Date: 2022-11-02T11:47:21+00:00

Actual source code: nrefine.c
slepc-3.18.1 2022-11-02
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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:    Newton refinement for polynomial eigenproblems.

     13:    References:

     15:        [1] T. Betcke and D. Kressner, "Perturbation, extraction and refinement
     16:            of invariant pairs for matrix polynomials", Linear Algebra Appl.
     17:            435(3):514-536, 2011.

     19:        [2] C. Campos and J.E. Roman, "Parallel iterative refinement in
     20:            polynomial eigenvalue problems", Numer. Linear Algebra Appl. 23(4):
     21:            730-745, 2016.
     22: */

     24: #include <slepc/private/pepimpl.h>
     25: #include <slepcblaslapack.h>

     27: typedef struct {
     28:   Mat          *A,M1;
     29:   BV           V,M2,M3,W;
     30:   PetscInt     k,nmat;
     31:   PetscScalar  *fih,*work,*M4;
     32:   PetscBLASInt *pM4;
     33:   PetscBool    compM1;
     34:   Vec          t;
     35: } PEP_REFINE_MATSHELL;

     37: typedef struct {
     38:   Mat          E[2],M1;
     39:   Vec          tN,ttN,t1,vseq;
     40:   VecScatter   scatterctx;
     41:   PetscBool    compM1;
     42:   PetscInt     *map0,*map1,*idxg,*idxp;
     43:   PetscSubcomm subc;
     44:   VecScatter   scatter_sub;
     45:   VecScatter   *scatter_id,*scatterp_id;
     46:   Mat          *A;
     47:   BV           V,W,M2,M3,Wt;
     48:   PetscScalar  *M4,*w,*wt,*d,*dt;
     49:   Vec          t,tg,Rv,Vi,tp,tpg;
     50:   PetscInt     idx,*cols;
     51: } PEP_REFINE_EXPLICIT;

     53: static PetscErrorCode MatMult_FS(Mat M ,Vec x,Vec y)
     54: {
     55:   PEP_REFINE_MATSHELL *ctx;
     56:   PetscInt            k,i;
     57:   PetscScalar         *c;
     58:   PetscBLASInt        k_,one=1,info;

     60:   MatShellGetContext(M,&ctx);
     61:   VecCopy(x,ctx->t);
     62:   k    = ctx->k;
     63:   c    = ctx->work;
     64:   PetscBLASIntCast(k,&k_);
     65:   MatMult(ctx->M1,x,y);
     66:   VecConjugate(ctx->t);
     67:   BVDotVec(ctx->M3,ctx->t,c);
     68:   for (i=0;i<k;i++) c[i] = PetscConj(c[i]);
     69:   PetscFPTrapPush(PETSC_FP_TRAP_OFF);
     70:   PetscCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&k_,&one,ctx->M4,&k_,ctx->pM4,c,&k_,&info));
     71:   PetscFPTrapPop();
     72:   SlepcCheckLapackInfo("getrs",info);
     73:   BVMultVec(ctx->M2,-1.0,1.0,y,c);
     74:   return 0;
     75: }

     77: /*
     78:   Evaluates the first d elements of the polynomial basis
     79:   on a given matrix H which is considered to be triangular
     80: */
     81: static PetscErrorCode PEPEvaluateBasisforMatrix(PEP pep,PetscInt nm,PetscInt k,PetscScalar *H,PetscInt ldh,PetscScalar *fH)
     82: {
     83:   PetscInt       i,j,ldfh=nm*k,off,nmat=pep->nmat;
     84:   PetscReal      *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat,t;
     85:   PetscScalar    corr=0.0,alpha,beta;
     86:   PetscBLASInt   k_,ldh_,ldfh_;

     88:   PetscBLASIntCast(ldh,&ldh_);
     89:   PetscBLASIntCast(k,&k_);
     90:   PetscBLASIntCast(ldfh,&ldfh_);
     91:   PetscArrayzero(fH,nm*k*k);
     92:   if (nm>0) for (j=0;j<k;j++) fH[j+j*ldfh] = 1.0;
     93:   if (nm>1) {
     94:     t = b[0]/a[0];
     95:     off = k;
     96:     for (j=0;j<k;j++) {
     97:       for (i=0;i<k;i++) fH[off+i+j*ldfh] = H[i+j*ldh]/a[0];
     98:       fH[j+j*ldfh] -= t;
     99:     }
    100:   }
    101:   for (i=2;i<nm;i++) {
    102:     off = i*k;
    103:     if (i==2) {
    104:       for (j=0;j<k;j++) {
    105:         fH[off+j+j*ldfh] = 1.0;
    106:         H[j+j*ldh] -= b[1];
    107:       }
    108:     } else {
    109:       for (j=0;j<k;j++) {
    110:         PetscArraycpy(fH+off+j*ldfh,fH+(i-2)*k+j*ldfh,k);
    111:         H[j+j*ldh] += corr-b[i-1];
    112:       }
    113:     }
    114:     corr  = b[i-1];
    115:     beta  = -g[i-1]/a[i-1];
    116:     alpha = 1/a[i-1];
    117:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&alpha,H,&ldh_,fH+(i-1)*k,&ldfh_,&beta,fH+off,&ldfh_));
    118:   }
    119:   for (j=0;j<k;j++) H[j+j*ldh] += corr;
    120:   return 0;
    121: }

    123: static PetscErrorCode NRefSysSetup_shell(PEP pep,PetscInt k,PetscScalar *fH,PetscScalar *S,PetscInt lds,PetscScalar *fh,PetscScalar h,PEP_REFINE_MATSHELL *ctx)
    124: {
    125:   PetscScalar       *DHii,*T12,*Tr,*Ts,*array,s,ss,sone=1.0,zero=0.0,*M4=ctx->M4,t,*v,*T;
    126:   const PetscScalar *m3,*m2;
    127:   PetscInt          i,d,j,nmat=pep->nmat,lda=nmat*k,deg=nmat-1,nloc;
    128:   PetscReal         *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat;
    129:   PetscBLASInt      k_,lda_,lds_,nloc_,one=1,info;
    130:   Mat               *A=ctx->A,Mk,M1=ctx->M1,P;
    131:   BV                V=ctx->V,M2=ctx->M2,M3=ctx->M3,W=ctx->W;
    132:   MatStructure      str;
    133:   Vec               vc;

    135:   STGetMatStructure(pep->st,&str);
    136:   PetscMalloc3(nmat*k*k,&T12,k*k,&Tr,PetscMax(k*k,nmat),&Ts);
    137:   DHii = T12;
    138:   PetscArrayzero(DHii,k*k*nmat);
    139:   for (i=0;i<k;i++) DHii[k+i+i*lda] = 1.0/a[0];
    140:   for (d=2;d<nmat;d++) {
    141:     for (j=0;j<k;j++) {
    142:       for (i=0;i<k;i++) {
    143:         DHii[d*k+i+j*lda] = ((h-b[d-1])*DHii[(d-1)*k+i+j*lda]+fH[(d-1)*k+i+j*lda]-g[d-1]*DHii[(d-2)*k+i+j*lda])/(a[d-1]);
    144:       }
    145:     }
    146:   }
    147:   /* T11 */
    148:   if (!ctx->compM1) {
    149:     MatCopy(A[0],M1,DIFFERENT_NONZERO_PATTERN);
    150:     PEPEvaluateBasis(pep,h,0,Ts,NULL);
    151:     for (j=1;j<nmat;j++) MatAXPY(M1,Ts[j],A[j],str);
    152:   }

    154:   /* T22 */
    155:   PetscBLASIntCast(lds,&lds_);
    156:   PetscBLASIntCast(k,&k_);
    157:   PetscBLASIntCast(lda,&lda_);
    158:   PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,S,&lds_,S,&lds_,&zero,Tr,&k_));
    159:   for (i=1;i<deg;i++) {
    160:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,Tr,&k_,DHii+i*k,&lda_,&zero,Ts,&k_));
    161:     s = (i==1)?0.0:1.0;
    162:     PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,fH+i*k,&lda_,Ts,&k_,&s,M4,&k_));
    163:   }
    164:   for (i=0;i<k;i++) for (j=0;j<i;j++) { t=M4[i+j*k];M4[i+j*k]=M4[j+i*k];M4[j+i*k]=t; }

    166:   /* T12 */
    167:   MatCreateSeqDense(PETSC_COMM_SELF,k,k,NULL,&Mk);
    168:   for (i=1;i<nmat;i++) {
    169:     MatDenseGetArrayWrite(Mk,&array);
    170:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,S,&lds_,DHii+i*k,&lda_,&zero,array,&k_));
    171:     MatDenseRestoreArrayWrite(Mk,&array);
    172:     BVSetActiveColumns(W,0,k);
    173:     BVMult(W,1.0,0.0,V,Mk);
    174:     if (i==1) BVMatMult(W,A[i],M2);
    175:     else {
    176:       BVMatMult(W,A[i],M3); /* using M3 as work space */
    177:       BVMult(M2,1.0,1.0,M3,NULL);
    178:     }
    179:   }

    181:   /* T21 */
    182:   MatDenseGetArrayWrite(Mk,&array);
    183:   for (i=1;i<deg;i++) {
    184:     s = (i==1)?0.0:1.0;
    185:     ss = PetscConj(fh[i]);
    186:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&ss,S,&lds_,fH+i*k,&lda_,&s,array,&k_));
    187:   }
    188:   MatDenseRestoreArrayWrite(Mk,&array);
    189:   BVSetActiveColumns(M3,0,k);
    190:   BVMult(M3,1.0,0.0,V,Mk);
    191:   for (i=0;i<k;i++) {
    192:     BVGetColumn(M3,i,&vc);
    193:     VecConjugate(vc);
    194:     BVRestoreColumn(M3,i,&vc);
    195:   }
    196:   MatDestroy(&Mk);
    197:   PetscFree3(T12,Tr,Ts);

