Date: 2024-09-25T09:33:49+00:00

Actual source code: nepbasic.c
slepc-3.21.2 2024-09-25
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-, 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:    Basic NEP routines
     12: */

     14: #include <slepc/private/nepimpl.h>

     16: /* Logging support */
     17: PetscClassId      NEP_CLASSID = 0;
     18: PetscLogEvent     NEP_SetUp = 0,NEP_Solve = 0,NEP_Refine = 0,NEP_FunctionEval = 0,NEP_JacobianEval = 0,NEP_Resolvent = 0,NEP_CISS_SVD = 0;

     20: /* List of registered NEP routines */
     21: PetscFunctionList NEPList = NULL;
     22: PetscBool         NEPRegisterAllCalled = PETSC_FALSE;

     24: /* List of registered NEP monitors */
     25: PetscFunctionList NEPMonitorList              = NULL;
     26: PetscFunctionList NEPMonitorCreateList        = NULL;
     27: PetscFunctionList NEPMonitorDestroyList       = NULL;
     28: PetscBool         NEPMonitorRegisterAllCalled = PETSC_FALSE;

     30: /*@
     31:    NEPCreate - Creates the default NEP context.

     33:    Collective

     35:    Input Parameter:
     36: .  comm - MPI communicator

     38:    Output Parameter:
     39: .  outnep - location to put the NEP context

     41:    Level: beginner

     43: .seealso: NEPSetUp(), NEPSolve(), NEPDestroy(), NEP
     44: @*/
     45: PetscErrorCode NEPCreate(MPI_Comm comm,NEP *outnep)
     46: {
     47:   NEP            nep;

     49:   PetscFunctionBegin;
     50:   PetscAssertPointer(outnep,2);
     51:   *outnep = NULL;
     52:   PetscCall(NEPInitializePackage());
     53:   PetscCall(SlepcHeaderCreate(nep,NEP_CLASSID,"NEP","Nonlinear Eigenvalue Problem","NEP",comm,NEPDestroy,NEPView));

     55:   nep->max_it          = PETSC_DEFAULT;
     56:   nep->nev             = 1;
     57:   nep->ncv             = PETSC_DEFAULT;
     58:   nep->mpd             = PETSC_DEFAULT;
     59:   nep->nini            = 0;
     60:   nep->target          = 0.0;
     61:   nep->tol             = PETSC_DEFAULT;
     62:   nep->conv            = NEP_CONV_REL;
     63:   nep->stop            = NEP_STOP_BASIC;
     64:   nep->which           = (NEPWhich)0;
     65:   nep->problem_type    = (NEPProblemType)0;
     66:   nep->refine          = NEP_REFINE_NONE;
     67:   nep->npart           = 1;
     68:   nep->rtol            = PETSC_DEFAULT;
     69:   nep->rits            = PETSC_DEFAULT;
     70:   nep->scheme          = (NEPRefineScheme)0;
     71:   nep->trackall        = PETSC_FALSE;
     72:   nep->twosided        = PETSC_FALSE;

     74:   nep->computefunction = NULL;
     75:   nep->computejacobian = NULL;
     76:   nep->functionctx     = NULL;
     77:   nep->jacobianctx     = NULL;
     78:   nep->converged       = NEPConvergedRelative;
     79:   nep->convergeduser   = NULL;
     80:   nep->convergeddestroy= NULL;
     81:   nep->stopping        = NEPStoppingBasic;
     82:   nep->stoppinguser    = NULL;
     83:   nep->stoppingdestroy = NULL;
     84:   nep->convergedctx    = NULL;
     85:   nep->stoppingctx     = NULL;
     86:   nep->numbermonitors  = 0;

     88:   nep->ds              = NULL;
     89:   nep->V               = NULL;
     90:   nep->W               = NULL;
     91:   nep->rg              = NULL;
     92:   nep->function        = NULL;
     93:   nep->function_pre    = NULL;
     94:   nep->jacobian        = NULL;
     95:   nep->A               = NULL;
     96:   nep->f               = NULL;
     97:   nep->nt              = 0;
     98:   nep->mstr            = UNKNOWN_NONZERO_PATTERN;
     99:   nep->P               = NULL;
    100:   nep->mstrp           = UNKNOWN_NONZERO_PATTERN;
    101:   nep->IS              = NULL;
    102:   nep->eigr            = NULL;
    103:   nep->eigi            = NULL;
    104:   nep->errest          = NULL;
    105:   nep->perm            = NULL;
    106:   nep->nwork           = 0;
    107:   nep->work            = NULL;
    108:   nep->data            = NULL;

    110:   nep->state           = NEP_STATE_INITIAL;
    111:   nep->nconv           = 0;
    112:   nep->its             = 0;
    113:   nep->n               = 0;
    114:   nep->nloc            = 0;
    115:   nep->nrma            = NULL;
    116:   nep->fui             = (NEPUserInterface)0;
    117:   nep->useds           = PETSC_FALSE;
    118:   nep->resolvent       = NULL;
    119:   nep->reason          = NEP_CONVERGED_ITERATING;

    121:   PetscCall(PetscNew(&nep->sc));
    122:   *outnep = nep;
    123:   PetscFunctionReturn(PETSC_SUCCESS);
    124: }

    126: /*@C
    127:    NEPSetType - Selects the particular solver to be used in the NEP object.

    129:    Logically Collective

    131:    Input Parameters:
    132: +  nep      - the nonlinear eigensolver context
    133: -  type     - a known method

    135:    Options Database Key:
    136: .  -nep_type <method> - Sets the method; use -help for a list
    137:     of available methods

    139:    Notes:
    140:    See "slepc/include/slepcnep.h" for available methods.

