Date: 2023-09-05T10:18:25+00:00

Actual source code: qarnoldi.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 quadratic eigensolver: "qarnoldi"

     13:    Method: Q-Arnoldi

     15:    Algorithm:

     17:        Quadratic Arnoldi with Krylov-Schur type restart.

     19:    References:

     21:        [1] K. Meerbergen, "The Quadratic Arnoldi method for the solution
     22:            of the quadratic eigenvalue problem", SIAM J. Matrix Anal.
     23:            Appl. 30(4):1462-1482, 2008.
     24: */

     26: #include <slepc/private/pepimpl.h>
     27: #include <petscblaslapack.h>

     29: typedef struct {
     30:   PetscReal keep;         /* restart parameter */
     31:   PetscBool lock;         /* locking/non-locking variant */
     32: } PEP_QARNOLDI;

     34: PetscErrorCode PEPSetUp_QArnoldi(PEP pep)
     35: {
     36:   PEP_QARNOLDI   *ctx = (PEP_QARNOLDI*)pep->data;
     37:   PetscBool      flg;

     39:   PetscFunctionBegin;
     40:   PEPCheckQuadratic(pep);
     41:   PEPCheckShiftSinvert(pep);
     42:   PetscCall(PEPSetDimensions_Default(pep,pep->nev,&pep->ncv,&pep->mpd));
     43:   PetscCheck(ctx->lock || pep->mpd>=pep->ncv,PetscObjectComm((PetscObject)pep),PETSC_ERR_SUP,"Should not use mpd parameter in non-locking variant");
     44:   if (pep->max_it==PETSC_DEFAULT) pep->max_it = PetscMax(100,4*pep->n/pep->ncv);
     45:   if (!pep->which) PetscCall(PEPSetWhichEigenpairs_Default(pep));
     46:   PetscCheck(pep->which!=PEP_ALL,PetscObjectComm((PetscObject)pep),PETSC_ERR_SUP,"This solver does not support computing all eigenvalues");

     48:   PetscCall(STGetTransform(pep->st,&flg));
     49:   PetscCheck(flg,PetscObjectComm((PetscObject)pep),PETSC_ERR_SUP,"Solver requires the ST transformation flag set, see STSetTransform()");

     51:   /* set default extraction */
     52:   if (!pep->extract) pep->extract = PEP_EXTRACT_NONE;
     53:   PEPCheckUnsupported(pep,PEP_FEATURE_NONMONOMIAL | PEP_FEATURE_EXTRACT);

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

     57:   PetscCall(PEPAllocateSolution(pep,0));
     58:   PetscCall(PEPSetWorkVecs(pep,4));

     60:   PetscCall(DSSetType(pep->ds,DSNHEP));
     61:   PetscCall(DSSetExtraRow(pep->ds,PETSC_TRUE));
     62:   PetscCall(DSAllocate(pep->ds,pep->ncv+1));

     64:   PetscFunctionReturn(PETSC_SUCCESS);
     65: }

     67: PetscErrorCode PEPExtractVectors_QArnoldi(PEP pep)
     68: {
     69:   PetscInt       k=pep->nconv;
     70:   Mat            X,X0;

     72:   PetscFunctionBegin;
     73:   if (pep->nconv==0) PetscFunctionReturn(PETSC_SUCCESS);
     74:   PetscCall(DSVectors(pep->ds,DS_MAT_X,NULL,NULL));

     76:   /* update vectors V = V*X */
     77:   PetscCall(DSGetMat(pep->ds,DS_MAT_X,&X));
     78:   PetscCall(MatDenseGetSubMatrix(X,0,k,0,k,&X0));
     79:   PetscCall(BVMultInPlace(pep->V,X0,0,k));
     80:   PetscCall(MatDenseRestoreSubMatrix(X,&X0));
     81:   PetscCall(DSRestoreMat(pep->ds,DS_MAT_X,&X));
     82:   PetscFunctionReturn(PETSC_SUCCESS);
     83: }

     85: /*
     86:   Compute a step of Classical Gram-Schmidt orthogonalization
     87: */
     88: static PetscErrorCode PEPQArnoldiCGS(PEP pep,PetscScalar *H,PetscBLASInt ldh,PetscScalar *h,PetscBLASInt j,BV V,Vec t,Vec v,Vec w,PetscReal *onorm,PetscReal *norm,PetscScalar *work)
     89: {
     90:   PetscBLASInt   ione = 1,j_1 = j+1;
     91:   PetscReal      x,y;
     92:   PetscScalar    dot,one = 1.0,zero = 0.0;

