilu->inplace) { 175 if (!pc->setupcalled) { 176 177 /* In-place factorization only makes sense with the natural ordering, 178 so we only need to get the ordering once, even if nonzero structure changes */ 179 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 180 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 181 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 182 } 183 184 /* In place ILU only makes sense with fill factor of 1.0 because 185 cannot have levels of fill */ 186 ((PC_Factor*)ilu)->info.fill = 1.0; 187 ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; 188 189 ierr = MatILUFactor(pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr);CHKERRQ(ierr); 190 ((PC_Factor*)ilu)->fact = pc->pmat; 191 } else { 192 if (!pc->setupcalled) { 193 /* first time in so compute reordering and symbolic factorization */ 194 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 195 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 196 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 197 /* Remove zeros along diagonal? */ 198 if (ilu->nonzerosalongdiagonal) { 199 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 200 } 201 if (!((PC_Factor*)ilu)->fact) { 202 ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 203 } 204 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 205 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 206 207 ilu->actualfill = info.fill_ratio_needed; 208 209 ierr = PetscLogObjectParent(pc,((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 210 } else if (pc->flag != SAME_NONZERO_PATTERN) { 211 if (!ilu->reuseordering) { 212 /* compute a new ordering for the ILU */ 213 ierr = ISDestroy(&ilu->row);CHKERRQ(ierr); 214 ierr = ISDestroy(&ilu->col);CHKERRQ(ierr); 215 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 216 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 217 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 218 /* Remove zeros along diagonal? */ 219 if (ilu->nonzerosalongdiagonal) { 220 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 221 } 222 } 223 ierr = MatDestroy(&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 224 ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 225 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 226 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 227 228 ilu->actualfill = info.fill_ratio_needed; 229 230 ierr = PetscLogObjectParent(pc,((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 231 } 232 ierr = MatLUFactorNumeric(((PC_Factor*)ilu)->fact,pc->pmat,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 233 } 234 PetscFunctionReturn(0); 235 } 236 237 #undef __FUNCT__ 238 #define __FUNCT__ "PCDestroy_ILU" 239 static PetscErrorCode PCDestroy_ILU(PC pc) 240 { 241 PC_ILU *ilu = (PC_ILU*)pc->data; 242 PetscErrorCode ierr; 243 244 PetscFunctionBegin; 245 ierr = PCReset_ILU(pc);CHKERRQ(ierr); 246 ierr = PetscFree(((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); 247 ierr = PetscFree(((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 248 ierr = PetscFree(pc->data);CHKERRQ(ierr); 249 PetscFunctionReturn(0); 250 } 251 252 #undef __FUNCT__ 253 #define __FUNCT__ "PCApply_ILU" 254 static PetscErrorCode PCApply_ILU(PC pc,Vec x,Vec y) 255 { 256 PC_ILU *ilu = (PC_ILU*)pc->data; 257 PetscErrorCode ierr; 258 259 PetscFunctionBegin; 260 ierr = MatSolve(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 261 PetscFunctionReturn(0); 262 } 263 264 #undef __FUNCT__ 265 #define __FUNCT__ "PCApplyTranspose_ILU" 266 static PetscErrorCode PCApplyTranspose_ILU(PC pc,Vec x,Vec y) 267 { 268 PC_ILU *ilu = (PC_ILU*)pc->data; 269 PetscErrorCode ierr; 270 271 PetscFunctionBegin; 272 ierr = MatSolveTranspose(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 273 PetscFunctionReturn(0); 274 } 275 276 #undef __FUNCT__ 277 #define __FUNCT__ "PCApplySymmetricLeft_ILU" 278 static PetscErrorCode PCApplySymmetricLeft_ILU(PC pc,Vec x,Vec y) 279 { 280 PetscErrorCode ierr; 281 PC_ILU *icc = (PC_ILU*)pc->data; 282 283 PetscFunctionBegin; 284 ierr = MatForwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); 285 PetscFunctionReturn(0); 286 } 287 288 #undef __FUNCT__ 289 #define __FUNCT__ "PCApplySymmetricRight_ILU" 290 static PetscErrorCode PCApplySymmetricRight_ILU(PC pc,Vec x,Vec y) 291 { 292 PetscErrorCode ierr; 293 PC_ILU *icc = (PC_ILU*)pc->data; 294 295 PetscFunctionBegin; 296 ierr = MatBackwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); 297 PetscFunctionReturn(0); 298 } 299 300 /*MC 301 PCILU - Incomplete factorization preconditioners. 302 303 Options Database Keys: 304 + -pc_factor_levels <k> - number of levels of fill for ILU(k) 305 . -pc_factor_in_place - only for ILU(0) with natural ordering, reuses the space of the matrix for 306 its factorization (overwrites original matrix) 307 . -pc_factor_diagonal_fill - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill 308 . -pc_factor_reuse_ordering - reuse ordering of factorized matrix from previous factorization 309 . -pc_factor_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1 310 . -pc_factor_nonzeros_along_diagonal - reorder the matrix before factorization to remove zeros from the diagonal, 311 this decreases the chance of getting a zero pivot 312 . -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix 313 . -pc_factor_pivot_in_blocks - for block ILU(k) factorization, i.e. with BAIJ matrices with block size larger 314 than 1 the diagonal blocks are factored with partial pivoting (this increases the 315 stability of the ILU factorization 316 317 Level: beginner 318 319 Concepts: incomplete factorization 320 321 Notes: Only implemented for some matrix formats. (for parallel see PCHYPRE for hypre's ILU) 322 323 For BAIJ matrices this implements a point block ILU 324 325 The "symmetric" application of this preconditioner is not actually symmetric since L is not transpose(U) 326 even when the matrix is not symmetric since the U stores the diagonals of the factorization. 