    142:    Normally, it is best to use the NEPSetFromOptions() command and
    143:    then set the NEP type from the options database rather than by using
    144:    this routine.  Using the options database provides the user with
    145:    maximum flexibility in evaluating the different available methods.
    146:    The NEPSetType() routine is provided for those situations where it
    147:    is necessary to set the iterative solver independently of the command
    148:    line or options database.

    150:    Level: intermediate

    152: .seealso: NEPType
    153: @*/
    154: PetscErrorCode NEPSetType(NEP nep,NEPType type)
    155: {
    156:   PetscErrorCode (*r)(NEP);
    157:   PetscBool      match;

    159:   PetscFunctionBegin;
    161:   PetscAssertPointer(type,2);

    163:   PetscCall(PetscObjectTypeCompare((PetscObject)nep,type,&match));
    164:   if (match) PetscFunctionReturn(PETSC_SUCCESS);

    166:   PetscCall(PetscFunctionListFind(NEPList,type,&r));
    167:   PetscCheck(r,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown NEP type given: %s",type);

    169:   PetscTryTypeMethod(nep,destroy);
    170:   PetscCall(PetscMemzero(nep->ops,sizeof(struct _NEPOps)));

    172:   nep->state = NEP_STATE_INITIAL;
    173:   PetscCall(PetscObjectChangeTypeName((PetscObject)nep,type));
    174:   PetscCall((*r)(nep));
    175:   PetscFunctionReturn(PETSC_SUCCESS);
    176: }

    178: /*@C
    179:    NEPGetType - Gets the NEP type as a string from the NEP object.

    181:    Not Collective

    183:    Input Parameter:
    184: .  nep - the eigensolver context

    186:    Output Parameter:
    187: .  type - name of NEP method

    189:    Level: intermediate

    191: .seealso: NEPSetType()
    192: @*/
    193: PetscErrorCode NEPGetType(NEP nep,NEPType *type)
    194: {
    195:   PetscFunctionBegin;
    197:   PetscAssertPointer(type,2);
    198:   *type = ((PetscObject)nep)->type_name;
    199:   PetscFunctionReturn(PETSC_SUCCESS);
    200: }

    202: /*@C
    203:    NEPRegister - Adds a method to the nonlinear eigenproblem solver package.

    205:    Not Collective

    207:    Input Parameters:
    208: +  name - name of a new user-defined solver
    209: -  function - routine to create the solver context

    211:    Notes:
    212:    NEPRegister() may be called multiple times to add several user-defined solvers.

    214:    Example Usage:
    215: .vb
    216:     NEPRegister("my_solver",MySolverCreate);
    217: .ve

    219:    Then, your solver can be chosen with the procedural interface via
    220: $     NEPSetType(nep,"my_solver")
    221:    or at runtime via the option
    222: $     -nep_type my_solver

    224:    Level: advanced

    226: .seealso: NEPRegisterAll()
    227: @*/
    228: PetscErrorCode NEPRegister(const char *name,PetscErrorCode (*function)(NEP))
    229: {
    230:   PetscFunctionBegin;
    231:   PetscCall(NEPInitializePackage());
    232:   PetscCall(PetscFunctionListAdd(&NEPList,name,function));
    233:   PetscFunctionReturn(PETSC_SUCCESS);
    234: }

    236: /*@C
    237:    NEPMonitorRegister - Adds NEP monitor routine.

    239:    Not Collective

    241:    Input Parameters:
    242: +  name    - name of a new monitor routine
    243: .  vtype   - a PetscViewerType for the output
    244: .  format  - a PetscViewerFormat for the output
    245: .  monitor - monitor routine
    246: .  create  - creation routine, or NULL
    247: -  destroy - destruction routine, or NULL

    249:    Notes:
    250:    NEPMonitorRegister() may be called multiple times to add several user-defined monitors.

    252:    Example Usage:
    253: .vb
    254:    NEPMonitorRegister("my_monitor",PETSCVIEWERASCII,PETSC_VIEWER_ASCII_INFO_DETAIL,MyMonitor,NULL,NULL);
    255: .ve

    257:    Then, your monitor can be chosen with the procedural interface via
    258: $      NEPMonitorSetFromOptions(nep,"-nep_monitor_my_monitor","my_monitor",NULL)
    259:    or at runtime via the option
    260: $      -nep_monitor_my_monitor

    262:    Level: advanced

    264: .seealso: NEPMonitorRegisterAll()
    265: @*/
    266: PetscErrorCode NEPMonitorRegister(const char name[],PetscViewerType vtype,PetscViewerFormat format,PetscErrorCode (*monitor)(NEP,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscReal*,PetscInt,PetscViewerAndFormat*),PetscErrorCode (*create)(PetscViewer,PetscViewerFormat,void*,PetscViewerAndFormat**),PetscErrorCode (*destroy)(PetscViewerAndFormat**))
    267: {
    268:   char           key[PETSC_MAX_PATH_LEN];

    270:   PetscFunctionBegin;
    271:   PetscCall(NEPInitializePackage());
    272:   PetscCall(SlepcMonitorMakeKey_Internal(name,vtype,format,key));
    273:   PetscCall(PetscFunctionListAdd(&NEPMonitorList,key,monitor));
    274:   if (create)  PetscCall(PetscFunctionListAdd(&NEPMonitorCreateList,key,create));
    275:   if (destroy) PetscCall(PetscFunctionListAdd(&NEPMonitorDestroyList,key,destroy));
    276:   PetscFunctionReturn(PETSC_SUCCESS);
    277: }