    199:   VecGetLocalSize(ctx->t,&nloc);
    200:   PetscBLASIntCast(nloc,&nloc_);
    201:   PetscMalloc1(nloc*k,&T);
    202:   KSPGetOperators(pep->refineksp,NULL,&P);
    203:   if (!ctx->compM1) MatCopy(ctx->M1,P,SAME_NONZERO_PATTERN);
    204:   BVGetArrayRead(ctx->M2,&m2);
    205:   BVGetArrayRead(ctx->M3,&m3);
    206:   VecGetArray(ctx->t,&v);
    207:   for (i=0;i<nloc;i++) for (j=0;j<k;j++) T[j+i*k] = m3[i+j*nloc];
    208:   PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    209:   PetscCallBLAS("LAPACKgesv",LAPACKgesv_(&k_,&nloc_,ctx->M4,&k_,ctx->pM4,T,&k_,&info));
    210:   PetscFPTrapPop();
    211:   SlepcCheckLapackInfo("gesv",info);
    212:   for (i=0;i<nloc;i++) v[i] = BLASdot_(&k_,m2+i,&nloc_,T+i*k,&one);
    213:   VecRestoreArray(ctx->t,&v);
    214:   BVRestoreArrayRead(ctx->M2,&m2);
    215:   BVRestoreArrayRead(ctx->M3,&m3);
    216:   MatDiagonalSet(P,ctx->t,ADD_VALUES);
    217:   PetscFree(T);
    218:   KSPSetUp(pep->refineksp);
    219:   return 0;
    220: }

    222: static PetscErrorCode NRefSysSolve_shell(KSP ksp,PetscInt nmat,Vec Rv,PetscScalar *Rh,PetscInt k,Vec dVi,PetscScalar *dHi)
    223: {
    224:   PetscScalar         *t0;
    225:   PetscBLASInt        k_,one=1,info,lda_;
    226:   PetscInt            i,lda=nmat*k;
    227:   Mat                 M;
    228:   PEP_REFINE_MATSHELL *ctx;

    230:   KSPGetOperators(ksp,&M,NULL);
    231:   MatShellGetContext(M,&ctx);
    232:   PetscCalloc1(k,&t0);
    233:   PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    234:   PetscBLASIntCast(lda,&lda_);
    235:   PetscBLASIntCast(k,&k_);
    236:   for (i=0;i<k;i++) t0[i] = Rh[i];
    237:   PetscCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&k_,&one,ctx->M4,&k_,ctx->pM4,t0,&k_,&info));
    238:   SlepcCheckLapackInfo("getrs",info);
    239:   BVMultVec(ctx->M2,-1.0,1.0,Rv,t0);
    240:   KSPSolve(ksp,Rv,dVi);
    241:   VecConjugate(dVi);
    242:   BVDotVec(ctx->M3,dVi,dHi);
    243:   VecConjugate(dVi);
    244:   for (i=0;i<k;i++) dHi[i] = Rh[i]-PetscConj(dHi[i]);
    245:   PetscCallBLAS("LAPACKgetrs",LAPACKgetrs_("N",&k_,&one,ctx->M4,&k_,ctx->pM4,dHi,&k_,&info));
    246:   SlepcCheckLapackInfo("getrs",info);
    247:   PetscFPTrapPop();
    248:   PetscFree(t0);
    249:   return 0;
    250: }

    252: /*
    253:    Computes the residual P(H,V*S)*e_j for the polynomial
    254: */
    255: static PetscErrorCode NRefRightSide(PetscInt nmat,PetscReal *pcf,Mat *A,PetscInt k,BV V,PetscScalar *S,PetscInt lds,PetscInt j,PetscScalar *H,PetscInt ldh,PetscScalar *fH,PetscScalar *DfH,PetscScalar *dH,BV dV,PetscScalar *dVS,PetscInt rds,Vec Rv,PetscScalar *Rh,BV W,Vec t)
    256: {
    257:   PetscScalar    *DS0,*DS1,*F,beta=0.0,sone=1.0,none=-1.0,tt=0.0,*h,zero=0.0,*Z,*c0;
    258:   PetscReal      *a=pcf,*b=pcf+nmat,*g=b+nmat;
    259:   PetscInt       i,ii,jj,lda;
    260:   PetscBLASInt   lda_,k_,ldh_,lds_,nmat_,k2_,krds_,j_,one=1;
    261:   Mat            M0;
    262:   Vec            w;

    264:   PetscMalloc4(k*nmat,&h,k*k,&DS0,k*k,&DS1,k*k,&Z);
    265:   lda = k*nmat;
    266:   PetscBLASIntCast(k,&k_);
    267:   PetscBLASIntCast(lds,&lds_);
    268:   PetscBLASIntCast(lda,&lda_);
    269:   PetscBLASIntCast(nmat,&nmat_);
    270:   PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&nmat_,&k_,&sone,S,&lds_,fH+j*lda,&k_,&zero,h,&k_));
    271:   MatCreateSeqDense(PETSC_COMM_SELF,k,nmat,h,&M0);
    272:   BVSetActiveColumns(W,0,nmat);
    273:   BVMult(W,1.0,0.0,V,M0);
    274:   MatDestroy(&M0);

    276:   BVGetColumn(W,0,&w);
    277:   MatMult(A[0],w,Rv);
    278:   BVRestoreColumn(W,0,&w);
    279:   for (i=1;i<nmat;i++) {
    280:     BVGetColumn(W,i,&w);
    281:     MatMult(A[i],w,t);
    282:     BVRestoreColumn(W,i,&w);
    283:     VecAXPY(Rv,1.0,t);
    284:   }
    285:   /* Update right-hand side */
    286:   if (j) {
    287:     PetscBLASIntCast(ldh,&ldh_);
    288:     PetscArrayzero(Z,k*k);
    289:     PetscArrayzero(DS0,k*k);
    290:     PetscArraycpy(Z+(j-1)*k,dH+(j-1)*k,k);
    291:     /* Update DfH */
    292:     for (i=1;i<nmat;i++) {
    293:       if (i>1) {
    294:         beta = -g[i-1];
    295:         PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,fH+(i-1)*k,&lda_,Z,&k_,&beta,DS0,&k_));
    296:         tt += -b[i-1];
    297:         for (ii=0;ii<k;ii++) H[ii+ii*ldh] += tt;
    298:         tt = b[i-1];
    299:         beta = 1.0/a[i-1];
    300:         PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&beta,DS1,&k_,H,&ldh_,&beta,DS0,&k_));
    301:         F = DS0; DS0 = DS1; DS1 = F;
    302:       } else {
    303:         PetscArrayzero(DS1,k*k);
    304:         for (ii=0;ii<k;ii++) DS1[ii+(j-1)*k] = Z[ii+(j-1)*k]/a[0];
    305:       }
    306:       for (jj=j;jj<k;jj++) {
    307:         for (ii=0;ii<k;ii++) DfH[k*i+ii+jj*lda] += DS1[ii+jj*k];
    308:       }
    309:     }
    310:     for (ii=0;ii<k;ii++) H[ii+ii*ldh] += tt;
    311:     /* Update right-hand side */
    312:     PetscBLASIntCast(2*k,&k2_);
    313:     PetscBLASIntCast(j,&j_);
    314:     PetscBLASIntCast(k+rds,&krds_);
    315:     c0 = DS0;
    316:     PetscArrayzero(Rh,k);
    317:     for (i=0;i<nmat;i++) {
    318:       PetscCallBLAS("BLASgemv",BLASgemv_("N",&krds_,&j_,&sone,dVS,&k2_,fH+j*lda+i*k,&one,&zero,h,&one));
    319:       PetscCallBLAS("BLASgemv",BLASgemv_("N",&k_,&k_,&sone,S,&lds_,DfH+i*k+j*lda,&one,&sone,h,&one));
    320:       BVMultVec(V,1.0,0.0,t,h);
    321:       BVSetActiveColumns(dV,0,rds);
    322:       BVMultVec(dV,1.0,1.0,t,h+k);
    323:       BVGetColumn(W,i,&w);
    324:       MatMult(A[i],t,w);
    325:       BVRestoreColumn(W,i,&w);
    326:       if (i>0 && i<nmat-1) {
    327:         PetscCallBLAS("BLASgemv",BLASgemv_("C",&k_,&k_,&sone,S,&lds_,h,&one,&zero,c0,&one));
    328:         PetscCallBLAS("BLASgemv",BLASgemv_("C",&k_,&k_,&none,fH+i*k,&lda_,c0,&one,&sone,Rh,&one));
    329:       }
    330:     }

    332:     for (i=0;i<nmat;i++) h[i] = -1.0;
    333:     BVMultVec(W,1.0,1.0,Rv,h);
    334:   }
    335:   PetscFree4(h,DS0,DS1,Z);
    336:   return 0;
    337: }

    339: static PetscErrorCode NRefSysSolve_mbe(PetscInt k,PetscInt sz,BV W,PetscScalar *w,BV Wt,PetscScalar *wt,PetscScalar *d,PetscScalar *dt,KSP ksp,BV T2,BV T3 ,PetscScalar *T4,PetscBool trans,Vec x1,PetscScalar *x2,Vec sol1,PetscScalar *sol2,Vec vw)
    340: {
    341:   PetscInt       i,j,incf,incc;
    342:   PetscScalar    *y,*g,*xx2,*ww,y2,*dd;
    343:   Vec            v,t,xx1;
    344:   BV             WW,T;

    346:   PetscMalloc3(sz,&y,sz,&g,k,&xx2);
    347:   if (trans) {
    348:     WW = W; ww = w; dd = d; T = T3; incf = 0; incc = 1;
    349:   } else {
    350:     WW = Wt; ww = wt; dd = dt; T = T2; incf = 1; incc = 0;
    351:   }
    352:   xx1 = vw;
    353:   VecCopy(x1,xx1);
    354:   PetscArraycpy(xx2,x2,sz);
    355:   PetscArrayzero(sol2,k);
    356:   for (i=sz-1;i>=0;i--) {
    357:     BVGetColumn(WW,i,&v);
    358:     VecConjugate(v);
    359:     VecDot(xx1,v,y+i);
    360:     VecConjugate(v);
    361:     BVRestoreColumn(WW,i,&v);
    362:     for (j=0;j<i;j++) y[i] += ww[j+i*k]*xx2[j];
    363:     y[i] = -(y[i]-xx2[i])/dd[i];
    364:     BVGetColumn(T,i,&t);
    365:     VecAXPY(xx1,-y[i],t);
    366:     BVRestoreColumn(T,i,&t);
    367:     for (j=0;j<=i;j++) xx2[j] -= y[i]*T4[j*incf+incc*i+(i*incf+incc*j)*k];
    368:     g[i] = xx2[i];
    369:   }
    370:   if (trans) KSPSolveTranspose(ksp,xx1,sol1);
    371:   else KSPSolve(ksp,xx1,sol1);
    372:   if (trans) {
    373:     WW = Wt; ww = wt; dd = dt; T = T2; incf = 1; incc = 0;
    374:   } else {
    375:     WW = W; ww = w; dd = d; T = T3; incf = 0; incc = 1;
    376:   }
    377:   for (i=0;i<sz;i++) {
    378:     BVGetColumn(T,i,&t);
    379:     VecConjugate(t);
    380:     VecDot(sol1,t,&y2);
    381:     VecConjugate(t);
    382:     BVRestoreColumn(T,i,&t);
    383:     for (j=0;j<i;j++) y2 += sol2[j]*T4[j*incf+incc*i+(i*incf+incc*j)*k];
    384:     y2 = (g[i]-y2)/dd[i];
    385:     BVGetColumn(WW,i,&v);
    386:     VecAXPY(sol1,-y2,v);
    387:     for (j=0;j<i;j++) sol2[j] -= ww[j+i*k]*y2;
    388:     sol2[i] = y[i]+y2;
    389:     BVRestoreColumn(WW,i,&v);
    390:   }
    391:   PetscFree3(y,g,xx2);
    392:   return 0;
    393: }

