Exemple #1
0
PetscErrorCode EPSGetArbitraryValues(EPS eps,PetscScalar *rr,PetscScalar *ri)
{
  PetscErrorCode ierr;
  PetscInt       i,newi,ld,n,l;
  Vec            xr=eps->work[0],xi=eps->work[1];
  PetscScalar    re,im,*Zr,*Zi,*X;

  PetscFunctionBegin;
  ierr = DSGetLeadingDimension(eps->ds,&ld);CHKERRQ(ierr);
  ierr = DSGetDimensions(eps->ds,&n,NULL,&l,NULL,NULL);CHKERRQ(ierr);
  for (i=l;i<n;i++) {
    re = eps->eigr[i];
    im = eps->eigi[i];
    ierr = STBackTransform(eps->st,1,&re,&im);CHKERRQ(ierr);
    newi = i;
    ierr = DSVectors(eps->ds,DS_MAT_X,&newi,NULL);CHKERRQ(ierr);
    ierr = DSGetArray(eps->ds,DS_MAT_X,&X);CHKERRQ(ierr);
    Zr = X+i*ld;
    if (newi==i+1) Zi = X+newi*ld;
    else Zi = NULL;
    ierr = EPSComputeRitzVector(eps,Zr,Zi,eps->V,xr,xi);CHKERRQ(ierr);
    ierr = DSRestoreArray(eps->ds,DS_MAT_X,&X);CHKERRQ(ierr);
    ierr = (*eps->arbitrary)(re,im,xr,xi,rr+i,ri+i,eps->arbitraryctx);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}
static PetscErrorCode EPSMonitor_Linear(EPS eps,PetscInt its,PetscInt nconv,PetscScalar *eigr,PetscScalar *eigi,PetscReal *errest,PetscInt nest,void *ctx)
{
  PetscInt       i;
  PEP            pep = (PEP)ctx;
  ST             st;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  for (i=0;i<PetscMin(nest,pep->ncv);i++) {
    pep->eigr[i] = eigr[i];
    pep->eigi[i] = eigi[i];
    pep->errest[i] = errest[i];
  }
  ierr = EPSGetST(eps,&st);CHKERRQ(ierr);
  ierr = STBackTransform(st,nest,pep->eigr,pep->eigi);CHKERRQ(ierr);
  ierr = PEPMonitor(pep,its,nconv,pep->eigr,pep->eigi,pep->errest,nest);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
Exemple #3
0
/*
   PEPKrylovConvergence - This is the analogue to EPSKrylovConvergence, but
   for polynomial Krylov methods.

   Differences:
   - Always non-symmetric
   - Does not check for STSHIFT
   - No correction factor
   - No support for true residual
*/
PetscErrorCode PEPKrylovConvergence(PEP pep,PetscBool getall,PetscInt kini,PetscInt nits,PetscReal beta,PetscInt *kout)
{
  PetscErrorCode ierr;
  PetscInt       k,newk,marker,ld,inside;
  PetscScalar    re,im;
  PetscReal      resnorm;
  PetscBool      istrivial;

  PetscFunctionBegin;
  ierr = RGIsTrivial(pep->rg,&istrivial);CHKERRQ(ierr);
  ierr = DSGetLeadingDimension(pep->ds,&ld);CHKERRQ(ierr);
  marker = -1;
  if (pep->trackall) getall = PETSC_TRUE;
  for (k=kini;k<kini+nits;k++) {
    /* eigenvalue */
    re = pep->eigr[k];
    im = pep->eigi[k];
    if (!istrivial || pep->conv==PEP_CONV_NORM) {
      ierr = STBackTransform(pep->st,1,&re,&im);CHKERRQ(ierr);
    }
    if (!istrivial) {
      ierr = RGCheckInside(pep->rg,1,&re,&im,&inside);CHKERRQ(ierr);
      if (marker==-1 && inside<=0) marker = k;
      if (!pep->conv==PEP_CONV_NORM) {  /* make sure pep->converged below uses the right value */
        re = pep->eigr[k];
        im = pep->eigi[k];
      }
    }
    newk = k;
    ierr = DSVectors(pep->ds,DS_MAT_X,&newk,&resnorm);CHKERRQ(ierr);
    resnorm *= beta;
    /* error estimate */
    ierr = (*pep->converged)(pep,re,im,resnorm,&pep->errest[k],pep->convergedctx);CHKERRQ(ierr);
    if (marker==-1 && pep->errest[k] >= pep->tol) marker = k;
    if (newk==k+1) {
      pep->errest[k+1] = pep->errest[k];
      k++;
    }
    if (marker!=-1 && !getall) break;
  }
  if (marker!=-1) k = marker;
  *kout = k;
  PetscFunctionReturn(0);
}
/*@
   PEPSolve - Solves the polynomial eigensystem.

