Date: 2016-07-24T17:04:29+00:00

Actual source code: factimpl.c
petsc-3.7.3 2016-07-24
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      2: #include <../src/ksp/pc/impls/factor/factor.h>     /*I "petscpc.h"  I*/

      4: /* ------------------------------------------------------------------------------------------*/

      9: PetscErrorCode PCFactorSetUpMatSolverPackage_Factor(PC pc)
     10: {
     11:   PC_Factor      *icc = (PC_Factor*)pc->data;

     15:   if (!pc->pmat) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"You can only call this routine after the matrix object has been provided to the solver, for example with KSPSetOperators() or SNESSetJacobian()");
     16:   if (!pc->setupcalled && !((PC_Factor*)icc)->fact) {
     17:     MatGetFactor(pc->pmat,((PC_Factor*)icc)->solvertype,((PC_Factor*)icc)->factortype,&((PC_Factor*)icc)->fact);
     18:   }
     19:   return(0);
     20: }

     24: PetscErrorCode  PCFactorSetZeroPivot_Factor(PC pc,PetscReal z)
     25: {
     26:   PC_Factor *ilu = (PC_Factor*)pc->data;

     29:   ilu->info.zeropivot = z;
     30:   return(0);
     31: }

     35: PetscErrorCode  PCFactorSetShiftType_Factor(PC pc,MatFactorShiftType shifttype)
     36: {
     37:   PC_Factor *dir = (PC_Factor*)pc->data;

     40:   if (shifttype == (MatFactorShiftType)PETSC_DECIDE) dir->info.shifttype = (PetscReal) MAT_SHIFT_NONE;
     41:   else {
     42:     dir->info.shifttype = (PetscReal) shifttype;
     43:     if ((shifttype == MAT_SHIFT_NONZERO || shifttype ==  MAT_SHIFT_INBLOCKS) && dir->info.shiftamount == 0.0) {
     44:       dir->info.shiftamount = 100.0*PETSC_MACHINE_EPSILON; /* set default amount if user has not called PCFactorSetShiftAmount() yet */
     45:     }
     46:   }
     47:   return(0);
     48: }

     52: PetscErrorCode  PCFactorSetShiftAmount_Factor(PC pc,PetscReal shiftamount)
     53: {
     54:   PC_Factor *dir = (PC_Factor*)pc->data;

     57:   if (shiftamount == (PetscReal) PETSC_DECIDE) dir->info.shiftamount = 100.0*PETSC_MACHINE_EPSILON;
     58:   else dir->info.shiftamount = shiftamount;
     59:   return(0);
     60: }

     64: PetscErrorCode  PCFactorSetDropTolerance_Factor(PC pc,PetscReal dt,PetscReal dtcol,PetscInt dtcount)
     65: {
     66:   PC_Factor *ilu = (PC_Factor*)pc->data;

     69:   if (pc->setupcalled && (!ilu->info.usedt || ((PC_Factor*)ilu)->info.dt != dt || ((PC_Factor*)ilu)->info.dtcol != dtcol || ((PC_Factor*)ilu)->info.dtcount != dtcount)) {
     70:     SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Cannot change tolerance after use");
     71:   }
     72:   ilu->info.usedt   = PETSC_TRUE;
     73:   ilu->info.dt      = dt;
     74:   ilu->info.dtcol   = dtcol;
     75:   ilu->info.dtcount = dtcount;
     76:   ilu->info.fill    = PETSC_DEFAULT;
     77:   return(0);
     78: }

     82: PetscErrorCode  PCFactorSetFill_Factor(PC pc,PetscReal fill)
     83: {
     84:   PC_Factor *dir = (PC_Factor*)pc->data;

     87:   dir->info.fill = fill;
     88:   return(0);
     89: }

     93: PetscErrorCode  PCFactorSetMatOrderingType_Factor(PC pc,MatOrderingType ordering)
     94: {
     95:   PC_Factor      *dir = (PC_Factor*)pc->data;
     97:   PetscBool      flg;

    100:   if (!pc->setupcalled) {
    101:     PetscFree(dir->ordering);
    102:     PetscStrallocpy(ordering,(char**)&dir->ordering);
    103:   } else {
    104:     PetscStrcmp(dir->ordering,ordering,&flg);
    105:     if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Cannot change ordering after use");
    106:   }
    107:   return(0);
    108: }

    112: PetscErrorCode  PCFactorGetLevels_Factor(PC pc,PetscInt *levels)
    113: {
    114:   PC_Factor      *ilu = (PC_Factor*)pc->data;

    117:   *levels = ilu->info.levels;
    118:   return(0);
    119: }

    123: PetscErrorCode  PCFactorSetLevels_Factor(PC pc,PetscInt levels)
    124: {
    125:   PC_Factor      *ilu = (PC_Factor*)pc->data;

    129:   if (!pc->setupcalled) ilu->info.levels = levels;
    130:   else if (ilu->info.levels != levels) {
    131:     (*pc->ops->reset)(pc); /* remove previous factored matrices */
    132:     pc->setupcalled  = 0; /* force a complete rebuild of preconditioner factored matrices */
    133:     ilu->info.levels = levels;
    134:   } else if (ilu->info.usedt) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Cannot change levels after use with ILUdt");
    135:   return(0);
    136: }

