xref: /petsc/src/ksp/pc/impls/factor/lu/lu.c (revision d5b43468fb8780a8feea140ccd6fa3e6a50411cc)
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(PC pc, PetscOptionItems *PetscOptionsObject)
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(pc, PetscOptionsObject));
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(MatLUFactor(pc->pmat, dir->row, dir->col, &((PC_Factor *)dir)->info));
68       PetscCall(MatFactorGetError(pc->pmat, &err));
69       if (err) { /* Factor() fails */
70         pc->failedreason = (PCFailedReason)err;
71         PetscFunctionReturn(0);
72       }
73     }
74     ((PC_Factor *)dir)->fact = pc->pmat;
75   } else {
76     MatInfo info;
77 
78     if (!pc->setupcalled) {
79       PetscBool canuseordering;
80       if (!((PC_Factor *)dir)->fact) { PetscCall(MatGetFactor(pc->pmat, ((PC_Factor *)dir)->solvertype, MAT_FACTOR_LU, &((PC_Factor *)dir)->fact)); }
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       if (!dir->hdr.reuseordering) {
93         PetscCall(MatDestroy(&((PC_Factor *)dir)->fact));
94         PetscCall(MatGetFactor(pc->pmat, ((PC_Factor *)dir)->solvertype, MAT_FACTOR_LU, &((PC_Factor *)dir)->fact));
95         PetscCall(MatFactorGetCanUseOrdering(((PC_Factor *)dir)->fact, &canuseordering));
96         if (canuseordering) {
97           if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
98           PetscCall(ISDestroy(&dir->col));
99           PetscCall(PCFactorSetDefaultOrdering_Factor(pc));
100           PetscCall(MatGetOrdering(pc->pmat, ((PC_Factor *)dir)->ordering, &dir->row, &dir->col));
101           if (dir->nonzerosalongdiagonal) PetscCall(MatReorderForNonzeroDiagonal(pc->pmat, dir->nonzerosalongdiagonaltol, dir->row, dir->col));
102         }
103       }
104       PetscCall(MatLUFactorSymbolic(((PC_Factor *)dir)->fact, pc->pmat, dir->row, dir->col, &((PC_Factor *)dir)->info));
105       PetscCall(MatGetInfo(((PC_Factor *)dir)->fact, MAT_LOCAL, &info));
106       dir->hdr.actualfill = info.fill_ratio_needed;
107     } else {
108       PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
109       if (err == MAT_FACTOR_NUMERIC_ZEROPIVOT) {
110         PetscCall(MatFactorClearError(((PC_Factor *)dir)->fact));
111         pc->failedreason = PC_NOERROR;
112       }
113     }
114     PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
115     if (err) { /* FactorSymbolic() fails */
116       pc->failedreason = (PCFailedReason)err;
117       PetscFunctionReturn(0);
118     }
119 
120     PetscCall(MatLUFactorNumeric(((PC_Factor *)dir)->fact, pc->pmat, &((PC_Factor *)dir)->info));
121     PetscCall(MatFactorGetError(((PC_Factor *)dir)->fact, &err));
122     if (err) { /* FactorNumeric() fails */
123       pc->failedreason = (PCFailedReason)err;
124     }
125   }
126 
127   PetscCall(PCFactorGetMatSolverType(pc, &stype));
128   if (!stype) {
129     MatSolverType solverpackage;
130     PetscCall(MatFactorGetSolverType(((PC_Factor *)dir)->fact, &solverpackage));
131     PetscCall(PCFactorSetMatSolverType(pc, solverpackage));
132   }
133   PetscFunctionReturn(0);
134 }
135 
136 static PetscErrorCode PCReset_LU(PC pc)
137 {
138   PC_LU *dir = (PC_LU *)pc->data;
139 
140   PetscFunctionBegin;
141   if (!dir->hdr.inplace && ((PC_Factor *)dir)->fact) PetscCall(MatDestroy(&((PC_Factor *)dir)->fact));
142   if (dir->row && dir->col && dir->row != dir->col) PetscCall(ISDestroy(&dir->row));
143   PetscCall(ISDestroy(&dir->col));
144   PetscFunctionReturn(0);
145 }
146 
147 static PetscErrorCode PCDestroy_LU(PC pc)
148 {
149   PC_LU *dir = (PC_LU *)pc->data;
150 
151   PetscFunctionBegin;
152   PetscCall(PCReset_LU(pc));
153   PetscCall(PetscFree(((PC_Factor *)dir)->ordering));
154   PetscCall(PetscFree(((PC_Factor *)dir)->solvertype));
155   PetscCall(PCFactorClearComposedFunctions(pc));
156   PetscCall(PetscFree(pc->data));
157   PetscFunctionReturn(0);
158 }
159 
160 static PetscErrorCode PCApply_LU(PC pc, Vec x, Vec y)
161 {
162   PC_LU *dir = (PC_LU *)pc->data;
163 
164   PetscFunctionBegin;
165   if (dir->hdr.inplace) {
166     PetscCall(MatSolve(pc->pmat, x, y));
167   } else {
168     PetscCall(MatSolve(((PC_Factor *)dir)->fact, x, y));
169   }
170   PetscFunctionReturn(0);
