1 #define PETSCKSP_DLL 2 3 /* 4 Defines a ILU factorization preconditioner for any Mat implementation 5 */ 6 #include "../src/ksp/pc/impls/factor/ilu/ilu.h" /*I "petscpc.h" I*/ 7 8 /* ------------------------------------------------------------------------------------------*/ 9 EXTERN_C_BEGIN 10 #undef __FUNCT__ 11 #define __FUNCT__ "PCFactorSetReuseFill_ILU" 12 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetReuseFill_ILU(PC pc,PetscTruth flag) 13 { 14 PC_ILU *lu = (PC_ILU*)pc->data; 15 16 PetscFunctionBegin; 17 lu->reusefill = flag; 18 PetscFunctionReturn(0); 19 } 20 EXTERN_C_END 21 22 EXTERN_C_BEGIN 23 #undef __FUNCT__ 24 #define __FUNCT__ "PCFactorReorderForNonzeroDiagonal_ILU" 25 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorReorderForNonzeroDiagonal_ILU(PC pc,PetscReal z) 26 { 27 PC_ILU *ilu = (PC_ILU*)pc->data; 28 29 PetscFunctionBegin; 30 ilu->nonzerosalongdiagonal = PETSC_TRUE; 31 if (z == PETSC_DECIDE) { 32 ilu->nonzerosalongdiagonaltol = 1.e-10; 33 } else { 34 ilu->nonzerosalongdiagonaltol = z; 35 } 36 PetscFunctionReturn(0); 37 } 38 EXTERN_C_END 39 40 #undef __FUNCT__ 41 #define __FUNCT__ "PCDestroy_ILU_Internal" 42 PetscErrorCode PCDestroy_ILU_Internal(PC pc) 43 { 44 PC_ILU *ilu = (PC_ILU*)pc->data; 45 PetscErrorCode ierr; 46 47 PetscFunctionBegin; 48 if (!ilu->inplace && ((PC_Factor*)ilu)->fact) {ierr = MatDestroy(((PC_Factor*)ilu)->fact);CHKERRQ(ierr);} 49 if (ilu->row && ilu->col && ilu->row != ilu->col) {ierr = ISDestroy(ilu->row);CHKERRQ(ierr);} 50 if (ilu->col) {ierr = ISDestroy(ilu->col);CHKERRQ(ierr);} 51 PetscFunctionReturn(0); 52 } 53 54 EXTERN_C_BEGIN 55 #undef __FUNCT__ 56 #define __FUNCT__ "PCFactorSetDropTolerance_ILU" 57 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetDropTolerance_ILU(PC pc,PetscReal dt,PetscReal dtcol,PetscInt dtcount) 58 { 59 PC_ILU *ilu = (PC_ILU*)pc->data; 60 61 PetscFunctionBegin; 62 if (pc->setupcalled && (((PC_Factor*)ilu)->info.dt != dt || ((PC_Factor*)ilu)->info.dtcol != dtcol || ((PC_Factor*)ilu)->info.dtcount != dtcount)) { 63 SETERRQ(PETSC_ERR_SUP,"Cannot change drop tolerance after using PC"); 64 } 65 ((PC_Factor*)ilu)->info.dt = dt; 66 ((PC_Factor*)ilu)->info.dtcol = dtcol; 67 ((PC_Factor*)ilu)->info.dtcount = dtcount; 68 ((PC_Factor*)ilu)->info.usedt = 1.0; 69 PetscFunctionReturn(0); 70 } 71 EXTERN_C_END 72 73 EXTERN_C_BEGIN 74 #undef __FUNCT__ 75 #define __FUNCT__ "PCFactorSetReuseOrdering_ILU" 76 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetReuseOrdering_ILU(PC pc,PetscTruth flag) 77 { 78 PC_ILU *ilu = (PC_ILU*)pc->data; 79 80 PetscFunctionBegin; 81 ilu->reuseordering = flag; 82 PetscFunctionReturn(0); 83 } 84 EXTERN_C_END 85 86 EXTERN_C_BEGIN 87 #undef __FUNCT__ 88 #define __FUNCT__ "PCFactorSetUseInPlace_ILU" 89 PetscErrorCode PETSCKSP_DLLEXPORT PCFactorSetUseInPlace_ILU(PC pc) 90 { 91 PC_ILU *dir = (PC_ILU*)pc->data; 92 93 PetscFunctionBegin; 94 dir->inplace = PETSC_TRUE; 95 PetscFunctionReturn(0); 96 } 97 EXTERN_C_END 98 99 #undef __FUNCT__ 100 #define __FUNCT__ "PCSetFromOptions_ILU" 101 static PetscErrorCode PCSetFromOptions_ILU(PC pc) 102 { 103 PetscErrorCode ierr; 104 PetscInt