Actual source code: jd.c

slepc-3.8.0 2017-10-20
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-2017, Universitat Politecnica de Valencia, Spain

  6:    This file is part of SLEPc.
  7:    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
  8:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  9: */
 10: /*
 11:    SLEPc eigensolver: "jd"

 13:    Method: Jacobi-Davidson

 15:    Algorithm:

 17:        Jacobi-Davidson with various subspace extraction and
 18:        restart techniques.

 20:    References:

 22:        [1] G.L.G. Sleijpen and H.A. van der Vorst, "A Jacobi-Davidson
 23:            iteration method for linear eigenvalue problems", SIAM J.
 24:            Matrix Anal. Appl. 17(2):401-425, 1996.

 26:        [2] E. Romero and J.E. Roman, "A parallel implementation of
 27:            Davidson methods for large-scale eigenvalue problems in
 28:            SLEPc", ACM Trans. Math. Software 40(2), Article 13, 2014.
 29: */

 31: #include <slepc/private/epsimpl.h>                /*I "slepceps.h" I*/
 32: #include <../src/eps/impls/davidson/davidson.h>

 34: PetscErrorCode EPSSetFromOptions_JD(PetscOptionItems *PetscOptionsObject,EPS eps)
 35: {
 37:   PetscBool      flg,flg2,op,orth;
 38:   PetscInt       opi,opi0;
 39:   PetscReal      opf;

 42:   PetscOptionsHead(PetscOptionsObject,"EPS Jacobi-Davidson (JD) Options");

 44:     EPSJDGetKrylovStart(eps,&op);
 45:     PetscOptionsBool("-eps_jd_krylov_start","Start the search subspace with a Krylov basis","EPSJDSetKrylovStart",op,&op,&flg);
 46:     if (flg) { EPSJDSetKrylovStart(eps,op); }

 48:     EPSJDGetBOrth(eps,&orth);
 49:     PetscOptionsBool("-eps_jd_borth","Use B-orthogonalization in the search subspace","EPSJDSetBOrth",op,&op,&flg);
 50:     if (flg) { EPSJDSetBOrth(eps,op); }

 52:     EPSJDGetBlockSize(eps,&opi);
 53:     PetscOptionsInt("-eps_jd_blocksize","Number of vectors to add to the search subspace","EPSJDSetBlockSize",opi,&opi,&flg);
 54:     if (flg) { EPSJDSetBlockSize(eps,opi); }

 56:     EPSJDGetRestart(eps,&opi,&opi0);
 57:     PetscOptionsInt("-eps_jd_minv","Size of the search subspace after restarting","EPSJDSetRestart",opi,&opi,&flg);
 58:     PetscOptionsInt("-eps_jd_plusk","Number of eigenvectors saved from the previous iteration when restarting","EPSJDSetRestart",opi0,&opi0,&flg2);
 59:     if (flg || flg2) { EPSJDSetRestart(eps,opi,opi0); }

 61:     EPSJDGetInitialSize(eps,&opi);
 62:     PetscOptionsInt("-eps_jd_initial_size","Initial size of the search subspace","EPSJDSetInitialSize",opi,&opi,&flg);
 63:     if (flg) { EPSJDSetInitialSize(eps,opi); }

 65:     EPSJDGetFix(eps,&opf);
 66:     PetscOptionsReal("-eps_jd_fix","Tolerance for changing the target in the correction equation","EPSJDSetFix",opf,&opf,&flg);
 67:     if (flg) { EPSJDSetFix(eps,opf); }

 69:     EPSJDGetConstCorrectionTol(eps,&op);
 70:     PetscOptionsBool("-eps_jd_const_correction_tol","Disable the dynamic stopping criterion when solving the correction equation","EPSJDSetConstCorrectionTol",op,&op,&flg);
 71:     if (flg) { EPSJDSetConstCorrectionTol(eps,op); }

 73:   PetscOptionsTail();
 74:   return(0);
 75: }

 77: PetscErrorCode EPSSetDefaultST_JD(EPS eps)
 78: {
 80:   KSP            ksp;

 83:   if (!((PetscObject)eps->st)->type_name) {
 84:     STSetType(eps->st,STPRECOND);
 85:     STPrecondSetKSPHasMat(eps->st,PETSC_TRUE);
 86:   }
 87:   STGetKSP(eps->st,&ksp);
 88:   if (!((PetscObject)ksp)->type_name) {
 89:     KSPSetType(ksp,KSPBCGSL);
 90:     KSPSetTolerances(ksp,1e-4,PETSC_DEFAULT,PETSC_DEFAULT,90);
 91:   }
 92:   return(0);
 93: }

