Date: 2023-09-05T10:17:49+00:00

Actual source code: krylovschur.c
slepc-3.19.2 2023-09-05
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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:    SLEPc eigensolver: "krylovschur"

     13:    Method: Krylov-Schur

     15:    Algorithm:

     17:        Single-vector Krylov-Schur method for non-symmetric problems,
     18:        including harmonic extraction.

     20:    References:

     22:        [1] "Krylov-Schur Methods in SLEPc", SLEPc Technical Report STR-7,
     23:            available at https://slepc.upv.es.

     25:        [2] G.W. Stewart, "A Krylov-Schur Algorithm for Large Eigenproblems",
     26:            SIAM J. Matrix Anal. App. 23(3):601-614, 2001.

     28:        [3] "Practical Implementation of Harmonic Krylov-Schur", SLEPc Technical
     29:             Report STR-9, available at https://slepc.upv.es.
     30: */

     32: #include <slepc/private/epsimpl.h>
     33: #include "krylovschur.h"

     35: PetscErrorCode EPSGetArbitraryValues(EPS eps,PetscScalar *rr,PetscScalar *ri)
     36: {
     37:   PetscInt       i,newi,ld,n,l;
     38:   Vec            xr=eps->work[0],xi=eps->work[1];
     39:   PetscScalar    re,im,*Zr,*Zi,*X;

     41:   PetscFunctionBegin;
     42:   PetscCall(DSGetLeadingDimension(eps->ds,&ld));
     43:   PetscCall(DSGetDimensions(eps->ds,&n,&l,NULL,NULL));
     44:   for (i=l;i<n;i++) {
     45:     re = eps->eigr[i];
     46:     im = eps->eigi[i];
     47:     PetscCall(STBackTransform(eps->st,1,&re,&im));
     48:     newi = i;
     49:     PetscCall(DSVectors(eps->ds,DS_MAT_X,&newi,NULL));
     50:     PetscCall(DSGetArray(eps->ds,DS_MAT_X,&X));
     51:     Zr = X+i*ld;
     52:     if (newi==i+1) Zi = X+newi*ld;
     53:     else Zi = NULL;
     54:     PetscCall(EPSComputeRitzVector(eps,Zr,Zi,eps->V,xr,xi));
     55:     PetscCall(DSRestoreArray(eps->ds,DS_MAT_X,&X));
     56:     PetscCall((*eps->arbitrary)(re,im,xr,xi,rr+i,ri+i,eps->arbitraryctx));
     57:   }
     58:   PetscFunctionReturn(PETSC_SUCCESS);
     59: }

     61: static PetscErrorCode EPSSetUp_KrylovSchur_Filter(EPS eps)
     62: {
     63:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
     64:   PetscBool       estimaterange=PETSC_TRUE;
     65:   PetscReal       rleft,rright;
     66:   Mat             A;

     68:   PetscFunctionBegin;
     69:   EPSCheckHermitianCondition(eps,PETSC_TRUE," with polynomial filter");
     70:   EPSCheckStandardCondition(eps,PETSC_TRUE," with polynomial filter");
     71:   PetscCheck(eps->intb<PETSC_MAX_REAL || eps->inta>PETSC_MIN_REAL,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"The defined computational interval should have at least one of their sides bounded");
     72:   EPSCheckUnsupportedCondition(eps,EPS_FEATURE_ARBITRARY | EPS_FEATURE_REGION | EPS_FEATURE_EXTRACTION,PETSC_TRUE," with polynomial filter");
     73:   if (eps->tol==(PetscReal)PETSC_DEFAULT) eps->tol = SLEPC_DEFAULT_TOL*1e-2;  /* use tighter tolerance */
     74:   PetscCall(STFilterSetInterval(eps->st,eps->inta,eps->intb));
     75:   if (!ctx->estimatedrange) {
     76:     PetscCall(STFilterGetRange(eps->st,&rleft,&rright));
     77:     estimaterange = (!rleft && !rright)? PETSC_TRUE: PETSC_FALSE;
     78:   }
     79:   if (estimaterange) { /* user did not set a range */
     80:     PetscCall(STGetMatrix(eps->st,0,&A));
     81:     PetscCall(MatEstimateSpectralRange_EPS(A,&rleft,&rright));
     82:     PetscCall(PetscInfo(eps,"Setting eigenvalue range to [%g,%g]\n",(double)rleft,(double)rright));
     83:     PetscCall(STFilterSetRange(eps->st,rleft,rright));
     84:     ctx->estimatedrange = PETSC_TRUE;
     85:   }
     86:   if (eps->ncv==PETSC_DEFAULT && eps->nev==1) eps->nev = 40;  /* user did not provide nev estimation */
     87:   PetscCall(EPSSetDimensions_Default(eps,eps->nev,&eps->ncv,&eps->mpd));
     88:   PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd");
     89:   if (eps->max_it==PETSC_DEFAULT) eps->max_it = PetscMax(100,2*eps->n/eps->ncv);
     90:   PetscFunctionReturn(PETSC_SUCCESS);
     91: }

     93: PetscErrorCode EPSSetUp_KrylovSchur(EPS eps)
     94: {
     95:   PetscReal         eta;
     96:   PetscBool         isfilt=PETSC_FALSE;
     97:   BVOrthogType      otype;
     98:   BVOrthogBlockType obtype;
     99:   EPS_KRYLOVSCHUR   *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    100:   enum { EPS_KS_DEFAULT,EPS_KS_SYMM,EPS_KS_SLICE,EPS_KS_FILTER,EPS_KS_INDEF,EPS_KS_TWOSIDED } variant;

    102:   PetscFunctionBegin;
    103:   if (eps->which==EPS_ALL) {  /* default values in case of spectrum slicing or polynomial filter  */
    104:     PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    105:     if (isfilt) PetscCall(EPSSetUp_KrylovSchur_Filter(eps));
    106:     else PetscCall(EPSSetUp_KrylovSchur_Slice(eps));
    107:   } else {
    108:     PetscCall(EPSSetDimensions_Default(eps,eps->nev,&eps->ncv,&eps->mpd));
    109:     PetscCheck(eps->ncv<=eps->nev+eps->mpd,PetscObjectComm((PetscObject)eps),PETSC_ERR_USER_INPUT,"The value of ncv must not be larger than nev+mpd");
    110:     if (eps->max_it==PETSC_DEFAULT) eps->max_it = PetscMax(100,2*eps->n/eps->ncv);
    111:     if (!eps->which) PetscCall(EPSSetWhichEigenpairs_Default(eps));
    112:   }
    113:   PetscCheck(ctx->lock || eps->mpd>=eps->ncv,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Should not use mpd parameter in non-locking variant");

    115:   EPSCheckDefiniteCondition(eps,eps->arbitrary," with arbitrary selection of eigenpairs");

    117:   PetscCheck(eps->extraction==EPS_RITZ || eps->extraction==EPS_HARMONIC,PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type");

    119:   if (!ctx->keep) ctx->keep = 0.5;

    121:   PetscCall(EPSAllocateSolution(eps,1));
    122:   PetscCall(EPS_SetInnerProduct(eps));
    123:   if (eps->arbitrary) PetscCall(EPSSetWorkVecs(eps,2));
    124:   else if (eps->ishermitian && !eps->ispositive) PetscCall(EPSSetWorkVecs(eps,1));

    126:   /* dispatch solve method */
    127:   if (eps->ishermitian) {
    128:     if (eps->which==EPS_ALL) {
    129:       EPSCheckDefiniteCondition(eps,eps->which==EPS_ALL," with spectrum slicing");
    130:       variant = isfilt? EPS_KS_FILTER: EPS_KS_SLICE;
    131:     } else if (eps->isgeneralized && !eps->ispositive) {
    132:       variant = EPS_KS_INDEF;
    133:     } else {
    134:       switch (eps->extraction) {
    135:         case EPS_RITZ:     variant = EPS_KS_SYMM; break;
    136:         case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break;
    137:         default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type");
    138:       }
    139:     }
    140:   } else if (eps->twosided) {
    141:     variant = EPS_KS_TWOSIDED;
    142:   } else {
    143:     switch (eps->extraction) {
    144:       case EPS_RITZ:     variant = EPS_KS_DEFAULT; break;
    145:       case EPS_HARMONIC: variant = EPS_KS_DEFAULT; break;
    146:       default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_SUP,"Unsupported extraction type");
    147:     }
    148:   }
    149:   switch (variant) {
    150:     case EPS_KS_DEFAULT:
    151:       eps->ops->solve = EPSSolve_KrylovSchur_Default;
    152:       eps->ops->computevectors = EPSComputeVectors_Schur;
    153:       PetscCall(DSSetType(eps->ds,DSNHEP));
    154:       PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE));
    155:       PetscCall(DSAllocate(eps->ds,eps->ncv+1));
    156:       break;
    157:     case EPS_KS_SYMM:
    158:     case EPS_KS_FILTER:
    159:       eps->ops->solve = EPSSolve_KrylovSchur_Default;
    160:       eps->ops->computevectors = EPSComputeVectors_Hermitian;
    161:       PetscCall(DSSetType(eps->ds,DSHEP));
    162:       PetscCall(DSSetCompact(eps->ds,PETSC_TRUE));
    163:       PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE));
    164:       PetscCall(DSAllocate(eps->ds,eps->ncv+1));
    165:       break;
    166:     case EPS_KS_SLICE:
    167:       eps->ops->solve = EPSSolve_KrylovSchur_Slice;
    168:       eps->ops->computevectors = EPSComputeVectors_Slice;
    169:       break;
    170:     case EPS_KS_INDEF:
    171:       eps->ops->solve = EPSSolve_KrylovSchur_Indefinite;
    172:       eps->ops->computevectors = EPSComputeVectors_Indefinite;
    173:       PetscCall(DSSetType(eps->ds,DSGHIEP));
    174:       PetscCall(DSSetCompact(eps->ds,PETSC_TRUE));
    175:       PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE));
    176:       PetscCall(DSAllocate(eps->ds,eps->ncv+1));
    177:       /* force reorthogonalization for pseudo-Lanczos */
    178:       PetscCall(BVGetOrthogonalization(eps->V,&otype,NULL,&eta,&obtype));
    179:       PetscCall(BVSetOrthogonalization(eps->V,otype,BV_ORTHOG_REFINE_ALWAYS,eta,obtype));
    180:       break;
    181:     case EPS_KS_TWOSIDED:
    182:       eps->ops->solve = EPSSolve_KrylovSchur_TwoSided;
    183:       eps->ops->computevectors = EPSComputeVectors_Schur;
    184:       PetscCall(DSSetType(eps->ds,DSNHEPTS));
    185:       PetscCall(DSAllocate(eps->ds,eps->ncv+1));
    186:       PetscCall(DSSetExtraRow(eps->ds,PETSC_TRUE));
    187:       break;
    188:     default: SETERRQ(PetscObjectComm((PetscObject)eps),PETSC_ERR_PLIB,"Unexpected error");
    189:   }
    190:   PetscFunctionReturn(PETSC_SUCCESS);
    191: }