dtmax = 3,itmp; 105 PetscTruth flg; 106 PetscReal dt[3]; 107 PC_ILU *ilu = (PC_ILU*)pc->data; 108 PetscReal tol; 109 110 PetscFunctionBegin; 111 ierr = PetscOptionsHead("ILU Options");CHKERRQ(ierr); 112 ierr = PCSetFromOptions_Factor(pc);CHKERRQ(ierr); 113 114 ierr = PetscOptionsInt("-pc_factor_levels","levels of fill","PCFactorSetLevels",(PetscInt)((PC_Factor*)ilu)->info.levels,&itmp,&flg);CHKERRQ(ierr); 115 if (flg) ((PC_Factor*)ilu)->info.levels = itmp; 116 flg = PETSC_FALSE; 117 ierr = PetscOptionsTruth("-pc_factor_diagonal_fill","Allow fill into empty diagonal entry","PCFactorSetAllowDiagonalFill",flg,&flg,PETSC_NULL);CHKERRQ(ierr); 118 ((PC_Factor*)ilu)->info.diagonal_fill = (double) flg; 119 120 dt[0] = ((PC_Factor*)ilu)->info.dt; 121 dt[1] = ((PC_Factor*)ilu)->info.dtcol; 122 dt[2] = ((PC_Factor*)ilu)->info.dtcount; 123 ierr = PetscOptionsRealArray("-pc_factor_drop_tolerance","<dt,dtcol,maxrowcount>","PCFactorSetDropTolerance",dt,&dtmax,&flg);CHKERRQ(ierr); 124 if (flg) { 125 ierr = PCFactorSetDropTolerance(pc,dt[0],dt[1],(PetscInt)dt[2]);CHKERRQ(ierr); 126 } 127 128 ierr = PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);CHKERRQ(ierr); 129 if (flg) { 130 tol = PETSC_DECIDE; 131 ierr = PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",ilu->nonzerosalongdiagonaltol,&tol,0);CHKERRQ(ierr); 132 ierr = PCFactorReorderForNonzeroDiagonal(pc,tol);CHKERRQ(ierr); 133 } 134 135 ierr = PetscOptionsTail();CHKERRQ(ierr); 136 PetscFunctionReturn(0); 137 } 138 139 #undef __FUNCT__ 140 #define __FUNCT__ "PCView_ILU" 141 static PetscErrorCode PCView_ILU(PC pc,PetscViewer viewer) 142 { 143 PC_ILU *ilu = (PC_ILU*)pc->data; 144 PetscErrorCode ierr; 145 PetscTruth isstring,iascii; 146 147 PetscFunctionBegin; 148 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_STRING,&isstring);CHKERRQ(ierr); 149 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr); 150 if (iascii) { 151 if (((PC_Factor*)ilu)->info.dt > 0) { 152 ierr = PetscViewerASCIIPrintf(viewer," ILU: drop tolerance %G\n",((PC_Factor*)ilu)->info.dt);CHKERRQ(ierr); 153 ierr = PetscViewerASCIIPrintf(viewer," ILU: max nonzeros per row %D\n",(PetscInt)((PC_Factor*)ilu)->info.dtcount);CHKERRQ(ierr); 154 ierr = PetscViewerASCIIPrintf(viewer," ILU: column permutation tolerance %G\n",((PC_Factor*)ilu)->info.dtcol);CHKERRQ(ierr); 155 } else if (((PC_Factor*)ilu)->info.levels == 1) { 156 ierr = PetscViewerASCIIPrintf(viewer," ILU: %D level of fill\n",(PetscInt)((PC_Factor*)ilu)->info.levels);CHKERRQ(ierr); 157 } else { 158 ierr = PetscViewerASCIIPrintf(viewer," ILU: %D levels of fill\n",(PetscInt)((PC_Factor*)ilu)->info.levels);CHKERRQ(ierr); 159 } 160 ierr = PetscViewerASCIIPrintf(viewer," ILU: factor fill ratio allocated %G\n",((PC_Factor*)ilu)->info.fill);CHKERRQ(ierr); 161 ierr = PetscViewerASCIIPrintf(viewer," ILU: tolerance for zero pivot %G\n",((PC_Factor*)ilu)->info.zeropivot);CHKERRQ(ierr); 162 163 if (((PC_Factor*)ilu)->info.shifttype==MAT_SHIFT_POSITIVE_DEFINITE) { 164 ierr = PetscViewerASCIIPrintf(viewer," ILU: using Manteuffel shift\n");CHKERRQ(ierr); 165 } 166 if (((PC_Factor*)ilu)->info.shifttype==MAT_SHIFT_NONZERO) { 