     94:   PetscFunctionBegin;
     95:   /* compute norm of v and w */
     96:   if (onorm) {
     97:     PetscCall(VecNorm(v,NORM_2,&x));
     98:     PetscCall(VecNorm(w,NORM_2,&y));
     99:     *onorm = SlepcAbs(x,y);
    100:   }

    102:   /* orthogonalize: compute h */
    103:   PetscCall(BVDotVec(V,v,h));
    104:   PetscCall(BVDotVec(V,w,work));
    105:   if (j>0) PetscCallBLAS("BLASgemv",BLASgemv_("C",&j_1,&j,&one,H,&ldh,work,&ione,&one,h,&ione));
    106:   PetscCall(VecDot(w,t,&dot));
    107:   h[j] += dot;

    109:   /* orthogonalize: update v and w */
    110:   PetscCall(BVMultVec(V,-1.0,1.0,v,h));
    111:   if (j>0) {
    112:     PetscCallBLAS("BLASgemv",BLASgemv_("N",&j_1,&j,&one,H,&ldh,h,&ione,&zero,work,&ione));
    113:     PetscCall(BVMultVec(V,-1.0,1.0,w,work));
    114:   }
    115:   PetscCall(VecAXPY(w,-h[j],t));

    117:   /* compute norm of v and w */
    118:   if (norm) {
    119:     PetscCall(VecNorm(v,NORM_2,&x));
    120:     PetscCall(VecNorm(w,NORM_2,&y));
    121:     *norm = SlepcAbs(x,y);
    122:   }
    123:   PetscFunctionReturn(PETSC_SUCCESS);
    124: }

    126: /*
    127:   Compute a run of Q-Arnoldi iterations
    128: */
    129: static PetscErrorCode PEPQArnoldi(PEP pep,Mat A,PetscInt k,PetscInt *M,Vec v,Vec w,PetscReal *beta,PetscBool *breakdown,PetscScalar *work)
    130: {
    131:   PetscInt           i,j,l,m = *M,ldh;
    132:   Vec                t = pep->work[2],u = pep->work[3];
    133:   BVOrthogRefineType refinement;
    134:   PetscReal          norm=0.0,onorm,eta;
    135:   PetscScalar        *H,*c = work + m;

    137:   PetscFunctionBegin;
    138:   *beta = 0.0;
    139:   PetscCall(MatDenseGetArray(A,&H));
    140:   PetscCall(MatDenseGetLDA(A,&ldh));
    141:   PetscCall(BVGetOrthogonalization(pep->V,NULL,&refinement,&eta,NULL));
    142:   PetscCall(BVInsertVec(pep->V,k,v));
    143:   for (j=k;j<m;j++) {
    144:     /* apply operator */
    145:     PetscCall(VecCopy(w,t));
    146:     if (pep->Dr) PetscCall(VecPointwiseMult(v,v,pep->Dr));
    147:     PetscCall(STMatMult(pep->st,0,v,u));
    148:     PetscCall(VecCopy(t,v));
    149:     if (pep->Dr) PetscCall(VecPointwiseMult(t,t,pep->Dr));
    150:     PetscCall(STMatMult(pep->st,1,t,w));
    151:     PetscCall(VecAXPY(u,pep->sfactor,w));
    152:     PetscCall(STMatSolve(pep->st,u,w));
    153:     PetscCall(VecScale(w,-1.0/(pep->sfactor*pep->sfactor)));
    154:     if (pep->Dr) PetscCall(VecPointwiseDivide(w,w,pep->Dr));
    155:     PetscCall(VecCopy(v,t));
    156:     PetscCall(BVSetActiveColumns(pep->V,0,j+1));

