Actual source code: lu.c

petsc-master 2017-05-24
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  2: /*
  3:    Defines a direct factorization preconditioner for any Mat implementation
  4:    Note: this need not be consided a preconditioner since it supplies
  5:          a direct solver.
  6: */

  8:  #include <../src/ksp/pc/impls/factor/lu/lu.h>


 11: PetscErrorCode PCFactorReorderForNonzeroDiagonal_LU(PC pc,PetscReal z)
 12: {
 13:   PC_LU *lu = (PC_LU*)pc->data;

 16:   lu->nonzerosalongdiagonal = PETSC_TRUE;
 17:   if (z == PETSC_DECIDE) lu->nonzerosalongdiagonaltol = 1.e-10;
 18:   else lu->nonzerosalongdiagonaltol = z;
 19:   return(0);
 20: }

 22: static PetscErrorCode PCSetFromOptions_LU(PetscOptionItems *PetscOptionsObject,PC pc)
 23: {
 24:   PC_LU          *lu = (PC_LU*)pc->data;
 26:   PetscBool      flg = PETSC_FALSE;
 27:   PetscReal      tol;

 30:   PetscOptionsHead(PetscOptionsObject,"LU options");
 31:   PCSetFromOptions_Factor(PetscOptionsObject,pc);

 33:   PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);
 34:   if (flg) {
 35:     tol  = PETSC_DECIDE;
 36:     PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",lu->nonzerosalongdiagonaltol,&tol,0);
 37:     PCFactorReorderForNonzeroDiagonal(pc,tol);
 38:   }
 39:   PetscOptionsTail();
 40:   return(0);
 41: }

 43: static PetscErrorCode PCView_LU(PC pc,PetscViewer viewer)
 44: {

 48:   PCView_Factor(pc,viewer);
 49:   return(0);
 50: }

 52: static PetscErrorCode PCSetUp_LU(PC pc)
 53: {
 54:   PetscErrorCode         ierr;
 55:   PC_LU                  *dir = (PC_LU*)pc->data;
 56:   const MatSolverPackage stype;
 57:   MatFactorError         err;

 60:   pc->failedreason = PC_NOERROR;
 61:   if (dir->hdr.reusefill && pc->setupcalled) ((PC_Factor*)dir)->info.fill = dir->hdr.actualfill;

 63:   MatSetErrorIfFailure(pc->pmat,pc->erroriffailure);
 64:   if (dir->hdr.inplace) {
 65:     if (dir->row && dir->col && dir->row != dir->col) {ISDestroy(&dir->row);}
 66:     ISDestroy(&dir->col);
 67:     MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col);
 68:     if (dir->row) {
 69:       PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row);
 70:       PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col);
 71:     }
 72:     MatLUFactor(pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info);
 73:     MatFactorGetError(pc->pmat,&err);
 74:     if (err) { /* Factor() fails */
 75:       pc->failedreason = (PCFailedReason)err;
 76:       return(0);
 77:     }

 79:     ((PC_Factor*)dir)->fact = pc->pmat;
 80:   } else {
 81:     MatInfo info;

