Actual source code: umfpack.c

petsc-3.5.2 2014-09-08
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  2: /*
  3:    Provides an interface to the UMFPACK sparse solver available through SuiteSparse version 4.2.1

  5:    When build with PETSC_USE_64BIT_INDICES this will use UF_Long as the
  6:    integer type in UMFPACK, otherwise it will use int. This means
  7:    all integers in this file as simply declared as PetscInt. Also it means
  8:    that UMFPACK UL_Long version MUST be built with 64 bit integers when used.

 10: */
 11: #include <../src/mat/impls/aij/seq/aij.h>

 13: #if defined(PETSC_USE_64BIT_INDICES)
 14: #if defined(PETSC_USE_COMPLEX)
 15: #define umfpack_UMF_free_symbolic   umfpack_zl_free_symbolic
 16: #define umfpack_UMF_free_numeric    umfpack_zl_free_numeric
 17: #define umfpack_UMF_wsolve          umfpack_zl_wsolve
 18: #define umfpack_UMF_numeric         umfpack_zl_numeric
 19: #define umfpack_UMF_report_numeric  umfpack_zl_report_numeric
 20: #define umfpack_UMF_report_control  umfpack_zl_report_control
 21: #define umfpack_UMF_report_status   umfpack_zl_report_status
 22: #define umfpack_UMF_report_info     umfpack_zl_report_info
 23: #define umfpack_UMF_report_symbolic umfpack_zl_report_symbolic
 24: #define umfpack_UMF_qsymbolic       umfpack_zl_qsymbolic
 25: #define umfpack_UMF_symbolic        umfpack_zl_symbolic
 26: #define umfpack_UMF_defaults        umfpack_zl_defaults

 28: #else
 29: #define umfpack_UMF_free_symbolic   umfpack_dl_free_symbolic
 30: #define umfpack_UMF_free_numeric    umfpack_dl_free_numeric
 31: #define umfpack_UMF_wsolve          umfpack_dl_wsolve
 32: #define umfpack_UMF_numeric         umfpack_dl_numeric
 33: #define umfpack_UMF_report_numeric  umfpack_dl_report_numeric
 34: #define umfpack_UMF_report_control  umfpack_dl_report_control
 35: #define umfpack_UMF_report_status   umfpack_dl_report_status
 36: #define umfpack_UMF_report_info     umfpack_dl_report_info
 37: #define umfpack_UMF_report_symbolic umfpack_dl_report_symbolic
 38: #define umfpack_UMF_qsymbolic       umfpack_dl_qsymbolic
 39: #define umfpack_UMF_symbolic        umfpack_dl_symbolic
 40: #define umfpack_UMF_defaults        umfpack_dl_defaults
 41: #endif

 43: #else
 44: #if defined(PETSC_USE_COMPLEX)
 45: #define umfpack_UMF_free_symbolic   umfpack_zi_free_symbolic
 46: #define umfpack_UMF_free_numeric    umfpack_zi_free_numeric
 47: #define umfpack_UMF_wsolve          umfpack_zi_wsolve
 48: #define umfpack_UMF_numeric         umfpack_zi_numeric
 49: #define umfpack_UMF_report_numeric  umfpack_zi_report_numeric
 50: #define umfpack_UMF_report_control  umfpack_zi_report_control
 51: #define umfpack_UMF_report_status   umfpack_zi_report_status
 52: #define umfpack_UMF_report_info     umfpack_zi_report_info
 53: #define umfpack_UMF_report_symbolic umfpack_zi_report_symbolic
 54: #define umfpack_UMF_qsymbolic       umfpack_zi_qsymbolic
 55: #define umfpack_UMF_symbolic        umfpack_zi_symbolic
 56: #define umfpack_UMF_defaults        umfpack_zi_defaults

 58: #else
 59: #define umfpack_UMF_free_symbolic   umfpack_di_free_symbolic
 60: #define umfpack_UMF_free_numeric    umfpack_di_free_numeric
 61: #define umfpack_UMF_wsolve          umfpack_di_wsolve
 62: #define umfpack_UMF_numeric         umfpack_di_numeric
 63: #define umfpack_UMF_report_numeric  umfpack_di_report_numeric
 64: #define umfpack_UMF_report_control  umfpack_di_report_control
 65: #define umfpack_UMF_report_status   umfpack_di_report_status
 66: #define umfpack_UMF_report_info     umfpack_di_report_info
 67: #define umfpack_UMF_report_symbolic umfpack_di_report_symbolic
 68: #define umfpack_UMF_qsymbolic       umfpack_di_qsymbolic
 69: #define umfpack_UMF_symbolic        umfpack_di_symbolic
 70: #define umfpack_UMF_defaults        umfpack_di_defaults
 71: #endif
 72: #endif


