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

Actual source code: test5.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 various ST interface functions.\n\n";

     13: #include <slepceps.h>

     15: int main (int argc,char **argv)
     16: {
     17:   ST             st;
     18:   KSP            ksp;
     19:   PC             pc;
     20:   Mat            A,mat[1],Op;
     21:   Vec            v,w;
     22:   PetscInt       N,n=4,i,j,II,Istart,Iend;
     23:   PetscScalar    d;

     25:   PetscFunctionBeginUser;
     26:   PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));
     27:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
     28:   N = n*n;

     30:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     31:      Create non-symmetric matrix
     32:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     34:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
     35:   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
     36:   PetscCall(MatSetFromOptions(A));
     37:   PetscCall(MatSetUp(A));

     39:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     40:   for (II=Istart;II<Iend;II++) {
     41:     i = II/n; j = II-i*n;
     42:     d = 0.0;
     43:     if (i>0) { PetscCall(MatSetValue(A,II,II-n,1.0,INSERT_VALUES)); d=d+1.0; }
     44:     if (i<n-1) { PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES)); d=d+1.0; }
     45:     if (j>0) { PetscCall(MatSetValue(A,II,II-1,1.0,INSERT_VALUES)); d=d+1.0; }
     46:     if (j<n-1) { PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES)); d=d+1.0; }
     47:     PetscCall(MatSetValue(A,II,II,d,INSERT_VALUES));
     48:   }

     50:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     51:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
     52:   PetscCall(MatCreateVecs(A,&v,&w));
     53:   PetscCall(VecSetValue(v,0,-.5,INSERT_VALUES));
     54:   PetscCall(VecSetValue(v,1,1.5,INSERT_VALUES));
     55:   PetscCall(VecSetValue(v,2,2,INSERT_VALUES));
     56:   PetscCall(VecAssemblyBegin(v));
     57:   PetscCall(VecAssemblyEnd(v));
     58:   PetscCall(VecView(v,NULL));

     60:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     61:      Create the spectral transformation object
     62:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     63:   PetscCall(STCreate(PETSC_COMM_WORLD,&st));
     64:   mat[0] = A;
     65:   PetscCall(STSetMatrices(st,1,mat));
     66:   PetscCall(STSetType(st,STCAYLEY));
     67:   PetscCall(STSetShift(st,2.0));
     68:   PetscCall(STCayleySetAntishift(st,1.0));
     69:   PetscCall(STSetTransform(st,PETSC_TRUE));

     71:   PetscCall(KSPCreate(PETSC_COMM_WORLD,&ksp));
     72:   PetscCall(KSPSetType(ksp,KSPPREONLY));
     73:   PetscCall(KSPGetPC(ksp,&pc));
     74:   PetscCall(PCSetType(pc,PCLU));
     75:   PetscCall(KSPSetTolerances(ksp,100*PETSC_MACHINE_EPSILON,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT));
     76:   PetscCall(KSPSetFromOptions(ksp));
     77:   PetscCall(STSetKSP(st,ksp));
     78:   PetscCall(KSPDestroy(&ksp));

     80:   PetscCall(STSetFromOptions(st));

     82:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     83:      Apply the operator
     84:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     85:   PetscCall(STApply(st,v,w));
     86:   PetscCall(VecView(w,NULL));

     88:   PetscCall(STApplyTranspose(st,v,w));
     89:   PetscCall(VecView(w,NULL));

     91:   PetscCall(STMatMult(st,1,v,w));
     92:   PetscCall(VecView(w,NULL));

     94:   PetscCall(STMatMultTranspose(st,1,v,w));
     95:   PetscCall(VecView(w,NULL));

     97:   PetscCall(STMatSolve(st,v,w));
     98:   PetscCall(VecView(w,NULL));

    100:   PetscCall(STMatSolveTranspose(st,v,w));
    101:   PetscCall(VecView(w,NULL));

    103:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    104:      Get the operator matrix
    105:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    106:   PetscCall(STGetOperator(st,&Op));
    107:   PetscCall(MatMult(Op,v,w));
    108:   PetscCall(VecView(w,NULL));
    109:   PetscCall(MatMultTranspose(Op,v,w));
    110:   PetscCall(VecView(w,NULL));
    111:   PetscCall(STRestoreOperator(st,&Op));

    113:   PetscCall(STDestroy(&st));
    114:   PetscCall(MatDestroy(&A));
    115:   PetscCall(VecDestroy(&v));
    116:   PetscCall(VecDestroy(&w));
    117:   PetscCall(SlepcFinalize());
    118:   return 0;
    119: }

    121: /*TEST

    123:    testset:
    124:       output_file: output/test5_1.out
    125:       requires: !single
    126:       test:
    127:          args: -st_matmode {{copy inplace}}
    128:       test:
    129:          args: -st_matmode shell -ksp_type bcgs -pc_type jacobi

    131: TEST*/