    395: static PetscErrorCode NRefSysSetup_mbe(PEP pep,PetscInt k,KSP ksp,PetscScalar *fH,PetscScalar *S,PetscInt lds,PetscScalar *fh,PetscScalar h,BV V,PEP_REFINE_EXPLICIT *matctx)
    396: {
    397:   PetscInt       i,j,l,nmat=pep->nmat,lda=nmat*k,deg=nmat-1;
    398:   Mat            M1=matctx->M1,*A,*At,Mk;
    399:   PetscReal      *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat;
    400:   PetscScalar    s,ss,*DHii,*T12,*array,*Ts,*Tr,*M4=matctx->M4,sone=1.0,zero=0.0;
    401:   PetscScalar    *w=matctx->w,*wt=matctx->wt,*d=matctx->d,*dt=matctx->dt;
    402:   PetscBLASInt   lds_,lda_,k_;
    403:   MatStructure   str;
    404:   PetscBool      flg;
    405:   BV             M2=matctx->M2,M3=matctx->M3,W=matctx->W,Wt=matctx->Wt;
    406:   Vec            vc,vc2;

    408:   PetscMalloc3(nmat*k*k,&T12,k*k,&Tr,PetscMax(k*k,nmat),&Ts);
    409:   STGetMatStructure(pep->st,&str);
    410:   STGetTransform(pep->st,&flg);
    411:   if (flg) {
    412:     PetscMalloc1(pep->nmat,&At);
    413:     for (i=0;i<pep->nmat;i++) STGetMatrixTransformed(pep->st,i,&At[i]);
    414:   } else At = pep->A;
    415:   if (matctx->subc) A = matctx->A;
    416:   else A = At;
    417:   /* Form the explicit system matrix */
    418:   DHii = T12;
    419:   PetscArrayzero(DHii,k*k*nmat);
    420:   for (i=0;i<k;i++) DHii[k+i+i*lda] = 1.0/a[0];
    421:   for (l=2;l<nmat;l++) {
    422:     for (j=0;j<k;j++) {
    423:       for (i=0;i<k;i++) {
    424:         DHii[l*k+i+j*lda] = ((h-b[l-1])*DHii[(l-1)*k+i+j*lda]+fH[(l-1)*k+i+j*lda]-g[l-1]*DHii[(l-2)*k+i+j*lda])/a[l-1];
    425:       }
    426:     }
    427:   }

    429:   /* T11 */
    430:   if (!matctx->compM1) {
    431:     MatCopy(A[0],M1,DIFFERENT_NONZERO_PATTERN);
    432:     PEPEvaluateBasis(pep,h,0,Ts,NULL);
    433:     for (j=1;j<nmat;j++) MatAXPY(M1,Ts[j],A[j],str);
    434:   }

    436:   /* T22 */
    437:   PetscBLASIntCast(lds,&lds_);
    438:   PetscBLASIntCast(k,&k_);
    439:   PetscBLASIntCast(lda,&lda_);
    440:   PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,S,&lds_,S,&lds_,&zero,Tr,&k_));
    441:   for (i=1;i<deg;i++) {
    442:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,Tr,&k_,DHii+i*k,&lda_,&zero,Ts,&k_));
    443:     s = (i==1)?0.0:1.0;
    444:     PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,fH+i*k,&lda_,Ts,&k_,&s,M4,&k_));
    445:   }

    447:   /* T12 */
    448:   MatCreateSeqDense(PETSC_COMM_SELF,k,k,NULL,&Mk);
    449:   for (i=1;i<nmat;i++) {
    450:     MatDenseGetArrayWrite(Mk,&array);
    451:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,S,&lds_,DHii+i*k,&lda_,&zero,array,&k_));
    452:     MatDenseRestoreArrayWrite(Mk,&array);
    453:     BVSetActiveColumns(W,0,k);
    454:     BVMult(W,1.0,0.0,V,Mk);
    455:     if (i==1) BVMatMult(W,A[i],M2);
    456:     else {
    457:       BVMatMult(W,A[i],M3); /* using M3 as work space */
    458:       BVMult(M2,1.0,1.0,M3,NULL);
    459:     }
    460:   }

    462:   /* T21 */
    463:   MatDenseGetArrayWrite(Mk,&array);
    464:   for (i=1;i<deg;i++) {
    465:     s = (i==1)?0.0:1.0;
    466:     ss = PetscConj(fh[i]);
    467:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&ss,S,&lds_,fH+i*k,&lda_,&s,array,&k_));
    468:   }
    469:   MatDenseRestoreArrayWrite(Mk,&array);
    470:   BVSetActiveColumns(M3,0,k);
    471:   BVMult(M3,1.0,0.0,V,Mk);
    472:   for (i=0;i<k;i++) {
    473:     BVGetColumn(M3,i,&vc);
    474:     VecConjugate(vc);
    475:     BVRestoreColumn(M3,i,&vc);
    476:   }

    478:   PEP_KSPSetOperators(ksp,M1,M1);
    479:   KSPSetUp(ksp);
    480:   MatDestroy(&Mk);

    482:   /* Set up for BEMW */
    483:   for (i=0;i<k;i++) {
    484:     BVGetColumn(M2,i,&vc);
    485:     BVGetColumn(W,i,&vc2);
    486:     NRefSysSolve_mbe(k,i,W,w,Wt,wt,d,dt,ksp,M2,M3,M4,PETSC_FALSE,vc,M4+i*k,vc2,w+i*k,matctx->t);
    487:     BVRestoreColumn(M2,i,&vc);
    488:     BVGetColumn(M3,i,&vc);
    489:     VecConjugate(vc);
    490:     VecDot(vc2,vc,&d[i]);
    491:     VecConjugate(vc);
    492:     BVRestoreColumn(M3,i,&vc);
    493:     for (j=0;j<i;j++) d[i] += M4[i+j*k]*w[j+i*k];
    494:     d[i] = M4[i+i*k]-d[i];
    495:     BVRestoreColumn(W,i,&vc2);

    497:     BVGetColumn(M3,i,&vc);
    498:     BVGetColumn(Wt,i,&vc2);
    499:     for (j=0;j<=i;j++) Ts[j] = M4[i+j*k];
    500:     NRefSysSolve_mbe(k,i,W,w,Wt,wt,d,dt,ksp,M2,M3,M4,PETSC_TRUE,vc,Ts,vc2,wt+i*k,matctx->t);
    501:     BVRestoreColumn(M3,i,&vc);
    502:     BVGetColumn(M2,i,&vc);
    503:     VecConjugate(vc2);
    504:     VecDot(vc,vc2,&dt[i]);
    505:     VecConjugate(vc2);
    506:     BVRestoreColumn(M2,i,&vc);
    507:     for (j=0;j<i;j++) dt[i] += M4[j+i*k]*wt[j+i*k];
    508:     dt[i] = M4[i+i*k]-dt[i];
    509:     BVRestoreColumn(Wt,i,&vc2);
    510:   }

    512:   if (flg) PetscFree(At);
    513:   PetscFree3(T12,Tr,Ts);
    514:   return 0;
    515: }

    517: static PetscErrorCode NRefSysSetup_explicit(PEP pep,PetscInt k,KSP ksp,PetscScalar *fH,PetscScalar *S,PetscInt lds,PetscScalar *fh,PetscScalar h,BV V,PEP_REFINE_EXPLICIT *matctx,BV W)
    518: {
    519:   PetscInt          i,j,d,n,n0,m0,n1,m1,nmat=pep->nmat,lda=nmat*k,deg=nmat-1;
    520:   PetscInt          *idxg=matctx->idxg,*idxp=matctx->idxp,idx,ncols;
    521:   Mat               M,*E=matctx->E,*A,*At,Mk,Md;
    522:   PetscReal         *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat;
    523:   PetscScalar       s,ss,*DHii,*T22,*T21,*T12,*Ts,*Tr,*array,*ts,sone=1.0,zero=0.0;
    524:   PetscBLASInt      lds_,lda_,k_;
    525:   const PetscInt    *idxmc;
    526:   const PetscScalar *valsc,*carray;
    527:   MatStructure      str;
    528:   Vec               vc,vc0;
    529:   PetscBool         flg;

    531:   PetscMalloc5(k*k,&T22,k*k,&T21,nmat*k*k,&T12,k*k,&Tr,k*k,&Ts);
    532:   STGetMatStructure(pep->st,&str);
    533:   KSPGetOperators(ksp,&M,NULL);
    534:   MatGetOwnershipRange(E[1],&n1,&m1);
    535:   MatGetOwnershipRange(E[0],&n0,&m0);
    536:   MatGetOwnershipRange(M,&n,NULL);
    537:   PetscMalloc1(nmat,&ts);
    538:   STGetTransform(pep->st,&flg);
    539:   if (flg) {
    540:     PetscMalloc1(pep->nmat,&At);
    541:     for (i=0;i<pep->nmat;i++) STGetMatrixTransformed(pep->st,i,&At[i]);
    542:   } else At = pep->A;
    543:   if (matctx->subc) A = matctx->A;
    544:   else A = At;
    545:   /* Form the explicit system matrix */
    546:   DHii = T12;
    547:   PetscArrayzero(DHii,k*k*nmat);
    548:   for (i=0;i<k;i++) DHii[k+i+i*lda] = 1.0/a[0];
    549:   for (d=2;d<nmat;d++) {
    550:     for (j=0;j<k;j++) {
    551:       for (i=0;i<k;i++) {
    552:         DHii[d*k+i+j*lda] = ((h-b[d-1])*DHii[(d-1)*k+i+j*lda]+fH[(d-1)*k+i+j*lda]-g[d-1]*DHii[(d-2)*k+i+j*lda])/a[d-1];
    553:       }
    554:     }
    555:   }