    158:     /* orthogonalize */
    159:     switch (refinement) {
    160:       case BV_ORTHOG_REFINE_NEVER:
    161:         PetscCall(PEPQArnoldiCGS(pep,H,ldh,H+ldh*j,j,pep->V,t,v,w,NULL,&norm,work));
    162:         *breakdown = PETSC_FALSE;
    163:         break;
    164:       case BV_ORTHOG_REFINE_ALWAYS:
    165:         PetscCall(PEPQArnoldiCGS(pep,H,ldh,H+ldh*j,j,pep->V,t,v,w,NULL,NULL,work));
    166:         PetscCall(PEPQArnoldiCGS(pep,H,ldh,c,j,pep->V,t,v,w,&onorm,&norm,work));
    167:         for (i=0;i<=j;i++) H[ldh*j+i] += c[i];
    168:         if (norm < eta * onorm) *breakdown = PETSC_TRUE;
    169:         else *breakdown = PETSC_FALSE;
    170:         break;
    171:       case BV_ORTHOG_REFINE_IFNEEDED:
    172:         PetscCall(PEPQArnoldiCGS(pep,H,ldh,H+ldh*j,j,pep->V,t,v,w,&onorm,&norm,work));
    173:         /* ||q|| < eta ||h|| */
    174:         l = 1;
    175:         while (l<3 && norm < eta * onorm) {
    176:           l++;
    177:           onorm = norm;
    178:           PetscCall(PEPQArnoldiCGS(pep,H,ldh,c,j,pep->V,t,v,w,NULL,&norm,work));
    179:           for (i=0;i<=j;i++) H[ldh*j+i] += c[i];
    180:         }
    181:         if (norm < eta * onorm) *breakdown = PETSC_TRUE;
    182:         else *breakdown = PETSC_FALSE;
    183:         break;
    184:     }
    185:     PetscCall(VecScale(v,1.0/norm));
    186:     PetscCall(VecScale(w,1.0/norm));

    188:     H[j+1+ldh*j] = norm;
    189:     if (j<m-1) PetscCall(BVInsertVec(pep->V,j+1,v));
    190:   }
    191:   *beta = norm;
    192:   PetscCall(MatDenseRestoreArray(A,&H));
    193:   PetscFunctionReturn(PETSC_SUCCESS);
    194: }

    196: PetscErrorCode PEPSolve_QArnoldi(PEP pep)
    197: {
    198:   PEP_QARNOLDI   *ctx = (PEP_QARNOLDI*)pep->data;
    199:   PetscInt       j,k,l,lwork,nv,nconv;
    200:   Vec            v=pep->work[0],w=pep->work[1];
    201:   Mat            Q,S;
    202:   PetscScalar    *work;
    203:   PetscReal      beta,norm,x,y;
    204:   PetscBool      breakdown=PETSC_FALSE,sinv;

    206:   PetscFunctionBegin;
    207:   lwork = 7*pep->ncv;
    208:   PetscCall(PetscMalloc1(lwork,&work));
    209:   PetscCall(PetscObjectTypeCompare((PetscObject)pep->st,STSINVERT,&sinv));
    210:   PetscCall(RGPushScale(pep->rg,sinv?pep->sfactor:1.0/pep->sfactor));
    211:   PetscCall(STScaleShift(pep->st,sinv?pep->sfactor:1.0/pep->sfactor));

    213:   /* Get the starting Arnoldi vector */
    214:   for (j=0;j<2;j++) {
    215:     if (j>=pep->nini) PetscCall(BVSetRandomColumn(pep->V,j));
    216:   }
    217:   PetscCall(BVCopyVec(pep->V,0,v));
    218:   PetscCall(BVCopyVec(pep->V,1,w));
    219:   PetscCall(VecNorm(v,NORM_2,&x));
    220:   PetscCall(VecNorm(w,NORM_2,&y));
    221:   norm = SlepcAbs(x,y);
    222:   PetscCall(VecScale(v,1.0/norm));
    223:   PetscCall(VecScale(w,1.0/norm));

    225:   /* clean projected matrix (including the extra-arrow) */
    226:   PetscCall(DSSetDimensions(pep->ds,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT));
    227:   PetscCall(DSGetMat(pep->ds,DS_MAT_A,&S));
    228:   PetscCall(MatZeroEntries(S));
    229:   PetscCall(DSRestoreMat(pep->ds,DS_MAT_A,&S));

    231:    /* Restart loop */
    232:   l = 0;
    233:   while (pep->reason == PEP_CONVERGED_ITERATING) {
    234:     pep->its++;