    140: PetscErrorCode  PCFactorSetAllowDiagonalFill_Factor(PC pc,PetscBool flg)
    141: {
    142:   PC_Factor *dir = (PC_Factor*)pc->data;

    145:   dir->info.diagonal_fill = (PetscReal) flg;
    146:   return(0);
    147: }

    151: PetscErrorCode  PCFactorGetAllowDiagonalFill_Factor(PC pc,PetscBool *flg)
    152: {
    153:   PC_Factor *dir = (PC_Factor*)pc->data;

    156:   *flg = dir->info.diagonal_fill ? PETSC_TRUE : PETSC_FALSE;
    157:   return(0);
    158: }

    160: /* ------------------------------------------------------------------------------------------*/

    164: PetscErrorCode  PCFactorSetPivotInBlocks_Factor(PC pc,PetscBool pivot)
    165: {
    166:   PC_Factor *dir = (PC_Factor*)pc->data;

    169:   dir->info.pivotinblocks = pivot ? 1.0 : 0.0;
    170:   return(0);
    171: }

    175: PetscErrorCode  PCFactorGetMatrix_Factor(PC pc,Mat *mat)
    176: {
    177:   PC_Factor *ilu = (PC_Factor*)pc->data;

    180:   if (!ilu->fact) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ORDER,"Matrix not yet factored; call after KSPSetUp() or PCSetUp()");
    181:   *mat = ilu->fact;
    182:   return(0);
    183: }

    187: PetscErrorCode  PCFactorSetMatSolverPackage_Factor(PC pc,const MatSolverPackage stype)
    188: {
    190:   PC_Factor      *lu = (PC_Factor*)pc->data;

    193:   if (lu->fact) {
    194:     const MatSolverPackage ltype;
    195:     PetscBool              flg;
    196:     MatFactorGetSolverPackage(lu->fact,&ltype);
    197:     PetscStrcmp(stype,ltype,&flg);
    198:     if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Cannot change solver matrix package after PC has been setup or used");
    199:   }
    200:
    201:   PetscFree(lu->solvertype);
    202:   PetscStrallocpy(stype,&lu->solvertype);
    203:   return(0);
    204: }

    208: PetscErrorCode  PCFactorGetMatSolverPackage_Factor(PC pc,const MatSolverPackage *stype)
    209: {
    210:   PC_Factor *lu = (PC_Factor*)pc->data;

    213:   *stype = lu->solvertype;
    214:   return(0);
    215: }

    219: PetscErrorCode  PCFactorSetColumnPivot_Factor(PC pc,PetscReal dtcol)
    220: {
    221:   PC_Factor *dir = (PC_Factor*)pc->data;

    224:   if (dtcol < 0.0 || dtcol > 1.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Column pivot tolerance is %g must be between 0 and 1",(double)dtcol);
    225:   dir->info.dtcol = dtcol;
    226:   return(0);
    227: }

    231: PetscErrorCode  PCSetFromOptions_Factor(PetscOptionItems *PetscOptionsObject,PC pc)
    232: {
    233:   PC_Factor         *factor = (PC_Factor*)pc->data;
    234:   PetscErrorCode    ierr;
    235:   PetscBool         flg,set;
    236:   char              tname[256], solvertype[64];
    237:   PetscFunctionList ordlist;
    238:   PetscEnum         etmp;
    239:   PetscBool         inplace;

    242:   PCFactorGetUseInPlace(pc,&inplace);
    243:   PetscOptionsBool("-pc_factor_in_place","Form factored matrix in the same memory as the matrix","PCFactorSetUseInPlace",inplace,&flg,&set);
    244:   if (set) {
    245:     PCFactorSetUseInPlace(pc,flg);
    246:   }
    247:   PetscOptionsReal("-pc_factor_fill","Expected non-zeros in factored matrix","PCFactorSetFill",((PC_Factor*)factor)->info.fill,&((PC_Factor*)factor)->info.fill,NULL);

    249:   PetscOptionsEnum("-pc_factor_shift_type","Type of shift to add to diagonal","PCFactorSetShiftType",MatFactorShiftTypes,(PetscEnum)(int)((PC_Factor*)factor)->info.shifttype,&etmp,&flg);
    250:   if (flg) {
    251:     PCFactorSetShiftType(pc,(MatFactorShiftType)etmp);
    252:   }
    253:   PetscOptionsReal("-pc_factor_shift_amount","Shift added to diagonal","PCFactorSetShiftAmount",((PC_Factor*)factor)->info.shiftamount,&((PC_Factor*)factor)->info.shiftamount,0);

    255:   PetscOptionsReal("-pc_factor_zeropivot","Pivot is considered zero if less than","PCFactorSetZeroPivot",((PC_Factor*)factor)->info.zeropivot,&((PC_Factor*)factor)->info.zeropivot,0);
    256:   PetscOptionsReal("-pc_factor_column_pivot","Column pivot tolerance (used only for some factorization)","PCFactorSetColumnPivot",((PC_Factor*)factor)->info.dtcol,&((PC_Factor*)factor)->info.dtcol,&flg);