    557:   /* T11 */
    558:   if (!matctx->compM1) {
    559:     MatCopy(A[0],E[0],DIFFERENT_NONZERO_PATTERN);
    560:     PEPEvaluateBasis(pep,h,0,Ts,NULL);
    561:     for (j=1;j<nmat;j++) MatAXPY(E[0],Ts[j],A[j],str);
    562:   }
    563:   for (i=n0;i<m0;i++) {
    564:     MatGetRow(E[0],i,&ncols,&idxmc,&valsc);
    565:     idx = n+i-n0;
    566:     for (j=0;j<ncols;j++) {
    567:       idxg[j] = matctx->map0[idxmc[j]];
    568:     }
    569:     MatSetValues(M,1,&idx,ncols,idxg,valsc,INSERT_VALUES);
    570:     MatRestoreRow(E[0],i,&ncols,&idxmc,&valsc);
    571:   }

    573:   /* T22 */
    574:   PetscBLASIntCast(lds,&lds_);
    575:   PetscBLASIntCast(k,&k_);
    576:   PetscBLASIntCast(lda,&lda_);
    577:   PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,S,&lds_,S,&lds_,&zero,Tr,&k_));
    578:   for (i=1;i<deg;i++) {
    579:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,Tr,&k_,DHii+i*k,&lda_,&zero,Ts,&k_));
    580:     s = (i==1)?0.0:1.0;
    581:     PetscCallBLAS("BLASgemm",BLASgemm_("C","N",&k_,&k_,&k_,&sone,fH+i*k,&lda_,Ts,&k_,&s,T22,&k_));
    582:   }
    583:   for (j=0;j<k;j++) idxp[j] = matctx->map1[j];
    584:   for (i=0;i<m1-n1;i++) {
    585:     idx = n+m0-n0+i;
    586:     for (j=0;j<k;j++) {
    587:       Tr[j] = T22[n1+i+j*k];
    588:     }
    589:     MatSetValues(M,1,&idx,k,idxp,Tr,INSERT_VALUES);
    590:   }

    592:   /* T21 */
    593:   for (i=1;i<deg;i++) {
    594:     s = (i==1)?0.0:1.0;
    595:     ss = PetscConj(fh[i]);
    596:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&ss,S,&lds_,fH+i*k,&lda_,&s,T21,&k_));
    597:   }
    598:   BVSetActiveColumns(W,0,k);
    599:   MatCreateSeqDense(PETSC_COMM_SELF,k,k,T21,&Mk);
    600:   BVMult(W,1.0,0.0,V,Mk);
    601:   for (i=0;i<k;i++) {
    602:     BVGetColumn(W,i,&vc);
    603:     VecConjugate(vc);
    604:     VecGetArrayRead(vc,&carray);
    605:     idx = matctx->map1[i];
    606:     MatSetValues(M,1,&idx,m0-n0,matctx->map0+n0,carray,INSERT_VALUES);
    607:     VecRestoreArrayRead(vc,&carray);
    608:     BVRestoreColumn(W,i,&vc);
    609:   }

    611:   /* T12 */
    612:   for (i=1;i<nmat;i++) {
    613:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,S,&lds_,DHii+i*k,&lda_,&zero,Ts,&k_));
    614:     for (j=0;j<k;j++) PetscArraycpy(T12+i*k+j*lda,Ts+j*k,k);
    615:   }
    616:   MatCreateSeqDense(PETSC_COMM_SELF,k,nmat-1,NULL,&Md);
    617:   for (i=0;i<nmat;i++) ts[i] = 1.0;
    618:   for (j=0;j<k;j++) {
    619:     MatDenseGetArrayWrite(Md,&array);
    620:     PetscArraycpy(array,T12+k+j*lda,(nmat-1)*k);
    621:     MatDenseRestoreArrayWrite(Md,&array);
    622:     BVSetActiveColumns(W,0,nmat-1);
    623:     BVMult(W,1.0,0.0,V,Md);
    624:     for (i=nmat-1;i>0;i--) {
    625:       BVGetColumn(W,i-1,&vc0);
    626:       BVGetColumn(W,i,&vc);
    627:       MatMult(A[i],vc0,vc);
    628:       BVRestoreColumn(W,i-1,&vc0);
    629:       BVRestoreColumn(W,i,&vc);
    630:     }
    631:     BVSetActiveColumns(W,1,nmat);
    632:     BVGetColumn(W,0,&vc0);
    633:     BVMultVec(W,1.0,0.0,vc0,ts);
    634:     VecGetArrayRead(vc0,&carray);
    635:     idx = matctx->map1[j];
    636:     MatSetValues(M,m0-n0,matctx->map0+n0,1,&idx,carray,INSERT_VALUES);
    637:     VecRestoreArrayRead(vc0,&carray);
    638:     BVRestoreColumn(W,0,&vc0);
    639:   }
    640:   MatAssemblyBegin(M,MAT_FINAL_ASSEMBLY);
    641:   MatAssemblyEnd(M,MAT_FINAL_ASSEMBLY);
    642:   PEP_KSPSetOperators(ksp,M,M);
    643:   KSPSetUp(ksp);
    644:   PetscFree(ts);
    645:   MatDestroy(&Mk);
    646:   MatDestroy(&Md);
    647:   if (flg) PetscFree(At);
    648:   PetscFree5(T22,T21,T12,Tr,Ts);
    649:   return 0;
    650: }

    652: static PetscErrorCode NRefSysSolve_explicit(PetscInt k,KSP ksp,Vec Rv,PetscScalar *Rh,Vec dVi,PetscScalar *dHi,PEP_REFINE_EXPLICIT *matctx)
    653: {
    654:   PetscInt          n0,m0,n1,m1,i;
    655:   PetscScalar       *arrayV;
    656:   const PetscScalar *array;

    658:   MatGetOwnershipRange(matctx->E[1],&n1,&m1);
    659:   MatGetOwnershipRange(matctx->E[0],&n0,&m0);

    661:   /* Right side */
    662:   VecGetArrayRead(Rv,&array);
    663:   VecSetValues(matctx->tN,m0-n0,matctx->map0+n0,array,INSERT_VALUES);
    664:   VecRestoreArrayRead(Rv,&array);
    665:   VecSetValues(matctx->tN,m1-n1,matctx->map1+n1,Rh+n1,INSERT_VALUES);
    666:   VecAssemblyBegin(matctx->tN);
    667:   VecAssemblyEnd(matctx->tN);

    669:   /* Solve */
    670:   KSPSolve(ksp,matctx->tN,matctx->ttN);

    672:   /* Retrieve solution */
    673:   VecGetArray(dVi,&arrayV);
    674:   VecGetArrayRead(matctx->ttN,&array);
    675:   PetscArraycpy(arrayV,array,m0-n0);
    676:   VecRestoreArray(dVi,&arrayV);
    677:   if (!matctx->subc) {
    678:     VecGetArray(matctx->t1,&arrayV);
    679:     for (i=0;i<m1-n1;i++) arrayV[i] =  array[m0-n0+i];
    680:     VecRestoreArray(matctx->t1,&arrayV);
    681:     VecRestoreArrayRead(matctx->ttN,&array);
    682:     VecScatterBegin(matctx->scatterctx,matctx->t1,matctx->vseq,INSERT_VALUES,SCATTER_FORWARD);
    683:     VecScatterEnd(matctx->scatterctx,matctx->t1,matctx->vseq,INSERT_VALUES,SCATTER_FORWARD);
    684:     VecGetArrayRead(matctx->vseq,&array);
    685:     for (i=0;i<k;i++) dHi[i] = array[i];
    686:     VecRestoreArrayRead(matctx->vseq,&array);
    687:   }
    688:   return 0;
    689: }

    691: static PetscErrorCode NRefSysIter(PetscInt i,PEP pep,PetscInt k,KSP ksp,PetscScalar *fH,PetscScalar *S,PetscInt lds,PetscScalar *fh,PetscScalar *H,PetscInt ldh,Vec Rv,PetscScalar *Rh,BV V,Vec dVi,PetscScalar *dHi,PEP_REFINE_EXPLICIT *matctx,BV W)
    692: {
    693:   PetscInt            j,m,lda=pep->nmat*k,n0,m0,idx;
    694:   PetscMPIInt         root,len;
    695:   PetscScalar         *array2,h;
    696:   const PetscScalar   *array;
    697:   Vec                 R,Vi;
    698:   PEP_REFINE_MATSHELL *ctx;
    699:   Mat                 M;