    279: /*
    280:    NEPReset_Problem - Destroys the problem matrices.
    281: */
    282: PetscErrorCode NEPReset_Problem(NEP nep)
    283: {
    284:   PetscInt       i;

    286:   PetscFunctionBegin;
    288:   PetscCall(MatDestroy(&nep->function));
    289:   PetscCall(MatDestroy(&nep->function_pre));
    290:   PetscCall(MatDestroy(&nep->jacobian));
    291:   if (nep->fui==NEP_USER_INTERFACE_SPLIT) {
    292:     PetscCall(MatDestroyMatrices(nep->nt,&nep->A));
    293:     for (i=0;i<nep->nt;i++) PetscCall(FNDestroy(&nep->f[i]));
    294:     PetscCall(PetscFree(nep->f));
    295:     PetscCall(PetscFree(nep->nrma));
    296:     if (nep->P) PetscCall(MatDestroyMatrices(nep->nt,&nep->P));
    297:     nep->nt = 0;
    298:   }
    299:   PetscFunctionReturn(PETSC_SUCCESS);
    300: }
    301: /*@
    302:    NEPReset - Resets the NEP context to the initial state (prior to setup)
    303:    and destroys any allocated Vecs and Mats.

    305:    Collective

    307:    Input Parameter:
    308: .  nep - eigensolver context obtained from NEPCreate()

    310:    Level: advanced

    312: .seealso: NEPDestroy()
    313: @*/
    314: PetscErrorCode NEPReset(NEP nep)
    315: {
    316:   PetscFunctionBegin;
    318:   if (!nep) PetscFunctionReturn(PETSC_SUCCESS);
    319:   PetscTryTypeMethod(nep,reset);
    320:   if (nep->refineksp) PetscCall(KSPReset(nep->refineksp));
    321:   PetscCall(NEPReset_Problem(nep));
    322:   PetscCall(BVDestroy(&nep->V));
    323:   PetscCall(BVDestroy(&nep->W));
    324:   PetscCall(VecDestroyVecs(nep->nwork,&nep->work));
    325:   PetscCall(MatDestroy(&nep->resolvent));
    326:   nep->nwork = 0;
    327:   nep->state = NEP_STATE_INITIAL;
    328:   PetscFunctionReturn(PETSC_SUCCESS);
    329: }

    331: /*@C
    332:    NEPDestroy - Destroys the NEP context.

    334:    Collective

    336:    Input Parameter:
    337: .  nep - eigensolver context obtained from NEPCreate()

    339:    Level: beginner

    341: .seealso: NEPCreate(), NEPSetUp(), NEPSolve()
    342: @*/
    343: PetscErrorCode NEPDestroy(NEP *nep)
    344: {
    345:   PetscFunctionBegin;
    346:   if (!*nep) PetscFunctionReturn(PETSC_SUCCESS);
    348:   if (--((PetscObject)*nep)->refct > 0) { *nep = NULL; PetscFunctionReturn(PETSC_SUCCESS); }
    349:   PetscCall(NEPReset(*nep));
    350:   PetscTryTypeMethod(*nep,destroy);
    351:   if ((*nep)->eigr) PetscCall(PetscFree4((*nep)->eigr,(*nep)->eigi,(*nep)->errest,(*nep)->perm));
    352:   PetscCall(RGDestroy(&(*nep)->rg));
    353:   PetscCall(DSDestroy(&(*nep)->ds));
    354:   PetscCall(KSPDestroy(&(*nep)->refineksp));
    355:   PetscCall(PetscSubcommDestroy(&(*nep)->refinesubc));
    356:   PetscCall(PetscFree((*nep)->sc));
    357:   /* just in case the initial vectors have not been used */
    358:   PetscCall(SlepcBasisDestroy_Private(&(*nep)->nini,&(*nep)->IS));
    359:   if ((*nep)->convergeddestroy) PetscCall((*(*nep)->convergeddestroy)((*nep)->convergedctx));
    360:   PetscCall(NEPMonitorCancel(*nep));
    361:   PetscCall(PetscHeaderDestroy(nep));
    362:   PetscFunctionReturn(PETSC_SUCCESS);
    363: }

    365: /*@
    366:    NEPSetBV - Associates a basis vectors object to the nonlinear eigensolver.

    368:    Collective

    370:    Input Parameters:
    371: +  nep - eigensolver context obtained from NEPCreate()
    372: -  bv  - the basis vectors object

    374:    Note:
    375:    Use NEPGetBV() to retrieve the basis vectors context (for example,
    376:    to free it at the end of the computations).

    378:    Level: advanced

    380: .seealso: NEPGetBV()
    381: @*/
    382: PetscErrorCode NEPSetBV(NEP nep,BV bv)
    383: {
    384:   PetscFunctionBegin;
    387:   PetscCheckSameComm(nep,1,bv,2);
    388:   PetscCall(PetscObjectReference((PetscObject)bv));
    389:   PetscCall(BVDestroy(&nep->V));
    390:   nep->V = bv;
    391:   PetscFunctionReturn(PETSC_SUCCESS);
    392: }

    394: /*@
    395:    NEPGetBV - Obtain the basis vectors object associated to the nonlinear
    396:    eigensolver object.

    398:    Not Collective

    400:    Input Parameters:
    401: .  nep - eigensolver context obtained from NEPCreate()

    403:    Output Parameter:
    404: .  bv - basis vectors context

    406:    Level: advanced

    408: .seealso: NEPSetBV()
    409: @*/
    410: PetscErrorCode NEPGetBV(NEP nep,BV *bv)
    411: {
    412:   PetscFunctionBegin;
    414:   PetscAssertPointer(bv,2);
    415:   if (!nep->V) {
    416:     PetscCall(BVCreate(PetscObjectComm((PetscObject)nep),&nep->V));
    417:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)nep->V,(PetscObject)nep,0));
    418:     PetscCall(PetscObjectSetOptions((PetscObject)nep->V,((PetscObject)nep)->options));
    419:   }
    420:   *bv = nep->V;
    421:   PetscFunctionReturn(PETSC_SUCCESS);
    422: }

    424: /*@
    425:    NEPSetRG - Associates a region object to the nonlinear eigensolver.