    258:   PetscOptionsBool("-pc_factor_pivot_in_blocks","Pivot inside matrix dense blocks for BAIJ and SBAIJ","PCFactorSetPivotInBlocks",((PC_Factor*)factor)->info.pivotinblocks ? PETSC_TRUE : PETSC_FALSE,&flg,&set);
    259:   if (set) {
    260:     PCFactorSetPivotInBlocks(pc,flg);
    261:   }

    263:   PetscOptionsBool("-pc_factor_reuse_fill","Use fill from previous factorization","PCFactorSetReuseFill",PETSC_FALSE,&flg,&set);
    264:   if (set) {
    265:     PCFactorSetReuseFill(pc,flg);
    266:   }
    267:   PetscOptionsBool("-pc_factor_reuse_ordering","Reuse ordering from previous factorization","PCFactorSetReuseOrdering",PETSC_FALSE,&flg,&set);
    268:   if (set) {
    269:     PCFactorSetReuseOrdering(pc,flg);
    270:   }

    272:   MatGetOrderingList(&ordlist);
    273:   PetscOptionsFList("-pc_factor_mat_ordering_type","Reordering to reduce nonzeros in factored matrix","PCFactorSetMatOrderingType",ordlist,((PC_Factor*)factor)->ordering,tname,256,&flg);
    274:   if (flg) {
    275:     PCFactorSetMatOrderingType(pc,tname);
    276:   }

    278:   /* maybe should have MatGetSolverTypes(Mat,&list) like the ordering list */
    279:   PetscOptionsString("-pc_factor_mat_solver_package","Specific direct solver to use","MatGetFactor",((PC_Factor*)factor)->solvertype,solvertype,64,&flg);
    280:   if (flg) {
    281:     PCFactorSetMatSolverPackage(pc,solvertype);
    282:   }
    283:   return(0);
    284: }

    288: PetscErrorCode PCView_Factor(PC pc,PetscViewer viewer)
    289: {
    290:   PC_Factor      *factor = (PC_Factor*)pc->data;
    292:   PetscBool      isstring,iascii;

    295:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);
    296:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
    297:   if (iascii) {
    298:     if (factor->factortype == MAT_FACTOR_ILU || factor->factortype == MAT_FACTOR_ICC) {
    299:       if (factor->info.dt > 0) {
    300:         PetscViewerASCIIPrintf(viewer,"  drop tolerance %g\n",(double)factor->info.dt);
    301:         PetscViewerASCIIPrintf(viewer,"  max nonzeros per row %D\n",factor->info.dtcount);
    302:         PetscViewerASCIIPrintf(viewer,"  column permutation tolerance %g\n",(double)factor->info.dtcol);
    303:       } else if (factor->info.levels == 1) {
    304:         PetscViewerASCIIPrintf(viewer,"  %D level of fill\n",(PetscInt)factor->info.levels);
    305:       } else {
    306:         PetscViewerASCIIPrintf(viewer,"  %D levels of fill\n",(PetscInt)factor->info.levels);
    307:       }
    308:     }

    310:     PetscViewerASCIIPrintf(viewer,"  tolerance for zero pivot %g\n",(double)factor->info.zeropivot);
    311:     if (MatFactorShiftTypesDetail[(int)factor->info.shifttype]) { /* Only print when using a nontrivial shift */
    312:       PetscViewerASCIIPrintf(viewer,"  using %s [%s]\n",MatFactorShiftTypesDetail[(int)factor->info.shifttype],MatFactorShiftTypes[(int)factor->info.shifttype]);
    313:     }

    315:     PetscViewerASCIIPrintf(viewer,"  matrix ordering: %s\n",factor->ordering);

    317:     if (factor->fact) {
    318:       MatInfo info;
    319:       MatGetInfo(factor->fact,MAT_LOCAL,&info);
    320:       PetscViewerASCIIPrintf(viewer,"  factor fill ratio given %g, needed %g\n",(double)info.fill_ratio_given,(double)info.fill_ratio_needed);
    321:       PetscViewerASCIIPrintf(viewer,"    Factored matrix follows:\n");
    322:       PetscViewerASCIIPushTab(viewer);
    323:       PetscViewerASCIIPushTab(viewer);
    324:       PetscViewerASCIIPushTab(viewer);
    325:       PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO);
    326:       MatView(factor->fact,viewer);
    327:       PetscViewerPopFormat(viewer);
    328:       PetscViewerASCIIPopTab(viewer);
    329:       PetscViewerASCIIPopTab(viewer);
    330:       PetscViewerASCIIPopTab(viewer);
    331:     }

    333:   } else if (isstring) {
    334:     MatFactorType t;
    335:     MatGetFactorType(factor->fact,&t);
    336:     if (t == MAT_FACTOR_ILU || t == MAT_FACTOR_ICC) {
    337:       PetscViewerStringSPrintf(viewer," lvls=%D,order=%s",(PetscInt)factor->info.levels,factor->ordering);
    338:     }
    339:   }
    340:   return(0);
    341: }