    701:   if (!matctx || !matctx->subc) {
    702:     for (j=0;j<pep->nmat;j++) fh[j] = fH[j*k+i+i*lda];
    703:     h   = H[i+i*ldh];
    704:     idx = i;
    705:     R   = Rv;
    706:     Vi  = dVi;
    707:     switch (pep->scheme) {
    708:     case PEP_REFINE_SCHEME_EXPLICIT:
    709:       NRefSysSetup_explicit(pep,k,ksp,fH,S,lds,fh,h,V,matctx,W);
    710:       matctx->compM1 = PETSC_FALSE;
    711:       break;
    712:     case PEP_REFINE_SCHEME_MBE:
    713:       NRefSysSetup_mbe(pep,k,ksp,fH,S,lds,fh,h,V,matctx);
    714:       matctx->compM1 = PETSC_FALSE;
    715:       break;
    716:     case PEP_REFINE_SCHEME_SCHUR:
    717:       KSPGetOperators(ksp,&M,NULL);
    718:       MatShellGetContext(M,&ctx);
    719:       NRefSysSetup_shell(pep,k,fH,S,lds,fh,h,ctx);
    720:       ctx->compM1 = PETSC_FALSE;
    721:       break;
    722:     }
    723:   } else {
    724:     if (i%matctx->subc->n==0 && (idx=i+matctx->subc->color)<k) {
    725:       for (j=0;j<pep->nmat;j++) fh[j] = fH[j*k+idx+idx*lda];
    726:       h = H[idx+idx*ldh];
    727:       matctx->idx = idx;
    728:       switch (pep->scheme) {
    729:       case PEP_REFINE_SCHEME_EXPLICIT:
    730:         NRefSysSetup_explicit(pep,k,ksp,fH,S,lds,fh,h,matctx->V,matctx,matctx->W);
    731:         matctx->compM1 = PETSC_FALSE;
    732:         break;
    733:       case PEP_REFINE_SCHEME_MBE:
    734:         NRefSysSetup_mbe(pep,k,ksp,fH,S,lds,fh,h,matctx->V,matctx);
    735:         matctx->compM1 = PETSC_FALSE;
    736:         break;
    737:       case PEP_REFINE_SCHEME_SCHUR:
    738:         break;
    739:       }
    740:     } else idx = matctx->idx;
    741:     VecScatterBegin(matctx->scatter_id[i%matctx->subc->n],Rv,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    742:     VecScatterEnd(matctx->scatter_id[i%matctx->subc->n],Rv,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    743:     VecGetArrayRead(matctx->tg,&array);
    744:     VecPlaceArray(matctx->t,array);
    745:     VecCopy(matctx->t,matctx->Rv);
    746:     VecResetArray(matctx->t);
    747:     VecRestoreArrayRead(matctx->tg,&array);
    748:     R  = matctx->Rv;
    749:     Vi = matctx->Vi;
    750:   }
    751:   if (idx==i && idx<k) {
    752:     switch (pep->scheme) {
    753:       case PEP_REFINE_SCHEME_EXPLICIT:
    754:         NRefSysSolve_explicit(k,ksp,R,Rh,Vi,dHi,matctx);
    755:         break;
    756:       case PEP_REFINE_SCHEME_MBE:
    757:         NRefSysSolve_mbe(k,k,matctx->W,matctx->w,matctx->Wt,matctx->wt,matctx->d,matctx->dt,ksp,matctx->M2,matctx->M3 ,matctx->M4,PETSC_FALSE,R,Rh,Vi,dHi,matctx->t);
    758:         break;
    759:       case PEP_REFINE_SCHEME_SCHUR:
    760:         NRefSysSolve_shell(ksp,pep->nmat,R,Rh,k,Vi,dHi);
    761:         break;
    762:     }
    763:   }
    764:   if (matctx && matctx->subc) {
    765:     VecGetLocalSize(Vi,&m);
    766:     VecGetArrayRead(Vi,&array);
    767:     VecGetArray(matctx->tg,&array2);
    768:     PetscArraycpy(array2,array,m);
    769:     VecRestoreArray(matctx->tg,&array2);
    770:     VecRestoreArrayRead(Vi,&array);
    771:     VecScatterBegin(matctx->scatter_id[i%matctx->subc->n],matctx->tg,dVi,INSERT_VALUES,SCATTER_REVERSE);
    772:     VecScatterEnd(matctx->scatter_id[i%matctx->subc->n],matctx->tg,dVi,INSERT_VALUES,SCATTER_REVERSE);
    773:     switch (pep->scheme) {
    774:     case PEP_REFINE_SCHEME_EXPLICIT:
    775:       MatGetOwnershipRange(matctx->E[0],&n0,&m0);
    776:       VecGetArrayRead(matctx->ttN,&array);
    777:       VecPlaceArray(matctx->tp,array+m0-n0);
    778:       VecScatterBegin(matctx->scatterp_id[i%matctx->subc->n],matctx->tp,matctx->tpg,INSERT_VALUES,SCATTER_FORWARD);
    779:       VecScatterEnd(matctx->scatterp_id[i%matctx->subc->n],matctx->tp,matctx->tpg,INSERT_VALUES,SCATTER_FORWARD);
    780:       VecResetArray(matctx->tp);
    781:       VecRestoreArrayRead(matctx->ttN,&array);
    782:       VecGetArrayRead(matctx->tpg,&array);
    783:       for (j=0;j<k;j++) dHi[j] = array[j];
    784:       VecRestoreArrayRead(matctx->tpg,&array);
    785:       break;
    786:      case PEP_REFINE_SCHEME_MBE:
    787:       root = 0;
    788:       for (j=0;j<i%matctx->subc->n;j++) root += matctx->subc->subsize[j];
    789:       PetscMPIIntCast(k,&len);
    790:       MPI_Bcast(dHi,len,MPIU_SCALAR,root,matctx->subc->dupparent);
    791:       break;
    792:     case PEP_REFINE_SCHEME_SCHUR:
    793:       break;
    794:     }
    795:   }
    796:   return 0;
    797: }

    799: static PetscErrorCode PEPNRefForwardSubstitution(PEP pep,PetscInt k,PetscScalar *S,PetscInt lds,PetscScalar *H,PetscInt ldh,PetscScalar *fH,BV dV,PetscScalar *dVS,PetscInt *rds,PetscScalar *dH,PetscInt lddh,KSP ksp,PEP_REFINE_EXPLICIT *matctx)
    800: {
    801:   PetscInt            i,nmat=pep->nmat,lda=nmat*k;
    802:   PetscScalar         *fh,*Rh,*DfH;
    803:   PetscReal           norm;
    804:   BV                  W;
    805:   Vec                 Rv,t,dvi;
    806:   PEP_REFINE_MATSHELL *ctx;
    807:   Mat                 M,*At;
    808:   PetscBool           flg,lindep;

    810:   PetscMalloc2(nmat*k*k,&DfH,k,&Rh);
    811:   *rds = 0;
    812:   BVCreateVec(pep->V,&Rv);
    813:   switch (pep->scheme) {
    814:   case PEP_REFINE_SCHEME_EXPLICIT:
    815:     BVCreateVec(pep->V,&t);
    816:     BVDuplicateResize(pep->V,PetscMax(k,nmat),&W);
    817:     PetscMalloc1(nmat,&fh);
    818:     break;
    819:   case PEP_REFINE_SCHEME_MBE:
    820:     if (matctx->subc) {
    821:       BVCreateVec(pep->V,&t);
    822:       BVDuplicateResize(pep->V,PetscMax(k,nmat),&W);
    823:     } else {
    824:       W = matctx->W;
    825:       PetscObjectReference((PetscObject)W);
    826:       t = matctx->t;
    827:       PetscObjectReference((PetscObject)t);
    828:     }
    829:     BVScale(matctx->W,0.0);
    830:     BVScale(matctx->Wt,0.0);
    831:     BVScale(matctx->M2,0.0);
    832:     BVScale(matctx->M3,0.0);
    833:     PetscMalloc1(nmat,&fh);
    834:     break;
    835:   case PEP_REFINE_SCHEME_SCHUR:
    836:     KSPGetOperators(ksp,&M,NULL);
    837:     MatShellGetContext(M,&ctx);
    838:     BVCreateVec(pep->V,&t);
    839:     BVDuplicateResize(pep->V,PetscMax(k,nmat),&W);
    840:     fh = ctx->fih;
    841:     break;
    842:   }
    843:   PetscArrayzero(dVS,2*k*k);
    844:   PetscArrayzero(DfH,lda*k);
    845:   STGetTransform(pep->st,&flg);
    846:   if (flg) {
    847:     PetscMalloc1(pep->nmat,&At);
    848:     for (i=0;i<pep->nmat;i++) STGetMatrixTransformed(pep->st,i,&At[i]);
    849:   } else At = pep->A;

    851:   /* Main loop for computing the i-th columns of dX and dS */
    852:   for (i=0;i<k;i++) {
    853:     /* Compute and update i-th column of the right hand side */
    854:     PetscArrayzero(Rh,k);
    855:     NRefRightSide(nmat,pep->pbc,At,k,pep->V,S,lds,i,H,ldh,fH,DfH,dH,dV,dVS,*rds,Rv,Rh,W,t);

    857:     /* Update and solve system */
    858:     BVGetColumn(dV,i,&dvi);
    859:     NRefSysIter(i,pep,k,ksp,fH,S,lds,fh,H,ldh,Rv,Rh,pep->V,dvi,dH+i*k,matctx,W);
    860:     /* Orthogonalize computed solution */
    861:     BVOrthogonalizeVec(pep->V,dvi,dVS+i*2*k,&norm,&lindep);
    862:     BVRestoreColumn(dV,i,&dvi);
    863:     if (!lindep) {
    864:       BVOrthogonalizeColumn(dV,i,dVS+k+i*2*k,&norm,&lindep);
    865:       if (!lindep) {
    866:         dVS[k+i+i*2*k] = norm;
    867:         BVScaleColumn(dV,i,1.0/norm);
    868:         (*rds)++;
    869:       }
    870:     }
    871:   }
    872:   BVSetActiveColumns(dV,0,*rds);
    873:   VecDestroy(&t);
    874:   VecDestroy(&Rv);
    875:   BVDestroy(&W);
    876:   if (flg) PetscFree(At);
    877:   PetscFree2(DfH,Rh);
    878:   if (pep->scheme!=PEP_REFINE_SCHEME_SCHUR) PetscFree(fh);
    879:   return 0;
    880: }

    882: static PetscErrorCode NRefOrthogStep(PEP pep,PetscInt k,PetscScalar *H,PetscInt ldh,PetscScalar *fH,PetscScalar *S,PetscInt lds)
    883: {
    884:   PetscInt       j,nmat=pep->nmat,deg=nmat-1,lda=nmat*k,ldg;
    885:   PetscScalar    *G,*tau,sone=1.0,zero=0.0,*work;
    886:   PetscBLASInt   lds_,k_,ldh_,info,ldg_,lda_;

    888:   PetscMalloc3(k,&tau,k,&work,deg*k*k,&G);
    889:   PetscBLASIntCast(lds,&lds_);
    890:   PetscBLASIntCast(lda,&lda_);
    891:   PetscBLASIntCast(k,&k_);

    893:   /* Form auxiliary matrix for the orthogonalization step */
    894:   ldg = deg*k;
    895:   PEPEvaluateBasisforMatrix(pep,nmat,k,H,ldh,fH);
    896:   PetscBLASIntCast(ldg,&ldg_);
    897:   PetscBLASIntCast(ldh,&ldh_);
    898:   for (j=0;j<deg;j++) {
    899:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&sone,S,&lds_,fH+j*k,&lda_,&zero,G+j*k,&ldg_));
    900:   }
    901:   /* Orthogonalize and update S */
    902:   PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    903:   PetscCallBLAS("LAPACKgeqrf",LAPACKgeqrf_(&ldg_,&k_,G,&ldg_,tau,work,&k_,&info));
    904:   PetscFPTrapPop();
    905:   SlepcCheckLapackInfo("geqrf",info);
    906:   PetscCallBLAS("BLAStrsm",BLAStrsm_("R","U","N","N",&k_,&k_,&sone,G,&ldg_,S,&lds_));

