xref: /petsc/src/ksp/pc/impls/factor/lu/lu.c (revision 98d129c30f3ee9fdddc40fdbc5a989b7be64f888)
1 /*
2    Defines a direct factorization preconditioner for any Mat implementation
3    Note: this need not be considered a preconditioner since it supplies
4          a direct solver.
5 */
6 
7 #include <../src/ksp/pc/impls/factor/lu/lu.h> /*I "petscpc.h" I*/
8 
9 static PetscErrorCode PCFactorReorderForNonzeroDiagonal_LU(PC pc, PetscReal z)
10 {
11   PC_LU *lu = (PC_LU *)pc->data;
12 
13   PetscFunctionBegin;
14   lu->nonzerosalongdiagonal = PETSC_TRUE;
15   if (z == (PetscReal)PETSC_DECIDE) lu->nonzerosalongdiagonaltol = 1.e-10;
16   else lu->nonzerosalongdiagonaltol = z;
17   PetscFunctionReturn(PETSC_SUCCESS);
18 }
19 
20 static PetscErrorCode PCSetFromOptions_LU(PC pc, PetscOptionItems *PetscOptionsObject)
21 {
22   PC_LU    *lu  = (PC_LU *)pc->data;
23   PetscBool flg = PETSC_FALSE;
24   PetscReal tol;
25 
26   PetscFunctionBegin;
27   PetscOptionsHeadBegin(PetscOptionsObject, "LU options");
28   PetscCall(PCSetFromOptions_Factor(pc, PetscOptionsObject));
29 
30   PetscCall(PetscOptionsName("-pc_factor_nonzeros_along_diagonal", "Reorder to remove zeros from diagonal", "PCFactorReorderForNonzeroDiagonal", &flg));
31   if (flg) {
32     tol = PETSC_DECIDE;
33     PetscCall(PetscOptionsReal("-pc_factor_nonzeros_along_diagonal", "Reorder to remove zeros from diagonal", "PCFactorReorderForNonzeroDiagonal", lu->nonzerosalongdiagonaltol, &tol, NULL));
34     PetscCall(PCFactorReorderForNonzeroDiagonal(pc, tol));
35   }
36   PetscOptionsHeadEnd();
37   PetscFunctionReturn(PETSC_SUCCESS);
38 }
39 
40 static PetscErrorCode PCSetUp_LU(PC pc)
41 {
42   PC_LU         *dir = (PC_LU *)pc->data;
43   MatSolverType  stype;
44   MatFactorError err;
45   const char    *prefix;
46 
47   PetscFunctionBegin;
48   pc->failedreason = PC_NOERROR;
49   if (dir->hdr.reusefill && pc->setupcalled) ((PC_Factor *)dir)->info.fill = dir->hdr.actualfill;
50 
51   PetscCall(PCGetOptionsPrefix(pc, &prefix));
52   PetscCall(MatSetOptionsPrefixFactor(pc->pmat, prefix));
53 
54   PetscCall(MatSetErrorIfFailure(pc->pmat, pc->erroriffailure));
55   if (dir->hdr.inplace) {
56     MatFactorType ftype;
57 
58     PetscCall(MatGetFactorType(pc->pmat, &ftype));
59     if (ftype == MAT_FACTOR_NONE) {
60       if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
61       PetscCall(ISDestroy(&dir->col));
62       /* This should only get the ordering if needed, but since MatGetFactor() is not called we can't know if it is needed */
63       PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
64       PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)dir)->ordering, &dir->row, &dir->col));
65       if (dir->row) { }
66       PetscCall(MatLUFactor(pc->pmat, dir->row, dir->col, &((PC_Factor *)dir)->info));
67       PetscCall(MatFactorGetError(pc->pmat, &err));
68       if (err) { /* Factor() fails */
69         pc->failedreason = (PCFailedReason)err;
70         PetscFunctionReturn(PETSC_SUCCESS);
71       }
72     }
73     ((PC_Factor *)dir)->fact = pc->pmat;
74   } else {
75     MatInfo info;
76 
77     if (!pc->setupcalled) {
78       PetscBool canuseordering;
79 
80       PetscCall(PCFactorSetUpMatSolverType(pc));
81       PetscCall(MatFactorGetCanUseOrdering(((PC_Factor *)dir)->fact, &canuseordering));
82       if (canuseordering) {
83         PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
84         PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)dir)->ordering, &dir->row, &dir->col));
85         if (dir->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat, dir->nonzerosalongdiagonaltol, dir->row, dir->col));
86       }
87       PetscCall(MatLUFactorSymbolic(((PC_Factor *)dir)->fact, pc->pmat, dir->row, dir->col, &((PC_Factor *)dir)->info));
