xref: /petsc/src/ksp/pc/impls/factor/lu/lu.c (revision ebead697dbf761eb322f829370bbe90b3bd93fa3)
1 
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 */
7 
8 #include <../src/ksp/pc/impls/factor/lu/lu.h>  /*I "petscpc.h" I*/
9 
10 PetscErrorCode PCFactorReorderForNonzeroDiagonal_LU(PC pc,PetscReal z)
11 {
12   PC_LU *lu = (PC_LU*)pc->data;
13 
14   PetscFunctionBegin;
15   lu->nonzerosalongdiagonal = PETSC_TRUE;
16   if (z == PETSC_DECIDE) lu->nonzerosalongdiagonaltol = 1.e-10;
17   else lu->nonzerosalongdiagonaltol = z;
18   PetscFunctionReturn(0);
19 }
20 
21 static PetscErrorCode PCSetFromOptions_LU(PetscOptionItems *PetscOptionsObject,PC pc)
22 {
23   PC_LU          *lu = (PC_LU*)pc->data;
24   PetscBool      flg = PETSC_FALSE;
25   PetscReal      tol;
26 
27   PetscFunctionBegin;
28   PetscOptionsHeadBegin(PetscOptionsObject,"LU options");
29   PetscCall(PCSetFromOptions_Factor(PetscOptionsObject,pc));
30 
31   PetscCall(PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg));
32   if (flg) {
33     tol  = PETSC_DECIDE;
34     PetscCall(PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",lu->nonzerosalongdiagonaltol,&tol,NULL));
35     PetscCall(PCFactorReorderForNonzeroDiagonal(pc,tol));
36   }
37   PetscOptionsHeadEnd();
38   PetscFunctionReturn(0);
39 }
40 
41 static PetscErrorCode PCSetUp_LU(PC pc)
42 {
43   PC_LU                  *dir = (PC_LU*)pc->data;
44   MatSolverType          stype;
45   MatFactorError         err;
46   const char             *prefix;
47 
48   PetscFunctionBegin;
49   pc->failedreason = PC_NOERROR;
50   if (dir->hdr.reusefill && pc->setupcalled) ((PC_Factor*)dir)->info.fill = dir->hdr.actualfill;
51 
52   PetscCall(PCGetOptionsPrefix(pc,&prefix));
53   PetscCall(MatSetOptionsPrefixFactor(pc->pmat,prefix));
54 
55   PetscCall(MatSetErrorIfFailure(pc->pmat,pc->erroriffailure));
56   if (dir->hdr.inplace) {
57     MatFactorType ftype;
58 
59     PetscCall(MatGetFactorType(pc->pmat, &ftype));
60     if (ftype == MAT_FACTOR_NONE) {
61       if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
62       PetscCall(ISDestroy(&dir->col));
63       /* This should only get the ordering if needed, but since MatGetFactor() is not called we can't know if it is needed */
64       PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
65       PetscCall(MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col));
66       if (dir->row) {
67         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row));
68         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col));
69       }
70       PetscCall(MatLUFactor(pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info));
71       PetscCall(MatFactorGetError(pc->pmat,&err));
72       if (err) { /* Factor() fails */
73         pc->failedreason = (PCFailedReason)err;
74         PetscFunctionReturn(0);
75       }
76     }
77     ((PC_Factor*)dir)->fact = pc->pmat;
78   } else {
79     MatInfo info;
80 
81     if (!pc->setupcalled) {
82       PetscBool canuseordering;
83       if (!((PC_Factor*)dir)->fact) {
84         PetscCall(MatGetFactor(pc->pmat,((PC_Factor*)dir)->solvertype,MAT_FACTOR_LU,&((PC_Factor*)dir)->fact));
85         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)dir)->fact));
86       }
87       PetscCall(MatFactorGetCanUseOrdering(((PC_Factor*)dir)->fact,&canuseordering));
88       if (canuseordering) {
89         PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
90         PetscCall(MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col));
91         if (dir->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat,dir->nonzerosalongdiagonaltol,dir->row,dir->col));
92         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row));
93         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col));
94       }
95       PetscCall(MatLUFactorSymbolic(((PC_Factor*)dir)->fact,pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info));
