Actual source code: ks-symm.c
slepc-3.10.1 2018-10-23
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2018, 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 for symmetric eigenproblems
     14: */

     16: #include <slepc/private/epsimpl.h>
     17: #include "krylovschur.h"

     19: PetscErrorCode EPSSolve_KrylovSchur_Symm(EPS eps)
     20: {
     21:   PetscErrorCode  ierr;
     22:   EPS_KRYLOVSCHUR *ctx = (EPS_KRYLOVSCHUR*)eps->data;
     23:   PetscInt        k,l,ld,nv,nconv;
     24:   Mat             U;
     25:   PetscReal       *a,*b,beta;
     26:   PetscBool       breakdown;

     29:   DSGetLeadingDimension(eps->ds,&ld);

     31:   /* Get the starting Lanczos vector */
     32:   EPSGetStartVector(eps,0,NULL);
     33:   l = 0;

     35:   /* Restart loop */
     36:   while (eps->reason == EPS_CONVERGED_ITERATING) {
     37:     eps->its++;

     39:     /* Compute an nv-step Lanczos factorization */
     40:     nv = PetscMin(eps->nconv+eps->mpd,eps->ncv);
     41:     DSGetArrayReal(eps->ds,DS_MAT_T,&a);
     42:     b = a + ld;
     43:     EPSFullLanczos(eps,a,b,eps->nconv+l,&nv,&breakdown);
     44:     beta = b[nv-1];
     45:     DSRestoreArrayReal(eps->ds,DS_MAT_T,&a);
     46:     DSSetDimensions(eps->ds,nv,0,eps->nconv,eps->nconv+l);
     47:     if (l==0) {
     48:       DSSetState(eps->ds,DS_STATE_INTERMEDIATE);
     49:     } else {
     50:       DSSetState(eps->ds,DS_STATE_RAW);
     51:     }
     52:     BVSetActiveColumns(eps->V,eps->nconv,nv);

     54:     /* Solve projected problem */
     55:     DSSolve(eps->ds,eps->eigr,NULL);
     56:     if (eps->arbitrary) { EPSGetArbitraryValues(eps,eps->rr,eps->ri); }
     57:     DSSort(eps->ds,eps->eigr,NULL,eps->rr,eps->ri,NULL);
     58:     DSUpdateExtraRow(eps->ds);
     59:     DSSynchronize(eps->ds,eps->eigr,NULL);

     61:     /* Check convergence */
     62:     EPSKrylovConvergence(eps,PETSC_FALSE,eps->nconv,nv-eps->nconv,beta,1.0,&k);
     63:     (*eps->stopping)(eps,eps->its,eps->max_it,k,eps->nev,&eps->reason,eps->stoppingctx);
     64:     nconv = k;

     66:     /* Update l */
     67:     if (eps->reason != EPS_CONVERGED_ITERATING || breakdown || k==nv) l = 0;
     68:     else l = PetscMax(1,(PetscInt)((nv-k)*ctx->keep));
     69:     if (!ctx->lock && l>0) { l += k; k = 0; } /* non-locking variant: reset no. of converged pairs */

     71:     if (eps->reason == EPS_CONVERGED_ITERATING) {
     72:       if (breakdown || k==nv) {
     73:         /* Start a new Lanczos factorization */
     74:         PetscInfo2(eps,"Breakdown in Krylov-Schur method (it=%D norm=%g)\n",eps->its,(double)beta);
     75:         if (k<eps->nev) {
     76:           EPSGetStartVector(eps,k,&breakdown);
     77:           if (breakdown) {
     78:             eps->reason = EPS_DIVERGED_BREAKDOWN;
     79:             PetscInfo(eps,"Unable to generate more start vectors\n");
     80:           }
     81:         }
     82:       } else {
     83:         /* Prepare the Rayleigh quotient for restart */
     84:         DSTruncate(eps->ds,k+l);
     85:       }
     86:     }
     87:     /* Update the corresponding vectors V(:,idx) = V*Q(:,idx) */
     88:     DSGetMat(eps->ds,DS_MAT_Q,&U);
     89:     BVMultInPlace(eps->V,U,eps->nconv,k+l);
     90:     MatDestroy(&U);

     92:     /* Normalize u and append it to V */
     93:     if (eps->reason == EPS_CONVERGED_ITERATING && !breakdown) {
     94:       BVCopyColumn(eps->V,nv,k+l);
     95:     }

     97:     eps->nconv = k;
     98:     EPSMonitor(eps,eps->its,nconv,eps->eigr,eps->eigi,eps->errest,nv);
     99:   }
    100:   DSSetDimensions(eps->ds,eps->nconv,0,0,0);
    101:   DSSetState(eps->ds,DS_STATE_RAW);
    102:   return(0);
    103: }