Date: 2023-09-05T10:19:14+00:00

Actual source code: sinvert.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:    Implements the shift-and-invert technique for eigenvalue problems
     12: */

     14: #include <slepc/private/stimpl.h>

     16: PetscErrorCode STBackTransform_Sinvert(ST st,PetscInt n,PetscScalar *eigr,PetscScalar *eigi)
     17: {
     18:   PetscInt    j;
     19: #if !defined(PETSC_USE_COMPLEX)
     20:   PetscScalar t;
     21: #endif

     23:   PetscFunctionBegin;
     24: #if !defined(PETSC_USE_COMPLEX)
     25:   for (j=0;j<n;j++) {
     26:     if (eigi[j] == 0) eigr[j] = 1.0 / eigr[j] + st->sigma;
     27:     else {
     28:       t = eigr[j] * eigr[j] + eigi[j] * eigi[j];
     29:       eigr[j] = eigr[j] / t + st->sigma;
     30:       eigi[j] = - eigi[j] / t;
     31:     }
     32:   }
     33: #else
     34:   for (j=0;j<n;j++) {
     35:     eigr[j] = 1.0 / eigr[j] + st->sigma;
     36:   }
     37: #endif
     38:   PetscFunctionReturn(PETSC_SUCCESS);
     39: }

     41: PetscErrorCode STPostSolve_Sinvert(ST st)
     42: {
     43:   PetscFunctionBegin;
     44:   if (st->matmode == ST_MATMODE_INPLACE) {
     45:     if (st->nmat>1) PetscCall(MatAXPY(st->A[0],st->sigma,st->A[1],st->str));
     46:     else PetscCall(MatShift(st->A[0],st->sigma));
     47:     st->Astate[0] = ((PetscObject)st->A[0])->state;
     48:     st->state   = ST_STATE_INITIAL;
     49:     st->opready = PETSC_FALSE;
     50:   }
     51:   PetscFunctionReturn(PETSC_SUCCESS);
     52: }

     54: /*
     55:    Operator (sinvert):
     56:                Op               P         M
     57:    if nmat=1:  (A-sI)^-1        A-sI      NULL
     58:    if nmat=2:  (A-sB)^-1 B      A-sB      B
     59: */
     60: PetscErrorCode STComputeOperator_Sinvert(ST st)
     61: {
     62:   PetscFunctionBegin;
     63:   /* if the user did not set the shift, use the target value */
     64:   if (!st->sigma_set) st->sigma = st->defsigma;
     65:   PetscCall(PetscObjectReference((PetscObject)st->A[1]));
     66:   PetscCall(MatDestroy(&st->T[0]));
     67:   st->T[0] = st->A[1];
     68:   PetscCall(STMatMAXPY_Private(st,-st->sigma,0.0,0,NULL,PetscNot(st->state==ST_STATE_UPDATED),PETSC_FALSE,&st->T[1]));
     69:   PetscCall(PetscObjectReference((PetscObject)st->T[1]));
     70:   PetscCall(MatDestroy(&st->P));
     71:   st->P = st->T[1];
     72:   st->M = (st->nmat>1)? st->T[0]: NULL;
     73:   if (st->Psplit) {  /* build custom preconditioner from the split matrices */
     74:     PetscCall(STMatMAXPY_Private(st,-st->sigma,0.0,0,NULL,PETSC_TRUE,PETSC_TRUE,&st->Pmat));
     75:   }
     76:   PetscFunctionReturn(PETSC_SUCCESS);
     77: }

     79: PetscErrorCode STSetUp_Sinvert(ST st)
     80: {
     81:   PetscInt       k,nc,nmat=st->nmat;
     82:   PetscScalar    *coeffs=NULL;