96       PetscCall(MatGetInfo(((PC_Factor*)dir)->fact,MAT_LOCAL,&info));
97       dir->hdr.actualfill = info.fill_ratio_needed;
98     } else if (pc->flag != SAME_NONZERO_PATTERN) {
99       PetscBool canuseordering;
100       if (!dir->hdr.reuseordering) {
101         PetscCall(MatDestroy(&((PC_Factor*)dir)->fact));
102         PetscCall(MatGetFactor(pc->pmat,((PC_Factor*)dir)->solvertype,MAT_FACTOR_LU,&((PC_Factor*)dir)->fact));
103         PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)dir)->fact));
104         PetscCall(MatFactorGetCanUseOrdering(((PC_Factor*)dir)->fact,&canuseordering));
105         if (canuseordering) {
106           if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
107           PetscCall(ISDestroy(&dir->col));
108           PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
109           PetscCall(MatGetOrdering(pc->pmat,((PC_Factor*)dir)->ordering,&dir->row,&dir->col));
110           if (dir->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat,dir->nonzerosalongdiagonaltol,dir->row,dir->col));
111           PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->row));
112           PetscCall(PetscLogObjectParent((PetscObject)pc,(PetscObject)dir->col));
113         }
114       }
115       PetscCall(MatLUFactorSymbolic(((PC_Factor*)dir)->fact,pc->pmat,dir->row,dir->col,&((PC_Factor*)dir)->info));
116       PetscCall(MatGetInfo(((PC_Factor*)dir)->fact,MAT_LOCAL,&info));
117       dir->hdr.actualfill = info.fill_ratio_needed;
118     } else {
119       PetscCall(MatFactorGetError(((PC_Factor*)dir)->fact,&err));
120       if (err == MAT_FACTOR_NUMERIC_ZEROPIVOT) {
121         PetscCall(MatFactorClearError(((PC_Factor*)dir)->fact));
122         pc->failedreason = PC_NOERROR;
123       }
124     }
125     PetscCall(MatFactorGetError(((PC_Factor*)dir)->fact,&err));
126     if (err) { /* FactorSymbolic() fails */
127       pc->failedreason = (PCFailedReason)err;
128       PetscFunctionReturn(0);
129     }
130 
131     PetscCall(MatLUFactorNumeric(((PC_Factor*)dir)->fact,pc->pmat,&((PC_Factor*)dir)->info));
132     PetscCall(MatFactorGetError(((PC_Factor*)dir)->fact,&err));
133     if (err) { /* FactorNumeric() fails */
134       pc->failedreason = (PCFailedReason)err;
135     }
136 
137   }
138 
139   PetscCall(PCFactorGetMatSolverType(pc,&stype));
140   if (!stype) {
141     MatSolverType solverpackage;
142     PetscCall(MatFactorGetSolverType(((PC_Factor*)dir)->fact,&solverpackage));
143     PetscCall(PCFactorSetMatSolverType(pc,solverpackage));
144   }
145   PetscFunctionReturn(0);
146 }
147 
148 static PetscErrorCode PCReset_LU(PC pc)
149 {
150   PC_LU          *dir = (PC_LU*)pc->data;
151 
152   PetscFunctionBegin;
153   if (!dir->hdr.inplace && ((PC_Factor*)dir)->fact) PetscCall(MatDestroy(&((PC_Factor*)dir)->fact));
154   if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
155   PetscCall(ISDestroy(&dir->col));
156   PetscFunctionReturn(0);
157 }
158 
159 static PetscErrorCode PCDestroy_LU(PC pc)
160 {
161   PC_LU          *dir = (PC_LU*)pc->data;
162 
163   PetscFunctionBegin;
164   PetscCall(PCReset_LU(pc));
165   PetscCall(PetscFree(((PC_Factor*)dir)->ordering));
166   PetscCall(PetscFree(((PC_Factor*)dir)->solvertype));
167   PetscCall(PCFactorClearComposedFunctions(pc));
168   PetscCall(PetscFree(pc->data));
169   PetscFunctionReturn(0);
170 }
171 
172 static PetscErrorCode PCApply_LU(PC pc,Vec x,Vec y)
173 {
174   PC_LU          *dir = (PC_LU*)pc->data;
175 
176   PetscFunctionBegin;
177   if (dir->hdr.inplace) {
178     PetscCall(MatSolve(pc->pmat,x,y));
179   } else {
180     PetscCall(MatSolve(((PC_Factor*)dir)->fact,x,y));
181   }
182   PetscFunctionReturn(0);
183 }
184 
185 static PetscErrorCode PCMatApply_LU(PC pc,Mat X,Mat Y)
186 {
187   PC_LU          *dir = (PC_LU*)pc->data;
188 
189   PetscFunctionBegin;
190   if (dir->hdr.inplace) {
191     PetscCall(MatMatSolve(pc->pmat,X,Y));
192   } else {