167 ierr = PetscViewerASCIIPrintf(viewer," ILU: using diagonal shift to prevent zero pivot\n");CHKERRQ(ierr); 168 } 169 if (((PC_Factor*)ilu)->info.shifttype==MAT_SHIFT_INBLOCKS) { 170 ierr = PetscViewerASCIIPrintf(viewer," ILU: using diagonal shift on blocks to prevent zero pivot\n");CHKERRQ(ierr); 171 } 172 173 if (ilu->inplace) {ierr = PetscViewerASCIIPrintf(viewer," in-place factorization\n");CHKERRQ(ierr);} 174 else {ierr = PetscViewerASCIIPrintf(viewer," out-of-place factorization\n");CHKERRQ(ierr);} 175 ierr = PetscViewerASCIIPrintf(viewer," matrix ordering: %s\n",((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 176 if (ilu->reusefill) {ierr = PetscViewerASCIIPrintf(viewer," Reusing fill from past factorization\n");CHKERRQ(ierr);} 177 if (ilu->reuseordering) {ierr = PetscViewerASCIIPrintf(viewer," Reusing reordering from past factorization\n");CHKERRQ(ierr);} 178 if (((PC_Factor*)ilu)->fact) { 179 ierr = PetscViewerASCIIPrintf(viewer," ILU: factor fill ratio needed %G\n",ilu->actualfill);CHKERRQ(ierr); 180 ierr = PetscViewerASCIIPrintf(viewer," Factored matrix follows\n");CHKERRQ(ierr); 181 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 182 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 183 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 184 ierr = PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO);CHKERRQ(ierr); 185 ierr = MatView(((PC_Factor*)ilu)->fact,viewer);CHKERRQ(ierr); 186 ierr = PetscViewerPopFormat(viewer);CHKERRQ(ierr); 187 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 188 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 189 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 190 } 191 } else if (isstring) { 192 ierr = PetscViewerStringSPrintf(viewer," lvls=%D,order=%s",(PetscInt)((PC_Factor*)ilu)->info.levels,((PC_Factor*)ilu)->ordering);CHKERRQ(ierr);CHKERRQ(ierr); 193 } else { 194 SETERRQ1(PETSC_ERR_SUP,"Viewer type %s not supported for PCILU",((PetscObject)viewer)->type_name); 195 } 196 PetscFunctionReturn(0); 197 } 198 199 #undef __FUNCT__ 200 #define __FUNCT__ "PCSetUp_ILU" 201 static PetscErrorCode PCSetUp_ILU(PC pc) 202 { 203 PetscErrorCode ierr; 204 PC_ILU *ilu = (PC_ILU*)pc->data; 205 MatInfo info; 206 207 PetscFunctionBegin; 208 if (ilu->inplace) { 209 CHKMEMQ; 210 if (!pc->setupcalled) { 211 212 /* In-place factorization only makes sense with the natural ordering, 213 so we only need to get the ordering once, even if nonzero structure changes */ 214 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 215 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 216 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 217 } 218 219 /* In place ILU only makes sense with fill factor of 1.0 because 220 cannot have levels of fill */ 221 ((PC_Factor*)ilu)->info.fill = 1.0; 222 ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; 223 ierr = MatILUFactor(pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr);CHKMEMQ; 224 ((PC_Factor*)ilu)->fact = pc->pmat; 225 } else { 226 if (!pc->setupcalled) { 227 /* first time in so compute reordering and symbolic factorization */ 228 