88       PetscCall(MatGetInfo(((PC_Factor *)dir)->fact, MAT_LOCAL, &info));
89       dir->hdr.actualfill = info.fill_ratio_needed;
90     } else if (pc->flag != SAME_NONZERO_PATTERN) {
91       PetscBool canuseordering;
92 
93       if (!dir->hdr.reuseordering) {
94         PetscCall(MatDestroy(&((PC_Factor *)dir)->fact));
95         PetscCall(PCFactorSetUpMatSolverType(pc));
96         PetscCall(MatFactorGetCanUseOrdering(((PC_Factor *)dir)->fact, &canuseordering));
97         if (canuseordering) {
98           if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
99           PetscCall(ISDestroy(&dir->col));
100           PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
101           PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)dir)->ordering, &dir->row, &dir->col));
102           if (dir->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat, dir->nonzerosalongdiagonaltol, dir->row, dir->col));
103         }
104       }
105       PetscCall(MatLUFactorSymbolic(((PC_Factor *)dir)->fact, pc->pmat, dir->row, dir->col, &((PC_Factor *)dir)->info));
106       PetscCall(MatGetInfo(((PC_Factor *)dir)->fact, MAT_LOCAL, &info));
107       dir->hdr.actualfill = info.fill_ratio_needed;
108     } else {
109       PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
110       if (err == MAT_FACTOR_NUMERIC_ZEROPIVOT) {
111         PetscCall(MatFactorClearError(((PC_Factor *)dir)->fact));
112         pc->failedreason = PC_NOERROR;
113       }
114     }
115     PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
116     if (err) { /* FactorSymbolic() fails */
117       pc->failedreason = (PCFailedReason)err;
118       PetscFunctionReturn(PETSC_SUCCESS);
119     }
120 
121     PetscCall(MatLUFactorNumeric(((PC_Factor *)dir)->fact, pc->pmat, &((PC_Factor *)dir)->info));
122     PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
123     if (err) { /* FactorNumeric() fails */
124       pc->failedreason = (PCFailedReason)err;
125     }
126   }
127 
128   PetscCall(PCFactorGetMatSolverType(pc, &stype));
129   if (!stype) {
130     MatSolverType solverpackage;
131     PetscCall(MatFactorGetSolverType(((PC_Factor *)dir)->fact, &solverpackage));
132     PetscCall(PCFactorSetMatSolverType(pc, solverpackage));
133   }
134   PetscFunctionReturn(PETSC_SUCCESS);
135 }
136 
137 static PetscErrorCode PCReset_LU(PC pc)
138 {
139   PC_LU *dir = (PC_LU *)pc->data;
140 
141   PetscFunctionBegin;
142   if (!dir->hdr.inplace && ((PC_Factor *)dir)->fact) PetscCall(MatDestroy(&((PC_Factor *)dir)->fact));
143   if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
144   PetscCall(ISDestroy(&dir->col));
145   PetscFunctionReturn(PETSC_SUCCESS);
146 }
147 
148 static PetscErrorCode PCDestroy_LU(PC pc)
149 {
150   PC_LU *dir = (PC_LU *)pc->data;
151 
152   PetscFunctionBegin;
153   PetscCall(PCReset_LU(pc));
154   PetscCall(PetscFree(((PC_Factor *)dir)->ordering));
155   PetscCall(PetscFree(((PC_Factor *)dir)->solvertype));
156   PetscCall(PCFactorClearComposedFunctions(pc));
157   PetscCall(PetscFree(pc->data));
158   PetscFunctionReturn(PETSC_SUCCESS);
159 }
160 
161 static PetscErrorCode PCApply_LU(PC pc, Vec x, Vec y)
162 {
163   PC_LU *dir = (PC_LU *)pc->data;
164 
165   PetscFunctionBegin;
166   if (dir->hdr.inplace) {
167     PetscCall(MatSolve(pc->pmat, x, y));
168   } else {
169     PetscCall(MatSolve(((PC_Factor *)dir)->fact, x, y));
170   }
171   PetscFunctionReturn(PETSC_SUCCESS);
172 }
173 
174 static PetscErrorCode PCMatApply_LU(PC pc, Mat X, Mat Y)
175 {
176   PC_LU *dir = (PC_LU *)pc->data;
177 
178   PetscFunctionBegin;
179   if (dir->hdr.inplace) {
180     PetscCall(MatMatSolve(pc->pmat, X, Y));
181   } else {
182     PetscCall(MatMatSolve(((PC_Factor *)dir)->fact, X, Y));
183   }
184   PetscFunctionReturn(PETSC_SUCCESS);
185 }
186 
187 static PetscErrorCode PCApplyTranspose_LU(PC pc, Vec x, Vec y)