 75: #define UF_long long long
 76: #define UF_long_max LONG_LONG_MAX
 77: #define UF_long_id "%lld"

 79: EXTERN_C_BEGIN
 80: #include <umfpack.h>
 81: EXTERN_C_END

 83: static const char *const UmfpackOrderingTypes[] = {"CHOLMOD","AMD","GIVEN","METIS","BEST","NONE","USER","UmfpackOrderingTypes","UMFPACK_ORDERING_",0};

 85: typedef struct {
 86:   void         *Symbolic, *Numeric;
 87:   double       Info[UMFPACK_INFO], Control[UMFPACK_CONTROL],*W;
 88:   PetscInt     *Wi,*perm_c;
 89:   Mat          A;               /* Matrix used for factorization */
 90:   MatStructure flg;
 91:   PetscBool    PetscMatOrdering;

 93:   /* Flag to clean up UMFPACK objects during Destroy */
 94:   PetscBool CleanUpUMFPACK;
 95: } Mat_UMFPACK;

 99: static PetscErrorCode MatDestroy_UMFPACK(Mat A)
100: {
102:   Mat_UMFPACK    *lu=(Mat_UMFPACK*)A->spptr;

105:   if (lu && lu->CleanUpUMFPACK) {
106:     umfpack_UMF_free_symbolic(&lu->Symbolic);
107:     umfpack_UMF_free_numeric(&lu->Numeric);
108:     PetscFree(lu->Wi);
109:     PetscFree(lu->W);
110:     PetscFree(lu->perm_c);
111:   }
112:   MatDestroy(&lu->A);
113:   PetscFree(A->spptr);
114:   MatDestroy_SeqAIJ(A);
115:   return(0);
116: }

120: static PetscErrorCode MatSolve_UMFPACK_Private(Mat A,Vec b,Vec x,int uflag)
121: {
122:   Mat_UMFPACK    *lu = (Mat_UMFPACK*)A->spptr;
123:   Mat_SeqAIJ     *a  = (Mat_SeqAIJ*)lu->A->data;
124:   PetscScalar    *av = a->a,*ba,*xa;
126:   PetscInt       *ai = a->i,*aj = a->j,status;

129:   /* solve Ax = b by umfpack_*_wsolve */
130:   /* ----------------------------------*/

132:   if (!lu->Wi) {  /* first time, allocate working space for wsolve */
133:     PetscMalloc1(A->rmap->n,&lu->Wi);
134:     PetscMalloc1(5*A->rmap->n,&lu->W);
135:   }

137:   VecGetArray(b,&ba);
138:   VecGetArray(x,&xa);
139: #if defined(PETSC_USE_COMPLEX)
140:   status = umfpack_UMF_wsolve(uflag,ai,aj,(PetscReal*)av,NULL,(PetscReal*)xa,NULL,(PetscReal*)ba,NULL,lu->Numeric,lu->Control,lu->Info,lu->Wi,lu->W);
141: #else
142:   status = umfpack_UMF_wsolve(uflag,ai,aj,av,xa,ba,lu->Numeric,lu->Control,lu->Info,lu->Wi,lu->W);
143: #endif
144:   umfpack_UMF_report_info(lu->Control, lu->Info);
145:   if (status < 0) {
146:     umfpack_UMF_report_status(lu->Control, status);
147:     SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"umfpack_UMF_wsolve failed");
148:   }

150:   VecRestoreArray(b,&ba);
151:   VecRestoreArray(x,&xa);
152:   return(0);
153: }

157: static PetscErrorCode MatSolve_UMFPACK(Mat A,Vec b,Vec x)
158: {

162:   /* We gave UMFPACK the algebraic transpose (because it assumes column alignment) */
163:   MatSolve_UMFPACK_Private(A,b,x,UMFPACK_Aat);
164:   return(0);
165: }

169: static PetscErrorCode MatSolveTranspose_UMFPACK(Mat A,Vec b,Vec x)
170: {

174:   /* We gave UMFPACK the algebraic transpose (because it assumes column alignment) */
175:   MatSolve_UMFPACK_Private(A,b,x,UMFPACK_A);
176:   return(0);
177: }