    193: PetscErrorCode EPSSetUpSort_KrylovSchur(EPS eps)
    194: {
    195:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    196:   SlepcSC         sc;
    197:   PetscBool       isfilt;

    199:   PetscFunctionBegin;
    200:   PetscCall(EPSSetUpSort_Default(eps));
    201:   if (eps->which==EPS_ALL) {
    202:     PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    203:     if (isfilt) {
    204:       PetscCall(DSGetSlepcSC(eps->ds,&sc));
    205:       sc->rg            = NULL;
    206:       sc->comparison    = SlepcCompareLargestReal;
    207:       sc->comparisonctx = NULL;
    208:       sc->map           = NULL;
    209:       sc->mapobj        = NULL;
    210:     } else {
    211:       if (!ctx->global && ctx->sr->numEigs>0) {
    212:         PetscCall(DSGetSlepcSC(eps->ds,&sc));
    213:         sc->rg            = NULL;
    214:         sc->comparison    = SlepcCompareLargestMagnitude;
    215:         sc->comparisonctx = NULL;
    216:         sc->map           = NULL;
    217:         sc->mapobj        = NULL;
    218:       }
    219:     }
    220:   }
    221:   PetscFunctionReturn(PETSC_SUCCESS);
    222: }

    224: PetscErrorCode EPSSolve_KrylovSchur_Default(EPS eps)
    225: {
    226:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    227:   PetscInt        j,*pj,k,l,nv,ld,nconv;
    228:   Mat             U,Op,H,T;
    229:   PetscScalar     *g;
    230:   PetscReal       beta,gamma=1.0;
    231:   PetscBool       breakdown,harmonic,hermitian;

    233:   PetscFunctionBegin;
    234:   PetscCall(DSGetLeadingDimension(eps->ds,&ld));
    235:   harmonic = (eps->extraction==EPS_HARMONIC || eps->extraction==EPS_REFINED_HARMONIC)?PETSC_TRUE:PETSC_FALSE;
    236:   hermitian = (eps->ishermitian && !harmonic)?PETSC_TRUE:PETSC_FALSE;
    237:   if (harmonic) PetscCall(PetscMalloc1(ld,&g));
    238:   if (eps->arbitrary) pj = &j;
    239:   else pj = NULL;

    241:   /* Get the starting Arnoldi vector */
    242:   PetscCall(EPSGetStartVector(eps,0,NULL));
    243:   l = 0;

    245:   /* Restart loop */
    246:   while (eps->reason == EPS_CONVERGED_ITERATING) {
    247:     eps->its++;

    249:     /* Compute an nv-step Arnoldi factorization */
    250:     nv = PetscMin(eps->nconv+eps->mpd,eps->ncv);
    251:     PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l));
    252:     PetscCall(STGetOperator(eps->st,&Op));
    253:     if (hermitian) {
    254:       PetscCall(DSGetMat(eps->ds,DS_MAT_T,&T));
    255:       PetscCall(BVMatLanczos(eps->V,Op,T,eps->nconv+l,&nv,&beta,&breakdown));
    256:       PetscCall(DSRestoreMat(eps->ds,DS_MAT_T,&T));
    257:     } else {
    258:       PetscCall(DSGetMat(eps->ds,DS_MAT_A,&H));
    259:       PetscCall(BVMatArnoldi(eps->V,Op,H,eps->nconv+l,&nv,&beta,&breakdown));
    260:       PetscCall(DSRestoreMat(eps->ds,DS_MAT_A,&H));
    261:     }
    262:     PetscCall(STRestoreOperator(eps->st,&Op));
    263:     PetscCall(DSSetDimensions(eps->ds,nv,eps->nconv,eps->nconv+l));
    264:     PetscCall(DSSetState(eps->ds,l?DS_STATE_RAW:DS_STATE_INTERMEDIATE));
    265:     PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv));

    267:     /* Compute translation of Krylov decomposition if harmonic extraction used */
    268:     if (PetscUnlikely(harmonic)) PetscCall(DSTranslateHarmonic(eps->ds,eps->target,beta,PETSC_FALSE,g,&gamma));

    270:     /* Solve projected problem */
    271:     PetscCall(DSSolve(eps->ds,eps->eigr,eps->eigi));
    272:     if (PetscUnlikely(eps->arbitrary)) {
    273:       PetscCall(EPSGetArbitraryValues(eps,eps->rr,eps->ri));
    274:       j=1;
    275:     }
    276:     PetscCall(DSSort(eps->ds,eps->eigr,eps->eigi,eps->rr,eps->ri,pj));
    277:     PetscCall(DSUpdateExtraRow(eps->ds));
    278:     PetscCall(DSSynchronize(eps->ds,eps->eigr,eps->eigi));

    280:     /* Check convergence */
    281:     PetscCall(EPSKrylovConvergence(eps,PETSC_FALSE,eps->nconv,nv-eps->nconv,beta,0.0,gamma,&k));
    282:     PetscCall((*eps->stopping)(eps,eps->its,eps->max_it,k,eps->nev,&eps->reason,eps->stoppingctx));
    283:     nconv = k;

    285:     /* Update l */
    286:     if (eps->reason != EPS_CONVERGED_ITERATING || breakdown || k==nv) l = 0;
    287:     else {
    288:       l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep));
    289:       if (!hermitian) PetscCall(DSGetTruncateSize(eps->ds,k,nv,&l));
    290:     }
    291:     if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */
    292:     if (l) PetscCall(PetscInfo(eps,"Preparing to restart keeping l=%" PetscInt_FMT " vectors\n",l));

    294:     if (eps->reason == EPS_CONVERGED_ITERATING) {
    295:       if (PetscUnlikely(breakdown || k==nv)) {
    296:         /* Start a new Arnoldi factorization */
    297:         PetscCall(PetscInfo(eps,"Breakdown in Krylov-Schur method (it=%" PetscInt_FMT " norm=%g)\n",eps->its,(double)beta));
    298:         if (k<eps->nev) {
    299:           PetscCall(EPSGetStartVector(eps,k,&breakdown));
    300:           if (breakdown) {
    301:             eps->reason = EPS_DIVERGED_BREAKDOWN;
    302:             PetscCall(PetscInfo(eps,"Unable to generate more start vectors\n"));
    303:           }
    304:         }
    305:       } else {
    306:         /* Undo translation of Krylov decomposition */
    307:         if (PetscUnlikely(harmonic)) {
    308:           PetscCall(DSSetDimensions(eps->ds,nv,k,l));
    309:           PetscCall(DSTranslateHarmonic(eps->ds,0.0,beta,PETSC_TRUE,g,&gamma));
    310:           /* gamma u^ = u - U*g~ */
    311:           PetscCall(BVSetActiveColumns(eps->V,0,nv));
    312:           PetscCall(BVMultColumn(eps->V,-1.0,1.0,nv,g));
    313:           PetscCall(BVScaleColumn(eps->V,nv,1.0/gamma));
    314:           PetscCall(BVSetActiveColumns(eps->V,eps->nconv,nv));
    315:           PetscCall(DSSetDimensions(eps->ds,nv,k,nv));
    316:         }
    317:         /* Prepare the Rayleigh quotient for restart */
    318:         PetscCall(DSTruncate(eps->ds,k+l,PETSC_FALSE));
    319:       }
    320:     }
    321:     /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */
    322:     PetscCall(DSGetMat(eps->ds,DS_MAT_Q,&U));
    323:     PetscCall(BVMultInPlace(eps->V,U,eps->nconv,k+l));
    324:     PetscCall(DSRestoreMat(eps->ds,DS_MAT_Q,&U));

    326:     if (eps->reason == EPS_CONVERGED_ITERATING && !breakdown) PetscCall(BVCopyColumn(eps->V,nv,k+l));
    327:     eps->nconv = k;
    328:     PetscCall(EPSMonitor(eps,eps->its,nconv,eps->eigr,eps->eigi,eps->errest,nv));
    329:   }

    331:   if (harmonic) PetscCall(PetscFree(g));
    332:   PetscCall(DSTruncate(eps->ds,eps->nconv,PETSC_TRUE));
    333:   PetscFunctionReturn(PETSC_SUCCESS);
    334: }

    336: static PetscErrorCode EPSKrylovSchurSetRestart_KrylovSchur(EPS eps,PetscReal keep)
    337: {
    338:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    340:   PetscFunctionBegin;
    341:   if (keep==(PetscReal)PETSC_DEFAULT) ctx->keep = 0.5;
    342:   else {
    343:     PetscCheck(keep>=0.1 && keep<=0.9,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"The keep argument %g must be in the range [0.1,0.9]",(double)keep);
    344:     ctx->keep = keep;
    345:   }
    346:   PetscFunctionReturn(PETSC_SUCCESS);
    347: }

    349: /*@
    350:    EPSKrylovSchurSetRestart - Sets the restart parameter for the Krylov-Schur
    351:    method, in particular the proportion of basis vectors that must be kept
    352:    after restart.

