Date: 2023-11-27T17:19:52+00:00

Actual source code: test7.c
slepc-3.20.1 2023-11-27
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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: */

     11: static char help[] = "Test ST with one matrix and split preconditioner.\n\n";

     13: #include <slepcst.h>

     15: int main(int argc,char **argv)
     16: {
     17:   Mat            A,Pa,Pmat,mat[1];
     18:   ST             st;
     19:   KSP            ksp;
     20:   PC             pc;
     21:   Vec            v,w;
     22:   STType         type;
     23:   PetscBool      flg;
     24:   PetscScalar    sigma;
     25:   PetscInt       n=10,i,Istart,Iend;

     27:   PetscFunctionBeginUser;
     28:   PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));
     29:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
     30:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian, n=%" PetscInt_FMT "\n\n",n));

     32:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     33:      Compute the operator matrix for the 1-D Laplacian
     34:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     36:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
     37:   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n));
     38:   PetscCall(MatSetFromOptions(A));
     39:   PetscCall(MatSetUp(A));

     41:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     42:   for (i=Istart;i<Iend;i++) {
     43:     if (i>0) PetscCall(MatSetValue(A,i,i-1,-1.0,INSERT_VALUES));
     44:     if (i<n-1) PetscCall(MatSetValue(A,i,i+1,-1.0,INSERT_VALUES));
     45:     PetscCall(MatSetValue(A,i,i,2.0,INSERT_VALUES));
     46:   }
     47:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     48:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
     49:   PetscCall(MatCreateVecs(A,&v,&w));
     50:   PetscCall(VecSet(v,1.0));

     52:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     53:      Compute the split preconditioner matrix (one diagonal)
     54:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     56:   PetscCall(MatCreate(PETSC_COMM_WORLD,&Pa));
     57:   PetscCall(MatSetSizes(Pa,PETSC_DECIDE,PETSC_DECIDE,n,n));
     58:   PetscCall(MatSetFromOptions(Pa));
     59:   PetscCall(MatSetUp(Pa));

     61:   PetscCall(MatGetOwnershipRange(Pa,&Istart,&Iend));
     62:   for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(Pa,i,i,2.0,INSERT_VALUES));
     63:   PetscCall(MatAssemblyBegin(Pa,MAT_FINAL_ASSEMBLY));
     64:   PetscCall(MatAssemblyEnd(Pa,MAT_FINAL_ASSEMBLY));

     66:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     67:                 Create the spectral transformation object
     68:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     70:   PetscCall(STCreate(PETSC_COMM_WORLD,&st));
     71:   mat[0] = A;
     72:   PetscCall(STSetMatrices(st,1,mat));
     73:   mat[0] = Pa;
     74:   PetscCall(STSetSplitPreconditioner(st,1,mat,SAME_NONZERO_PATTERN));
     75:   PetscCall(STSetTransform(st,PETSC_TRUE));
     76:   PetscCall(STSetFromOptions(st));
     77:   PetscCall(STCayleySetAntishift(st,-0.3));   /* only relevant for cayley */

     79:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     80:                Form the preconditioner matrix and print it
     81:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     83:   PetscCall(PetscObjectTypeCompareAny((PetscObject)st,&flg,STSINVERT,STCAYLEY,""));
     84:   if (flg) {
     85:     PetscCall(STGetKSP(st,&ksp));
     86:     PetscCall(KSPGetPC(ksp,&pc));
     87:     PetscCall(STGetOperator(st,NULL));
     88:     PetscCall(PCGetOperators(pc,NULL,&Pmat));
     89:     PetscCall(MatView(Pmat,NULL));
     90:   }

     92:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     93:                     Apply the operator
     94:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     96:   /* sigma=0.0 */
     97:   PetscCall(STSetUp(st));
     98:   PetscCall(STGetType(st,&type));
     99:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"ST type %s\n",type));
    100:   PetscCall(STApply(st,v,w));
    101:   PetscCall(VecView(w,NULL));

    103:   /* sigma=0.1 */
    104:   sigma = 0.1;
    105:   PetscCall(STSetShift(st,sigma));
    106:   PetscCall(STGetShift(st,&sigma));
    107:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"With shift=%g\n",(double)PetscRealPart(sigma)));
    108:   if (flg) {
    109:     PetscCall(STGetOperator(st,NULL));
    110:     PetscCall(PCGetOperators(pc,NULL,&Pmat));
    111:     PetscCall(MatView(Pmat,NULL));
    112:   }
    113:   PetscCall(STApply(st,v,w));
    114:   PetscCall(VecView(w,NULL));

    116:   PetscCall(STDestroy(&st));
    117:   PetscCall(MatDestroy(&A));
    118:   PetscCall(MatDestroy(&Pa));
    119:   PetscCall(VecDestroy(&v));
    120:   PetscCall(VecDestroy(&w));
    121:   PetscCall(SlepcFinalize());
    122:   return 0;
    123: }

    125: /*TEST

    127:    test:
    128:       suffix: 1
    129:       args: -st_type {{cayley shift sinvert}separate output}
    130:       requires: !single

    132: TEST*/