    236:     /* Compute an nv-step Arnoldi factorization */
    237:     nv = PetscMin(pep->nconv+pep->mpd,pep->ncv);
    238:     PetscCall(DSGetMat(pep->ds,DS_MAT_A,&S));
    239:     PetscCall(PEPQArnoldi(pep,S,pep->nconv+l,&nv,v,w,&beta,&breakdown,work));
    240:     PetscCall(DSRestoreMat(pep->ds,DS_MAT_A,&S));
    241:     PetscCall(DSSetDimensions(pep->ds,nv,pep->nconv,pep->nconv+l));
    242:     PetscCall(DSSetState(pep->ds,l?DS_STATE_RAW:DS_STATE_INTERMEDIATE));
    243:     PetscCall(BVSetActiveColumns(pep->V,pep->nconv,nv));

    245:     /* Solve projected problem */
    246:     PetscCall(DSSolve(pep->ds,pep->eigr,pep->eigi));
    247:     PetscCall(DSSort(pep->ds,pep->eigr,pep->eigi,NULL,NULL,NULL));
    248:     PetscCall(DSUpdateExtraRow(pep->ds));
    249:     PetscCall(DSSynchronize(pep->ds,pep->eigr,pep->eigi));

    251:     /* Check convergence */
    252:     PetscCall(PEPKrylovConvergence(pep,PETSC_FALSE,pep->nconv,nv-pep->nconv,beta,&k));
    253:     PetscCall((*pep->stopping)(pep,pep->its,pep->max_it,k,pep->nev,&pep->reason,pep->stoppingctx));
    254:     nconv = k;

    256:     /* Update l */
    257:     if (pep->reason != PEP_CONVERGED_ITERATING || breakdown) l = 0;
    258:     else {
    259:       l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep));
    260:       PetscCall(DSGetTruncateSize(pep->ds,k,nv,&l));
    261:     }
    262:     if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */
    263:     if (l) PetscCall(PetscInfo(pep,"Preparing to restart keeping l=%" PetscInt_FMT " vectors\n",l));

    265:     if (pep->reason == PEP_CONVERGED_ITERATING) {
    266:       if (PetscUnlikely(breakdown)) {
    267:         /* Stop if breakdown */
    268:         PetscCall(PetscInfo(pep,"Breakdown Quadratic Arnoldi method (it=%" PetscInt_FMT " norm=%g)\n",pep->its,(double)beta));
    269:         pep->reason = PEP_DIVERGED_BREAKDOWN;
    270:       } else {
    271:         /* Prepare the Rayleigh quotient for restart */
    272:         PetscCall(DSTruncate(pep->ds,k+l,PETSC_FALSE));
    273:       }
    274:     }
    275:     /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */
    276:     PetscCall(DSGetMat(pep->ds,DS_MAT_Q,&Q));
    277:     PetscCall(BVMultInPlace(pep->V,Q,pep->nconv,k+l));
    278:     PetscCall(DSRestoreMat(pep->ds,DS_MAT_Q,&Q));

    280:     pep->nconv = k;
    281:     PetscCall(PEPMonitor(pep,pep->its,nconv,pep->eigr,pep->eigi,pep->errest,nv));
    282:   }
    283:   PetscCall(BVSetActiveColumns(pep->V,0,pep->nconv));
    284:   for (j=0;j<pep->nconv;j++) {
    285:     pep->eigr[j] *= pep->sfactor;
    286:     pep->eigi[j] *= pep->sfactor;
    287:   }

    289:   PetscCall(STScaleShift(pep->st,sinv?1.0/pep->sfactor:pep->sfactor));
    290:   PetscCall(RGPopScale(pep->rg));

    292:   PetscCall(DSTruncate(pep->ds,pep->nconv,PETSC_TRUE));
    293:   PetscCall(PetscFree(work));
    294:   PetscFunctionReturn(PETSC_SUCCESS);
    295: }

    297: static PetscErrorCode PEPQArnoldiSetRestart_QArnoldi(PEP pep,PetscReal keep)
    298: {
    299:   PEP_QARNOLDI *ctx = (PEP_QARNOLDI*)pep->data;

    301:   PetscFunctionBegin;
    302:   if (keep==(PetscReal)PETSC_DEFAULT) ctx->keep = 0.5;
    303:   else {
    304:     PetscCheck(keep>=0.1 && keep<=0.9,PetscObjectComm((PetscObject)pep),PETSC_ERR_ARG_OUTOFRANGE,"The keep argument must be in the range [0.1,0.9]");
    305:     ctx->keep = keep;
    306:   }
    307:   PetscFunctionReturn(PETSC_SUCCESS);
    308: }

    310: /*@
    311:    PEPQArnoldiSetRestart - Sets the restart parameter for the Q-Arnoldi
    312:    method, in particular the proportion of basis vectors that must be kept
    313:    after restart.