    354:    Logically Collective

    356:    Input Parameters:
    357: +  eps - the eigenproblem solver context
    358: -  keep - the number of vectors to be kept at restart

    360:    Options Database Key:
    361: .  -eps_krylovschur_restart - Sets the restart parameter

    363:    Notes:
    364:    Allowed values are in the range [0.1,0.9]. The default is 0.5.

    366:    Level: advanced

    368: .seealso: EPSKrylovSchurGetRestart()
    369: @*/
    370: PetscErrorCode EPSKrylovSchurSetRestart(EPS eps,PetscReal keep)
    371: {
    372:   PetscFunctionBegin;
    375:   PetscTryMethod(eps,"EPSKrylovSchurSetRestart_C",(EPS,PetscReal),(eps,keep));
    376:   PetscFunctionReturn(PETSC_SUCCESS);
    377: }

    379: static PetscErrorCode EPSKrylovSchurGetRestart_KrylovSchur(EPS eps,PetscReal *keep)
    380: {
    381:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    383:   PetscFunctionBegin;
    384:   *keep = ctx->keep;
    385:   PetscFunctionReturn(PETSC_SUCCESS);
    386: }

    388: /*@
    389:    EPSKrylovSchurGetRestart - Gets the restart parameter used in the
    390:    Krylov-Schur method.

    392:    Not Collective

    394:    Input Parameter:
    395: .  eps - the eigenproblem solver context

    397:    Output Parameter:
    398: .  keep - the restart parameter

    400:    Level: advanced

    402: .seealso: EPSKrylovSchurSetRestart()
    403: @*/
    404: PetscErrorCode EPSKrylovSchurGetRestart(EPS eps,PetscReal *keep)
    405: {
    406:   PetscFunctionBegin;
    409:   PetscUseMethod(eps,"EPSKrylovSchurGetRestart_C",(EPS,PetscReal*),(eps,keep));
    410:   PetscFunctionReturn(PETSC_SUCCESS);
    411: }

    413: static PetscErrorCode EPSKrylovSchurSetLocking_KrylovSchur(EPS eps,PetscBool lock)
    414: {
    415:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    417:   PetscFunctionBegin;
    418:   ctx->lock = lock;
    419:   PetscFunctionReturn(PETSC_SUCCESS);
    420: }

    422: /*@
    423:    EPSKrylovSchurSetLocking - Choose between locking and non-locking variants of
    424:    the Krylov-Schur method.

    426:    Logically Collective

    428:    Input Parameters:
    429: +  eps  - the eigenproblem solver context
    430: -  lock - true if the locking variant must be selected

    432:    Options Database Key:
    433: .  -eps_krylovschur_locking - Sets the locking flag

    435:    Notes:
    436:    The default is to lock converged eigenpairs when the method restarts.
    437:    This behaviour can be changed so that all directions are kept in the
    438:    working subspace even if already converged to working accuracy (the
    439:    non-locking variant).

    441:    Level: advanced

    443: .seealso: EPSKrylovSchurGetLocking()
    444: @*/
    445: PetscErrorCode EPSKrylovSchurSetLocking(EPS eps,PetscBool lock)
    446: {
    447:   PetscFunctionBegin;
    450:   PetscTryMethod(eps,"EPSKrylovSchurSetLocking_C",(EPS,PetscBool),(eps,lock));
    451:   PetscFunctionReturn(PETSC_SUCCESS);
    452: }

    454: static PetscErrorCode EPSKrylovSchurGetLocking_KrylovSchur(EPS eps,PetscBool *lock)
    455: {
    456:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    458:   PetscFunctionBegin;
    459:   *lock = ctx->lock;
    460:   PetscFunctionReturn(PETSC_SUCCESS);
    461: }

    463: /*@
    464:    EPSKrylovSchurGetLocking - Gets the locking flag used in the Krylov-Schur
    465:    method.

    467:    Not Collective

    469:    Input Parameter:
    470: .  eps - the eigenproblem solver context

    472:    Output Parameter:
    473: .  lock - the locking flag

    475:    Level: advanced

    477: .seealso: EPSKrylovSchurSetLocking()
    478: @*/
    479: PetscErrorCode EPSKrylovSchurGetLocking(EPS eps,PetscBool *lock)
    480: {
    481:   PetscFunctionBegin;
    484:   PetscUseMethod(eps,"EPSKrylovSchurGetLocking_C",(EPS,PetscBool*),(eps,lock));
    485:   PetscFunctionReturn(PETSC_SUCCESS);
    486: }

    488: static PetscErrorCode EPSKrylovSchurSetPartitions_KrylovSchur(EPS eps,PetscInt npart)
    489: {
    490:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    491:   PetscMPIInt     size;
    492:   PetscInt        newnpart;

    494:   PetscFunctionBegin;
    495:   if (npart == PETSC_DEFAULT || npart == PETSC_DECIDE) {
    496:     newnpart = 1;
    497:   } else {
    498:     PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)eps),&size));
    499:     PetscCheck(npart>0 && npart<=size,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of npart");
    500:     newnpart = npart;
    501:   }
    502:   if (ctx->npart!=newnpart) {
    503:     if (ctx->npart>1) {
    504:       PetscCall(PetscSubcommDestroy(&ctx->subc));
    505:       if (ctx->commset) {
    506:         PetscCallMPI(MPI_Comm_free(&ctx->commrank));
    507:         ctx->commset = PETSC_FALSE;
    508:       }
    509:     }
    510:     PetscCall(EPSDestroy(&ctx->eps));
    511:     ctx->npart = newnpart;
    512:     eps->state = EPS_STATE_INITIAL;
    513:   }
    514:   PetscFunctionReturn(PETSC_SUCCESS);
    515: }

    517: /*@
    518:    EPSKrylovSchurSetPartitions - Sets the number of partitions for the
    519:    case of doing spectrum slicing for a computational interval with the
    520:    communicator split in several sub-communicators.

    522:    Logically Collective

    524:    Input Parameters:
    525: +  eps   - the eigenproblem solver context
    526: -  npart - number of partitions

    528:    Options Database Key:
    529: .  -eps_krylovschur_partitions <npart> - Sets the number of partitions

    531:    Notes:
    532:    By default, npart=1 so all processes in the communicator participate in
    533:    the processing of the whole interval. If npart>1 then the interval is
    534:    divided into npart subintervals, each of them being processed by a
    535:    subset of processes.

    537:    The interval is split proportionally unless the separation points are
    538:    specified with EPSKrylovSchurSetSubintervals().

    540:    Level: advanced

    542: .seealso: EPSKrylovSchurSetSubintervals(), EPSSetInterval()
    543: @*/
    544: PetscErrorCode EPSKrylovSchurSetPartitions(EPS eps,PetscInt npart)
    545: {
    546:   PetscFunctionBegin;
    549:   PetscTryMethod(eps,"EPSKrylovSchurSetPartitions_C",(EPS,PetscInt),(eps,npart));
    550:   PetscFunctionReturn(PETSC_SUCCESS);
    551: }

    553: static PetscErrorCode EPSKrylovSchurGetPartitions_KrylovSchur(EPS eps,PetscInt *npart)
    554: {
    555:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    557:   PetscFunctionBegin;
    558:   *npart  = ctx->npart;
    559:   PetscFunctionReturn(PETSC_SUCCESS);
    560: }

    562: /*@
    563:    EPSKrylovSchurGetPartitions - Gets the number of partitions of the
    564:    communicator in case of spectrum slicing.