193     PetscCall(MatMatSolve(((PC_Factor*)dir)->fact,X,Y));
194   }
195   PetscFunctionReturn(0);
196 }
197 
198 static PetscErrorCode PCApplyTranspose_LU(PC pc,Vec x,Vec y)
199 {
200   PC_LU          *dir = (PC_LU*)pc->data;
201 
202   PetscFunctionBegin;
203   if (dir->hdr.inplace) {
204     PetscCall(MatSolveTranspose(pc->pmat,x,y));
205   } else {
206     PetscCall(MatSolveTranspose(((PC_Factor*)dir)->fact,x,y));
207   }
208   PetscFunctionReturn(0);
209 }
210 
211 /* -----------------------------------------------------------------------------------*/
212 
213 /*MC
214    PCLU - Uses a direct solver, based on LU factorization, as a preconditioner
215 
216    Options Database Keys:
217 +  -pc_factor_reuse_ordering - Activate PCFactorSetReuseOrdering()
218 .  -pc_factor_mat_solver_type - Actives PCFactorSetMatSolverType() to choose the direct solver, like superlu
219 .  -pc_factor_reuse_fill - Activates PCFactorSetReuseFill()
220 .  -pc_factor_fill <fill> - Sets fill amount
221 .  -pc_factor_in_place - Activates in-place factorization
222 .  -pc_factor_mat_ordering_type <nd,rcm,...> - Sets ordering routine
223 .  -pc_factor_pivot_in_blocks <true,false> - allow pivoting within the small blocks during factorization (may increase
224                                          stability of factorization.
225 .  -pc_factor_shift_type <shifttype> - Sets shift type or PETSC_DECIDE for the default; use '-help' for a list of available types
226 .  -pc_factor_shift_amount <shiftamount> - Sets shift amount or PETSC_DECIDE for the default
227 .  -pc_factor_nonzeros_along_diagonal - permutes the rows and columns to try to put nonzero value along the diagonal.
228 -  -mat_solvertype_optionname - options for a specific solver package, for example -mat_mumps_cntl_1
229 
230    Notes:
231     Not all options work for all matrix formats
232           Run with -help to see additional options for particular matrix formats or factorization
233           algorithms
234 
235    Level: beginner
236 
237    Notes:
238     Usually this will compute an "exact" solution in one iteration and does
239           not need a Krylov method (i.e. you can use -ksp_type preonly, or
240           KSPSetType(ksp,KSPPREONLY) for the Krylov method
241 
242 .seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PC`,
243           `PCILU`, `PCCHOLESKY`, `PCICC`, `PCFactorSetReuseOrdering()`, `PCFactorSetReuseFill()`, `PCFactorGetMatrix()`,
244           `PCFactorSetFill()`, `PCFactorSetUseInPlace()`, `PCFactorSetMatOrderingType()`, `PCFactorSetColumnPivot()`,
245           `PCFactorSetPivotInBlocks()`, `PCFactorSetShiftType()`, `PCFactorSetShiftAmount()`
246           `PCFactorReorderForNonzeroDiagonal()`
247 M*/
248 
249 PETSC_EXTERN PetscErrorCode PCCreate_LU(PC pc)
250 {
251   PC_LU          *dir;
252 
253   PetscFunctionBegin;
254   PetscCall(PetscNewLog(pc,&dir));
255   pc->data = (void*)dir;
256   PetscCall(PCFactorInitialize(pc,MAT_FACTOR_LU));
257   dir->nonzerosalongdiagonal    = PETSC_FALSE;
258 
259   ((PC_Factor*)dir)->info.fill          = 5.0;
260   ((PC_Factor*)dir)->info.dtcol         = 1.e-6;  /* default to pivoting; this is only thing PETSc LU supports */
261   ((PC_Factor*)dir)->info.shifttype     = (PetscReal)MAT_SHIFT_NONE;
262   dir->col                              = NULL;
263   dir->row                              = NULL;
264 
265   pc->ops->reset             = PCReset_LU;
266   pc->ops->destroy           = PCDestroy_LU;
267   pc->ops->apply             = PCApply_LU;
268   pc->ops->matapply          = PCMatApply_LU;
269   pc->ops->applytranspose    = PCApplyTranspose_LU;
270   pc->ops->setup             = PCSetUp_LU;
271   pc->ops->setfromoptions    = PCSetFromOptions_LU;
272   pc->ops->view              = PCView_Factor;
273   pc->ops->applyrichardson   = NULL;
274   PetscCall(PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_LU));
275   PetscFunctionReturn(0);
276 }
277