181: static PetscErrorCode MatLUFactorNumeric_UMFPACK(Mat F,Mat A,const MatFactorInfo *info)
182: {
183:   Mat_UMFPACK    *lu = (Mat_UMFPACK*)(F)->spptr;
184:   Mat_SeqAIJ     *a  = (Mat_SeqAIJ*)A->data;
185:   PetscInt       *ai = a->i,*aj=a->j,status;
186:   PetscScalar    *av = a->a;

190:   /* numeric factorization of A' */
191:   /* ----------------------------*/

193:   if (lu->flg == SAME_NONZERO_PATTERN && lu->Numeric) {
194:     umfpack_UMF_free_numeric(&lu->Numeric);
195:   }
196: #if defined(PETSC_USE_COMPLEX)
197:   status = umfpack_UMF_numeric(ai,aj,(double*)av,NULL,lu->Symbolic,&lu->Numeric,lu->Control,lu->Info);
198: #else
199:   status = umfpack_UMF_numeric(ai,aj,av,lu->Symbolic,&lu->Numeric,lu->Control,lu->Info);
200: #endif
201:   if (status < 0) {
202:     umfpack_UMF_report_status(lu->Control, status);
203:     SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"umfpack_UMF_numeric failed");
204:   }
205:   /* report numeric factorization of A' when Control[PRL] > 3 */
206:   (void) umfpack_UMF_report_numeric(lu->Numeric, lu->Control);

208:   PetscObjectReference((PetscObject)A);
209:   MatDestroy(&lu->A);

211:   lu->A                  = A;
212:   lu->flg                = SAME_NONZERO_PATTERN;
213:   lu->CleanUpUMFPACK     = PETSC_TRUE;
214:   F->ops->solve          = MatSolve_UMFPACK;
215:   F->ops->solvetranspose = MatSolveTranspose_UMFPACK;
216:   return(0);
217: }

219: /*
220:    Note the r permutation is ignored
221: */
224: static PetscErrorCode MatLUFactorSymbolic_UMFPACK(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info)
225: {
226:   Mat_SeqAIJ     *a  = (Mat_SeqAIJ*)A->data;
227:   Mat_UMFPACK    *lu = (Mat_UMFPACK*)(F->spptr);
229:   PetscInt       i,*ai = a->i,*aj = a->j,m=A->rmap->n,n=A->cmap->n;
230:   PetscScalar    *av = a->a;
231:   const PetscInt *ra;
232:   PetscInt       status;

235:   if (lu->PetscMatOrdering) {
236:     ISGetIndices(r,&ra);
237:     PetscMalloc1(m,&lu->perm_c);
238:     /* we cannot simply memcpy on 64 bit archs */
239:     for (i = 0; i < m; i++) lu->perm_c[i] = ra[i];
240:     ISRestoreIndices(r,&ra);
241:   }

243:   /* print the control parameters */
244:   if (lu->Control[UMFPACK_PRL] > 1) umfpack_UMF_report_control(lu->Control);

246:   /* symbolic factorization of A' */
247:   /* ---------------------------------------------------------------------- */
248:   if (lu->PetscMatOrdering) { /* use Petsc row ordering */
249: #if !defined(PETSC_USE_COMPLEX)
250:     status = umfpack_UMF_qsymbolic(n,m,ai,aj,av,lu->perm_c,&lu->Symbolic,lu->Control,lu->Info);
251: #else
252:     status = umfpack_UMF_qsymbolic(n,m,ai,aj,NULL,NULL,lu->perm_c,&lu->Symbolic,lu->Control,lu->Info);
253: #endif
254:   } else { /* use Umfpack col ordering */
255: #if !defined(PETSC_USE_COMPLEX)
256:     status = umfpack_UMF_symbolic(n,m,ai,aj,av,&lu->Symbolic,lu->Control,lu->Info);
257: #else
258:     status = umfpack_UMF_symbolic(n,m,ai,aj,NULL,NULL,&lu->Symbolic,lu->Control,lu->Info);
259: #endif
260:   }
261:   if (status < 0) {
262:     umfpack_UMF_report_info(lu->Control, lu->Info);
263:     umfpack_UMF_report_status(lu->Control, status);
264:     SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"umfpack_UMF_symbolic failed");
265:   }
266:   /* report sumbolic factorization of A' when Control[PRL] > 3 */
267:   (void) umfpack_UMF_report_symbolic(lu->Symbolic, lu->Control);