    566:    Not Collective

    568:    Input Parameter:
    569: .  eps - the eigenproblem solver context

    571:    Output Parameter:
    572: .  npart - number of partitions

    574:    Level: advanced

    576: .seealso: EPSKrylovSchurSetPartitions()
    577: @*/
    578: PetscErrorCode EPSKrylovSchurGetPartitions(EPS eps,PetscInt *npart)
    579: {
    580:   PetscFunctionBegin;
    583:   PetscUseMethod(eps,"EPSKrylovSchurGetPartitions_C",(EPS,PetscInt*),(eps,npart));
    584:   PetscFunctionReturn(PETSC_SUCCESS);
    585: }

    587: static PetscErrorCode EPSKrylovSchurSetDetectZeros_KrylovSchur(EPS eps,PetscBool detect)
    588: {
    589:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    591:   PetscFunctionBegin;
    592:   ctx->detect = detect;
    593:   eps->state  = EPS_STATE_INITIAL;
    594:   PetscFunctionReturn(PETSC_SUCCESS);
    595: }

    597: /*@
    598:    EPSKrylovSchurSetDetectZeros - Sets a flag to enforce detection of
    599:    zeros during the factorizations throughout the spectrum slicing computation.

    601:    Logically Collective

    603:    Input Parameters:
    604: +  eps    - the eigenproblem solver context
    605: -  detect - check for zeros

    607:    Options Database Key:
    608: .  -eps_krylovschur_detect_zeros - Check for zeros; this takes an optional
    609:    bool value (0/1/no/yes/true/false)

    611:    Notes:
    612:    A zero in the factorization indicates that a shift coincides with an eigenvalue.

    614:    This flag is turned off by default, and may be necessary in some cases,
    615:    especially when several partitions are being used. This feature currently
    616:    requires an external package for factorizations with support for zero
    617:    detection, e.g. MUMPS.

    619:    Level: advanced

    621: .seealso: EPSKrylovSchurSetPartitions(), EPSSetInterval()
    622: @*/
    623: PetscErrorCode EPSKrylovSchurSetDetectZeros(EPS eps,PetscBool detect)
    624: {
    625:   PetscFunctionBegin;
    628:   PetscTryMethod(eps,"EPSKrylovSchurSetDetectZeros_C",(EPS,PetscBool),(eps,detect));
    629:   PetscFunctionReturn(PETSC_SUCCESS);
    630: }

    632: static PetscErrorCode EPSKrylovSchurGetDetectZeros_KrylovSchur(EPS eps,PetscBool *detect)
    633: {
    634:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    636:   PetscFunctionBegin;
    637:   *detect = ctx->detect;
    638:   PetscFunctionReturn(PETSC_SUCCESS);
    639: }

    641: /*@
    642:    EPSKrylovSchurGetDetectZeros - Gets the flag that enforces zero detection
    643:    in spectrum slicing.

    645:    Not Collective

    647:    Input Parameter:
    648: .  eps - the eigenproblem solver context

    650:    Output Parameter:
    651: .  detect - whether zeros detection is enforced during factorizations

    653:    Level: advanced

    655: .seealso: EPSKrylovSchurSetDetectZeros()
    656: @*/
    657: PetscErrorCode EPSKrylovSchurGetDetectZeros(EPS eps,PetscBool *detect)
    658: {
    659:   PetscFunctionBegin;
    662:   PetscUseMethod(eps,"EPSKrylovSchurGetDetectZeros_C",(EPS,PetscBool*),(eps,detect));
    663:   PetscFunctionReturn(PETSC_SUCCESS);
    664: }

    666: static PetscErrorCode EPSKrylovSchurSetDimensions_KrylovSchur(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd)
    667: {
    668:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    670:   PetscFunctionBegin;
    671:   PetscCheck(nev>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of nev. Must be > 0");
    672:   ctx->nev = nev;
    673:   if (ncv == PETSC_DECIDE || ncv == PETSC_DEFAULT) {
    674:     ctx->ncv = PETSC_DEFAULT;
    675:   } else {
    676:     PetscCheck(ncv>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of ncv. Must be > 0");
    677:     ctx->ncv = ncv;
    678:   }
    679:   if (mpd == PETSC_DECIDE || mpd == PETSC_DEFAULT) {
    680:     ctx->mpd = PETSC_DEFAULT;
    681:   } else {
    682:     PetscCheck(mpd>0,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Illegal value of mpd. Must be > 0");
    683:     ctx->mpd = mpd;
    684:   }
    685:   eps->state = EPS_STATE_INITIAL;
    686:   PetscFunctionReturn(PETSC_SUCCESS);
    687: }

    689: /*@
    690:    EPSKrylovSchurSetDimensions - Sets the dimensions used for each subsolve
    691:    step in case of doing spectrum slicing for a computational interval.
    692:    The meaning of the parameters is the same as in EPSSetDimensions().

    694:    Logically Collective

    696:    Input Parameters:
    697: +  eps - the eigenproblem solver context
    698: .  nev - number of eigenvalues to compute
    699: .  ncv - the maximum dimension of the subspace to be used by the subsolve
    700: -  mpd - the maximum dimension allowed for the projected problem

    702:    Options Database Key:
    703: +  -eps_krylovschur_nev <nev> - Sets the number of eigenvalues
    704: .  -eps_krylovschur_ncv <ncv> - Sets the dimension of the subspace
    705: -  -eps_krylovschur_mpd <mpd> - Sets the maximum projected dimension

    707:    Level: advanced

    709: .seealso: EPSKrylovSchurGetDimensions(), EPSSetDimensions(), EPSSetInterval()
    710: @*/
    711: PetscErrorCode EPSKrylovSchurSetDimensions(EPS eps,PetscInt nev,PetscInt ncv,PetscInt mpd)
    712: {
    713:   PetscFunctionBegin;
    718:   PetscTryMethod(eps,"EPSKrylovSchurSetDimensions_C",(EPS,PetscInt,PetscInt,PetscInt),(eps,nev,ncv,mpd));
    719:   PetscFunctionReturn(PETSC_SUCCESS);
    720: }

    722: static PetscErrorCode EPSKrylovSchurGetDimensions_KrylovSchur(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd)
    723: {
    724:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    726:   PetscFunctionBegin;
    727:   if (nev) *nev = ctx->nev;
    728:   if (ncv) *ncv = ctx->ncv;
    729:   if (mpd) *mpd = ctx->mpd;
    730:   PetscFunctionReturn(PETSC_SUCCESS);
    731: }

    733: /*@
    734:    EPSKrylovSchurGetDimensions - Gets the dimensions used for each subsolve
    735:    step in case of doing spectrum slicing for a computational interval.

    737:    Not Collective

    739:    Input Parameter:
    740: .  eps - the eigenproblem solver context

    742:    Output Parameters:
    743: +  nev - number of eigenvalues to compute
    744: .  ncv - the maximum dimension of the subspace to be used by the subsolve
    745: -  mpd - the maximum dimension allowed for the projected problem

    747:    Level: advanced

    749: .seealso: EPSKrylovSchurSetDimensions()
    750: @*/
    751: PetscErrorCode EPSKrylovSchurGetDimensions(EPS eps,PetscInt *nev,PetscInt *ncv,PetscInt *mpd)
    752: {
    753:   PetscFunctionBegin;
    755:   PetscUseMethod(eps,"EPSKrylovSchurGetDimensions_C",(EPS,PetscInt*,PetscInt*,PetscInt*),(eps,nev,ncv,mpd));
    756:   PetscFunctionReturn(PETSC_SUCCESS);
    757: }

    759: static PetscErrorCode EPSKrylovSchurSetSubintervals_KrylovSchur(EPS eps,PetscReal* subint)
    760: {
    761:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    762:   PetscInt        i;

    764:   PetscFunctionBegin;
    765:   PetscCheck(subint[0]==eps->inta && subint[ctx->npart]==eps->intb,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"First and last values must match the endpoints of EPSSetInterval()");
    766:   for (i=0;i<ctx->npart;i++) PetscCheck(subint[i]<=subint[i+1],PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONG,"Array must contain values in ascending order");
    767:   if (ctx->subintervals) PetscCall(PetscFree(ctx->subintervals));
    768:   PetscCall(PetscMalloc1(ctx->npart+1,&ctx->subintervals));
    769:   for (i=0;i<ctx->npart+1;i++) ctx->subintervals[i] = subint[i];
    770:   ctx->subintset = PETSC_TRUE;
    771:   eps->state = EPS_STATE_INITIAL;
    772:   PetscFunctionReturn(PETSC_SUCCESS);
    773: }

    775: /*@C
    776:    EPSKrylovSchurSetSubintervals - Sets the points that delimit the
    777:    subintervals to be used in spectrum slicing with several partitions.

    779:    Logically Collective

    781:    Input Parameters:
    782: +  eps    - the eigenproblem solver context
    783: -  subint - array of real values specifying subintervals

    785:    Notes:
    786:    This function must be called after EPSKrylovSchurSetPartitions(). For npart
    787:    partitions, the argument subint must contain npart+1 real values sorted in
    788:    ascending order, subint_0, subint_1, ..., subint_npart, where the first
    789:    and last values must coincide with the interval endpoints set with
    790:    EPSSetInterval().

    792:    The subintervals are then defined by two consecutive points [subint_0,subint_1],
    793:    [subint_1,subint_2], and so on.