    427:    Collective

    429:    Input Parameters:
    430: +  nep - eigensolver context obtained from NEPCreate()
    431: -  rg  - the region object

    433:    Note:
    434:    Use NEPGetRG() to retrieve the region context (for example,
    435:    to free it at the end of the computations).

    437:    Level: advanced

    439: .seealso: NEPGetRG()
    440: @*/
    441: PetscErrorCode NEPSetRG(NEP nep,RG rg)
    442: {
    443:   PetscFunctionBegin;
    445:   if (rg) {
    447:     PetscCheckSameComm(nep,1,rg,2);
    448:   }
    449:   PetscCall(PetscObjectReference((PetscObject)rg));
    450:   PetscCall(RGDestroy(&nep->rg));
    451:   nep->rg = rg;
    452:   PetscFunctionReturn(PETSC_SUCCESS);
    453: }

    455: /*@
    456:    NEPGetRG - Obtain the region object associated to the
    457:    nonlinear eigensolver object.

    459:    Not Collective

    461:    Input Parameters:
    462: .  nep - eigensolver context obtained from NEPCreate()

    464:    Output Parameter:
    465: .  rg - region context

    467:    Level: advanced

    469: .seealso: NEPSetRG()
    470: @*/
    471: PetscErrorCode NEPGetRG(NEP nep,RG *rg)
    472: {
    473:   PetscFunctionBegin;
    475:   PetscAssertPointer(rg,2);
    476:   if (!nep->rg) {
    477:     PetscCall(RGCreate(PetscObjectComm((PetscObject)nep),&nep->rg));
    478:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)nep->rg,(PetscObject)nep,0));
    479:     PetscCall(PetscObjectSetOptions((PetscObject)nep->rg,((PetscObject)nep)->options));
    480:   }
    481:   *rg = nep->rg;
    482:   PetscFunctionReturn(PETSC_SUCCESS);
    483: }

    485: /*@
    486:    NEPSetDS - Associates a direct solver object to the nonlinear eigensolver.

    488:    Collective

    490:    Input Parameters:
    491: +  nep - eigensolver context obtained from NEPCreate()
    492: -  ds  - the direct solver object

    494:    Note:
    495:    Use NEPGetDS() to retrieve the direct solver context (for example,
    496:    to free it at the end of the computations).

    498:    Level: advanced

    500: .seealso: NEPGetDS()
    501: @*/
    502: PetscErrorCode NEPSetDS(NEP nep,DS ds)
    503: {
    504:   PetscFunctionBegin;
    507:   PetscCheckSameComm(nep,1,ds,2);
    508:   PetscCall(PetscObjectReference((PetscObject)ds));
    509:   PetscCall(DSDestroy(&nep->ds));
    510:   nep->ds = ds;
    511:   PetscFunctionReturn(PETSC_SUCCESS);
    512: }

    514: /*@
    515:    NEPGetDS - Obtain the direct solver object associated to the
    516:    nonlinear eigensolver object.

    518:    Not Collective

    520:    Input Parameters:
    521: .  nep - eigensolver context obtained from NEPCreate()

    523:    Output Parameter:
    524: .  ds - direct solver context

    526:    Level: advanced

    528: .seealso: NEPSetDS()
    529: @*/
    530: PetscErrorCode NEPGetDS(NEP nep,DS *ds)
    531: {
    532:   PetscFunctionBegin;
    534:   PetscAssertPointer(ds,2);
    535:   if (!nep->ds) {
    536:     PetscCall(DSCreate(PetscObjectComm((PetscObject)nep),&nep->ds));
    537:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)nep->ds,(PetscObject)nep,0));
    538:     PetscCall(PetscObjectSetOptions((PetscObject)nep->ds,((PetscObject)nep)->options));
    539:   }
    540:   *ds = nep->ds;
    541:   PetscFunctionReturn(PETSC_SUCCESS);
    542: }

    544: /*@
    545:    NEPRefineGetKSP - Obtain the ksp object used by the eigensolver
    546:    object in the refinement phase.

    548:    Collective

    550:    Input Parameters:
    551: .  nep - eigensolver context obtained from NEPCreate()

    553:    Output Parameter:
    554: .  ksp - ksp context

    556:    Level: advanced

    558: .seealso: NEPSetRefine()
    559: @*/
    560: PetscErrorCode NEPRefineGetKSP(NEP nep,KSP *ksp)
    561: {
    562:   MPI_Comm       comm;