269:   lu->flg                   = DIFFERENT_NONZERO_PATTERN;
270:   lu->CleanUpUMFPACK        = PETSC_TRUE;
271:   (F)->ops->lufactornumeric = MatLUFactorNumeric_UMFPACK;
272:   return(0);
273: }

277: static PetscErrorCode MatFactorInfo_UMFPACK(Mat A,PetscViewer viewer)
278: {
279:   Mat_UMFPACK    *lu= (Mat_UMFPACK*)A->spptr;

283:   /* check if matrix is UMFPACK type */
284:   if (A->ops->solve != MatSolve_UMFPACK) return(0);

286:   PetscViewerASCIIPrintf(viewer,"UMFPACK run parameters:\n");
287:   /* Control parameters used by reporting routiones */
288:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_PRL]: %g\n",lu->Control[UMFPACK_PRL]);

290:   /* Control parameters used by symbolic factorization */
291:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_STRATEGY]: %g\n",lu->Control[UMFPACK_STRATEGY]);
292:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_DENSE_COL]: %g\n",lu->Control[UMFPACK_DENSE_COL]);
293:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_DENSE_ROW]: %g\n",lu->Control[UMFPACK_DENSE_ROW]);
294:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_AMD_DENSE]: %g\n",lu->Control[UMFPACK_AMD_DENSE]);
295:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_BLOCK_SIZE]: %g\n",lu->Control[UMFPACK_BLOCK_SIZE]);
296:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_FIXQ]: %g\n",lu->Control[UMFPACK_FIXQ]);
297:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_AGGRESSIVE]: %g\n",lu->Control[UMFPACK_AGGRESSIVE]);

299:   /* Control parameters used by numeric factorization */
300:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_PIVOT_TOLERANCE]: %g\n",lu->Control[UMFPACK_PIVOT_TOLERANCE]);
301:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_SYM_PIVOT_TOLERANCE]: %g\n",lu->Control[UMFPACK_SYM_PIVOT_TOLERANCE]);
302:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_SCALE]: %g\n",lu->Control[UMFPACK_SCALE]);
303:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_ALLOC_INIT]: %g\n",lu->Control[UMFPACK_ALLOC_INIT]);
304:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_DROPTOL]: %g\n",lu->Control[UMFPACK_DROPTOL]);

306:   /* Control parameters used by solve */
307:   PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_IRSTEP]: %g\n",lu->Control[UMFPACK_IRSTEP]);

309:   /* mat ordering */
310:   if (!lu->PetscMatOrdering) {
311:     PetscViewerASCIIPrintf(viewer,"  Control[UMFPACK_ORDERING]: %s (not using the PETSc ordering)\n",UmfpackOrderingTypes[(int)lu->Control[UMFPACK_ORDERING]]);
312:   }
313:   return(0);
314: }

318: static PetscErrorCode MatView_UMFPACK(Mat A,PetscViewer viewer)
319: {
320:   PetscErrorCode    ierr;
321:   PetscBool         iascii;
322:   PetscViewerFormat format;

325:   MatView_SeqAIJ(A,viewer);

327:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
328:   if (iascii) {
329:     PetscViewerGetFormat(viewer,&format);
330:     if (format == PETSC_VIEWER_ASCII_INFO) {
331:       MatFactorInfo_UMFPACK(A,viewer);
332:     }
333:   }
334:   return(0);
335: }

339: PetscErrorCode MatFactorGetSolverPackage_seqaij_umfpack(Mat A,const MatSolverPackage *type)
340: {
342:   *type = MATSOLVERUMFPACK;
343:   return(0);
344: }


347: /*MC
348:   MATSOLVERUMFPACK = "umfpack" - A matrix type providing direct solvers (LU) for sequential matrices
349:   via the external package UMFPACK.

351:   ./configure --download-suitesparse to install PETSc to use UMFPACK

353:   Consult UMFPACK documentation for more information about the Control parameters
354:   which correspond to the options database keys below.