    795:    Level: advanced

    797: .seealso: EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubintervals(), EPSSetInterval()
    798: @*/
    799: PetscErrorCode EPSKrylovSchurSetSubintervals(EPS eps,PetscReal *subint)
    800: {
    801:   PetscFunctionBegin;
    803:   PetscTryMethod(eps,"EPSKrylovSchurSetSubintervals_C",(EPS,PetscReal*),(eps,subint));
    804:   PetscFunctionReturn(PETSC_SUCCESS);
    805: }

    807: static PetscErrorCode EPSKrylovSchurGetSubintervals_KrylovSchur(EPS eps,PetscReal **subint)
    808: {
    809:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    810:   PetscInt        i;

    812:   PetscFunctionBegin;
    813:   if (!ctx->subintset) {
    814:     PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first");
    815:     PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    816:   }
    817:   PetscCall(PetscMalloc1(ctx->npart+1,subint));
    818:   for (i=0;i<=ctx->npart;i++) (*subint)[i] = ctx->subintervals[i];
    819:   PetscFunctionReturn(PETSC_SUCCESS);
    820: }

    822: /*@C
    823:    EPSKrylovSchurGetSubintervals - Returns the points that delimit the
    824:    subintervals used in spectrum slicing with several partitions.

    826:    Not Collective

    828:    Input Parameter:
    829: .  eps    - the eigenproblem solver context

    831:    Output Parameter:
    832: .  subint - array of real values specifying subintervals

    834:    Notes:
    835:    If the user passed values with EPSKrylovSchurSetSubintervals(), then the
    836:    same values are returned. Otherwise, the values computed internally are
    837:    obtained.

    839:    This function is only available for spectrum slicing runs.

    841:    The returned array has length npart+1 (see EPSKrylovSchurGetPartitions())
    842:    and should be freed by the user.

    844:    Fortran Notes:
    845:    The calling sequence from Fortran is
    846: .vb
    847:    EPSKrylovSchurGetSubintervals(eps,subint,ierr)
    848:    double precision subint(npart+1) output
    849: .ve

    851:    Level: advanced

    853: .seealso: EPSKrylovSchurSetSubintervals(), EPSKrylovSchurGetPartitions(), EPSSetInterval()
    854: @*/
    855: PetscErrorCode EPSKrylovSchurGetSubintervals(EPS eps,PetscReal **subint)
    856: {
    857:   PetscFunctionBegin;
    860:   PetscUseMethod(eps,"EPSKrylovSchurGetSubintervals_C",(EPS,PetscReal**),(eps,subint));
    861:   PetscFunctionReturn(PETSC_SUCCESS);
    862: }

    864: static PetscErrorCode EPSKrylovSchurGetInertias_KrylovSchur(EPS eps,PetscInt *n,PetscReal **shifts,PetscInt **inertias)
    865: {
    866:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    867:   PetscInt        i,numsh;
    868:   EPS_SR          sr = ctx->sr;

    870:   PetscFunctionBegin;
    871:   PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first");
    872:   PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    873:   switch (eps->state) {
    874:   case EPS_STATE_INITIAL:
    875:     break;
    876:   case EPS_STATE_SETUP:
    877:     numsh = ctx->npart+1;
    878:     if (n) *n = numsh;
    879:     if (shifts) {
    880:       PetscCall(PetscMalloc1(numsh,shifts));
    881:       (*shifts)[0] = eps->inta;
    882:       if (ctx->npart==1) (*shifts)[1] = eps->intb;
    883:       else for (i=1;i<numsh;i++) (*shifts)[i] = ctx->subintervals[i];
    884:     }
    885:     if (inertias) {
    886:       PetscCall(PetscMalloc1(numsh,inertias));
    887:       (*inertias)[0] = (sr->dir==1)?sr->inertia0:sr->inertia1;
    888:       if (ctx->npart==1) (*inertias)[1] = (sr->dir==1)?sr->inertia1:sr->inertia0;
    889:       else for (i=1;i<numsh;i++) (*inertias)[i] = (*inertias)[i-1]+ctx->nconv_loc[i-1];
    890:     }
    891:     break;
    892:   case EPS_STATE_SOLVED:
    893:   case EPS_STATE_EIGENVECTORS:
    894:     numsh = ctx->nshifts;
    895:     if (n) *n = numsh;
    896:     if (shifts) {
    897:       PetscCall(PetscMalloc1(numsh,shifts));
    898:       for (i=0;i<numsh;i++) (*shifts)[i] = ctx->shifts[i];
    899:     }
    900:     if (inertias) {
    901:       PetscCall(PetscMalloc1(numsh,inertias));
    902:       for (i=0;i<numsh;i++) (*inertias)[i] = ctx->inertias[i];
    903:     }
    904:     break;
    905:   }
    906:   PetscFunctionReturn(PETSC_SUCCESS);
    907: }

    909: /*@C
    910:    EPSKrylovSchurGetInertias - Gets the values of the shifts and their
    911:    corresponding inertias in case of doing spectrum slicing for a
    912:    computational interval.

    914:    Not Collective

    916:    Input Parameter:
    917: .  eps - the eigenproblem solver context

    919:    Output Parameters:
    920: +  n        - number of shifts, including the endpoints of the interval
    921: .  shifts   - the values of the shifts used internally in the solver
    922: -  inertias - the values of the inertia in each shift

    924:    Notes:
    925:    If called after EPSSolve(), all shifts used internally by the solver are
    926:    returned (including both endpoints and any intermediate ones). If called
    927:    before EPSSolve() and after EPSSetUp() then only the information of the
    928:    endpoints of subintervals is available.

    930:    This function is only available for spectrum slicing runs.

    932:    The returned arrays should be freed by the user. Can pass NULL in any of
    933:    the two arrays if not required.

    935:    Fortran Notes:
    936:    The calling sequence from Fortran is
    937: .vb
    938:    EPSKrylovSchurGetInertias(eps,n,shifts,inertias,ierr)
    939:    integer n
    940:    double precision shifts(*)
    941:    integer inertias(*)
    942: .ve
    943:    The arrays should be at least of length n. The value of n can be determined
    944:    by an initial call
    945: .vb
    946:    EPSKrylovSchurGetInertias(eps,n,PETSC_NULL_REAL,PETSC_NULL_INTEGER,ierr)
    947: .ve

    949:    Level: advanced

    951: .seealso: EPSSetInterval(), EPSKrylovSchurSetSubintervals()
    952: @*/
    953: PetscErrorCode EPSKrylovSchurGetInertias(EPS eps,PetscInt *n,PetscReal **shifts,PetscInt **inertias)
    954: {
    955:   PetscFunctionBegin;
    958:   PetscUseMethod(eps,"EPSKrylovSchurGetInertias_C",(EPS,PetscInt*,PetscReal**,PetscInt**),(eps,n,shifts,inertias));
    959:   PetscFunctionReturn(PETSC_SUCCESS);
    960: }

    962: static PetscErrorCode EPSKrylovSchurGetSubcommInfo_KrylovSchur(EPS eps,PetscInt *k,PetscInt *n,Vec *v)
    963: {
    964:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    965:   EPS_SR          sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr;

    967:   PetscFunctionBegin;
    968:   PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first");
    969:   PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    970:   if (k) *k = (ctx->npart==1)? 0: ctx->subc->color;
    971:   if (n) *n = sr->numEigs;
    972:   if (v) PetscCall(BVCreateVec(sr->V,v));
    973:   PetscFunctionReturn(PETSC_SUCCESS);
    974: }

    976: /*@C
    977:    EPSKrylovSchurGetSubcommInfo - Gets information related to the case of
    978:    doing spectrum slicing for a computational interval with multiple
    979:    communicators.

    981:    Collective on the subcommunicator (if v is given)

    983:    Input Parameter:
    984: .  eps - the eigenproblem solver context

    986:    Output Parameters:
    987: +  k - index of the subinterval for the calling process
    988: .  n - number of eigenvalues found in the k-th subinterval
    989: -  v - a vector owned by processes in the subcommunicator with dimensions
    990:        compatible for locally computed eigenvectors (or NULL)

    992:    Notes:
    993:    This function is only available for spectrum slicing runs.

    995:    The returned Vec should be destroyed by the user.

    997:    Level: advanced

    999: .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommPairs()
    1000: @*/
    1001: PetscErrorCode EPSKrylovSchurGetSubcommInfo(EPS eps,PetscInt *k,PetscInt *n,Vec *v)
    1002: {
    1003:   PetscFunctionBegin;
    1005:   PetscUseMethod(eps,"EPSKrylovSchurGetSubcommInfo_C",(EPS,PetscInt*,PetscInt*,Vec*),(eps,k,n,v));
    1006:   PetscFunctionReturn(PETSC_SUCCESS);
    1007: }

    1009: static PetscErrorCode EPSKrylovSchurGetSubcommPairs_KrylovSchur(EPS eps,PetscInt i,PetscScalar *eig,Vec v)
    1010: {
    1011:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    1012:   EPS_SR          sr = ((EPS_KRYLOVSCHUR*)ctx->eps->data)->sr;

    1014:   PetscFunctionBegin;
    1015:   EPSCheckSolved(eps,1);
    1016:   PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    1017:   PetscCheck(i>=0 && i<sr->numEigs,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_OUTOFRANGE,"Argument 2 out of range");
    1018:   if (eig) *eig = sr->eigr[sr->perm[i]];
    1019:   if (v) PetscCall(BVCopyVec(sr->V,sr->perm[i],v));
    1020:   PetscFunctionReturn(PETSC_SUCCESS);
    1021: }

    1023: /*@
    1024:    EPSKrylovSchurGetSubcommPairs - Gets the i-th eigenpair stored
    1025:    internally in the subcommunicator to which the calling process belongs.