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 229 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 230 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 231 /* Remove zeros along diagonal? */ 232 if (ilu->nonzerosalongdiagonal) { 233 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 234 } 235 CHKMEMQ; 236 ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 237 CHKMEMQ; 238 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 239 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 240 ilu->actualfill = info.fill_ratio_needed; 241 ierr = PetscLogObjectParent(pc,((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 242 } else if (pc->flag != SAME_NONZERO_PATTERN) { 243 if (!ilu->reuseordering) { 244 /* compute a new ordering for the ILU */ 245 ierr = ISDestroy(ilu->row);CHKERRQ(ierr); 246 ierr = ISDestroy(ilu->col);CHKERRQ(ierr); 247 ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); 248 if (ilu->row) {ierr = PetscLogObjectParent(pc,ilu->row);CHKERRQ(ierr);} 249 if (ilu->col) {ierr = PetscLogObjectParent(pc,ilu->col);CHKERRQ(ierr);} 250 /* Remove zeros along diagonal? */ 251 if (ilu->nonzerosalongdiagonal) { 252 ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); 253 } 254 } 255 ierr = MatDestroy(((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 256 ierr = MatGetFactor(pc->pmat,MAT_SOLVER_PETSC,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 257 ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 258 ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); 259 ilu->actualfill = info.fill_ratio_needed; 260 ierr = PetscLogObjectParent(pc,((PC_Factor*)ilu)->fact);CHKERRQ(ierr); 261 } 262 CHKMEMQ; 263 ierr = MatLUFactorNumeric(((PC_Factor*)ilu)->fact,pc->pmat,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 264 CHKMEMQ; 265 } 266 PetscFunctionReturn(0); 267 } 268 269 #undef __FUNCT__ 270 #define __FUNCT__ "PCDestroy_ILU" 271 static PetscErrorCode PCDestroy_ILU(PC pc) 272 { 273 PC_ILU *ilu = (PC_ILU*)pc->data; 274 PetscErrorCode ierr; 275 276 PetscFunctionBegin; 277 ierr = PCDestroy_ILU_Internal(pc);CHKERRQ(ierr); 278 ierr = PetscStrfree(((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); 279 ierr = PetscStrfree(((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 280 ierr = PetscFree(ilu);CHKERRQ(ierr); 281 PetscFunctionReturn(0); 282 } 283 284 #undef __FUNCT__ 285 #define __FUNCT__ "PCApply_ILU" 286 static PetscErrorCode PCApply_ILU(PC pc,Vec x,Vec y) 287 { 288 PC_ILU *ilu = (PC_ILU*)pc->data; 289 PetscErrorCode ierr; 290 291 PetscFunctionBegin; 292 ierr = MatSolve(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 293 PetscFunctionReturn(0); 294 } 295 296 #undef __FUNCT__ 297 #define __FUNCT__ "PCApplyTranspose_ILU" 298 static PetscErrorCode PCApplyTranspose_ILU(PC pc,Vec x,Vec y) 299 { 300 PC_ILU *ilu = (PC_ILU*)pc->data; 301 PetscErrorCode ierr; 302 303 PetscFunctionBegin; 304 ierr = MatSolveTranspose(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); 305 PetscFunctionReturn(0); 306 } 307 308 /*MC 309 PCILU - Incomplete factorization preconditioners. 