356:   Options Database Keys:
357: + -mat_umfpack_prl                     - UMFPACK print level: Control[UMFPACK_PRL]
358: . -mat_umfpack_strategy <AUTO>         - (choose one of) AUTO UNSYMMETRIC SYMMETRIC 2BY2
359: . -mat_umfpack_dense_col <alpha_c>     - UMFPACK dense column threshold: Control[UMFPACK_DENSE_COL]
360: . -mat_umfpack_dense_row <0.2>         - Control[UMFPACK_DENSE_ROW]
361: . -mat_umfpack_amd_dense <10>          - Control[UMFPACK_AMD_DENSE]
362: . -mat_umfpack_block_size <bs>         - UMFPACK block size for BLAS-Level 3 calls: Control[UMFPACK_BLOCK_SIZE]
363: . -mat_umfpack_2by2_tolerance <0.01>   - Control[UMFPACK_2BY2_TOLERANCE]
364: . -mat_umfpack_fixq <0>                - Control[UMFPACK_FIXQ]
365: . -mat_umfpack_aggressive <1>          - Control[UMFPACK_AGGRESSIVE]
366: . -mat_umfpack_pivot_tolerance <delta> - UMFPACK partial pivot tolerance: Control[UMFPACK_PIVOT_TOLERANCE]
367: .  -mat_umfpack_sym_pivot_tolerance <0.001> - Control[UMFPACK_SYM_PIVOT_TOLERANCE]
368: .  -mat_umfpack_scale <NONE>           - (choose one of) NONE SUM MAX
369: . -mat_umfpack_alloc_init <delta>      - UMFPACK factorized matrix allocation modifier: Control[UMFPACK_ALLOC_INIT]
370: .  -mat_umfpack_droptol <0>            - Control[UMFPACK_DROPTOL]
371: - -mat_umfpack_irstep <maxit>          - UMFPACK maximum number of iterative refinement steps: Control[UMFPACK_IRSTEP]

373:    Level: beginner

375: .seealso: PCLU, MATSOLVERSUPERLU, MATSOLVERMUMPS, PCFactorSetMatSolverPackage(), MatSolverPackage
376: M*/

380: PETSC_EXTERN PetscErrorCode MatGetFactor_seqaij_umfpack(Mat A,MatFactorType ftype,Mat *F)
381: {
382:   Mat            B;
383:   Mat_UMFPACK    *lu;
385:   PetscInt       m=A->rmap->n,n=A->cmap->n,idx;

387:   const char *strategy[]={"AUTO","UNSYMMETRIC","SYMMETRIC"};
388:   const char *scale[]   ={"NONE","SUM","MAX"};
389:   PetscBool  flg;

392:   /* Create the factorization matrix F */
393:   MatCreate(PetscObjectComm((PetscObject)A),&B);
394:   MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,m,n);
395:   MatSetType(B,((PetscObject)A)->type_name);
396:   MatSeqAIJSetPreallocation(B,0,NULL);
397:   PetscNewLog(B,&lu);

399:   B->spptr                 = lu;
400:   B->ops->lufactorsymbolic = MatLUFactorSymbolic_UMFPACK;
401:   B->ops->destroy          = MatDestroy_UMFPACK;
402:   B->ops->view             = MatView_UMFPACK;

404:   PetscObjectComposeFunction((PetscObject)B,"MatFactorGetSolverPackage_C",MatFactorGetSolverPackage_seqaij_umfpack);

406:   B->factortype   = MAT_FACTOR_LU;
407:   B->assembled    = PETSC_TRUE;           /* required by -ksp_view */
408:   B->preallocated = PETSC_TRUE;

410:   /* initializations */
411:   /* ------------------------------------------------*/
412:   /* get the default control parameters */
413:   umfpack_UMF_defaults(lu->Control);
414:   lu->perm_c                  = NULL; /* use defaul UMFPACK col permutation */
415:   lu->Control[UMFPACK_IRSTEP] = 0;          /* max num of iterative refinement steps to attempt */

417:   PetscOptionsBegin(PetscObjectComm((PetscObject)A),((PetscObject)A)->prefix,"UMFPACK Options","Mat");
418:   /* Control parameters used by reporting routiones */
419:   PetscOptionsReal("-mat_umfpack_prl","Control[UMFPACK_PRL]","None",lu->Control[UMFPACK_PRL],&lu->Control[UMFPACK_PRL],NULL);