    1027:    Collective on the subcommunicator (if v is given)

    1029:    Input Parameters:
    1030: +  eps - the eigenproblem solver context
    1031: -  i   - index of the solution

    1033:    Output Parameters:
    1034: +  eig - the eigenvalue
    1035: -  v   - the eigenvector

    1037:    Notes:
    1038:    It is allowed to pass NULL for v if the eigenvector is not required.
    1039:    Otherwise, the caller must provide a valid Vec objects, i.e.,
    1040:    it must be created by the calling program with EPSKrylovSchurGetSubcommInfo().

    1042:    The index i should be a value between 0 and n-1, where n is the number of
    1043:    vectors in the local subinterval, see EPSKrylovSchurGetSubcommInfo().

    1045:    Level: advanced

    1047: .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommInfo(), EPSKrylovSchurGetSubcommMats()
    1048: @*/
    1049: PetscErrorCode EPSKrylovSchurGetSubcommPairs(EPS eps,PetscInt i,PetscScalar *eig,Vec v)
    1050: {
    1051:   PetscFunctionBegin;
    1054:   PetscUseMethod(eps,"EPSKrylovSchurGetSubcommPairs_C",(EPS,PetscInt,PetscScalar*,Vec),(eps,i,eig,v));
    1055:   PetscFunctionReturn(PETSC_SUCCESS);
    1056: }

    1058: static PetscErrorCode EPSKrylovSchurGetSubcommMats_KrylovSchur(EPS eps,Mat *A,Mat *B)
    1059: {
    1060:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;

    1062:   PetscFunctionBegin;
    1063:   PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    1064:   PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first");
    1065:   PetscCall(EPSGetOperators(ctx->eps,A,B));
    1066:   PetscFunctionReturn(PETSC_SUCCESS);
    1067: }

    1069: /*@C
    1070:    EPSKrylovSchurGetSubcommMats - Gets the eigenproblem matrices stored
    1071:    internally in the subcommunicator to which the calling process belongs.

    1073:    Collective on the subcommunicator

    1075:    Input Parameter:
    1076: .  eps - the eigenproblem solver context

    1078:    Output Parameters:
    1079: +  A  - the matrix associated with the eigensystem
    1080: -  B  - the second matrix in the case of generalized eigenproblems

    1082:    Notes:
    1083:    This is the analog of EPSGetOperators(), but returns the matrices distributed
    1084:    differently (in the subcommunicator rather than in the parent communicator).

    1086:    These matrices should not be modified by the user.

    1088:    Level: advanced

    1090: .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommInfo()
    1091: @*/
    1092: PetscErrorCode EPSKrylovSchurGetSubcommMats(EPS eps,Mat *A,Mat *B)
    1093: {
    1094:   PetscFunctionBegin;
    1096:   PetscTryMethod(eps,"EPSKrylovSchurGetSubcommMats_C",(EPS,Mat*,Mat*),(eps,A,B));
    1097:   PetscFunctionReturn(PETSC_SUCCESS);
    1098: }

    1100: static PetscErrorCode EPSKrylovSchurUpdateSubcommMats_KrylovSchur(EPS eps,PetscScalar a,PetscScalar ap,Mat Au,PetscScalar b,PetscScalar bp, Mat Bu,MatStructure str,PetscBool globalup)
    1101: {
    1102:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data,*subctx;
    1103:   Mat             A,B=NULL,Ag,Bg=NULL;
    1104:   PetscBool       reuse=PETSC_TRUE;

    1106:   PetscFunctionBegin;
    1107:   PetscCheck(ctx->sr,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations, see EPSSetInterval()");
    1108:   PetscCheck(eps->state,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Must call EPSSetUp() first");
    1109:   PetscCall(EPSGetOperators(eps,&Ag,&Bg));
    1110:   PetscCall(EPSGetOperators(ctx->eps,&A,&B));

    1112:   PetscCall(MatScale(A,a));
    1113:   if (Au) PetscCall(MatAXPY(A,ap,Au,str));
    1114:   if (B) PetscCall(MatScale(B,b));
    1115:   if (Bu) PetscCall(MatAXPY(B,bp,Bu,str));
    1116:   PetscCall(EPSSetOperators(ctx->eps,A,B));

    1118:   /* Update stored matrix state */
    1119:   subctx = (EPS_KRYLOVSCHUR*)ctx->eps->data;
    1120:   PetscCall(PetscObjectStateGet((PetscObject)A,&subctx->Astate));
    1121:   if (B) PetscCall(PetscObjectStateGet((PetscObject)B,&subctx->Bstate));

    1123:   /* Update matrices in the parent communicator if requested by user */
    1124:   if (globalup) {
    1125:     if (ctx->npart>1) {
    1126:       if (!ctx->isrow) {
    1127:         PetscCall(MatGetOwnershipIS(Ag,&ctx->isrow,&ctx->iscol));
    1128:         reuse = PETSC_FALSE;
    1129:       }
    1130:       if (str==DIFFERENT_NONZERO_PATTERN || str==UNKNOWN_NONZERO_PATTERN) reuse = PETSC_FALSE;
    1131:       if (ctx->submata && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submata));
    1132:       PetscCall(MatCreateSubMatrices(A,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submata));
    1133:       PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Ag)->comm,ctx->submata[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Ag));
    1134:       if (B) {
    1135:         if (ctx->submatb && !reuse) PetscCall(MatDestroyMatrices(1,&ctx->submatb));
    1136:         PetscCall(MatCreateSubMatrices(B,1,&ctx->isrow,&ctx->iscol,(reuse)?MAT_REUSE_MATRIX:MAT_INITIAL_MATRIX,&ctx->submatb));
    1137:         PetscCall(MatCreateMPIMatConcatenateSeqMat(((PetscObject)Bg)->comm,ctx->submatb[0],PETSC_DECIDE,MAT_REUSE_MATRIX,&Bg));
    1138:       }
    1139:     }
    1140:     PetscCall(PetscObjectStateGet((PetscObject)Ag,&ctx->Astate));
    1141:     if (Bg) PetscCall(PetscObjectStateGet((PetscObject)Bg,&ctx->Bstate));
    1142:   }
    1143:   PetscCall(EPSSetOperators(eps,Ag,Bg));
    1144:   PetscFunctionReturn(PETSC_SUCCESS);
    1145: }

    1147: /*@
    1148:    EPSKrylovSchurUpdateSubcommMats - Update the eigenproblem matrices stored
    1149:    internally in the subcommunicator to which the calling process belongs.

    1151:    Collective

    1153:    Input Parameters:
    1154: +  eps - the eigenproblem solver context
    1155: .  s   - scalar that multiplies the existing A matrix
    1156: .  a   - scalar used in the axpy operation on A
    1157: .  Au  - matrix used in the axpy operation on A
    1158: .  t   - scalar that multiplies the existing B matrix
    1159: .  b   - scalar used in the axpy operation on B
    1160: .  Bu  - matrix used in the axpy operation on B
    1161: .  str - structure flag
    1162: -  globalup - flag indicating if global matrices must be updated

    1164:    Notes:
    1165:    This function modifies the eigenproblem matrices at the subcommunicator level,
    1166:    and optionally updates the global matrices in the parent communicator. The updates
    1167:    are expressed as A <-- s*A + a*Au,  B <-- t*B + b*Bu.

    1169:    It is possible to update one of the matrices, or both.

    1171:    The matrices Au and Bu must be equal in all subcommunicators.

    1173:    The str flag is passed to the MatAXPY() operations to perform the updates.

    1175:    If globalup is true, communication is carried out to reconstruct the updated
    1176:    matrices in the parent communicator. The user must be warned that if global
    1177:    matrices are not in sync with subcommunicator matrices, the errors computed
    1178:    by EPSComputeError() will be wrong even if the computed solution is correct
    1179:    (the synchronization may be done only once at the end).

    1181:    Level: advanced

    1183: .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions(), EPSKrylovSchurGetSubcommMats()
    1184: @*/
    1185: PetscErrorCode EPSKrylovSchurUpdateSubcommMats(EPS eps,PetscScalar s,PetscScalar a,Mat Au,PetscScalar t,PetscScalar b,Mat Bu,MatStructure str,PetscBool globalup)
    1186: {
    1187:   PetscFunctionBegin;
    1197:   PetscTryMethod(eps,"EPSKrylovSchurUpdateSubcommMats_C",(EPS,PetscScalar,PetscScalar,Mat,PetscScalar,PetscScalar,Mat,MatStructure,PetscBool),(eps,s,a,Au,t,b,Bu,str,globalup));
    1198:   PetscFunctionReturn(PETSC_SUCCESS);
    1199: }

    1201: PetscErrorCode EPSKrylovSchurGetChildEPS(EPS eps,EPS *childeps)
    1202: {
    1203:   EPS_KRYLOVSCHUR  *ctx=(EPS_KRYLOVSCHUR*)eps->data,*ctx_local;
    1204:   Mat              A,B=NULL,Ar=NULL,Br=NULL;
    1205:   PetscMPIInt      rank;
    1206:   PetscObjectState Astate,Bstate=0;
    1207:   PetscObjectId    Aid,Bid=0;
    1208:   STType           sttype;
    1209:   PetscInt         nmat;
    1210:   const char       *prefix;
    1211:   MPI_Comm         child;