188 {
189   PC_LU *dir = (PC_LU *)pc->data;
190 
191   PetscFunctionBegin;
192   if (dir->hdr.inplace) {
193     PetscCall(MatSolveTranspose(pc->pmat, x, y));
194   } else {
195     PetscCall(MatSolveTranspose(((PC_Factor *)dir)->fact, x, y));
196   }
197   PetscFunctionReturn(PETSC_SUCCESS);
198 }
199 
200 /*MC
201    PCLU - Uses a direct solver, based on LU factorization, as a preconditioner
202 
203    Options Database Keys:
204 +  -pc_factor_reuse_ordering - Activate `PCFactorSetReuseOrdering()`
205 .  -pc_factor_mat_solver_type - Actives `PCFactorSetMatSolverType()` to choose the direct solver, like superlu
206 .  -pc_factor_reuse_fill - Activates `PCFactorSetReuseFill()`
207 .  -pc_factor_fill <fill> - Sets fill amount
208 .  -pc_factor_in_place - Activates in-place factorization
209 .  -pc_factor_mat_ordering_type <nd,rcm,...> - Sets ordering routine
210 .  -pc_factor_pivot_in_blocks <true,false> - allow pivoting within the small blocks during factorization (may increase
211                                          stability of factorization.
212 .  -pc_factor_shift_type <shifttype> - Sets shift type or -1 for the default; use '-help' for a list of available types
213 .  -pc_factor_shift_amount <shiftamount> - Sets shift amount or -1 for the default
214 .  -pc_factor_nonzeros_along_diagonal - permutes the rows and columns to try to put nonzero value along the diagonal.
215 .  -pc_factor_mat_solver_type <packagename> - use an external package for the solve, see `MatSolverType` for possibilities
216 -  -mat_solvertype_optionname - options for a specific solver package, for example -mat_mumps_cntl_1
217 
218    Level: beginner
219 
220    Notes:
221    Not all options work for all matrix formats
222 
223    Run with -help to see additional options for particular matrix formats or factorization algorithms
224 
225    Usually this will compute an "exact" solution in one iteration and does
226    not need a Krylov method (i.e. you can use -ksp_type preonly, or
227    `KSPSetType`(ksp,`KSPPREONLY`) for the Krylov method
228 
229 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `MatSolverType`, `MatGetFactor()`, `PCQR`, `PCSVD`,
230           `PCILU`, `PCCHOLESKY`, `PCICC`, `PCFactorSetReuseOrdering()`, `PCFactorSetReuseFill()`, `PCFactorGetMatrix()`,
231           `PCFactorSetFill()`, `PCFactorSetUseInPlace()`, `PCFactorSetMatOrderingType()`, `PCFactorSetColumnPivot()`,
232           `PCFactorSetPivotInBlocks()`, `PCFactorSetShiftType()`, `PCFactorSetShiftAmount()`
233           `PCFactorReorderForNonzeroDiagonal()`
234 M*/
235 
236 PETSC_EXTERN PetscErrorCode PCCreate_LU(PC pc)
237 {
238   PC_LU *dir;
239 
240   PetscFunctionBegin;
241   PetscCall(PetscNew(&dir));
242   pc->data = (void *)dir;
243   PetscCall(PCFactorInitialize(pc, MAT_FACTOR_LU));
244   dir->nonzerosalongdiagonal = PETSC_FALSE;
245 
246   ((PC_Factor *)dir)->info.fill      = 5.0;
247   ((PC_Factor *)dir)->info.dtcol     = 1.e-6; /* default to pivoting; this is only thing PETSc LU supports */
248   ((PC_Factor *)dir)->info.shifttype = (PetscReal)MAT_SHIFT_NONE;
249   dir->col                           = NULL;
250   dir->row                           = NULL;
251 
252   pc->ops->reset           = PCReset_LU;
253   pc->ops->destroy         = PCDestroy_LU;
254   pc->ops->apply           = PCApply_LU;
255   pc->ops->matapply        = PCMatApply_LU;
256   pc->ops->applytranspose  = PCApplyTranspose_LU;
257   pc->ops->setup           = PCSetUp_LU;
258   pc->ops->setfromoptions  = PCSetFromOptions_LU;
259   pc->ops->view            = PCView_Factor;
260   pc->ops->applyrichardson = NULL;
261   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCFactorReorderForNonzeroDiagonal_C", PCFactorReorderForNonzeroDiagonal_LU));
262   PetscFunctionReturn(PETSC_SUCCESS);
263 }
264