310 311 Options Database Keys: 312 + -pc_factor_levels <k> - number of levels of fill for ILU(k) 313 . -pc_factor_in_place - only for ILU(0) with natural ordering, reuses the space of the matrix for 314 its factorization (overwrites original matrix) 315 . -pc_factor_diagonal_fill - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill 316 . -pc_factor_reuse_ordering - reuse ordering of factorized matrix from previous factorization 317 . -pc_factor_drop_tolerance <dt,dtcol,maxrowcount> - use drop tolerance factorization 318 . -pc_factor_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1 319 . -pc_factor_nonzeros_along_diagonal - reorder the matrix before factorization to remove zeros from the diagonal, 320 this decreases the chance of getting a zero pivot 321 . -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix 322 . -pc_factor_pivot_in_blocks - for block ILU(k) factorization, i.e. with BAIJ matrices with block size larger 323 than 1 the diagonal blocks are factored with partial pivoting (this increases the 324 stability of the ILU factorization 325 326 Level: beginner 327 328 Concepts: incomplete factorization 329 330 Notes: Only implemented for some matrix formats. (for parallel see PCHYPRE for hypre's ILU) 331 332 For BAIJ matrices this implements a point block ILU 333 334 References: 335 T. Dupont, R. Kendall, and H. Rachford. An approximate factorization procedure for solving 336 self-adjoint elliptic difference equations. SIAM J. Numer. Anal., 5:559--573, 1968. 337 338 T.A. Oliphant. An implicit numerical method for solving two-dimensional time-dependent dif- 339 fusion problems. Quart. Appl. Math., 19:221--229, 1961. 340 341 Review article: APPROXIMATE AND INCOMPLETE FACTORIZATIONS, TONY F. CHAN AND HENK A. VAN DER VORST 342 http://igitur-archive.library.uu.nl/math/2001-0621-115821/proc.pdf chapter in Parallel Numerical 343 Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in 344 Science and Engineering, Kluwer, pp. 167--202. 345 346 347 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType, 348 PCFactorSetZeroPivot(), PCFactorSetShiftSetType(), PCFactorSetAmount(), 349 PCFactorSetDropTolerance(),PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(), 350 PCFactorSetLevels(), PCFactorSetUseInPlace(), PCFactorSetAllowDiagonalFill(), PCFactorSetPivotInBlocks() 351 352 M*/ 353 354 EXTERN_C_BEGIN 355 #undef __FUNCT__ 356 #define __FUNCT__ "PCCreate_ILU" 357 PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_ILU(PC pc) 358 { 359 PetscErrorCode ierr; 360 PC_ILU *ilu; 361 362 PetscFunctionBegin; 363 ierr = PetscNewLog(pc,PC_ILU,&ilu);CHKERRQ(ierr); 364 365 ((PC_Factor*)ilu)->fact = 0; 366 ierr = MatFactorInfoInitialize(&((PC_Factor*)ilu)->info);CHKERRQ(ierr); 367 ((PC_Factor*)ilu)->info.levels = 0.; 368 ((PC_Factor*)ilu)->info.fill = 1.0; 369 ilu->col = 0; 370 ilu->row = 0; 371 ilu->inplace = PETSC_FALSE; 372 ierr = PetscStrallocpy(MAT_SOLVER_PETSC,&((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); 373 ierr = PetscStrallocpy(MATORDERING_NATURAL,&((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); 374 ilu->reuseordering = PETSC_FALSE; 375 ((PC_Factor*)ilu)->info.dt = PETSC_DEFAULT; 376 ((PC_Factor*)ilu)->info.dtcount = PETSC_DEFAULT; 377 ((PC_Factor*)ilu)->info.dtcol = PETSC_DEFAULT; 378 ((PC_Factor*)ilu)->info.shifttype = MAT_SHIFT_NONZERO; 379 ((PC_Factor*)ilu)->info.shiftamount = 1.e-12; 380 ((PC_Factor*)ilu)->info.zeropivot = 1.e-12; 381 ((PC_Factor*)ilu)->info.pivotinblocks = 1.0; 382 ilu->reusefill = PETSC_FALSE; 383 ((PC_Factor*)ilu)->info.diagonal_fill = 0.; 384 pc->data = (void*)ilu; 385 386 pc->ops->destroy = PCDestroy_ILU; 387 pc->ops->apply = PCApply_ILU; 388 pc->ops->applytranspose = PCApplyTranspose_ILU; 389 pc->ops->setup = PCSetUp_ILU; 390 pc->ops->setfromoptions = PCSetFromOptions_ILU; 391 pc->ops->getfactoredmatrix = PCFactorGetMatrix_Factor; 392 pc->ops->view = PCView_ILU; 393 pc->ops->applyrichardson = 0; 394 395 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetZeroPivot_C","PCFactorSetZeroPivot_Factor", 396 PCFactorSetZeroPivot_Factor);CHKERRQ(ierr); 397 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftType_C","PCFactorSetShiftType_Factor", 398 PCFactorSetShiftType_Factor);CHKERRQ(ierr); 399 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetShiftAmount_C","PCFactorSetShiftAmount_Factor", 400 PCFactorSetShiftAmount_Factor);CHKERRQ(ierr); 401 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorGetMatSolverPackage_C","PCFactorGetMatSolverPackage_Factor", 402 PCFactorGetMatSolverPackage_Factor);CHKERRQ(ierr); 403 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetMatSolverPackage_C","PCFactorSetMatSolverPackage_Factor", 404 PCFactorSetMatSolverPackage_Factor);CHKERRQ(ierr); 405 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetDropTolerance_C","PCFactorSetDropTolerance_ILU", 406 PCFactorSetDropTolerance_ILU);CHKERRQ(ierr); 407 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetFill_C","PCFactorSetFill_Factor", 408 PCFactorSetFill_Factor);CHKERRQ(ierr); 409 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetMatOrderingType_C","PCFactorSetMatOrderingType_Factor", 410 PCFactorSetMatOrderingType_Factor);CHKERRQ(ierr); 411 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetReuseOrdering_C","PCFactorSetReuseOrdering_ILU", 412 PCFactorSetReuseOrdering_ILU);CHKERRQ(ierr); 413 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetReuseFill_C","PCFactorSetReuseFill_ILU", 414 PCFactorSetReuseFill_ILU);CHKERRQ(ierr); 415 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetLevels_C","PCFactorSetLevels_Factor", 416 PCFactorSetLevels_Factor);CHKERRQ(ierr); 417 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetUseInPlace_C","PCFactorSetUseInPlace_ILU", 418 PCFactorSetUseInPlace_ILU);CHKERRQ(ierr); 419 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetAllowDiagonalFill_C","PCFactorSetAllowDiagonalFill_Factor", 420 PCFactorSetAllowDiagonalFill_Factor);CHKERRQ(ierr); 421 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorSetPivotInBlocks_C","PCFactorSetPivotInBlocks_Factor", 422 PCFactorSetPivotInBlocks_Factor);CHKERRQ(ierr); 423 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C","PCFactorReorderForNonzeroDiagonal_ILU", 424 PCFactorReorderForNonzeroDiagonal_ILU);CHKERRQ(ierr); 425 PetscFunctionReturn(0); 426 } 427 EXTERN_C_END 428