 95: PetscErrorCode EPSSetUp_JD(EPS eps)
 96: {
 98:   PetscBool      t;
 99:   KSP            ksp;

102:   /* Setup common for all davidson solvers */
103:   EPSSetUp_XD(eps);

105:   /* Check some constraints */
106:   STGetKSP(eps->st,&ksp);
107:   PetscObjectTypeCompare((PetscObject)ksp,KSPPREONLY,&t);
108:   if (t) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"EPSJD does not work with KSPPREONLY");
109:   return(0);
110: }

112: PetscErrorCode EPSView_JD(EPS eps,PetscViewer viewer)
113: {
115:   PetscBool      isascii,opb;
116:   PetscInt       opi,opi0;
117:   PetscBool      borth;

120:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);
121:   if (isascii) {
122:     EPSXDGetBOrth_XD(eps,&borth);
123:     if (borth) {
124:       PetscViewerASCIIPrintf(viewer,"  search subspace is B-orthogonalized\n");
125:     } else {
126:       PetscViewerASCIIPrintf(viewer,"  search subspace is orthogonalized\n");
127:     }
128:     EPSXDGetBlockSize_XD(eps,&opi);
129:     PetscViewerASCIIPrintf(viewer,"  block size=%D\n",opi);
130:     EPSXDGetKrylovStart_XD(eps,&opb);
131:     if (!opb) {
132:       PetscViewerASCIIPrintf(viewer,"  type of the initial subspace: non-Krylov\n");
133:     } else {
134:       PetscViewerASCIIPrintf(viewer,"  type of the initial subspace: Krylov\n");
135:     }
136:     EPSXDGetRestart_XD(eps,&opi,&opi0);
137:     PetscViewerASCIIPrintf(viewer,"  size of the subspace after restarting: %D\n",opi);
138:     PetscViewerASCIIPrintf(viewer,"  number of vectors after restarting from the previous iteration: %D\n",opi0);
139:   }
140:   return(0);
141: }

143: PetscErrorCode EPSDestroy_JD(EPS eps)
144: {
145:   PetscErrorCode  ierr;

148:   PetscFree(eps->data);
149:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetKrylovStart_C",NULL);
150:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetKrylovStart_C",NULL);
151:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetBlockSize_C",NULL);
152:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetBlockSize_C",NULL);
153:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetRestart_C",NULL);
154:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetRestart_C",NULL);
155:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetInitialSize_C",NULL);
156:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetInitialSize_C",NULL);
157:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetFix_C",NULL);
158:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetFix_C",NULL);
159:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetConstCorrectionTol_C",NULL);
160:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetConstCorrectionTol_C",NULL);
161:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetBOrth_C",NULL);
162:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetBOrth_C",NULL);
163:   return(0);
164: }

166: /*@
167:    EPSJDSetKrylovStart - Activates or deactivates starting the searching
168:    subspace with a Krylov basis.

170:    Logically Collective on EPS

172:    Input Parameters:
173: +  eps - the eigenproblem solver context
174: -  krylovstart - boolean flag

176:    Options Database Key:
177: .  -eps_jd_krylov_start - Activates starting the searching subspace with a
178:     Krylov basis

180:    Level: advanced

182: .seealso: EPSJDGetKrylovStart()
183: @*/
184: PetscErrorCode EPSJDSetKrylovStart(EPS eps,PetscBool krylovstart)
185: {

191:   PetscTryMethod(eps,"EPSJDSetKrylovStart_C",(EPS,PetscBool),(eps,krylovstart));
192:   return(0);
193: }

195: /*@
196:    EPSJDGetKrylovStart - Returns a flag indicating if the searching subspace is started with a
197:    Krylov basis.

199:    Not Collective

201:    Input Parameter:
202: .  eps - the eigenproblem solver context

204:    Output Parameters:
205: .  krylovstart - boolean flag indicating if the searching subspace is started
206:    with a Krylov basis

208:    Level: advanced

210: .seealso: EPSJDGetKrylovStart()
211: @*/
212: PetscErrorCode EPSJDGetKrylovStart(EPS eps,PetscBool *krylovstart)
213: {

219:   PetscUseMethod(eps,"EPSJDGetKrylovStart_C",(EPS,PetscBool*),(eps,krylovstart));
220:   return(0);
221: }

223: /*@
224:    EPSJDSetBlockSize - Sets the number of vectors to be added to the searching space
225:    in every iteration.