    564:   PetscFunctionBegin;
    566:   PetscAssertPointer(ksp,2);
    567:   if (!nep->refineksp) {
    568:     if (nep->npart>1) {
    569:       /* Split in subcomunicators */
    570:       PetscCall(PetscSubcommCreate(PetscObjectComm((PetscObject)nep),&nep->refinesubc));
    571:       PetscCall(PetscSubcommSetNumber(nep->refinesubc,nep->npart));
    572:       PetscCall(PetscSubcommSetType(nep->refinesubc,PETSC_SUBCOMM_CONTIGUOUS));
    573:       PetscCall(PetscSubcommGetChild(nep->refinesubc,&comm));
    574:     } else PetscCall(PetscObjectGetComm((PetscObject)nep,&comm));
    575:     PetscCall(KSPCreate(comm,&nep->refineksp));
    576:     PetscCall(PetscObjectIncrementTabLevel((PetscObject)nep->refineksp,(PetscObject)nep,0));
    577:     PetscCall(PetscObjectSetOptions((PetscObject)nep->refineksp,((PetscObject)nep)->options));
    578:     PetscCall(KSPSetOptionsPrefix(*ksp,((PetscObject)nep)->prefix));
    579:     PetscCall(KSPAppendOptionsPrefix(*ksp,"nep_refine_"));
    580:     PetscCall(KSPSetTolerances(nep->refineksp,SlepcDefaultTol(nep->rtol),PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT));
    581:   }
    582:   *ksp = nep->refineksp;
    583:   PetscFunctionReturn(PETSC_SUCCESS);
    584: }

    586: /*@
    587:    NEPSetTarget - Sets the value of the target.

    589:    Logically Collective

    591:    Input Parameters:
    592: +  nep    - eigensolver context
    593: -  target - the value of the target

    595:    Options Database Key:
    596: .  -nep_target <scalar> - the value of the target

    598:    Notes:
    599:    The target is a scalar value used to determine the portion of the spectrum
    600:    of interest. It is used in combination with NEPSetWhichEigenpairs().

    602:    In the case of complex scalars, a complex value can be provided in the
    603:    command line with [+/-][realnumber][+/-]realnumberi with no spaces, e.g.
    604:    -nep_target 1.0+2.0i

    606:    Level: intermediate

    608: .seealso: NEPGetTarget(), NEPSetWhichEigenpairs()
    609: @*/
    610: PetscErrorCode NEPSetTarget(NEP nep,PetscScalar target)
    611: {
    612:   PetscFunctionBegin;
    615:   nep->target = target;
    616:   PetscFunctionReturn(PETSC_SUCCESS);
    617: }

    619: /*@
    620:    NEPGetTarget - Gets the value of the target.

    622:    Not Collective

    624:    Input Parameter:
    625: .  nep - eigensolver context

    627:    Output Parameter:
    628: .  target - the value of the target

    630:    Note:
    631:    If the target was not set by the user, then zero is returned.

    633:    Level: intermediate

    635: .seealso: NEPSetTarget()
    636: @*/
    637: PetscErrorCode NEPGetTarget(NEP nep,PetscScalar* target)
    638: {
    639:   PetscFunctionBegin;
    641:   PetscAssertPointer(target,2);
    642:   *target = nep->target;
    643:   PetscFunctionReturn(PETSC_SUCCESS);
    644: }

    646: /*@C
    647:    NEPSetFunction - Sets the function to compute the nonlinear Function T(lambda)
    648:    as well as the location to store the matrix.

    650:    Collective

    652:    Input Parameters:
    653: +  nep - the NEP context
    654: .  A   - Function matrix
    655: .  B   - preconditioner matrix (usually same as A)
    656: .  fun - Function evaluation routine (if NULL then NEP retains any
    657:          previously set value)
    658: -  ctx - [optional] user-defined context for private data for the Function
    659:          evaluation routine (may be NULL) (if NULL then NEP retains any
    660:          previously set value)

    662:    Calling sequence of fun:
    663: $  PetscErrorCode fun(NEP nep,PetscScalar lambda,Mat T,Mat P,void *ctx)
    664: +  nep    - the NEP context
    665: .  lambda - the scalar argument where T(.) must be evaluated
    666: .  T      - matrix that will contain T(lambda)
    667: .  P      - (optional) different matrix to build the preconditioner
    668: -  ctx    - (optional) user-defined context, as set by NEPSetFunction()

    670:    Level: beginner

    672: .seealso: NEPGetFunction(), NEPSetJacobian()
    673: @*/
    674: PetscErrorCode NEPSetFunction(NEP nep,Mat A,Mat B,PetscErrorCode (*fun)(NEP nep,PetscScalar lambda,Mat T,Mat P,void *ctx),void *ctx)
    675: {
    676:   PetscFunctionBegin;
    680:   if (A) PetscCheckSameComm(nep,1,A,2);
    681:   if (B) PetscCheckSameComm(nep,1,B,3);

    683:   if (nep->state) PetscCall(NEPReset(nep));
    684:   else if (nep->fui && nep->fui!=NEP_USER_INTERFACE_CALLBACK) PetscCall(NEPReset_Problem(nep));

    686:   if (fun) nep->computefunction = fun;
    687:   if (ctx) nep->functionctx     = ctx;
    688:   if (A) {
    689:     PetscCall(PetscObjectReference((PetscObject)A));
    690:     PetscCall(MatDestroy(&nep->function));
    691:     nep->function = A;
    692:   }
    693:   if (B) {
    694:     PetscCall(PetscObjectReference((PetscObject)B));
    695:     PetscCall(MatDestroy(&nep->function_pre));
    696:     nep->function_pre = B;
    697:   }
    698:   nep->fui   = NEP_USER_INTERFACE_CALLBACK;
    699:   nep->state = NEP_STATE_INITIAL;
    700:   PetscFunctionReturn(PETSC_SUCCESS);
    701: }

    703: /*@C
    704:    NEPGetFunction - Returns the Function matrix and optionally the user
    705:    provided context for evaluating the Function.