    315:    Logically Collective

    317:    Input Parameters:
    318: +  pep  - the eigenproblem solver context
    319: -  keep - the number of vectors to be kept at restart

    321:    Options Database Key:
    322: .  -pep_qarnoldi_restart - Sets the restart parameter

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

    327:    Level: advanced

    329: .seealso: PEPQArnoldiGetRestart()
    330: @*/
    331: PetscErrorCode PEPQArnoldiSetRestart(PEP pep,PetscReal keep)
    332: {
    333:   PetscFunctionBegin;
    336:   PetscTryMethod(pep,"PEPQArnoldiSetRestart_C",(PEP,PetscReal),(pep,keep));
    337:   PetscFunctionReturn(PETSC_SUCCESS);
    338: }

    340: static PetscErrorCode PEPQArnoldiGetRestart_QArnoldi(PEP pep,PetscReal *keep)
    341: {
    342:   PEP_QARNOLDI *ctx = (PEP_QARNOLDI*)pep->data;

    344:   PetscFunctionBegin;
    345:   *keep = ctx->keep;
    346:   PetscFunctionReturn(PETSC_SUCCESS);
    347: }

    349: /*@
    350:    PEPQArnoldiGetRestart - Gets the restart parameter used in the Q-Arnoldi method.

    352:    Not Collective

    354:    Input Parameter:
    355: .  pep - the eigenproblem solver context

    357:    Output Parameter:
    358: .  keep - the restart parameter

    360:    Level: advanced

    362: .seealso: PEPQArnoldiSetRestart()
    363: @*/
    364: PetscErrorCode PEPQArnoldiGetRestart(PEP pep,PetscReal *keep)
    365: {
    366:   PetscFunctionBegin;
    369:   PetscUseMethod(pep,"PEPQArnoldiGetRestart_C",(PEP,PetscReal*),(pep,keep));
    370:   PetscFunctionReturn(PETSC_SUCCESS);
    371: }

    373: static PetscErrorCode PEPQArnoldiSetLocking_QArnoldi(PEP pep,PetscBool lock)
    374: {
    375:   PEP_QARNOLDI *ctx = (PEP_QARNOLDI*)pep->data;

    377:   PetscFunctionBegin;
    378:   ctx->lock = lock;
    379:   PetscFunctionReturn(PETSC_SUCCESS);
    380: }

    382: /*@
    383:    PEPQArnoldiSetLocking - Choose between locking and non-locking variants of
    384:    the Q-Arnoldi method.

    386:    Logically Collective

    388:    Input Parameters:
    389: +  pep  - the eigenproblem solver context
    390: -  lock - true if the locking variant must be selected

    392:    Options Database Key:
    393: .  -pep_qarnoldi_locking - Sets the locking flag

    395:    Notes:
    396:    The default is to lock converged eigenpairs when the method restarts.
    397:    This behaviour can be changed so that all directions are kept in the
    398:    working subspace even if already converged to working accuracy (the
    399:    non-locking variant).

    401:    Level: advanced

    403: .seealso: PEPQArnoldiGetLocking()
    404: @*/
    405: PetscErrorCode PEPQArnoldiSetLocking(PEP pep,PetscBool lock)
    406: {
    407:   PetscFunctionBegin;
    410:   PetscTryMethod(pep,"PEPQArnoldiSetLocking_C",(PEP,PetscBool),(pep,lock));
    411:   PetscFunctionReturn(PETSC_SUCCESS);
    412: }

    414: static PetscErrorCode PEPQArnoldiGetLocking_QArnoldi(PEP pep,PetscBool *lock)
    415: {
    416:   PEP_QARNOLDI *ctx = (PEP_QARNOLDI*)pep->data;

    418:   PetscFunctionBegin;
    419:   *lock = ctx->lock;
    420:   PetscFunctionReturn(PETSC_SUCCESS);
    421: }

    423: /*@
    424:    PEPQArnoldiGetLocking - Gets the locking flag used in the Q-Arnoldi method.