227:    Logically Collective on EPS

229:    Input Parameters:
230: +  eps - the eigenproblem solver context
231: -  blocksize - number of vectors added to the search space in every iteration

233:    Options Database Key:
234: .  -eps_jd_blocksize - number of vectors added to the searching space every iteration

236:    Level: advanced

238: .seealso: EPSJDSetKrylovStart()
239: @*/
240: PetscErrorCode EPSJDSetBlockSize(EPS eps,PetscInt blocksize)
241: {

247:   PetscTryMethod(eps,"EPSJDSetBlockSize_C",(EPS,PetscInt),(eps,blocksize));
248:   return(0);
249: }

251: /*@
252:    EPSJDGetBlockSize - Returns the number of vectors to be added to the searching space
253:    in every iteration.

255:    Not Collective

257:    Input Parameter:
258: .  eps - the eigenproblem solver context

260:    Output Parameter:
261: .  blocksize - number of vectors added to the search space in every iteration

263:    Level: advanced

265: .seealso: EPSJDSetBlockSize()
266: @*/
267: PetscErrorCode EPSJDGetBlockSize(EPS eps,PetscInt *blocksize)
268: {

274:   PetscUseMethod(eps,"EPSJDGetBlockSize_C",(EPS,PetscInt*),(eps,blocksize));
275:   return(0);
276: }

278: /*@
279:    EPSJDSetRestart - Sets the number of vectors of the searching space after
280:    restarting and the number of vectors saved from the previous iteration.

282:    Logically Collective on EPS

284:    Input Parameters:
285: +  eps - the eigenproblem solver context
286: .  minv - number of vectors of the searching subspace after restarting
287: -  plusk - number of vectors saved from the previous iteration

289:    Options Database Keys:
290: +  -eps_jd_minv - number of vectors of the searching subspace after restarting
291: -  -eps_jd_plusk - number of vectors saved from the previous iteration

293:    Level: advanced

295: .seealso: EPSJDGetRestart()
296: @*/
297: PetscErrorCode EPSJDSetRestart(EPS eps,PetscInt minv,PetscInt plusk)
298: {

305:   PetscTryMethod(eps,"EPSJDSetRestart_C",(EPS,PetscInt,PetscInt),(eps,minv,plusk));
306:   return(0);
307: }

309: /*@
310:    EPSJDGetRestart - Gets the number of vectors of the searching space after
311:    restarting and the number of vectors saved from the previous iteration.

313:    Not Collective

315:    Input Parameter:
316: .  eps - the eigenproblem solver context

318:    Output Parameter:
319: +  minv - number of vectors of the searching subspace after restarting
320: -  plusk - number of vectors saved from the previous iteration

322:    Level: advanced

324: .seealso: EPSJDSetRestart()
325: @*/
326: PetscErrorCode EPSJDGetRestart(EPS eps,PetscInt *minv,PetscInt *plusk)
327: {

332:   PetscUseMethod(eps,"EPSJDGetRestart_C",(EPS,PetscInt*,PetscInt*),(eps,minv,plusk));
333:   return(0);
334: }

336: /*@
337:    EPSJDSetInitialSize - Sets the initial size of the searching space.

339:    Logically Collective on EPS

341:    Input Parameters:
342: +  eps - the eigenproblem solver context
343: -  initialsize - number of vectors of the initial searching subspace

345:    Options Database Key:
346: .  -eps_jd_initial_size - number of vectors of the initial searching subspace

348:    Notes:
349:    If EPSJDGetKrylovStart() is PETSC_FALSE and the user provides vectors with
350:    EPSSetInitialSpace(), up to initialsize vectors will be used; and if the
351:    provided vectors are not enough, the solver completes the subspace with
352:    random vectors. In the case of EPSJDGetKrylovStart() being PETSC_TRUE, the solver
353:    gets the first vector provided by the user or, if not available, a random vector,
354:    and expands the Krylov basis up to initialsize vectors.

356:    Level: advanced

358: .seealso: EPSJDGetInitialSize(), EPSJDGetKrylovStart()
359: @*/
360: PetscErrorCode EPSJDSetInitialSize(EPS eps,PetscInt initialsize)
361: {

367:   PetscTryMethod(eps,"EPSJDSetInitialSize_C",(EPS,PetscInt),(eps,initialsize));
368:   return(0);
369: }

371: /*@
372:    EPSJDGetInitialSize - Returns the initial size of the searching space.

374:    Not Collective

376:    Input Parameter:
377: .  eps - the eigenproblem solver context

379:    Output Parameter:
380: .  initialsize - number of vectors of the initial searching subspace

382:    Notes:
383:    If EPSJDGetKrylovStart() is PETSC_FALSE and the user provides vectors with
384:    EPSSetInitialSpace(), up to initialsize vectors will be used; and if the
385:    provided vectors are not enough, the solver completes the subspace with
386:    random vectors. In the case of EPSJDGetKrylovStart() being PETSC_TRUE, the solver
387:    gets the first vector provided by the user or, if not available, a random vector,
388:    and expands the Krylov basis up to initialsize vectors.