    908:   /* Update H */
    909:   PetscCallBLAS("BLAStrmm",BLAStrmm_("L","U","N","N",&k_,&k_,&sone,G,&ldg_,H,&ldh_));
    910:   PetscCallBLAS("BLAStrsm",BLAStrsm_("R","U","N","N",&k_,&k_,&sone,G,&ldg_,H,&ldh_));
    911:   PetscFree3(tau,work,G);
    912:   return 0;
    913: }

    915: static PetscErrorCode PEPNRefUpdateInvPair(PEP pep,PetscInt k,PetscScalar *H,PetscInt ldh,PetscScalar *fH,PetscScalar *dH,PetscScalar *S,PetscInt lds,BV dV,PetscScalar *dVS,PetscInt rds)
    916: {
    917:   PetscInt       i,j,nmat=pep->nmat,lda=nmat*k;
    918:   PetscScalar    *tau,*array,*work;
    919:   PetscBLASInt   lds_,k_,lda_,ldh_,kdrs_,info,k2_;
    920:   Mat            M0;

    922:   PetscMalloc2(k,&tau,k,&work);
    923:   PetscBLASIntCast(lds,&lds_);
    924:   PetscBLASIntCast(lda,&lda_);
    925:   PetscBLASIntCast(ldh,&ldh_);
    926:   PetscBLASIntCast(k,&k_);
    927:   PetscBLASIntCast(2*k,&k2_);
    928:   PetscBLASIntCast((k+rds),&kdrs_);
    929:   /* Update H */
    930:   for (j=0;j<k;j++) {
    931:     for (i=0;i<k;i++) H[i+j*ldh] -= dH[i+j*k];
    932:   }
    933:   /* Update V */
    934:   for (j=0;j<k;j++) {
    935:     for (i=0;i<k;i++) dVS[i+j*2*k] = -dVS[i+j*2*k]+S[i+j*lds];
    936:     for (i=k;i<2*k;i++) dVS[i+j*2*k] = -dVS[i+j*2*k];
    937:   }
    938:   PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    939:   PetscCallBLAS("LAPACKgeqrf",LAPACKgeqrf_(&kdrs_,&k_,dVS,&k2_,tau,work,&k_,&info));
    940:   SlepcCheckLapackInfo("geqrf",info);
    941:   /* Copy triangular matrix in S */
    942:   for (j=0;j<k;j++) {
    943:     for (i=0;i<=j;i++) S[i+j*lds] = dVS[i+j*2*k];
    944:     for (i=j+1;i<k;i++) S[i+j*lds] = 0.0;
    945:   }
    946:   PetscCallBLAS("LAPACKorgqr",LAPACKorgqr_(&k2_,&k_,&k_,dVS,&k2_,tau,work,&k_,&info));
    947:   SlepcCheckLapackInfo("orgqr",info);
    948:   PetscFPTrapPop();
    949:   MatCreateSeqDense(PETSC_COMM_SELF,k,k,NULL,&M0);
    950:   MatDenseGetArrayWrite(M0,&array);
    951:   for (j=0;j<k;j++) PetscArraycpy(array+j*k,dVS+j*2*k,k);
    952:   MatDenseRestoreArrayWrite(M0,&array);
    953:   BVMultInPlace(pep->V,M0,0,k);
    954:   if (rds) {
    955:     MatDenseGetArrayWrite(M0,&array);
    956:     for (j=0;j<k;j++) PetscArraycpy(array+j*k,dVS+k+j*2*k,rds);
    957:     MatDenseRestoreArrayWrite(M0,&array);
    958:     BVMultInPlace(dV,M0,0,k);
    959:     BVMult(pep->V,1.0,1.0,dV,NULL);
    960:   }
    961:   MatDestroy(&M0);
    962:   NRefOrthogStep(pep,k,H,ldh,fH,S,lds);
    963:   PetscFree2(tau,work);
    964:   return 0;
    965: }

    967: static PetscErrorCode PEPNRefSetUp(PEP pep,PetscInt k,PetscScalar *H,PetscInt ldh,PEP_REFINE_EXPLICIT *matctx,PetscBool ini)
    968: {
    969:   PEP_REFINE_MATSHELL *ctx;
    970:   PetscScalar         t,*coef;
    971:   const PetscScalar   *array;
    972:   MatStructure        str;
    973:   PetscInt            j,nmat=pep->nmat,n0,m0,n1,m1,n0_,m0_,n1_,m1_,N0,N1,p,*idx1,*idx2,count,si,i,l0;
    974:   MPI_Comm            comm;
    975:   PetscMPIInt         np;
    976:   const PetscInt      *rgs0,*rgs1;
    977:   Mat                 B,C,*E,*A,*At;
    978:   IS                  is1,is2;
    979:   Vec                 v;
    980:   PetscBool           flg;
    981:   Mat                 M,P;

    983:   PetscMalloc1(nmat,&coef);
    984:   STGetTransform(pep->st,&flg);
    985:   if (flg) {
    986:     PetscMalloc1(pep->nmat,&At);
    987:     for (i=0;i<pep->nmat;i++) STGetMatrixTransformed(pep->st,i,&At[i]);
    988:   } else At = pep->A;
    989:   switch (pep->scheme) {
    990:   case PEP_REFINE_SCHEME_EXPLICIT:
    991:     if (ini) {
    992:       if (matctx->subc) {
    993:         A = matctx->A;
    994:         PetscSubcommGetChild(matctx->subc,&comm);
    995:       } else {
    996:         A = At;
    997:         PetscObjectGetComm((PetscObject)pep,&comm);
    998:       }
    999:       E = matctx->E;
    1000:       STGetMatStructure(pep->st,&str);
    1001:       MatDuplicate(A[0],MAT_COPY_VALUES,&E[0]);
    1002:       j = (matctx->subc)?matctx->subc->color:0;
    1003:       PEPEvaluateBasis(pep,H[j+j*ldh],0,coef,NULL);
    1004:       for (j=1;j<nmat;j++) MatAXPY(E[0],coef[j],A[j],str);
    1005:       MatCreateDense(comm,PETSC_DECIDE,PETSC_DECIDE,k,k,NULL,&E[1]);
    1006:       MatGetOwnershipRange(E[0],&n0,&m0);
    1007:       MatGetOwnershipRange(E[1],&n1,&m1);
    1008:       MatGetOwnershipRangeColumn(E[0],&n0_,&m0_);
    1009:       MatGetOwnershipRangeColumn(E[1],&n1_,&m1_);
    1010:       /* T12 and T21 are computed from V and V*, so,
    1011:          they must have the same column and row ranges */
    1013:       MatCreateDense(comm,m0-n0,m1_-n1_,PETSC_DECIDE,PETSC_DECIDE,NULL,&B);
    1014:       MatCreateDense(comm,m1-n1,m0_-n0_,PETSC_DECIDE,PETSC_DECIDE,NULL,&C);
    1015:       MatCreateTile(1.0,E[0],1.0,B,1.0,C,1.0,E[1],&M);
    1016:       MatDestroy(&B);
    1017:       MatDestroy(&C);
    1018:       matctx->compM1 = PETSC_TRUE;
    1019:       MatGetSize(E[0],NULL,&N0);
    1020:       MatGetSize(E[1],NULL,&N1);
    1021:       MPI_Comm_size(PetscObjectComm((PetscObject)M),&np);
    1022:       MatGetOwnershipRanges(E[0],&rgs0);
    1023:       MatGetOwnershipRanges(E[1],&rgs1);
    1024:       PetscMalloc4(PetscMax(k,N1),&matctx->idxp,N0,&matctx->idxg,N0,&matctx->map0,N1,&matctx->map1);
    1025:       /* Create column (and row) mapping */
    1026:       for (p=0;p<np;p++) {
    1027:         for (j=rgs0[p];j<rgs0[p+1];j++) matctx->map0[j] = j+rgs1[p];
    1028:         for (j=rgs1[p];j<rgs1[p+1];j++) matctx->map1[j] = j+rgs0[p+1];
    1029:       }
    1030:       MatCreateVecs(M,NULL,&matctx->tN);
    1031:       MatCreateVecs(matctx->E[1],NULL,&matctx->t1);
    1032:       VecDuplicate(matctx->tN,&matctx->ttN);
    1033:       if (matctx->subc) {
    1034:         MPI_Comm_size(PetscObjectComm((PetscObject)pep),&np);
    1035:         count = np*k;
    1036:         PetscMalloc2(count,&idx1,count,&idx2);
    1037:         VecCreateMPI(PetscObjectComm((PetscObject)pep),m1-n1,PETSC_DECIDE,&matctx->tp);
    1038:         VecGetOwnershipRange(matctx->tp,&l0,NULL);
    1039:         VecCreateMPI(PetscObjectComm((PetscObject)pep),k,PETSC_DECIDE,&matctx->tpg);
    1040:         for (si=0;si<matctx->subc->n;si++) {
    1041:           if (matctx->subc->color==si) {
    1042:             j=0;
    1043:             if (matctx->subc->color==si) {
    1044:               for (p=0;p<np;p++) {
    1045:                 for (i=n1;i<m1;i++) {
    1046:                   idx1[j] = l0+i-n1;
    1047:                   idx2[j++] =p*k+i;
    1048:                 }
    1049:               }
    1050:             }
    1051:             count = np*(m1-n1);
    1052:           } else count =0;
    1053:           ISCreateGeneral(PetscObjectComm((PetscObject)pep),count,idx1,PETSC_COPY_VALUES,&is1);
    1054:           ISCreateGeneral(PetscObjectComm((PetscObject)pep),count,idx2,PETSC_COPY_VALUES,&is2);
    1055:           VecScatterCreate(matctx->tp,is1,matctx->tpg,is2,&matctx->scatterp_id[si]);
    1056:           ISDestroy(&is1);
    1057:           ISDestroy(&is2);
    1058:         }
    1059:         PetscFree2(idx1,idx2);
    1060:       } else VecScatterCreateToAll(matctx->t1,&matctx->scatterctx,&matctx->vseq);
    1061:       P = M;
    1062:     } else {
    1063:       if (matctx->subc) {
    1064:         /* Scatter vectors pep->V */
    1065:         for (i=0;i<k;i++) {
    1066:           BVGetColumn(pep->V,i,&v);
    1067:           VecScatterBegin(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1068:           VecScatterEnd(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1069:           BVRestoreColumn(pep->V,i,&v);
    1070:           VecGetArrayRead(matctx->tg,&array);
    1071:           VecPlaceArray(matctx->t,(const PetscScalar*)array);
    1072:           BVInsertVec(matctx->V,i,matctx->t);
    1073:           VecResetArray(matctx->t);
    1074:           VecRestoreArrayRead(matctx->tg,&array);
    1075:         }
    1076:       }
    1077:     }
    1078:     break;
    1079:   case PEP_REFINE_SCHEME_MBE:
    1080:     if (ini) {
    1081:       if (matctx->subc) {
    1082:         A = matctx->A;
    1083:         PetscSubcommGetChild(matctx->subc,&comm);
    1084:       } else {
    1085:         matctx->V = pep->V;
    1086:         A = At;
    1087:         PetscObjectGetComm((PetscObject)pep,&comm);
    1088:         MatCreateVecs(pep->A[0],&matctx->t,NULL);
    1089:       }
    1090:       STGetMatStructure(pep->st,&str);
    1091:       MatDuplicate(A[0],MAT_COPY_VALUES,&matctx->M1);
    1092:       j = (matctx->subc)?matctx->subc->color:0;
    1093:       PEPEvaluateBasis(pep,H[j+j*ldh],0,coef,NULL);
    1094:       for (j=1;j<nmat;j++) MatAXPY(matctx->M1,coef[j],A[j],str);
    1095:       BVDuplicateResize(matctx->V,PetscMax(k,pep->nmat),&matctx->W);
    1096:       BVDuplicateResize(matctx->V,k,&matctx->M2);
    1097:       BVDuplicate(matctx->M2,&matctx->M3);
    1098:       BVDuplicate(matctx->M2,&matctx->Wt);
    1099:       PetscMalloc5(k*k,&matctx->M4,k*k,&matctx->w,k*k,&matctx->wt,k,&matctx->d,k,&matctx->dt);
    1100:       matctx->compM1 = PETSC_TRUE;
    1101:       M = matctx->M1;
    1102:       P = M;
    1103:     }
    1104:     break;
    1105:   case PEP_REFINE_SCHEME_SCHUR:
    1106:     if (ini) {
    1107:       PetscObjectGetComm((PetscObject)pep,&comm);
    1108:       MatGetSize(At[0],&m0,&n0);
    1109:       PetscMalloc1(1,&ctx);
    1110:       STGetMatStructure(pep->st,&str);
    1111:       /* Create a shell matrix to solve the linear system */
    1112:       ctx->V = pep->V;
    1113:       ctx->k = k; ctx->nmat = nmat;
    1114:       PetscMalloc5(nmat,&ctx->A,k*k,&ctx->M4,k,&ctx->pM4,2*k*k,&ctx->work,nmat,&ctx->fih);
    1115:       for (i=0;i<nmat;i++) ctx->A[i] = At[i];
    1116:       PetscArrayzero(ctx->M4,k*k);
    1117:       MatCreateShell(comm,PETSC_DECIDE,PETSC_DECIDE,m0,n0,ctx,&M);
    1118:       MatShellSetOperation(M,MATOP_MULT,(void(*)(void))MatMult_FS);
    1119:       BVDuplicateResize(ctx->V,PetscMax(k,pep->nmat),&ctx->W);
    1120:       BVDuplicateResize(ctx->V,k,&ctx->M2);
    1121:       BVDuplicate(ctx->M2,&ctx->M3);
    1122:       BVCreateVec(pep->V,&ctx->t);
    1123:       MatDuplicate(At[0],MAT_COPY_VALUES,&ctx->M1);
    1124:       PEPEvaluateBasis(pep,H[0],0,coef,NULL);
    1125:       for (j=1;j<nmat;j++) MatAXPY(ctx->M1,coef[j],At[j],str);
    1126:       MatDuplicate(At[0],MAT_COPY_VALUES,&P);
    1127:       /* Compute a precond matrix for the system */
    1128:       t = H[0];
    1129:       PEPEvaluateBasis(pep,t,0,coef,NULL);
    1130:       for (j=1;j<nmat;j++) MatAXPY(P,coef[j],At[j],str);
    1131:       ctx->compM1 = PETSC_TRUE;
    1132:     }
    1133:     break;
    1134:   }
    1135:   if (ini) {
    1136:     PEPRefineGetKSP(pep,&pep->refineksp);
    1137:     KSPSetErrorIfNotConverged(pep->refineksp,PETSC_TRUE);
    1138:     PEP_KSPSetOperators(pep->refineksp,M,P);
    1139:     KSPSetFromOptions(pep->refineksp);
    1140:   }

