Date: 2023-09-05T10:18:24+00:00

Actual source code: peputils.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:    Common subroutines for several PEP solvers
     12: */

     14: #include <slepc/private/pepimpl.h>
     15: #include <slepcblaslapack.h>

     17: /*
     18:   Computes T_j=phy_idx(T) for a matrix T.
     19:     Tp (if j>0) and Tpp (if j>1) are the evaluation
     20:     of phy_(j-1) and phy(j-2)respectively.
     21: */
     22: PetscErrorCode PEPEvaluateBasisMat(PEP pep,PetscInt k,PetscScalar *T,PetscInt ldt,PetscInt idx,PetscScalar *Tpp,PetscInt ldtpp,PetscScalar *Tp,PetscInt ldtp,PetscScalar *Tj,PetscInt ldtj)
     23: {
     24:   PetscInt       i;
     25:   PetscReal      *ca,*cb,*cg;
     26:   PetscScalar    g,a;
     27:   PetscBLASInt   k_,ldt_,ldtj_,ldtp_;

     29:   PetscFunctionBegin;
     30:   if (idx==0) {
     31:     for (i=0;i<k;i++) {
     32:       PetscCall(PetscArrayzero(Tj+i*ldtj,k));
     33:       Tj[i+i*ldtj] = 1.0;
     34:     }
     35:   } else {
     36:     PetscCall(PetscBLASIntCast(ldt,&ldt_));
     37:     PetscCall(PetscBLASIntCast(ldtj,&ldtj_));
     38:     PetscCall(PetscBLASIntCast(ldtp,&ldtp_));
     39:     PetscCall(PetscBLASIntCast(k,&k_));
     40:     ca = pep->pbc; cb = pep->pbc+pep->nmat; cg = pep->pbc+2*pep->nmat;
     41:     for (i=0;i<k;i++) T[i*ldt+i] -= cb[idx-1];
     42:     if (idx>1) {
     43:       for (i=0;i<k;i++) PetscCall(PetscArraycpy(Tj+i*ldtj,Tpp+i*ldtpp,k));
     44:     }
     45:     a = 1/ca[idx-1];
     46:     g = (idx==1)?0.0:-cg[idx-1]/ca[idx-1];
     47:     PetscCallBLAS("BLASgemm",BLASgemm_("N","N",&k_,&k_,&k_,&a,T,&ldt_,Tp,&ldtp_,&g,Tj,&ldtj_));
     48:     for (i=0;i<k;i++) T[i*ldt+i] += cb[idx-1];
     49:   }
     50:   PetscFunctionReturn(PETSC_SUCCESS);
     51: }

     53: /*
     54:    PEPEvaluateBasis - evaluate the polynomial basis on a given parameter sigma
     55: */
     56: PetscErrorCode PEPEvaluateBasis(PEP pep,PetscScalar sigma,PetscScalar isigma,PetscScalar *vals,PetscScalar *ivals)
     57: {
     58:   PetscInt   nmat=pep->nmat,k;
     59:   PetscReal  *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat;

     61:   PetscFunctionBegin;
     62:   if (ivals) for (k=0;k<nmat;k++) ivals[k] = 0.0;
     63:   vals[0] = 1.0;
     64:   vals[1] = (sigma-b[0])/a[0];
     65: #if !defined(PETSC_USE_COMPLEX)
     66:   if (ivals) ivals[1] = isigma/a[0];
     67: #endif
     68:   for (k=2;k<nmat;k++) {
     69:     vals[k] = ((sigma-b[k-1])*vals[k-1]-g[k-1]*vals[k-2])/a[k-1];
     70:     if (ivals) vals[k] -= isigma*ivals[k-1]/a[k-1];
     71: #if !defined(PETSC_USE_COMPLEX)
     72:     if (ivals) ivals[k] = ((sigma-b[k-1])*ivals[k-1]+isigma*vals[k-1]-g[k-1]*ivals[k-2])/a[k-1];
     73: #endif
     74:   }
     75:   PetscFunctionReturn(PETSC_SUCCESS);
     76: }

     78: /*
     79:    PEPEvaluateBasisDerivative - evaluate the derivative of the polynomial basis on a given parameter sigma
     80: */
     81: PetscErrorCode PEPEvaluateBasisDerivative(PEP pep,PetscScalar sigma,PetscScalar isigma,PetscScalar *vals,PetscScalar *ivals)
     82: {
     83:   PetscInt       nmat=pep->nmat,k;
     84:   PetscReal      *a=pep->pbc,*b=pep->pbc+nmat,*g=pep->pbc+2*nmat;

     86:   PetscFunctionBegin;
     87:   PetscCall(PEPEvaluateBasis(pep,sigma,isigma,vals,ivals));
     88:   for (k=nmat-1;k>0;k--) {
     89:     vals[k] = vals[k-1];
     90:     if (ivals) ivals[k] = ivals[k-1];
     91:   }
     92:   vals[0] = 0.0;
     93:   vals[1] = vals[1]/a[0];
     94: #if !defined(PETSC_USE_COMPLEX)
     95:   if (ivals) ivals[1] = ivals[1]/a[0];
     96: #endif
     97:   for (k=2;k<nmat;k++) {
     98:     vals[k] += (sigma-b[k-1])*vals[k-1]-g[k-1]*vals[k-2];
     99:     if (ivals) vals[k] -= isigma*ivals[k-1];
    100:     vals[k] /= a[k-1];
    101: #if !defined(PETSC_USE_COMPLEX)
    102:     if (ivals) {
    103:       ivals[k] += (sigma-b[k-1])*ivals[k-1]+isigma*vals[k-1]-g[k-1]*ivals[k-2];
    104:       ivals[k] /= a[k-1];
    105:     }
    106: #endif
    107:   }
    108:   PetscFunctionReturn(PETSC_SUCCESS);
    109: }