390:    Level: advanced

392: .seealso: EPSJDSetInitialSize(), EPSJDGetKrylovStart()
393: @*/
394: PetscErrorCode EPSJDGetInitialSize(EPS eps,PetscInt *initialsize)
395: {

401:   PetscUseMethod(eps,"EPSJDGetInitialSize_C",(EPS,PetscInt*),(eps,initialsize));
402:   return(0);
403: }

405: PetscErrorCode EPSJDSetFix_JD(EPS eps,PetscReal fix)
406: {
407:   EPS_DAVIDSON *data = (EPS_DAVIDSON*)eps->data;

410:   if (fix == PETSC_DEFAULT || fix == PETSC_DECIDE) fix = 0.01;
411:   if (fix < 0.0) SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Invalid fix value");
412:   data->fix = fix;
413:   return(0);
414: }

416: /*@
417:    EPSJDSetFix - Sets the threshold for changing the target in the correction
418:    equation.

420:    Logically Collective on EPS

422:    Input Parameters:
423: +  eps - the eigenproblem solver context
424: -  fix - threshold for changing the target

426:    Options Database Key:
427: .  -eps_jd_fix - the fix value

429:    Note:
430:    The target in the correction equation is fixed at the first iterations.
431:    When the norm of the residual vector is lower than the fix value,
432:    the target is set to the corresponding eigenvalue.

434:    Level: advanced

436: .seealso: EPSJDGetFix()
437: @*/
438: PetscErrorCode EPSJDSetFix(EPS eps,PetscReal fix)
439: {

445:   PetscTryMethod(eps,"EPSJDSetFix_C",(EPS,PetscReal),(eps,fix));
446:   return(0);
447: }

449: PetscErrorCode EPSJDGetFix_JD(EPS eps,PetscReal *fix)
450: {
451:   EPS_DAVIDSON *data = (EPS_DAVIDSON*)eps->data;

454:   *fix = data->fix;
455:   return(0);
456: }

458: /*@
459:    EPSJDGetFix - Returns the threshold for changing the target in the correction
460:    equation.

462:    Not Collective

464:    Input Parameter:
465: .  eps - the eigenproblem solver context

467:    Output Parameter:
468: .  fix - threshold for changing the target

470:    Note:
471:    The target in the correction equation is fixed at the first iterations.
472:    When the norm of the residual vector is lower than the fix value,
473:    the target is set to the corresponding eigenvalue.

475:    Level: advanced

477: .seealso: EPSJDSetFix()
478: @*/
479: PetscErrorCode EPSJDGetFix(EPS eps,PetscReal *fix)
480: {

486:   PetscUseMethod(eps,"EPSJDGetFix_C",(EPS,PetscReal*),(eps,fix));
487:   return(0);
488: }

490: PetscErrorCode EPSJDSetConstCorrectionTol_JD(EPS eps,PetscBool constant)
491: {
492:   EPS_DAVIDSON *data = (EPS_DAVIDSON*)eps->data;

495:   data->dynamic = PetscNot(constant);
496:   return(0);
497: }

499: /*@
500:    EPSJDSetConstCorrectionTol - If true, deactivates the dynamic stopping criterion
501:    (also called Newton) that sets the KSP relative tolerance
502:    to 0.5**i, where i is the number of EPS iterations from the last converged value.

504:    Logically Collective on EPS

506:    Input Parameters:
507: +  eps - the eigenproblem solver context
508: -  constant - if false, the KSP relative tolerance is set to 0.5**i.

510:    Options Database Key:
511: .  -eps_jd_const_correction_tol - Deactivates the dynamic stopping criterion.

513:    Level: advanced

515: .seealso: EPSJDGetConstCorrectionTol()
516: @*/
517: PetscErrorCode EPSJDSetConstCorrectionTol(EPS eps,PetscBool constant)
518: {

524:   PetscTryMethod(eps,"EPSJDSetConstCorrectionTol_C",(EPS,PetscBool),(eps,constant));
525:   return(0);
526: }

528: PetscErrorCode EPSJDGetConstCorrectionTol_JD(EPS eps,PetscBool *constant)
529: {
530:   EPS_DAVIDSON *data = (EPS_DAVIDSON*)eps->data;

533:   *constant = PetscNot(data->dynamic);
534:   return(0);
535: }

537: /*@
538:    EPSJDGetConstCorrectionTol - Returns a flag indicating if the dynamic stopping is being used for
539:    solving the correction equation. If the flag is false the KSP relative tolerance is set
540:    to 0.5**i, where i is the number of EPS iterations from the last converged value.