    1142:   if (!ini && matctx && matctx->subc) {
    1143:      /* Scatter vectors pep->V */
    1144:     for (i=0;i<k;i++) {
    1145:       BVGetColumn(pep->V,i,&v);
    1146:       VecScatterBegin(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1147:       VecScatterEnd(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1148:       BVRestoreColumn(pep->V,i,&v);
    1149:       VecGetArrayRead(matctx->tg,&array);
    1150:       VecPlaceArray(matctx->t,(const PetscScalar*)array);
    1151:       BVInsertVec(matctx->V,i,matctx->t);
    1152:       VecResetArray(matctx->t);
    1153:       VecRestoreArrayRead(matctx->tg,&array);
    1154:     }
    1155:    }
    1156:   PetscFree(coef);
    1157:   if (flg) PetscFree(At);
    1158:   return 0;
    1159: }

    1161: static PetscErrorCode NRefSubcommSetup(PEP pep,PetscInt k,PEP_REFINE_EXPLICIT *matctx,PetscInt nsubc)
    1162: {
    1163:   PetscInt          i,si,j,m0,n0,nloc0,nloc_sub,*idx1,*idx2;
    1164:   IS                is1,is2;
    1165:   BVType            type;
    1166:   Vec               v;
    1167:   const PetscScalar *array;
    1168:   Mat               *A;
    1169:   PetscBool         flg;
    1170:   MPI_Comm          contpar,child;

    1172:   STGetTransform(pep->st,&flg);
    1173:   if (flg) {
    1174:     PetscMalloc1(pep->nmat,&A);
    1175:     for (i=0;i<pep->nmat;i++) STGetMatrixTransformed(pep->st,i,&A[i]);
    1176:   } else A = pep->A;
    1177:   PetscSubcommGetChild(matctx->subc,&child);
    1178:   PetscSubcommGetContiguousParent(matctx->subc,&contpar);

    1180:   /* Duplicate pep matrices */
    1181:   PetscMalloc3(pep->nmat,&matctx->A,nsubc,&matctx->scatter_id,nsubc,&matctx->scatterp_id);
    1182:   for (i=0;i<pep->nmat;i++) MatCreateRedundantMatrix(A[i],0,child,MAT_INITIAL_MATRIX,&matctx->A[i]);

    1184:   /* Create Scatter */
    1185:   MatCreateVecs(matctx->A[0],&matctx->t,NULL);
    1186:   MatGetLocalSize(matctx->A[0],&nloc_sub,NULL);
    1187:   VecCreateMPI(contpar,nloc_sub,PETSC_DECIDE,&matctx->tg);
    1188:   BVGetColumn(pep->V,0,&v);
    1189:   VecGetOwnershipRange(v,&n0,&m0);
    1190:   nloc0 = m0-n0;
    1191:   PetscMalloc2(matctx->subc->n*nloc0,&idx1,matctx->subc->n*nloc0,&idx2);
    1192:   j = 0;
    1193:   for (si=0;si<matctx->subc->n;si++) {
    1194:     for (i=n0;i<m0;i++) {
    1195:       idx1[j]   = i;
    1196:       idx2[j++] = i+pep->n*si;
    1197:     }
    1198:   }
    1199:   ISCreateGeneral(PetscObjectComm((PetscObject)pep),matctx->subc->n*nloc0,idx1,PETSC_COPY_VALUES,&is1);
    1200:   ISCreateGeneral(PetscObjectComm((PetscObject)pep),matctx->subc->n*nloc0,idx2,PETSC_COPY_VALUES,&is2);
    1201:   VecScatterCreate(v,is1,matctx->tg,is2,&matctx->scatter_sub);
    1202:   ISDestroy(&is1);
    1203:   ISDestroy(&is2);
    1204:   for (si=0;si<matctx->subc->n;si++) {
    1205:     j=0;
    1206:     for (i=n0;i<m0;i++) {
    1207:       idx1[j] = i;
    1208:       idx2[j++] = i+pep->n*si;
    1209:     }
    1210:     ISCreateGeneral(PetscObjectComm((PetscObject)pep),nloc0,idx1,PETSC_COPY_VALUES,&is1);
    1211:     ISCreateGeneral(PetscObjectComm((PetscObject)pep),nloc0,idx2,PETSC_COPY_VALUES,&is2);
    1212:     VecScatterCreate(v,is1,matctx->tg,is2,&matctx->scatter_id[si]);
    1213:     ISDestroy(&is1);
    1214:     ISDestroy(&is2);
    1215:   }
    1216:   BVRestoreColumn(pep->V,0,&v);
    1217:   PetscFree2(idx1,idx2);

    1219:   /* Duplicate pep->V vecs */
    1220:   BVGetType(pep->V,&type);
    1221:   BVCreate(child,&matctx->V);
    1222:   BVSetType(matctx->V,type);
    1223:   BVSetSizesFromVec(matctx->V,matctx->t,k);
    1224:   if (pep->scheme==PEP_REFINE_SCHEME_EXPLICIT) BVDuplicateResize(matctx->V,PetscMax(k,pep->nmat),&matctx->W);
    1225:   for (i=0;i<k;i++) {
    1226:     BVGetColumn(pep->V,i,&v);
    1227:     VecScatterBegin(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1228:     VecScatterEnd(matctx->scatter_sub,v,matctx->tg,INSERT_VALUES,SCATTER_FORWARD);
    1229:     BVRestoreColumn(pep->V,i,&v);
    1230:     VecGetArrayRead(matctx->tg,&array);
    1231:     VecPlaceArray(matctx->t,(const PetscScalar*)array);
    1232:     BVInsertVec(matctx->V,i,matctx->t);
    1233:     VecResetArray(matctx->t);
    1234:     VecRestoreArrayRead(matctx->tg,&array);
    1235:   }