     84:   PetscFunctionBegin;
     85:   if (nmat>1) PetscCall(STSetWorkVecs(st,1));
     86:   /* if the user did not set the shift, use the target value */
     87:   if (!st->sigma_set) st->sigma = st->defsigma;
     88:   if (nmat>2) {  /* set-up matrices for polynomial eigenproblems */
     89:     if (st->transform) {
     90:       nc = (nmat*(nmat+1))/2;
     91:       PetscCall(PetscMalloc1(nc,&coeffs));
     92:       /* Compute coeffs */
     93:       PetscCall(STCoeffs_Monomial(st,coeffs));
     94:       /* T[0] = A_n */
     95:       k = nmat-1;
     96:       PetscCall(PetscObjectReference((PetscObject)st->A[k]));
     97:       PetscCall(MatDestroy(&st->T[0]));
     98:       st->T[0] = st->A[k];
     99:       for (k=1;k<nmat;k++) PetscCall(STMatMAXPY_Private(st,nmat>2?st->sigma:-st->sigma,0.0,nmat-k-1,coeffs?coeffs+(k*(k+1))/2:NULL,PetscNot(st->state==ST_STATE_UPDATED),PETSC_FALSE,&st->T[k]));
    100:       PetscCall(PetscFree(coeffs));
    101:       PetscCall(PetscObjectReference((PetscObject)st->T[nmat-1]));
    102:       PetscCall(MatDestroy(&st->P));
    103:       st->P = st->T[nmat-1];
    104:       if (st->Psplit) {  /* build custom preconditioner from the split matrices */
    105:         PetscCall(STMatMAXPY_Private(st,st->sigma,0.0,0,coeffs?coeffs+((nmat-1)*nmat)/2:NULL,PETSC_TRUE,PETSC_TRUE,&st->Pmat));
    106:       }
    107:       PetscCall(ST_KSPSetOperators(st,st->P,st->Pmat?st->Pmat:st->P));
    108:     } else {
    109:       for (k=0;k<nmat;k++) {
    110:         PetscCall(PetscObjectReference((PetscObject)st->A[k]));
    111:         PetscCall(MatDestroy(&st->T[k]));
    112:         st->T[k] = st->A[k];
    113:       }
    114:     }
    115:   }
    116:   if (st->P) PetscCall(KSPSetUp(st->ksp));
    117:   PetscFunctionReturn(PETSC_SUCCESS);
    118: }

    120: PetscErrorCode STSetShift_Sinvert(ST st,PetscScalar newshift)
    121: {
    122:   PetscInt       nmat=PetscMax(st->nmat,2),k,nc;
    123:   PetscScalar    *coeffs=NULL;

    125:   PetscFunctionBegin;
    126:   if (st->transform) {
    127:     if (st->matmode == ST_MATMODE_COPY && nmat>2) {
    128:       nc = (nmat*(nmat+1))/2;
    129:       PetscCall(PetscMalloc1(nc,&coeffs));
    130:       /* Compute coeffs */
    131:       PetscCall(STCoeffs_Monomial(st,coeffs));
    132:     }
    133:     for (k=1;k<nmat;k++) PetscCall(STMatMAXPY_Private(st,nmat>2?newshift:-newshift,nmat>2?st->sigma:-st->sigma,nmat-k-1,coeffs?coeffs+(k*(k+1))/2:NULL,PETSC_FALSE,PETSC_FALSE,&st->T[k]));
    134:     if (st->matmode == ST_MATMODE_COPY && nmat>2) PetscCall(PetscFree(coeffs));
    135:     if (st->P!=st->T[nmat-1]) {
    136:       PetscCall(PetscObjectReference((PetscObject)st->T[nmat-1]));
    137:       PetscCall(MatDestroy(&st->P));
    138:       st->P = st->T[nmat-1];
    139:     }
    140:     if (st->Psplit) {  /* build custom preconditioner from the split matrices */
    141:       PetscCall(STMatMAXPY_Private(st,nmat>2?newshift:-newshift,nmat>2?st->sigma:-st->sigma,0,coeffs?coeffs+((nmat-1)*nmat)/2:NULL,PETSC_FALSE,PETSC_TRUE,&st->Pmat));
    142:     }
    143:   }
    144:   if (st->P) {
    145:     PetscCall(ST_KSPSetOperators(st,st->P,st->Pmat?st->Pmat:st->P));
    146:     PetscCall(KSPSetUp(st->ksp));
    147:   }
    148:   PetscFunctionReturn(PETSC_SUCCESS);
    149: }

    151: SLEPC_EXTERN PetscErrorCode STCreate_Sinvert(ST st)
    152: {
    153:   PetscFunctionBegin;
    154:   st->usesksp = PETSC_TRUE;

    156:   st->ops->apply           = STApply_Generic;
    157:   st->ops->applytrans      = STApplyTranspose_Generic;
    158:   st->ops->backtransform   = STBackTransform_Sinvert;
    159:   st->ops->setshift        = STSetShift_Sinvert;
    160:   st->ops->getbilinearform = STGetBilinearForm_Default;
    161:   st->ops->setup           = STSetUp_Sinvert;
    162:   st->ops->computeoperator = STComputeOperator_Sinvert;
    163:   st->ops->postsolve       = STPostSolve_Sinvert;
    164:   st->ops->checknullspace  = STCheckNullSpace_Default;
    165:   st->ops->setdefaultksp   = STSetDefaultKSP_Default;
    166:   PetscFunctionReturn(PETSC_SUCCESS);
    167: }