421:   /* Control parameters for symbolic factorization */
422:   PetscOptionsEList("-mat_umfpack_strategy","ordering and pivoting strategy","None",strategy,3,strategy[0],&idx,&flg);
423:   if (flg) {
424:     switch (idx) {
425:     case 0: lu->Control[UMFPACK_STRATEGY] = UMFPACK_STRATEGY_AUTO; break;
426:     case 1: lu->Control[UMFPACK_STRATEGY] = UMFPACK_STRATEGY_UNSYMMETRIC; break;
427:     case 2: lu->Control[UMFPACK_STRATEGY] = UMFPACK_STRATEGY_SYMMETRIC; break;
428:     }
429:   }
430:   PetscOptionsEList("-mat_umfpack_ordering","Internal ordering method","None",UmfpackOrderingTypes,sizeof(UmfpackOrderingTypes)/sizeof(UmfpackOrderingTypes[0]),UmfpackOrderingTypes[(int)lu->Control[UMFPACK_ORDERING]],&idx,&flg);
431:   if (flg) lu->Control[UMFPACK_ORDERING] = (int)idx;
432:   PetscOptionsReal("-mat_umfpack_dense_col","Control[UMFPACK_DENSE_COL]","None",lu->Control[UMFPACK_DENSE_COL],&lu->Control[UMFPACK_DENSE_COL],NULL);
433:   PetscOptionsReal("-mat_umfpack_dense_row","Control[UMFPACK_DENSE_ROW]","None",lu->Control[UMFPACK_DENSE_ROW],&lu->Control[UMFPACK_DENSE_ROW],NULL);
434:   PetscOptionsReal("-mat_umfpack_amd_dense","Control[UMFPACK_AMD_DENSE]","None",lu->Control[UMFPACK_AMD_DENSE],&lu->Control[UMFPACK_AMD_DENSE],NULL);
435:   PetscOptionsReal("-mat_umfpack_block_size","Control[UMFPACK_BLOCK_SIZE]","None",lu->Control[UMFPACK_BLOCK_SIZE],&lu->Control[UMFPACK_BLOCK_SIZE],NULL);
436:   PetscOptionsReal("-mat_umfpack_fixq","Control[UMFPACK_FIXQ]","None",lu->Control[UMFPACK_FIXQ],&lu->Control[UMFPACK_FIXQ],NULL);
437:   PetscOptionsReal("-mat_umfpack_aggressive","Control[UMFPACK_AGGRESSIVE]","None",lu->Control[UMFPACK_AGGRESSIVE],&lu->Control[UMFPACK_AGGRESSIVE],NULL);

439:   /* Control parameters used by numeric factorization */
440:   PetscOptionsReal("-mat_umfpack_pivot_tolerance","Control[UMFPACK_PIVOT_TOLERANCE]","None",lu->Control[UMFPACK_PIVOT_TOLERANCE],&lu->Control[UMFPACK_PIVOT_TOLERANCE],NULL);
441:   PetscOptionsReal("-mat_umfpack_sym_pivot_tolerance","Control[UMFPACK_SYM_PIVOT_TOLERANCE]","None",lu->Control[UMFPACK_SYM_PIVOT_TOLERANCE],&lu->Control[UMFPACK_SYM_PIVOT_TOLERANCE],NULL);
442:   PetscOptionsEList("-mat_umfpack_scale","Control[UMFPACK_SCALE]","None",scale,3,scale[0],&idx,&flg);
443:   if (flg) {
444:     switch (idx) {
445:     case 0: lu->Control[UMFPACK_SCALE] = UMFPACK_SCALE_NONE; break;
446:     case 1: lu->Control[UMFPACK_SCALE] = UMFPACK_SCALE_SUM; break;
447:     case 2: lu->Control[UMFPACK_SCALE] = UMFPACK_SCALE_MAX; break;
448:     }
449:   }
450:   PetscOptionsReal("-mat_umfpack_alloc_init","Control[UMFPACK_ALLOC_INIT]","None",lu->Control[UMFPACK_ALLOC_INIT],&lu->Control[UMFPACK_ALLOC_INIT],NULL);
451:   PetscOptionsReal("-mat_umfpack_front_alloc_init","Control[UMFPACK_FRONT_ALLOC_INIT]","None",lu->Control[UMFPACK_FRONT_ALLOC_INIT],&lu->Control[UMFPACK_ALLOC_INIT],NULL);
452:   PetscOptionsReal("-mat_umfpack_droptol","Control[UMFPACK_DROPTOL]","None",lu->Control[UMFPACK_DROPTOL],&lu->Control[UMFPACK_DROPTOL],NULL);

454:   /* Control parameters used by solve */
455:   PetscOptionsReal("-mat_umfpack_irstep","Control[UMFPACK_IRSTEP]","None",lu->Control[UMFPACK_IRSTEP],&lu->Control[UMFPACK_IRSTEP],NULL);

457:   /* use Petsc mat ordering (note: size is for the transpose, and PETSc r = Umfpack perm_c) */
458:   PetscOptionsHasName(NULL,"-pc_factor_mat_ordering_type",&lu->PetscMatOrdering);
459:   PetscOptionsEnd();
460:   *F = B;
461:   return(0);
462: }