    1237:   VecDuplicate(matctx->t,&matctx->Rv);
    1238:   VecDuplicate(matctx->t,&matctx->Vi);
    1239:   if (flg) PetscFree(A);
    1240:   return 0;
    1241: }

    1243: static PetscErrorCode NRefSubcommDestroy(PEP pep,PEP_REFINE_EXPLICIT *matctx)
    1244: {
    1245:   PetscInt       i;

    1247:   VecScatterDestroy(&matctx->scatter_sub);
    1248:   for (i=0;i<matctx->subc->n;i++) VecScatterDestroy(&matctx->scatter_id[i]);
    1249:   for (i=0;i<pep->nmat;i++) MatDestroy(&matctx->A[i]);
    1250:   if (pep->scheme==PEP_REFINE_SCHEME_EXPLICIT) {
    1251:     for (i=0;i<matctx->subc->n;i++) VecScatterDestroy(&matctx->scatterp_id[i]);
    1252:     VecDestroy(&matctx->tp);
    1253:     VecDestroy(&matctx->tpg);
    1254:     BVDestroy(&matctx->W);
    1255:   }
    1256:   PetscFree3(matctx->A,matctx->scatter_id,matctx->scatterp_id);
    1257:   BVDestroy(&matctx->V);
    1258:   VecDestroy(&matctx->t);
    1259:   VecDestroy(&matctx->tg);
    1260:   VecDestroy(&matctx->Rv);
    1261:   VecDestroy(&matctx->Vi);
    1262:   return 0;
    1263: }

    1265: PetscErrorCode PEPNewtonRefinement_TOAR(PEP pep,PetscScalar sigma,PetscInt *maxits,PetscReal *tol,PetscInt k,PetscScalar *S,PetscInt lds)
    1266: {
    1267:   PetscScalar         *H,*work,*dH,*fH,*dVS;
    1268:   PetscInt            ldh,i,j,its=1,nmat=pep->nmat,nsubc=pep->npart,rds;
    1269:   PetscBLASInt        k_,ld_,*p,info;
    1270:   BV                  dV;
    1271:   PetscBool           sinvert,flg;
    1272:   PEP_REFINE_EXPLICIT *matctx=NULL;
    1273:   Vec                 v;
    1274:   Mat                 M,P;
    1275:   PEP_REFINE_MATSHELL *ctx;

    1277:   PetscLogEventBegin(PEP_Refine,pep,0,0,0);
    1279:   /* the input tolerance is not being taken into account (by the moment) */
    1280:   its = *maxits;
    1281:   PetscMalloc3(k*k,&dH,nmat*k*k,&fH,k,&work);
    1282:   DSGetLeadingDimension(pep->ds,&ldh);
    1283:   PetscMalloc1(2*k*k,&dVS);
    1284:   STGetTransform(pep->st,&flg);
    1285:   if (!flg && pep->st && pep->ops->backtransform) { /* BackTransform */
    1286:     PetscBLASIntCast(k,&k_);
    1287:     PetscBLASIntCast(ldh,&ld_);
    1288:     PetscObjectTypeCompare((PetscObject)pep->st,STSINVERT,&sinvert);
    1289:     if (sinvert) {
    1290:       DSGetArray(pep->ds,DS_MAT_A,&H);
    1291:       PetscMalloc1(k,&p);
    1292:       PetscFPTrapPush(PETSC_FP_TRAP_OFF);
    1293:       PetscCallBLAS("LAPACKgetrf",LAPACKgetrf_(&k_,&k_,H,&ld_,p,&info));
    1294:       SlepcCheckLapackInfo("getrf",info);
    1295:       PetscCallBLAS("LAPACKgetri",LAPACKgetri_(&k_,H,&ld_,p,work,&k_,&info));
    1296:       SlepcCheckLapackInfo("getri",info);
    1297:       PetscFPTrapPop();
    1298:       DSRestoreArray(pep->ds,DS_MAT_A,&H);
    1299:       pep->ops->backtransform = NULL;
    1300:     }
    1301:     if (sigma!=0.0) {
    1302:       DSGetArray(pep->ds,DS_MAT_A,&H);
    1303:       for (i=0;i<k;i++) H[i+ldh*i] += sigma;
    1304:       DSRestoreArray(pep->ds,DS_MAT_A,&H);
    1305:       pep->ops->backtransform = NULL;
    1306:     }
    1307:   }
    1308:   if ((pep->scale==PEP_SCALE_BOTH || pep->scale==PEP_SCALE_SCALAR) && pep->sfactor!=1.0) {
    1309:     DSGetArray(pep->ds,DS_MAT_A,&H);
    1310:     for (j=0;j<k;j++) {
    1311:       for (i=0;i<k;i++) H[i+j*ldh] *= pep->sfactor;
    1312:     }
    1313:     DSRestoreArray(pep->ds,DS_MAT_A,&H);
    1314:     if (!flg) {
    1315:       /* Restore original values */
    1316:       for (i=0;i<pep->nmat;i++) {
    1317:         pep->pbc[pep->nmat+i] *= pep->sfactor;
    1318:         pep->pbc[2*pep->nmat+i] *= pep->sfactor*pep->sfactor;
    1319:       }
    1320:     }
    1321:   }
    1322:   if ((pep->scale==PEP_SCALE_DIAGONAL || pep->scale==PEP_SCALE_BOTH) && pep->Dr) {
    1323:     for (i=0;i<k;i++) {
    1324:       BVGetColumn(pep->V,i,&v);
    1325:       VecPointwiseMult(v,v,pep->Dr);
    1326:       BVRestoreColumn(pep->V,i,&v);
    1327:     }
    1328:   }
    1329:   DSGetArray(pep->ds,DS_MAT_A,&H);

    1331:   NRefOrthogStep(pep,k,H,ldh,fH,S,lds);
    1332:   /* check if H is in Schur form */
    1333:   for (i=0;i<k-1;i++) {
    1334: #if !defined(PETSC_USE_COMPLEX)
    1336: #else
    1338: #endif
    1339:   }
    1341:   BVSetActiveColumns(pep->V,0,k);
    1342:   BVDuplicateResize(pep->V,k,&dV);
    1343:   if (pep->scheme!=PEP_REFINE_SCHEME_SCHUR) {
    1344:     PetscMalloc1(1,&matctx);
    1345:     if (nsubc>1) { /* splitting in subcommunicators */
    1346:       matctx->subc = pep->refinesubc;
    1347:       NRefSubcommSetup(pep,k,matctx,nsubc);
    1348:     } else matctx->subc=NULL;
    1349:   }

    1351:   /* Loop performing iterative refinements */
    1352:   for (i=0;i<its;i++) {
    1353:     /* Pre-compute the polynomial basis evaluated in H */
    1354:     PEPEvaluateBasisforMatrix(pep,nmat,k,H,ldh,fH);
    1355:     PEPNRefSetUp(pep,k,H,ldh,matctx,PetscNot(i));
    1356:     /* Solve the linear system */
    1357:     PEPNRefForwardSubstitution(pep,k,S,lds,H,ldh,fH,dV,dVS,&rds,dH,k,pep->refineksp,matctx);
    1358:     /* Update X (=V*S) and H, and orthogonalize [X;X*fH1;...;XfH(deg-1)] */
    1359:     PEPNRefUpdateInvPair(pep,k,H,ldh,fH,dH,S,lds,dV,dVS,rds);
    1360:   }
    1361:   DSRestoreArray(pep->ds,DS_MAT_A,&H);
    1362:   if (!flg && sinvert) PetscFree(p);
    1363:   PetscFree3(dH,fH,work);
    1364:   PetscFree(dVS);
    1365:   BVDestroy(&dV);
    1366:   switch (pep->scheme) {
    1367:   case PEP_REFINE_SCHEME_EXPLICIT:
    1368:     for (i=0;i<2;i++) MatDestroy(&matctx->E[i]);
    1369:     PetscFree4(matctx->idxp,matctx->idxg,matctx->map0,matctx->map1);
    1370:     VecDestroy(&matctx->tN);
    1371:     VecDestroy(&matctx->ttN);
    1372:     VecDestroy(&matctx->t1);
    1373:     if (nsubc>1) NRefSubcommDestroy(pep,matctx);
    1374:     else {
    1375:       VecDestroy(&matctx->vseq);
    1376:       VecScatterDestroy(&matctx->scatterctx);
    1377:     }
    1378:     PetscFree(matctx);
    1379:     KSPGetOperators(pep->refineksp,&M,NULL);
    1380:     MatDestroy(&M);
    1381:     break;
    1382:   case PEP_REFINE_SCHEME_MBE:
    1383:     BVDestroy(&matctx->W);
    1384:     BVDestroy(&matctx->Wt);
    1385:     BVDestroy(&matctx->M2);
    1386:     BVDestroy(&matctx->M3);
    1387:     MatDestroy(&matctx->M1);
    1388:     VecDestroy(&matctx->t);
    1389:     PetscFree5(matctx->M4,matctx->w,matctx->wt,matctx->d,matctx->dt);
    1390:     if (nsubc>1) NRefSubcommDestroy(pep,matctx);
    1391:     PetscFree(matctx);
    1392:     break;
    1393:   case PEP_REFINE_SCHEME_SCHUR:
    1394:     KSPGetOperators(pep->refineksp,&M,&P);
    1395:     MatShellGetContext(M,&ctx);
    1396:     PetscFree5(ctx->A,ctx->M4,ctx->pM4,ctx->work,ctx->fih);
    1397:     MatDestroy(&ctx->M1);
    1398:     BVDestroy(&ctx->M2);
    1399:     BVDestroy(&ctx->M3);
    1400:     BVDestroy(&ctx->W);
    1401:     VecDestroy(&ctx->t);
    1402:     PetscFree(ctx);
    1403:     MatDestroy(&M);
    1404:     MatDestroy(&P);
    1405:     break;
    1406:   }
    1407:   PetscLogEventEnd(PEP_Refine,pep,0,0,0);
    1408:   return 0;
    1409: }