Date: 2024-12-02T08:58:32+00:00

Actual source code: test5.c
slepc-3.22.2 2024-12-02
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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,val1,val2;
     24:   PetscBool      test_compl=PETSC_FALSE;

     26:   PetscFunctionBeginUser;
     27:   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
     28:   PetscCall(PetscOptionsGetBool(NULL,NULL,"-complex",&test_compl,NULL));
     29:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
     30:   N = n*n;

     32:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     33:      Create non-symmetric matrix
     34:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

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

     40:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     41: #if defined(PETSC_USE_COMPLEX)
     42:   val1 = test_compl? PetscCMPLX(1.0,-0.2): 1.0;
     43:   val2 = test_compl? PetscCMPLX(-1.0,0.4): -1.0;
     44: #else
     45:   val1 = 1.0;
     46:   val2 = -1.0;
     47: #endif
     48:   for (II=Istart;II<Iend;II++) {
     49:     i = II/n; j = II-i*n;
     50:     d = 0.0;
     51:     if (i>0) { PetscCall(MatSetValue(A,II,II-n,val1,INSERT_VALUES)); d=d+1.0; }
     52:     if (i<n-1) { PetscCall(MatSetValue(A,II,II+n,val2,INSERT_VALUES)); d=d+1.0; }
     53:     if (j>0) { PetscCall(MatSetValue(A,II,II-1,val1,INSERT_VALUES)); d=d+1.0; }
     54:     if (j<n-1) { PetscCall(MatSetValue(A,II,II+1,val2,INSERT_VALUES)); d=d+1.0; }
     55:     PetscCall(MatSetValue(A,II,II,d,INSERT_VALUES));
     56:   }
     57:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     58:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));

     60: #if defined(PETSC_USE_COMPLEX)
     61:   val1 = test_compl? PetscCMPLX(-0.5,0.01): -0.5;
     62: #else
     63:   val1 = -0.5;
     64: #endif
     65:   PetscCall(MatCreateVecs(A,&v,&w));
     66:   PetscCall(VecSetValue(v,0,val1,INSERT_VALUES));
     67:   PetscCall(VecSetValue(v,1,1.5,INSERT_VALUES));
     68:   PetscCall(VecSetValue(v,2,2,INSERT_VALUES));
     69:   PetscCall(VecAssemblyBegin(v));
     70:   PetscCall(VecAssemblyEnd(v));
     71:   PetscCall(VecView(v,NULL));

     73:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     74:      Create the spectral transformation object
     75:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     76:   PetscCall(STCreate(PETSC_COMM_WORLD,&st));
     77:   mat[0] = A;
     78:   PetscCall(STSetMatrices(st,1,mat));
     79:   PetscCall(STSetType(st,STCAYLEY));
     80:   PetscCall(STSetShift(st,2.0));
     81:   PetscCall(STCayleySetAntishift(st,1.0));
     82:   PetscCall(STSetTransform(st,PETSC_TRUE));

     84:   PetscCall(KSPCreate(PETSC_COMM_WORLD,&ksp));
     85:   PetscCall(KSPSetType(ksp,KSPPREONLY));
     86:   PetscCall(KSPGetPC(ksp,&pc));
     87:   PetscCall(PCSetType(pc,PCLU));
     88:   PetscCall(KSPSetTolerances(ksp,100*PETSC_MACHINE_EPSILON,PETSC_CURRENT,PETSC_CURRENT,PETSC_CURRENT));
     89:   PetscCall(KSPSetFromOptions(ksp));
     90:   PetscCall(STSetKSP(st,ksp));
     91:   PetscCall(KSPDestroy(&ksp));

     93:   PetscCall(STSetFromOptions(st));

     95:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     96:      Apply the operator
     97:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     98:   PetscCall(STApply(st,v,w));
     99:   PetscCall(VecView(w,NULL));

    101:   PetscCall(STApplyTranspose(st,v,w));
    102:   PetscCall(VecView(w,NULL));

    104:   if (test_compl) {
    105:     PetscCall(STApplyHermitianTranspose(st,v,w));
    106:     PetscCall(VecView(w,NULL));
    107:   }

    109:   PetscCall(STMatMult(st,1,v,w));
    110:   PetscCall(VecView(w,NULL));

    112:   PetscCall(STMatMultTranspose(st,1,v,w));
    113:   PetscCall(VecView(w,NULL));

    115:   if (test_compl) {
    116:     PetscCall(STMatMultHermitianTranspose(st,1,v,w));
    117:     PetscCall(VecView(w,NULL));
    118:   }

    120:   PetscCall(STMatSolve(st,v,w));
    121:   PetscCall(VecView(w,NULL));

    123:   PetscCall(STMatSolveTranspose(st,v,w));
    124:   PetscCall(VecView(w,NULL));

    126:   if (test_compl) {
    127:     PetscCall(STMatSolveHermitianTranspose(st,v,w));
    128:     PetscCall(VecView(w,NULL));
    129:   }

    131:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    132:      Get the operator matrix
    133:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    134:   PetscCall(STGetOperator(st,&Op));
    135:   PetscCall(MatMult(Op,v,w));
    136:   PetscCall(VecView(w,NULL));
    137:   PetscCall(MatMultTranspose(Op,v,w));
    138:   PetscCall(VecView(w,NULL));
    139:   if (test_compl) {
    140:     PetscCall(MatMultHermitianTranspose(Op,v,w));
    141:     PetscCall(VecView(w,NULL));
    142:   }
    143:   PetscCall(STRestoreOperator(st,&Op));

    145:   PetscCall(STDestroy(&st));
    146:   PetscCall(MatDestroy(&A));
    147:   PetscCall(VecDestroy(&v));
    148:   PetscCall(VecDestroy(&w));
    149:   PetscCall(SlepcFinalize());
    150:   return 0;
    151: }

    153: /*TEST

    155:    testset:
    156:       output_file: output/test5_1.out
    157:       requires: !single
    158:       test:
    159:          suffix: 1
    160:          args: -st_matmode {{copy inplace}}
    161:       test:
    162:          suffix: 1_shell
    163:          args: -st_matmode shell -ksp_type bcgs -pc_type jacobi

    165:    testset:
    166:       output_file: output/test5_2.out
    167:       requires: complex !single
    168:       args: -complex
    169:       test:
    170:          suffix: 2
    171:          args: -st_matmode {{copy inplace}}
    172:       test:
    173:          suffix: 2_shell
    174:          args: -st_matmode shell -ksp_type bcgs -pc_type jacobi

    176: TEST*/