 83:     if (!pc->setupcalled) {
 84:       MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col);
 85:       if (dir->nonzerosalongdiagonal) {
 86:         MatReorderForNonzeroDiagonal(pc->pmat,dir->nonzerosalongdiagonaltol,dir->row,dir->col);
 87:       }
 88:       if (dir->row) {
 89:         PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row);
 90:         PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col);
 91:       }
 92:       if (!((PC_Factor*)dir)->fact) {
 93:         MatGetFactor(pc->pmat,((PC_Factor*)dir)->solvertype,MAT_FACTOR_LU,&((PC_Factor*)dir)->fact);
 94:       }
 95:       MatLUFactorSymbolic(((PC_Factor*)dir)->fact,pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info);
 96:       MatGetInfo(((PC_Factor*)dir)->fact,MAT_LOCAL,&info);
 97:       dir->hdr.actualfill = info.fill_ratio_needed;
 98:       PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)dir)->fact);
 99:     } else if (pc->flag != SAME_NONZERO_PATTERN) {
100:       if (!dir->hdr.reuseordering) {
101:         if (dir->row && dir->col && dir->row != dir->col) {ISDestroy(&dir->row);}
102:         ISDestroy(&dir->col);
103:         MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col);
104:         if (dir->nonzerosalongdiagonal) {
105:           MatReorderForNonzeroDiagonal(pc->pmat,dir->nonzerosalongdiagonaltol,dir->row,dir->col);
106:         }
107:         if (dir->row) {
108:           PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row);
109:           PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col);
110:         }
111:       }
112:       MatDestroy(&((PC_Factor*)dir)->fact);
113:       MatGetFactor(pc->pmat,((PC_Factor*)dir)->solvertype,MAT_FACTOR_LU,&((PC_Factor*)dir)->fact);
114:       MatLUFactorSymbolic(((PC_Factor*)dir)->fact,pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info);
115:       MatGetInfo(((PC_Factor*)dir)->fact,MAT_LOCAL,&info);
116:       dir->hdr.actualfill = info.fill_ratio_needed;
117:       PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)dir)->fact);
118:     } else {
119:       MatFactorGetError(((PC_Factor*)dir)->fact,&err);
120:       if (err == MAT_FACTOR_NUMERIC_ZEROPIVOT) {
121:         MatFactorClearError(((PC_Factor*)dir)->fact);
122:         pc->failedreason = PC_NOERROR;
123:       }
124:     }
125:     MatFactorGetError(((PC_Factor*)dir)->fact,&err);
126:     if (err) { /* FactorSymbolic() fails */
127:       pc->failedreason = (PCFailedReason)err;
128:       return(0);
129:     }

131:     MatLUFactorNumeric(((PC_Factor*)dir)->fact,pc->pmat,&((PC_Factor*)dir)->info);
132:     MatFactorGetError(((PC_Factor*)dir)->fact,&err);
133:     if (err) { /* FactorNumeric() fails */
134:       pc->failedreason = (PCFailedReason)err;
135:     }

137:   }

139:   PCFactorGetMatSolverPackage(pc,&stype);
140:   if (!stype) {
141:     const MatSolverPackage solverpackage;
142:     MatFactorGetSolverPackage(((PC_Factor*)dir)->fact,&solverpackage);
143:     PCFactorSetMatSolverPackage(pc,solverpackage);
144:   }
145:   return(0);
146: }

148: static PetscErrorCode PCReset_LU(PC pc)
149: {
150:   PC_LU          *dir = (PC_LU*)pc->data;

154:   if (!dir->hdr.inplace && ((PC_Factor*)dir)->fact) {MatDestroy(&((PC_Factor*)dir)->fact);}
155:   if (dir->row && dir->col && dir->row != dir->col) {ISDestroy(&dir->row);}
156:   ISDestroy(&dir->col);
157:   return(0);
158: }

160: static PetscErrorCode PCDestroy_LU(PC pc)
161: {
162:   PC_LU          *dir = (PC_LU*)pc->data;

166:   PCReset_LU(pc);
167:   PetscFree(((PC_Factor*)dir)->ordering);
168:   PetscFree(((PC_Factor*)dir)->solvertype);
169:   PetscFree(pc->data);
170:   return(0);
171: }

173: static PetscErrorCode PCApply_LU(PC pc,Vec x,Vec y)
174: {
175:   PC_LU          *dir = (PC_LU*)pc->data;

179:   if (dir->hdr.inplace) {
180:     MatSolve(pc->pmat,x,y);
181:   } else {
182:     MatSolve(((PC_Factor*)dir)->fact,x,y);
183:   }
184:   return(0);
185: }

187: static PetscErrorCode PCApplyTranspose_LU(PC pc,Vec x,Vec y)
188: {
189:   PC_LU          *dir = (PC_LU*)pc->data;

193:   if (dir->hdr.inplace) {
194:     MatSolveTranspose(pc->pmat,x,y);
195:   } else {
196:     MatSolveTranspose(((PC_Factor*)dir)->fact,x,y);
197:   }
198:   return(0);
199: }