    1213:   PetscFunctionBegin;
    1214:   PetscCall(EPSGetOperators(eps,&A,&B));
    1215:   if (ctx->npart==1) {
    1216:     if (!ctx->eps) PetscCall(EPSCreate(((PetscObject)eps)->comm,&ctx->eps));
    1217:     PetscCall(EPSGetOptionsPrefix(eps,&prefix));
    1218:     PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix));
    1219:     PetscCall(EPSSetOperators(ctx->eps,A,B));
    1220:   } else {
    1221:     PetscCall(PetscObjectStateGet((PetscObject)A,&Astate));
    1222:     PetscCall(PetscObjectGetId((PetscObject)A,&Aid));
    1223:     if (B) {
    1224:       PetscCall(PetscObjectStateGet((PetscObject)B,&Bstate));
    1225:       PetscCall(PetscObjectGetId((PetscObject)B,&Bid));
    1226:     }
    1227:     if (!ctx->subc) {
    1228:       /* Create context for subcommunicators */
    1229:       PetscCall(PetscSubcommCreate(PetscObjectComm((PetscObject)eps),&ctx->subc));
    1230:       PetscCall(PetscSubcommSetNumber(ctx->subc,ctx->npart));
    1231:       PetscCall(PetscSubcommSetType(ctx->subc,PETSC_SUBCOMM_CONTIGUOUS));
    1232:       PetscCall(PetscSubcommGetChild(ctx->subc,&child));

    1234:       /* Duplicate matrices */
    1235:       PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar));
    1236:       ctx->Astate = Astate;
    1237:       ctx->Aid = Aid;
    1238:       PetscCall(MatPropagateSymmetryOptions(A,Ar));
    1239:       if (B) {
    1240:         PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br));
    1241:         ctx->Bstate = Bstate;
    1242:         ctx->Bid = Bid;
    1243:         PetscCall(MatPropagateSymmetryOptions(B,Br));
    1244:       }
    1245:     } else {
    1246:       PetscCall(PetscSubcommGetChild(ctx->subc,&child));
    1247:       if (ctx->Astate != Astate || (B && ctx->Bstate != Bstate) || ctx->Aid != Aid || (B && ctx->Bid != Bid)) {
    1248:         PetscCall(STGetNumMatrices(ctx->eps->st,&nmat));
    1249:         if (nmat) PetscCall(EPSGetOperators(ctx->eps,&Ar,&Br));
    1250:         PetscCall(MatCreateRedundantMatrix(A,0,child,MAT_INITIAL_MATRIX,&Ar));
    1251:         ctx->Astate = Astate;
    1252:         ctx->Aid = Aid;
    1253:         PetscCall(MatPropagateSymmetryOptions(A,Ar));
    1254:         if (B) {
    1255:           PetscCall(MatCreateRedundantMatrix(B,0,child,MAT_INITIAL_MATRIX,&Br));
    1256:           ctx->Bstate = Bstate;
    1257:           ctx->Bid = Bid;
    1258:           PetscCall(MatPropagateSymmetryOptions(B,Br));
    1259:         }
    1260:         PetscCall(EPSSetOperators(ctx->eps,Ar,Br));
    1261:         PetscCall(MatDestroy(&Ar));
    1262:         PetscCall(MatDestroy(&Br));
    1263:       }
    1264:     }

    1266:     /* Create auxiliary EPS */
    1267:     if (!ctx->eps) {
    1268:       PetscCall(EPSCreate(child,&ctx->eps));
    1269:       PetscCall(EPSGetOptionsPrefix(eps,&prefix));
    1270:       PetscCall(EPSSetOptionsPrefix(ctx->eps,prefix));
    1271:       PetscCall(EPSSetOperators(ctx->eps,Ar,Br));
    1272:       PetscCall(MatDestroy(&Ar));
    1273:       PetscCall(MatDestroy(&Br));
    1274:     }
    1275:     /* Create subcommunicator grouping processes with same rank */
    1276:     if (!ctx->commset) {
    1277:       PetscCallMPI(MPI_Comm_rank(child,&rank));
    1278:       PetscCallMPI(MPI_Comm_split(((PetscObject)eps)->comm,rank,ctx->subc->color,&ctx->commrank));
    1279:       ctx->commset = PETSC_TRUE;
    1280:     }
    1281:   }
    1282:   PetscCall(EPSSetType(ctx->eps,((PetscObject)eps)->type_name));
    1283:   PetscCall(STGetType(eps->st,&sttype));
    1284:   PetscCall(STSetType(ctx->eps->st,sttype));

    1286:   ctx_local = (EPS_KRYLOVSCHUR*)ctx->eps->data;
    1287:   ctx_local->npart = ctx->npart;
    1288:   ctx_local->global = PETSC_FALSE;
    1289:   ctx_local->eps = eps;
    1290:   ctx_local->subc = ctx->subc;
    1291:   ctx_local->commrank = ctx->commrank;
    1292:   *childeps = ctx->eps;
    1293:   PetscFunctionReturn(PETSC_SUCCESS);
    1294: }

    1296: static PetscErrorCode EPSKrylovSchurGetKSP_KrylovSchur(EPS eps,KSP *ksp)
    1297: {
    1298:   EPS_KRYLOVSCHUR *ctx=(EPS_KRYLOVSCHUR*)eps->data;
    1299:   ST              st;
    1300:   PetscBool       isfilt;

    1302:   PetscFunctionBegin;
    1303:   PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    1304:   PetscCheck(eps->which==EPS_ALL && !isfilt,PetscObjectComm((PetscObject)eps),PETSC_ERR_ARG_WRONGSTATE,"Only available in interval computations with spectrum slicing");
    1305:   PetscCall(EPSKrylovSchurGetChildEPS(eps,&ctx->eps));
    1306:   PetscCall(EPSGetST(ctx->eps,&st));
    1307:   PetscCall(STGetOperator(st,NULL));
    1308:   PetscCall(STGetKSP(st,ksp));
    1309:   PetscFunctionReturn(PETSC_SUCCESS);
    1310: }

    1312: /*@
    1313:    EPSKrylovSchurGetKSP - Retrieve the linear solver object associated with the
    1314:    internal EPS object in case of doing spectrum slicing for a computational interval.

    1316:    Collective

    1318:    Input Parameter:
    1319: .  eps - the eigenproblem solver context

    1321:    Output Parameter:
    1322: .  ksp - the internal KSP object

    1324:    Notes:
    1325:    When invoked to compute all eigenvalues in an interval with spectrum
    1326:    slicing, EPSKRYLOVSCHUR creates another EPS object internally that is
    1327:    used to compute eigenvalues by chunks near selected shifts. This function
    1328:    allows access to the KSP object associated to this internal EPS object.

    1330:    This function is only available for spectrum slicing runs. In case of
    1331:    having more than one partition, the returned KSP will be different
    1332:    in MPI processes belonging to different partitions. Hence, if required,
    1333:    EPSKrylovSchurSetPartitions() must be called BEFORE this function.

    1335:    Level: advanced

    1337: .seealso: EPSSetInterval(), EPSKrylovSchurSetPartitions()
    1338: @*/
    1339: PetscErrorCode EPSKrylovSchurGetKSP(EPS eps,KSP *ksp)
    1340: {
    1341:   PetscFunctionBegin;
    1343:   PetscUseMethod(eps,"EPSKrylovSchurGetKSP_C",(EPS,KSP*),(eps,ksp));
    1344:   PetscFunctionReturn(PETSC_SUCCESS);
    1345: }

    1347: PetscErrorCode EPSSetFromOptions_KrylovSchur(EPS eps,PetscOptionItems *PetscOptionsObject)
    1348: {
    1349:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    1350:   PetscBool       flg,lock,b,f1,f2,f3,isfilt;
    1351:   PetscReal       keep;
    1352:   PetscInt        i,j,k;
    1353:   KSP             ksp;

    1355:   PetscFunctionBegin;
    1356:   PetscOptionsHeadBegin(PetscOptionsObject,"EPS Krylov-Schur Options");

    1358:     PetscCall(PetscOptionsReal("-eps_krylovschur_restart","Proportion of vectors kept after restart","EPSKrylovSchurSetRestart",0.5,&keep,&flg));
    1359:     if (flg) PetscCall(EPSKrylovSchurSetRestart(eps,keep));

    1361:     PetscCall(PetscOptionsBool("-eps_krylovschur_locking","Choose between locking and non-locking variants","EPSKrylovSchurSetLocking",PETSC_TRUE,&lock,&flg));
    1362:     if (flg) PetscCall(EPSKrylovSchurSetLocking(eps,lock));

    1364:     i = ctx->npart;
    1365:     PetscCall(PetscOptionsInt("-eps_krylovschur_partitions","Number of partitions of the communicator for spectrum slicing","EPSKrylovSchurSetPartitions",ctx->npart,&i,&flg));
    1366:     if (flg) PetscCall(EPSKrylovSchurSetPartitions(eps,i));

    1368:     b = ctx->detect;
    1369:     PetscCall(PetscOptionsBool("-eps_krylovschur_detect_zeros","Check zeros during factorizations at subinterval boundaries","EPSKrylovSchurSetDetectZeros",ctx->detect,&b,&flg));
    1370:     if (flg) PetscCall(EPSKrylovSchurSetDetectZeros(eps,b));