171 }
172 
173 static PetscErrorCode PCMatApply_LU(PC pc, Mat X, Mat Y)
174 {
175   PC_LU *dir = (PC_LU *)pc->data;
176 
177   PetscFunctionBegin;
178   if (dir->hdr.inplace) {
179     PetscCall(MatMatSolve(pc->pmat, X, Y));
180   } else {
181     PetscCall(MatMatSolve(((PC_Factor *)dir)->fact, X, Y));
182   }
183   PetscFunctionReturn(0);
184 }
185 
186 static PetscErrorCode PCApplyTranspose_LU(PC pc, Vec x, Vec y)
187 {
188   PC_LU *dir = (PC_LU *)pc->data;
189 
190   PetscFunctionBegin;
191   if (dir->hdr.inplace) {
192     PetscCall(MatSolveTranspose(pc->pmat, x, y));
193   } else {
194     PetscCall(MatSolveTranspose(((PC_Factor *)dir)->fact, x, y));
195   }
196   PetscFunctionReturn(0);
197 }
198 
199 /*MC
200    PCLU - Uses a direct solver, based on LU factorization, as a preconditioner
201 
202    Options Database Keys:
203 +  -pc_factor_reuse_ordering - Activate `PCFactorSetReuseOrdering()`
204 .  -pc_factor_mat_solver_type - Actives `PCFactorSetMatSolverType()` to choose the direct solver, like superlu
205 .  -pc_factor_reuse_fill - Activates `PCFactorSetReuseFill()`
206 .  -pc_factor_fill <fill> - Sets fill amount
207 .  -pc_factor_in_place - Activates in-place factorization
208 .  -pc_factor_mat_ordering_type <nd,rcm,...> - Sets ordering routine
209 .  -pc_factor_pivot_in_blocks <true,false> - allow pivoting within the small blocks during factorization (may increase
210                                          stability of factorization.
211 .  -pc_factor_shift_type <shifttype> - Sets shift type or -1 for the default; use '-help' for a list of available types
212 .  -pc_factor_shift_amount <shiftamount> - Sets shift amount or -1 for the default
213 .  -pc_factor_nonzeros_along_diagonal - permutes the rows and columns to try to put nonzero value along the diagonal.
214 .  -pc_factor_mat_solver_type <packagename> - use an external package for the solve, see `MatSolverType` for possibilities
215 -  -mat_solvertype_optionname - options for a specific solver package, for example -mat_mumps_cntl_1
216 
217    Level: beginner
218 
219    Notes:
220    Not all options work for all matrix formats
221 
222    Run with -help to see additional options for particular matrix formats or factorization algorithms
223 
224    Usually this will compute an "exact" solution in one iteration and does
225    not need a Krylov method (i.e. you can use -ksp_type preonly, or
226    `KSPSetType`(ksp,`KSPPREONLY`) for the Krylov method
227 
228 .seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `MatSolverType`, `MatGetFactor()`, `PCQR`, `PCSVD`,
229           `PCILU`, `PCCHOLESKY`, `PCICC`, `PCFactorSetReuseOrdering()`, `PCFactorSetReuseFill()`, `PCFactorGetMatrix()`,
230           `PCFactorSetFill()`, `PCFactorSetUseInPlace()`, `PCFactorSetMatOrderingType()`, `PCFactorSetColumnPivot()`,
231           `PCFactorSetPivotInBlocks()`, `PCFactorSetShiftType()`, `PCFactorSetShiftAmount()`
232           `PCFactorReorderForNonzeroDiagonal()`
233 M*/
234 
235 PETSC_EXTERN PetscErrorCode PCCreate_LU(PC pc)
236 {
237   PC_LU *dir;
238 
239   PetscFunctionBegin;
240   PetscCall(PetscNew(&dir));
241   pc->data = (void *)dir;
242   PetscCall(PCFactorInitialize(pc, MAT_FACTOR_LU));
243   dir->nonzerosalongdiagonal = PETSC_FALSE;
244 
245   ((PC_Factor *)dir)->info.fill      = 5.0;
246   ((PC_Factor *)dir)->info.dtcol     = 1.e-6; /* default to pivoting; this is only thing PETSc LU supports */
247   ((PC_Factor *)dir)->info.shifttype = (PetscReal)MAT_SHIFT_NONE;
248   dir->col                           = NULL;
249   dir->row                           = NULL;
250 
251   pc->ops->reset           = PCReset_LU;
252   pc->ops->destroy         = PCDestroy_LU;
253   pc->ops->apply           = PCApply_LU;
254   pc->ops->matapply        = PCMatApply_LU;
255   pc->ops->applytranspose  = PCApplyTranspose_LU;
256   pc->ops->setup           = PCSetUp_LU;
257   pc->ops->setfromoptions  = PCSetFromOptions_LU;
258   pc->ops->view            = PCView_Factor;
259   pc->ops->applyrichardson = NULL;
260   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCFactorReorderForNonzeroDiagonal_C", PCFactorReorderForNonzeroDiagonal_LU));
261   PetscFunctionReturn(0);
262 }
263