    707:    Not Collective

    709:    Input Parameter:
    710: .  nep - the nonlinear eigensolver context

    712:    Output Parameters:
    713: +  A   - location to stash Function matrix (or NULL)
    714: .  B   - location to stash preconditioner matrix (or NULL)
    715: .  fun - location to put Function function (or NULL)
    716: -  ctx - location to stash Function context (or NULL)

    718:    Level: advanced

    720: .seealso: NEPSetFunction()
    721: @*/
    722: PetscErrorCode NEPGetFunction(NEP nep,Mat *A,Mat *B,PetscErrorCode (**fun)(NEP,PetscScalar,Mat,Mat,void*),void **ctx)
    723: {
    724:   PetscFunctionBegin;
    726:   NEPCheckCallback(nep,1);
    727:   if (A)   *A   = nep->function;
    728:   if (B)   *B   = nep->function_pre;
    729:   if (fun) *fun = nep->computefunction;
    730:   if (ctx) *ctx = nep->functionctx;
    731:   PetscFunctionReturn(PETSC_SUCCESS);
    732: }

    734: /*@C
    735:    NEPSetJacobian - Sets the function to compute the Jacobian T'(lambda) as well
    736:    as the location to store the matrix.

    738:    Collective

    740:    Input Parameters:
    741: +  nep - the NEP context
    742: .  A   - Jacobian matrix
    743: .  jac - Jacobian evaluation routine (if NULL then NEP retains any
    744:          previously set value)
    745: -  ctx - [optional] user-defined context for private data for the Jacobian
    746:          evaluation routine (may be NULL) (if NULL then NEP retains any
    747:          previously set value)

    749:    Calling sequence of jac:
    750: $  PetscErrorCode jac(NEP nep,PetscScalar lambda,Mat J,void *ctx)
    751: +  nep    - the NEP context
    752: .  lambda - the scalar argument where T'(.) must be evaluated
    753: .  J      - matrix that will contain T'(lambda)
    754: -  ctx    - (optional) user-defined context, as set by NEPSetJacobian()

    756:    Level: beginner

    758: .seealso: NEPSetFunction(), NEPGetJacobian()
    759: @*/
    760: PetscErrorCode NEPSetJacobian(NEP nep,Mat A,PetscErrorCode (*jac)(NEP nep,PetscScalar lambda,Mat J,void *ctx),void *ctx)
    761: {
    762:   PetscFunctionBegin;
    765:   if (A) PetscCheckSameComm(nep,1,A,2);

    767:   if (nep->state) PetscCall(NEPReset(nep));
    768:   else if (nep->fui && nep->fui!=NEP_USER_INTERFACE_CALLBACK) PetscCall(NEPReset_Problem(nep));

    770:   if (jac) nep->computejacobian = jac;
    771:   if (ctx) nep->jacobianctx     = ctx;
    772:   if (A) {
    773:     PetscCall(PetscObjectReference((PetscObject)A));
    774:     PetscCall(MatDestroy(&nep->jacobian));
    775:     nep->jacobian = A;
    776:   }
    777:   nep->fui   = NEP_USER_INTERFACE_CALLBACK;
    778:   nep->state = NEP_STATE_INITIAL;
    779:   PetscFunctionReturn(PETSC_SUCCESS);
    780: }

    782: /*@C
    783:    NEPGetJacobian - Returns the Jacobian matrix and optionally the user
    784:    provided routine and context for evaluating the Jacobian.

    786:    Not Collective

    788:    Input Parameter:
    789: .  nep - the nonlinear eigensolver context

    791:    Output Parameters:
    792: +  A   - location to stash Jacobian matrix (or NULL)
    793: .  jac - location to put Jacobian function (or NULL)
    794: -  ctx - location to stash Jacobian context (or NULL)

    796:    Level: advanced

    798: .seealso: NEPSetJacobian()
    799: @*/
    800: PetscErrorCode NEPGetJacobian(NEP nep,Mat *A,PetscErrorCode (**jac)(NEP,PetscScalar,Mat,void*),void **ctx)
    801: {
    802:   PetscFunctionBegin;
    804:   NEPCheckCallback(nep,1);
    805:   if (A)   *A   = nep->jacobian;
    806:   if (jac) *jac = nep->computejacobian;
    807:   if (ctx) *ctx = nep->jacobianctx;
    808:   PetscFunctionReturn(PETSC_SUCCESS);
    809: }

    811: /*@
    812:    NEPSetSplitOperator - Sets the operator of the nonlinear eigenvalue problem
    813:    in split form.

    815:    Collective

    817:    Input Parameters:
    818: +  nep - the nonlinear eigensolver context
    819: .  nt  - number of terms in the split form
    820: .  A   - array of matrices
    821: .  f   - array of functions
    822: -  str - structure flag for matrices

    824:    Notes:
    825:    The nonlinear operator is written as T(lambda) = sum_i A_i*f_i(lambda),
    826:    for i=1,...,n. The derivative T'(lambda) can be obtained using the
    827:    derivatives of f_i.

    829:    The structure flag provides information about A_i's nonzero pattern
    830:    (see MatStructure enum). If all matrices have the same pattern, then
    831:    use SAME_NONZERO_PATTERN. If the patterns are different but contained
    832:    in the pattern of the first one, then use SUBSET_NONZERO_PATTERN. If
    833:    patterns are known to be different, use DIFFERENT_NONZERO_PATTERN.
    834:    If set to UNKNOWN_NONZERO_PATTERN, the patterns will be compared to
    835:    determine if they are equal.

    837:    This function must be called before NEPSetUp(). If it is called again
    838:    after NEPSetUp() then the NEP object is reset.