327 328 If you are using MATSEQAIJCUSP matrices (or MATMPIAIJCUSP matrices with block Jacobi) you must have ./configured 329 PETSc with also --download-txpetscgpu to have the triangular solves performed on the GPU (factorization is never 330 done on the GPU). 331 332 References: 333 T. Dupont, R. Kendall, and H. Rachford. An approximate factorization procedure for solving 334 self-adjoint elliptic difference equations. SIAM J. Numer. Anal., 5:559--573, 1968. 335 336 T.A. Oliphant. An implicit numerical method for solving two-dimensional time-dependent dif- 337 fusion problems. Quart. Appl. Math., 19:221--229, 1961. 338 339 Review article: APPROXIMATE AND INCOMPLETE FACTORIZATIONS, TONY F. CHAN AND HENK A. VAN DER VORST 340 http://igitur-archive.library.uu.nl/math/2001-0621-115821/proc.pdf chapter in Parallel Numerical 341 Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in 342 Science and Engineering, Kluwer, pp. 167--202. 343 344 345 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType, 346 PCFactorSetZeroPivot(), PCFactorSetShiftSetType(), PCFactorSetAmount(), 347 PCFactorSetDropTolerance(),PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(), 348 PCFactorSetLevels(), PCFactorSetUseInPlace(), PCFactorSetAllowDiagonalFill(), PCFactorSetPivotInBlocks() 349 350 M*/ 351 352 #undef __FUNCT__ 353 #define __FUNCT__ "PCCreate_ILU" 354 PETSC_EXTERN PetscErrorCode PCCreate_ILU(PC pc) 355 { 356 PetscErrorCode ierr; 357 PC_ILU *ilu; 358 359 PetscFunctionBegin; 360 ierr = PetscNewLog(pc,PC_ILU,&ilu);CHKERRQ(ierr); 361 362 ((PC_Factor*)ilu)->fact = 0; 363 ierr = MatFactorInfoInitialize(&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 364 ((PC_Factor*)ilu)->factortype = MAT_FACTOR_ILU; 365 ((PC_Factor*)ilu)->info.levels = 0.; 366 ((PC_Factor*)ilu)->info.fill = 1.0; 367 ilu->col = 0; 368 ilu->row = 0; 369 ilu->inplace = PETSC_FALSE; 370 ierr = PetscStrallocpy(MATSOLVERPETSC,&((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); 371 ierr = PetscStrallocpy(MATORDERINGNATURAL,(char**)&((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 372 ilu->reuseordering = PETSC_FALSE; 373 ((PC_Factor*)ilu)->info.dt = PETSC_DEFAULT; 374 ((PC_Factor*)ilu)->info.dtcount = PETSC_DEFAULT; 375 ((PC_Factor*)ilu)->info.dtcol = PETSC_DEFAULT; 376 ((PC_Factor*)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_INBLOCKS; 377 ((PC_Factor*)ilu)->info.shiftamount = 100.0*PETSC_MACHINE_EPSILON; 378 ((PC_Factor*)ilu)->info.zeropivot = 100.0*PETSC_MACHINE_EPSILON; 379 ((PC_Factor*)ilu)->info.pivotinblocks = 1.0; 380 ilu->reusefill = PETSC_FALSE; 381 ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; 382 pc->data = (void*)ilu; 383 384 pc->ops->reset = PCReset_ILU; 385 pc->ops->destroy = PCDestroy_ILU; 386 pc->ops->apply = PCApply_ILU; 387 pc->ops->applytranspose = PCApplyTranspose_ILU; 388 pc->ops->setup = PCSetUp_ILU; 389 pc->ops->setfromoptions = PCSetFromOptions_ILU; 390 pc->ops->getfactoredmatrix = PCFactorGetMatrix_Factor; 391 pc->ops->view = PCView_ILU; 392 pc->ops->applysymmetricleft = PCApplySymmetricLeft_ILU; 393 pc->ops->applysymmetricright = PCApplySymmetricRight_ILU; 394 pc->ops->applyrichardson = 0; 395 396 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetZeroPivot_C",PCFactorSetZeroPivot_Factor);CHKERRQ(ierr); 397 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftType_C",PCFactorSetShiftType_Factor);CHKERRQ(ierr); 398 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftAmount_C",PCFactorSetShiftAmount_Factor);CHKERRQ(ierr); 399 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetMatSolverPackage_C",PCFactorGetMatSolverPackage_Factor);CHKERRQ(ierr); 400 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatSolverPackage_C",PCFactorSetMatSolverPackage_Factor);CHKERRQ(ierr); 401 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUpMatSolverPackage_C",PCFactorSetUpMatSolverPackage_Factor);CHKERRQ(ierr); 402 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetDropTolerance_C",PCFactorSetDropTolerance_ILU);CHKERRQ(ierr); 403 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetFill_C",PCFactorSetFill_Factor);CHKERRQ(ierr); 404 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatOrderingType_C",PCFactorSetMatOrderingType_Factor);CHKERRQ(ierr); 405 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseOrdering_C",PCFactorSetReuseOrdering_ILU);CHKERRQ(ierr); 406 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseFill_C",PCFactorSetReuseFill_ILU);CHKERRQ(ierr); 407 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetLevels_C",PCFactorSetLevels_Factor);CHKERRQ(ierr); 408 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUseInPlace_C",PCFactorSetUseInPlace_ILU);CHKERRQ(ierr); 409 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetAllowDiagonalFill_C",PCFactorSetAllowDiagonalFill_Factor);CHKERRQ(ierr); 410 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetPivotInBlocks_C",PCFactorSetPivotInBlocks_Factor);CHKERRQ(ierr); 411 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_ILU);CHKERRQ(ierr); 412 PetscFunctionReturn(0); 413 } 414