   Collective on PEP

   Input Parameter:
.  pep - eigensolver context obtained from PEPCreate()

   Options Database Keys:
+  -pep_view - print information about the solver used
-  -pep_plot_eigs - plot computed eigenvalues

   Level: beginner

.seealso: PEPCreate(), PEPSetUp(), PEPDestroy(), PEPSetTolerances()
@*/
PetscErrorCode PEPSolve(PEP pep)
{
  PetscErrorCode    ierr;
  PetscInt          i;
  PetscReal         re,im;
  PetscBool         flg,islinear;
  PetscViewer       viewer;
  PetscViewerFormat format;
  PetscDraw         draw;
  PetscDrawSP       drawsp;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pep,PEP_CLASSID,1);
  ierr = PetscLogEventBegin(PEP_Solve,pep,0,0,0);CHKERRQ(ierr);

  /* call setup */
  ierr = PEPSetUp(pep);CHKERRQ(ierr);
  pep->nconv = 0;
  pep->its   = 0;
  for (i=0;i<pep->ncv;i++) {
    pep->eigr[i]   = 0.0;
    pep->eigi[i]   = 0.0;
    pep->errest[i] = 0.0;
  }
  ierr = PEPMonitor(pep,pep->its,pep->nconv,pep->eigr,pep->eigi,pep->errest,pep->ncv);CHKERRQ(ierr);

  ierr = (*pep->ops->solve)(pep);CHKERRQ(ierr);
  
  ierr = PetscObjectTypeCompare((PetscObject)pep,PEPLINEAR,&islinear);CHKERRQ(ierr);
  if (!islinear) {
    ierr = STPostSolve(pep->st);CHKERRQ(ierr);
  }

  if (!pep->reason) SETERRQ(PetscObjectComm((PetscObject)pep),PETSC_ERR_PLIB,"Internal error, solver returned without setting converged reason");

  if (!islinear) {
    /* Map eigenvalues back to the original problem */
    ierr = STGetTransform(pep->st,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = STBackTransform(pep->st,pep->nconv,pep->eigr,pep->eigi);CHKERRQ(ierr);
    }
  }

  pep->state = PEP_STATE_SOLVED;

  if (pep->refine==PEP_REFINE_SIMPLE && pep->rits>0) {
    ierr = PEPComputeVectors(pep);CHKERRQ(ierr);
    ierr = PEPNewtonRefinementSimple(pep,&pep->rits,&pep->rtol,pep->nconv);CHKERRQ(ierr);
    pep->state = PEP_STATE_EIGENVECTORS;
  }

#if !defined(PETSC_USE_COMPLEX)
  /* reorder conjugate eigenvalues (positive imaginary first) */
  for (i=0;i<pep->nconv-1;i++) {
    if (pep->eigi[i] != 0) {
      if (pep->eigi[i] < 0) {
        pep->eigi[i] = -pep->eigi[i];
        pep->eigi[i+1] = -pep->eigi[i+1];
        /* the next correction only works with eigenvectors */
        ierr = PEPComputeVectors(pep);CHKERRQ(ierr);
        ierr = BVScaleColumn(pep->V,i+1,-1.0);CHKERRQ(ierr);
      }
      i++;
    }
  }
#endif

  /* sort eigenvalues according to pep->which parameter */
  ierr = SlepcSortEigenvalues(pep->sc,pep->nconv,pep->eigr,pep->eigi,pep->perm);CHKERRQ(ierr);

  ierr = PetscLogEventEnd(PEP_Solve,pep,0,0,0);CHKERRQ(ierr);

  /* various viewers */
  ierr = PetscOptionsGetViewer(PetscObjectComm((PetscObject)pep),((PetscObject)pep)->prefix,"-pep_view",&viewer,&format,&flg);CHKERRQ(ierr);
  if (flg && !PetscPreLoadingOn) {
    ierr = PetscViewerPushFormat(viewer,format);CHKERRQ(ierr);
    ierr = PEPView(pep,viewer);CHKERRQ(ierr);
    ierr = PetscViewerPopFormat(viewer);CHKERRQ(ierr);
    ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
  }

  flg = PETSC_FALSE;
  ierr = PetscOptionsGetBool(((PetscObject)pep)->prefix,"-pep_plot_eigs",&flg,NULL);CHKERRQ(ierr);
  if (flg) {
    ierr = PetscViewerDrawOpen(PETSC_COMM_SELF,0,"Computed Eigenvalues",PETSC_DECIDE,PETSC_DECIDE,300,300,&viewer);CHKERRQ(ierr);
    ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr);
    ierr = PetscDrawSPCreate(draw,1,&drawsp);CHKERRQ(ierr);
    for (i=0;i<pep->nconv;i++) {
#if defined(PETSC_USE_COMPLEX)
      re = PetscRealPart(pep->eigr[i]);
      im = PetscImaginaryPart(pep->eigi[i]);
#else
      re = pep->eigr[i];
      im = pep->eigi[i];
#endif
      ierr = PetscDrawSPAddPoint(drawsp,&re,&im);CHKERRQ(ierr);
    }
    ierr = PetscDrawSPDraw(drawsp,PETSC_TRUE);CHKERRQ(ierr);
    ierr = PetscDrawSPDestroy(&drawsp);CHKERRQ(ierr);
    ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
  }

  /* Remove the initial subspace */
  pep->nini = 0;
  PetscFunctionReturn(0);
}