    840:    Level: beginner

    842: .seealso: NEPGetSplitOperatorTerm(), NEPGetSplitOperatorInfo(), NEPSetSplitPreconditioner()
    843: @*/
    844: PetscErrorCode NEPSetSplitOperator(NEP nep,PetscInt nt,Mat A[],FN f[],MatStructure str)
    845: {
    846:   PetscInt       i,n=0,m,m0=0,mloc,nloc,mloc0=0;

    848:   PetscFunctionBegin;
    851:   PetscCheck(nt>0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Must have one or more terms, you have %" PetscInt_FMT,nt);
    852:   PetscAssertPointer(A,3);
    853:   PetscAssertPointer(f,4);

    856:   for (i=0;i<nt;i++) {
    858:     PetscCheckSameComm(nep,1,A[i],3);
    860:     PetscCheckSameComm(nep,1,f[i],4);
    861:     PetscCall(MatGetSize(A[i],&m,&n));
    862:     PetscCall(MatGetLocalSize(A[i],&mloc,&nloc));
    863:     PetscCheck(m==n,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"A[%" PetscInt_FMT "] is a non-square matrix (%" PetscInt_FMT " rows, %" PetscInt_FMT " cols)",i,m,n);
    864:     PetscCheck(mloc==nloc,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"A[%" PetscInt_FMT "] does not have equal row and column local sizes (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,mloc,nloc);
    865:     if (!i) { m0 = m; mloc0 = mloc; }
    866:     PetscCheck(m==m0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_INCOMP,"Dimensions of A[%" PetscInt_FMT "] do not match with previous matrices (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,m,m0);
    867:     PetscCheck(mloc==mloc0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_INCOMP,"Local dimensions of A[%" PetscInt_FMT "] do not match with previous matrices (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,mloc,mloc0);
    868:     PetscCall(PetscObjectReference((PetscObject)A[i]));
    869:     PetscCall(PetscObjectReference((PetscObject)f[i]));
    870:   }

    872:   if (nep->state && (n!=nep->n || nloc!=nep->nloc)) PetscCall(NEPReset(nep));
    873:   else PetscCall(NEPReset_Problem(nep));

    875:   /* allocate space and copy matrices and functions */
    876:   PetscCall(PetscMalloc1(nt,&nep->A));
    877:   for (i=0;i<nt;i++) nep->A[i] = A[i];
    878:   PetscCall(PetscMalloc1(nt,&nep->f));
    879:   for (i=0;i<nt;i++) nep->f[i] = f[i];
    880:   PetscCall(PetscCalloc1(nt,&nep->nrma));
    881:   nep->nt    = nt;
    882:   nep->mstr  = str;
    883:   nep->fui   = NEP_USER_INTERFACE_SPLIT;
    884:   nep->state = NEP_STATE_INITIAL;
    885:   PetscFunctionReturn(PETSC_SUCCESS);
    886: }

    888: /*@
    889:    NEPGetSplitOperatorTerm - Gets the matrices and functions associated with
    890:    the nonlinear operator in split form.

    892:    Not Collective

    894:    Input Parameters:
    895: +  nep - the nonlinear eigensolver context
    896: -  k   - the index of the requested term (starting in 0)

    898:    Output Parameters:
    899: +  A - the matrix of the requested term
    900: -  f - the function of the requested term

    902:    Level: intermediate

    904: .seealso: NEPSetSplitOperator(), NEPGetSplitOperatorInfo()
    905: @*/
    906: PetscErrorCode NEPGetSplitOperatorTerm(NEP nep,PetscInt k,Mat *A,FN *f)
    907: {
    908:   PetscFunctionBegin;
    911:   NEPCheckSplit(nep,1);
    912:   PetscCheck(k>=0 && k<nep->nt,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"k must be between 0 and %" PetscInt_FMT,nep->nt-1);
    913:   if (A) *A = nep->A[k];
    914:   if (f) *f = nep->f[k];
    915:   PetscFunctionReturn(PETSC_SUCCESS);
    916: }

    918: /*@
    919:    NEPGetSplitOperatorInfo - Returns the number of terms of the split form of
    920:    the nonlinear operator, as well as the structure flag for matrices.

    922:    Not Collective

    924:    Input Parameter:
    925: .  nep - the nonlinear eigensolver context

    927:    Output Parameters:
    928: +  n   - the number of terms passed in NEPSetSplitOperator()
    929: -  str - the matrix structure flag passed in NEPSetSplitOperator()

    931:    Level: intermediate

    933: .seealso: NEPSetSplitOperator(), NEPGetSplitOperatorTerm()
    934: @*/
    935: PetscErrorCode NEPGetSplitOperatorInfo(NEP nep,PetscInt *n,MatStructure *str)
    936: {
    937:   PetscFunctionBegin;
    939:   NEPCheckSplit(nep,1);
    940:   if (n)   *n = nep->nt;
    941:   if (str) *str = nep->mstr;
    942:   PetscFunctionReturn(PETSC_SUCCESS);
    943: }

    945: /*@
    946:    NEPSetSplitPreconditioner - Sets an operator in split form from which
    947:    to build the preconditioner to be used when solving the nonlinear
    948:    eigenvalue problem in split form.

    950:    Collective

    952:    Input Parameters:
    953: +  nep  - the nonlinear eigensolver context
    954: .  ntp  - number of terms in the split preconditioner
    955: .  P    - array of matrices
    956: -  strp - structure flag for matrices

    958:    Notes:
    959:    The matrix for the preconditioner is expressed as P(lambda) =
    960:    sum_i P_i*f_i(lambda), for i=1,...,n, where the f_i functions
    961:    are the same as in NEPSetSplitOperator(). It is not necessary to call
    962:    this function. If it is not invoked, then the preconditioner is
    963:    built from T(lambda), i.e., both matrices and functions passed in
    964:    NEPSetSplitOperator().

    966:    The structure flag provides information about P_i's nonzero pattern
    967:    in the same way as in NEPSetSplitOperator().