    426:    Not Collective

    428:    Input Parameter:
    429: .  pep - the eigenproblem solver context

    431:    Output Parameter:
    432: .  lock - the locking flag

    434:    Level: advanced

    436: .seealso: PEPQArnoldiSetLocking()
    437: @*/
    438: PetscErrorCode PEPQArnoldiGetLocking(PEP pep,PetscBool *lock)
    439: {
    440:   PetscFunctionBegin;
    443:   PetscUseMethod(pep,"PEPQArnoldiGetLocking_C",(PEP,PetscBool*),(pep,lock));
    444:   PetscFunctionReturn(PETSC_SUCCESS);
    445: }

    447: PetscErrorCode PEPSetFromOptions_QArnoldi(PEP pep,PetscOptionItems *PetscOptionsObject)
    448: {
    449:   PetscBool      flg,lock;
    450:   PetscReal      keep;

    452:   PetscFunctionBegin;
    453:   PetscOptionsHeadBegin(PetscOptionsObject,"PEP Q-Arnoldi Options");

    455:     PetscCall(PetscOptionsReal("-pep_qarnoldi_restart","Proportion of vectors kept after restart","PEPQArnoldiSetRestart",0.5,&keep,&flg));
    456:     if (flg) PetscCall(PEPQArnoldiSetRestart(pep,keep));

    458:     PetscCall(PetscOptionsBool("-pep_qarnoldi_locking","Choose between locking and non-locking variants","PEPQArnoldiSetLocking",PETSC_FALSE,&lock,&flg));
    459:     if (flg) PetscCall(PEPQArnoldiSetLocking(pep,lock));

    461:   PetscOptionsHeadEnd();
    462:   PetscFunctionReturn(PETSC_SUCCESS);
    463: }

    465: PetscErrorCode PEPView_QArnoldi(PEP pep,PetscViewer viewer)
    466: {
    467:   PEP_QARNOLDI   *ctx = (PEP_QARNOLDI*)pep->data;
    468:   PetscBool      isascii;

    470:   PetscFunctionBegin;
    471:   PetscCall(PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii));
    472:   if (isascii) {
    473:     PetscCall(PetscViewerASCIIPrintf(viewer,"  %d%% of basis vectors kept after restart\n",(int)(100*ctx->keep)));
    474:     PetscCall(PetscViewerASCIIPrintf(viewer,"  using the %slocking variant\n",ctx->lock?"":"non-"));
    475:   }
    476:   PetscFunctionReturn(PETSC_SUCCESS);
    477: }

    479: PetscErrorCode PEPDestroy_QArnoldi(PEP pep)
    480: {
    481:   PetscFunctionBegin;
    482:   PetscCall(PetscFree(pep->data));
    483:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiSetRestart_C",NULL));
    484:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiGetRestart_C",NULL));
    485:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiSetLocking_C",NULL));
    486:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiGetLocking_C",NULL));
    487:   PetscFunctionReturn(PETSC_SUCCESS);
    488: }

    490: SLEPC_EXTERN PetscErrorCode PEPCreate_QArnoldi(PEP pep)
    491: {
    492:   PEP_QARNOLDI   *ctx;

    494:   PetscFunctionBegin;
    495:   PetscCall(PetscNew(&ctx));
    496:   pep->data = (void*)ctx;

    498:   pep->lineariz = PETSC_TRUE;
    499:   ctx->lock     = PETSC_TRUE;

    501:   pep->ops->solve          = PEPSolve_QArnoldi;
    502:   pep->ops->setup          = PEPSetUp_QArnoldi;
    503:   pep->ops->setfromoptions = PEPSetFromOptions_QArnoldi;
    504:   pep->ops->destroy        = PEPDestroy_QArnoldi;
    505:   pep->ops->view           = PEPView_QArnoldi;
    506:   pep->ops->backtransform  = PEPBackTransform_Default;
    507:   pep->ops->computevectors = PEPComputeVectors_Default;
    508:   pep->ops->extractvectors = PEPExtractVectors_QArnoldi;
    509:   pep->ops->setdefaultst   = PEPSetDefaultST_Transform;

    511:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiSetRestart_C",PEPQArnoldiSetRestart_QArnoldi));
    512:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiGetRestart_C",PEPQArnoldiGetRestart_QArnoldi));
    513:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiSetLocking_C",PEPQArnoldiSetLocking_QArnoldi));
    514:   PetscCall(PetscObjectComposeFunction((PetscObject)pep,"PEPQArnoldiGetLocking_C",PEPQArnoldiGetLocking_QArnoldi));
    515:   PetscFunctionReturn(PETSC_SUCCESS);
    516: }