542:    Not Collective

544:    Input Parameter:
545: .  eps - the eigenproblem solver context

547:    Output Parameters:
548: .  constant - boolean flag indicating if the dynamic stopping criterion is not being used.

550:    Level: advanced

552: .seealso: EPSJDGetConstCorrectionTol()
553: @*/
554: PetscErrorCode EPSJDGetConstCorrectionTol(EPS eps,PetscBool *constant)
555: {

561:   PetscUseMethod(eps,"EPSJDGetConstCorrectionTol_C",(EPS,PetscBool*),(eps,constant));
562:   return(0);
563: }

565: /*@
566:    EPSJDSetBOrth - Selects the orthogonalization that will be used in the search
567:    subspace in case of generalized Hermitian problems.

569:    Logically Collective on EPS

571:    Input Parameters:
572: +  eps   - the eigenproblem solver context
573: -  borth - whether to B-orthogonalize the search subspace

575:    Options Database Key:
576: .  -eps_jd_borth - Set the orthogonalization used in the search subspace

578:    Level: advanced

580: .seealso: EPSJDGetBOrth()
581: @*/
582: PetscErrorCode EPSJDSetBOrth(EPS eps,PetscBool borth)
583: {

589:   PetscTryMethod(eps,"EPSJDSetBOrth_C",(EPS,PetscBool),(eps,borth));
590:   return(0);
591: }

593: /*@
594:    EPSJDGetBOrth - Returns the orthogonalization used in the search
595:    subspace in case of generalized Hermitian problems.

597:    Not Collective

599:    Input Parameter:
600: .  eps - the eigenproblem solver context

602:    Output Parameters:
603: .  borth - whether to B-orthogonalize the search subspace

605:    Level: advanced

607: .seealso: EPSJDSetBOrth()
608: @*/
609: PetscErrorCode EPSJDGetBOrth(EPS eps,PetscBool *borth)
610: {

616:   PetscUseMethod(eps,"EPSJDGetBOrth_C",(EPS,PetscBool*),(eps,borth));
617:   return(0);
618: }

620: PETSC_EXTERN PetscErrorCode EPSCreate_JD(EPS eps)
621: {
623:   EPS_DAVIDSON   *data;

626:   PetscNewLog(eps,&data);
627:   eps->data = (void*)data;

629:   data->blocksize   = 1;
630:   data->initialsize = 6;
631:   data->minv        = 6;
632:   data->plusk       = PETSC_DEFAULT;
633:   data->ipB         = PETSC_TRUE;
634:   data->fix         = 0.01;
635:   data->krylovstart = PETSC_FALSE;
636:   data->dynamic     = PETSC_FALSE;

638:   eps->useds = PETSC_TRUE;
639:   eps->categ = EPS_CATEGORY_PRECOND;

641:   eps->ops->solve          = EPSSolve_XD;
642:   eps->ops->setup          = EPSSetUp_JD;
643:   eps->ops->setfromoptions = EPSSetFromOptions_JD;
644:   eps->ops->destroy        = EPSDestroy_JD;
645:   eps->ops->reset          = EPSReset_XD;
646:   eps->ops->view           = EPSView_JD;
647:   eps->ops->backtransform  = EPSBackTransform_Default;
648:   eps->ops->computevectors = EPSComputeVectors_XD;
649:   eps->ops->setdefaultst   = EPSSetDefaultST_JD;

651:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetKrylovStart_C",EPSXDSetKrylovStart_XD);
652:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetKrylovStart_C",EPSXDGetKrylovStart_XD);
653:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetBlockSize_C",EPSXDSetBlockSize_XD);
654:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetBlockSize_C",EPSXDGetBlockSize_XD);
655:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetRestart_C",EPSXDSetRestart_XD);
656:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetRestart_C",EPSXDGetRestart_XD);
657:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetInitialSize_C",EPSXDSetInitialSize_XD);
658:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetInitialSize_C",EPSXDGetInitialSize_XD);
659:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetFix_C",EPSJDSetFix_JD);
660:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetFix_C",EPSJDGetFix_JD);
661:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetConstCorrectionTol_C",EPSJDSetConstCorrectionTol_JD);
662:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetConstCorrectionTol_C",EPSJDGetConstCorrectionTol_JD);
663:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDSetBOrth_C",EPSXDSetBOrth_XD);
664:   PetscObjectComposeFunction((PetscObject)eps,"EPSJDGetBOrth_C",EPSXDGetBOrth_XD);
665:   return(0);
666: }