    969:    If the functions defining the preconditioner operator were different
    970:    from the ones given in NEPSetSplitOperator(), then the split form
    971:    cannot be used. Use the callback interface instead.

    973:    Use ntp=0 to reset a previously set split preconditioner.

    975:    Level: advanced

    977: .seealso: NEPGetSplitPreconditionerTerm(), NEPGetSplitPreconditionerInfo(), NEPSetSplitOperator()
    978: @*/
    979: PetscErrorCode NEPSetSplitPreconditioner(NEP nep,PetscInt ntp,Mat P[],MatStructure strp)
    980: {
    981:   PetscInt       i,n=0,m,m0=0,mloc,nloc,mloc0=0;

    983:   PetscFunctionBegin;
    986:   PetscCheck(ntp>=0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"Negative value of ntp = %" PetscInt_FMT,ntp);
    987:   PetscCheck(nep->fui==NEP_USER_INTERFACE_SPLIT,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"Must call NEPSetSplitOperator first");
    988:   PetscCheck(ntp==0 || nep->nt==ntp,PetscObjectComm((PetscObject)nep),PETSC_ERR_SUP,"The number of terms must be the same as in NEPSetSplitOperator()");
    989:   if (ntp) PetscAssertPointer(P,3);

    992:   for (i=0;i<ntp;i++) {
    994:     PetscCheckSameComm(nep,1,P[i],3);
    995:     PetscCall(MatGetSize(P[i],&m,&n));
    996:     PetscCall(MatGetLocalSize(P[i],&mloc,&nloc));
    997:     PetscCheck(m==n,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"P[%" PetscInt_FMT "] is a non-square matrix (%" PetscInt_FMT " rows, %" PetscInt_FMT " cols)",i,m,n);
    998:     PetscCheck(mloc==nloc,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_WRONG,"P[%" PetscInt_FMT "] does not have equal row and column local sizes (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,mloc,nloc);
    999:     if (!i) { m0 = m; mloc0 = mloc; }
    1000:     PetscCheck(m==m0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_INCOMP,"Dimensions of P[%" PetscInt_FMT "] do not match with previous matrices (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,m,m0);
    1001:     PetscCheck(mloc==mloc0,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_INCOMP,"Local dimensions of P[%" PetscInt_FMT "] do not match with previous matrices (%" PetscInt_FMT ", %" PetscInt_FMT ")",i,mloc,mloc0);
    1002:     PetscCall(PetscObjectReference((PetscObject)P[i]));
    1003:   }

    1005:   PetscCheck(!nep->state,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"To call this function after NEPSetUp(), you must call NEPSetSplitOperator() again");
    1006:   if (nep->P) PetscCall(MatDestroyMatrices(nep->nt,&nep->P));

    1008:   /* allocate space and copy matrices */
    1009:   if (ntp) {
    1010:     PetscCall(PetscMalloc1(ntp,&nep->P));
    1011:     for (i=0;i<ntp;i++) nep->P[i] = P[i];
    1012:   }
    1013:   nep->mstrp = strp;
    1014:   nep->state = NEP_STATE_INITIAL;
    1015:   PetscFunctionReturn(PETSC_SUCCESS);
    1016: }

    1018: /*@
    1019:    NEPGetSplitPreconditionerTerm - Gets the matrices associated with
    1020:    the split preconditioner.

    1022:    Not Collective

    1024:    Input Parameters:
    1025: +  nep - the nonlinear eigensolver context
    1026: -  k   - the index of the requested term (starting in 0)

    1028:    Output Parameter:
    1029: .  P  - the matrix of the requested term

    1031:    Level: advanced

    1033: .seealso: NEPSetSplitPreconditioner(), NEPGetSplitPreconditionerInfo()
    1034: @*/
    1035: PetscErrorCode NEPGetSplitPreconditionerTerm(NEP nep,PetscInt k,Mat *P)
    1036: {
    1037:   PetscFunctionBegin;
    1040:   PetscAssertPointer(P,3);
    1041:   NEPCheckSplit(nep,1);
    1042:   PetscCheck(k>=0 && k<nep->nt,PetscObjectComm((PetscObject)nep),PETSC_ERR_ARG_OUTOFRANGE,"k must be between 0 and %" PetscInt_FMT,nep->nt-1);
    1043:   PetscCheck(nep->P,PetscObjectComm((PetscObject)nep),PETSC_ERR_ORDER,"You have not called NEPSetSplitPreconditioner()");
    1044:   *P = nep->P[k];
    1045:   PetscFunctionReturn(PETSC_SUCCESS);
    1046: }

    1048: /*@
    1049:    NEPGetSplitPreconditionerInfo - Returns the number of terms of the split
    1050:    preconditioner, as well as the structure flag for matrices.

    1052:    Not Collective

    1054:    Input Parameter:
    1055: .  nep - the nonlinear eigensolver context

    1057:    Output Parameters:
    1058: +  n    - the number of terms passed in NEPSetSplitPreconditioner()
    1059: -  strp - the matrix structure flag passed in NEPSetSplitPreconditioner()

    1061:    Level: advanced

    1063: .seealso: NEPSetSplitPreconditioner(), NEPGetSplitPreconditionerTerm()
    1064: @*/
    1065: PetscErrorCode NEPGetSplitPreconditionerInfo(NEP nep,PetscInt *n,MatStructure *strp)
    1066: {
    1067:   PetscFunctionBegin;
    1069:   NEPCheckSplit(nep,1);
    1070:   if (n)    *n    = nep->P? nep->nt: 0;
    1071:   if (strp) *strp = nep->mstrp;
    1072:   PetscFunctionReturn(PETSC_SUCCESS);
    1073: }