    1372:     i = 1;
    1373:     j = k = PETSC_DECIDE;
    1374:     PetscCall(PetscOptionsInt("-eps_krylovschur_nev","Number of eigenvalues to compute in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",40,&i,&f1));
    1375:     PetscCall(PetscOptionsInt("-eps_krylovschur_ncv","Number of basis vectors in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&j,&f2));
    1376:     PetscCall(PetscOptionsInt("-eps_krylovschur_mpd","Maximum dimension of projected problem in each subsolve (only for spectrum slicing)","EPSKrylovSchurSetDimensions",80,&k,&f3));
    1377:     if (f1 || f2 || f3) PetscCall(EPSKrylovSchurSetDimensions(eps,i,j,k));

    1379:   PetscOptionsHeadEnd();

    1381:   /* set options of child KSP in spectrum slicing */
    1382:   if (eps->which==EPS_ALL) {
    1383:     if (!eps->st) PetscCall(EPSGetST(eps,&eps->st));
    1384:     PetscCall(EPSSetDefaultST(eps));
    1385:     PetscCall(STSetFromOptions(eps->st));  /* need to advance this to check ST type */
    1386:     PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    1387:     if (!isfilt) {
    1388:       PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp));
    1389:       PetscCall(KSPSetFromOptions(ksp));
    1390:     }
    1391:   }
    1392:   PetscFunctionReturn(PETSC_SUCCESS);
    1393: }

    1395: PetscErrorCode EPSView_KrylovSchur(EPS eps,PetscViewer viewer)
    1396: {
    1397:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
    1398:   PetscBool       isascii,isfilt;
    1399:   KSP             ksp;
    1400:   PetscViewer     sviewer;

    1402:   PetscFunctionBegin;
    1403:   PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii));
    1404:   if (isascii) {
    1405:     PetscCall(PetscViewerASCIIPrintf(viewer,"  %d%% of basis vectors kept after restart\n",(int)(100*ctx->keep)));
    1406:     PetscCall(PetscViewerASCIIPrintf(viewer,"  using the %slocking variant\n",ctx->lock?"":"non-"));
    1407:     if (eps->which==EPS_ALL) {
    1408:       PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    1409:       if (isfilt) PetscCall(PetscViewerASCIIPrintf(viewer,"  using filtering to extract all eigenvalues in an interval\n"));
    1410:       else {
    1411:         PetscCall(PetscViewerASCIIPrintf(viewer,"  doing spectrum slicing with nev=%" PetscInt_FMT ", ncv=%" PetscInt_FMT ", mpd=%" PetscInt_FMT "\n",ctx->nev,ctx->ncv,ctx->mpd));
    1412:         if (ctx->npart>1) {
    1413:           PetscCall(PetscViewerASCIIPrintf(viewer,"  multi-communicator spectrum slicing with %" PetscInt_FMT " partitions\n",ctx->npart));
    1414:           if (ctx->detect) PetscCall(PetscViewerASCIIPrintf(viewer,"  detecting zeros when factorizing at subinterval boundaries\n"));
    1415:         }
    1416:         /* view child KSP */
    1417:         PetscCall(EPSKrylovSchurGetKSP_KrylovSchur(eps,&ksp));
    1418:         PetscCall(PetscViewerASCIIPushTab(viewer));
    1419:         if (ctx->npart>1 && ctx->subc) {
    1420:           PetscCall(PetscViewerGetSubViewer(viewer,ctx->subc->child,&sviewer));
    1421:           if (!ctx->subc->color) PetscCall(KSPView(ksp,sviewer));
    1422:           PetscCall(PetscViewerFlush(sviewer));
    1423:           PetscCall(PetscViewerRestoreSubViewer(viewer,ctx->subc->child,&sviewer));
    1424:           PetscCall(PetscViewerFlush(viewer));
    1425:           /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */
    1426:           PetscCall(PetscViewerASCIIPopSynchronized(viewer));
    1427:         } else PetscCall(KSPView(ksp,viewer));
    1428:         PetscCall(PetscViewerASCIIPopTab(viewer));
    1429:       }
    1430:     }
    1431:   }
    1432:   PetscFunctionReturn(PETSC_SUCCESS);
    1433: }

    1435: PetscErrorCode EPSDestroy_KrylovSchur(EPS eps)
    1436: {
    1437:   PetscBool      isfilt;

    1439:   PetscFunctionBegin;
    1440:   PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    1441:   if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSDestroy_KrylovSchur_Slice(eps));
    1442:   PetscCall(PetscFree(eps->data));
    1443:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",NULL));
    1444:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",NULL));
    1445:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",NULL));
    1446:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",NULL));
    1447:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",NULL));
    1448:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",NULL));
    1449:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",NULL));
    1450:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",NULL));
    1451:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",NULL));
    1452:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",NULL));
    1453:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",NULL));
    1454:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",NULL));
    1455:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",NULL));
    1456:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",NULL));
    1457:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",NULL));
    1458:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",NULL));
    1459:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",NULL));
    1460:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",NULL));
    1461:   PetscFunctionReturn(PETSC_SUCCESS);
    1462: }

    1464: PetscErrorCode EPSReset_KrylovSchur(EPS eps)
    1465: {
    1466:   PetscBool      isfilt;

    1468:   PetscFunctionBegin;
    1469:   PetscCall(PetscObjectTypeCompare((PetscObject)eps->st,STFILTER,&isfilt));
    1470:   if (eps->which==EPS_ALL && !isfilt) PetscCall(EPSReset_KrylovSchur_Slice(eps));
    1471:   PetscFunctionReturn(PETSC_SUCCESS);
    1472: }

    1474: PetscErrorCode EPSSetDefaultST_KrylovSchur(EPS eps)
    1475: {
    1476:   PetscFunctionBegin;
    1477:   if (eps->which==EPS_ALL) {
    1478:     if (!((PetscObject)eps->st)->type_name) PetscCall(STSetType(eps->st,STSINVERT));
    1479:   }
    1480:   PetscFunctionReturn(PETSC_SUCCESS);
    1481: }

    1483: SLEPC_EXTERN PetscErrorCode EPSCreate_KrylovSchur(EPS eps)
    1484: {
    1485:   EPS_KRYLOVSCHUR *ctx;

    1487:   PetscFunctionBegin;
    1488:   PetscCall(PetscNew(&ctx));
    1489:   eps->data   = (void*)ctx;
    1490:   ctx->lock   = PETSC_TRUE;
    1491:   ctx->nev    = 1;
    1492:   ctx->ncv    = PETSC_DEFAULT;
    1493:   ctx->mpd    = PETSC_DEFAULT;
    1494:   ctx->npart  = 1;
    1495:   ctx->detect = PETSC_FALSE;
    1496:   ctx->global = PETSC_TRUE;

    1498:   eps->useds = PETSC_TRUE;

    1500:   /* solve and computevectors determined at setup */
    1501:   eps->ops->setup          = EPSSetUp_KrylovSchur;
    1502:   eps->ops->setupsort      = EPSSetUpSort_KrylovSchur;
    1503:   eps->ops->setfromoptions = EPSSetFromOptions_KrylovSchur;
    1504:   eps->ops->destroy        = EPSDestroy_KrylovSchur;
    1505:   eps->ops->reset          = EPSReset_KrylovSchur;
    1506:   eps->ops->view           = EPSView_KrylovSchur;
    1507:   eps->ops->backtransform  = EPSBackTransform_Default;
    1508:   eps->ops->setdefaultst   = EPSSetDefaultST_KrylovSchur;

    1510:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetRestart_C",EPSKrylovSchurSetRestart_KrylovSchur));
    1511:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetRestart_C",EPSKrylovSchurGetRestart_KrylovSchur));
    1512:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetLocking_C",EPSKrylovSchurSetLocking_KrylovSchur));
    1513:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetLocking_C",EPSKrylovSchurGetLocking_KrylovSchur));
    1514:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetPartitions_C",EPSKrylovSchurSetPartitions_KrylovSchur));
    1515:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetPartitions_C",EPSKrylovSchurGetPartitions_KrylovSchur));
    1516:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDetectZeros_C",EPSKrylovSchurSetDetectZeros_KrylovSchur));
    1517:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDetectZeros_C",EPSKrylovSchurGetDetectZeros_KrylovSchur));
    1518:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetDimensions_C",EPSKrylovSchurSetDimensions_KrylovSchur));
    1519:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetDimensions_C",EPSKrylovSchurGetDimensions_KrylovSchur));
    1520:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurSetSubintervals_C",EPSKrylovSchurSetSubintervals_KrylovSchur));
    1521:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubintervals_C",EPSKrylovSchurGetSubintervals_KrylovSchur));
    1522:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetInertias_C",EPSKrylovSchurGetInertias_KrylovSchur));
    1523:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommInfo_C",EPSKrylovSchurGetSubcommInfo_KrylovSchur));
    1524:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommPairs_C",EPSKrylovSchurGetSubcommPairs_KrylovSchur));
    1525:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetSubcommMats_C",EPSKrylovSchurGetSubcommMats_KrylovSchur));
    1526:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurUpdateSubcommMats_C",EPSKrylovSchurUpdateSubcommMats_KrylovSchur));
    1527:   PetscCall(PetscObjectComposeFunction((PetscObject)eps,"EPSKrylovSchurGetKSP_C",EPSKrylovSchurGetKSP_KrylovSchur));
    1528:   PetscFunctionReturn(PETSC_SUCCESS);
    1529: }