201: /* -----------------------------------------------------------------------------------*/

203: /*MC
204:    PCLU - Uses a direct solver, based on LU factorization, as a preconditioner

206:    Options Database Keys:
207: +  -pc_factor_reuse_ordering - Activate PCFactorSetReuseOrdering()
208: .  -pc_factor_mat_solver_package - Actives PCFactorSetMatSolverPackage() to choose the direct solver, like superlu
209: .  -pc_factor_reuse_fill - Activates PCFactorSetReuseFill()
210: .  -pc_factor_fill <fill> - Sets fill amount
211: .  -pc_factor_in_place - Activates in-place factorization
212: .  -pc_factor_mat_ordering_type <nd,rcm,...> - Sets ordering routine
213: .  -pc_factor_pivot_in_blocks <true,false> - allow pivoting within the small blocks during factorization (may increase
214:                                          stability of factorization.
215: .  -pc_factor_shift_type <shifttype> - Sets shift type or PETSC_DECIDE for the default; use '-help' for a list of available types
216: .  -pc_factor_shift_amount <shiftamount> - Sets shift amount or PETSC_DECIDE for the default
217: -   -pc_factor_nonzeros_along_diagonal - permutes the rows and columns to try to put nonzero value along the
218:         diagonal.

220:    Notes: Not all options work for all matrix formats
221:           Run with -help to see additional options for particular matrix formats or factorization
222:           algorithms

224:    Level: beginner

226:    Concepts: LU factorization, direct solver

228:    Notes: Usually this will compute an "exact" solution in one iteration and does
229:           not need a Krylov method (i.e. you can use -ksp_type preonly, or
230:           KSPSetType(ksp,KSPPREONLY) for the Krylov method

232: .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
233:            PCILU, PCCHOLESKY, PCICC, PCFactorSetReuseOrdering(), PCFactorSetReuseFill(), PCFactorGetMatrix(),
234:            PCFactorSetFill(), PCFactorSetUseInPlace(), PCFactorSetMatOrderingType(), PCFactorSetColumnPivot(),
235:            PCFactorSetPivotingInBlocks(),PCFactorSetShiftType(),PCFactorSetShiftAmount()
236:            PCFactorReorderForNonzeroDiagonal()
237: M*/

239: PETSC_EXTERN PetscErrorCode PCCreate_LU(PC pc)
240: {
242:   PetscMPIInt    size;
243:   PC_LU          *dir;

246:   PetscNewLog(pc,&dir);
247:   pc->data = (void*)dir;
248:   PCFactorInitialize(pc);
249:   ((PC_Factor*)dir)->factortype = MAT_FACTOR_LU;
250:   dir->nonzerosalongdiagonal    = PETSC_FALSE;

252:   ((PC_Factor*)dir)->info.fill          = 5.0;
253:   ((PC_Factor*)dir)->info.dtcol         = 1.e-6;  /* default to pivoting; this is only thing PETSc LU supports */
254:   ((PC_Factor*)dir)->info.shifttype     = (PetscReal)MAT_SHIFT_NONE;
255:   dir->col                              = 0;
256:   dir->row                              = 0;

258:   MPI_Comm_size(PetscObjectComm((PetscObject)pc),&size);
259:   if (size == 1) {
260:     PetscStrallocpy(MATORDERINGND,(char**)&((PC_Factor*)dir)->ordering);
261:   } else {
262:     PetscStrallocpy(MATORDERINGNATURAL,(char**)&((PC_Factor*)dir)->ordering);
263:   }

265:   pc->ops->reset             = PCReset_LU;
266:   pc->ops->destroy           = PCDestroy_LU;
267:   pc->ops->apply             = PCApply_LU;
268:   pc->ops->applytranspose    = PCApplyTranspose_LU;
269:   pc->ops->setup             = PCSetUp_LU;
270:   pc->ops->setfromoptions    = PCSetFromOptions_LU;
271:   pc->ops->view              = PCView_LU;
272:   pc->ops->applyrichardson   = 0;
273:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_LU);
274:   return(0);
275: }