Date: 2024-09-25T09:33:28+00:00

Actual source code: test18.c
slepc-3.21.2 2024-09-25
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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[] = "Symmetric-indefinite eigenproblem.\n\n"
     12:   "The command line options are:\n"
     13:   "  -n <n>, where <n> = number of grid subdivisions in x dimension.\n"
     14:   "  -m <m>, where <m> = number of grid subdivisions in y dimension.\n\n";

     16: #include <slepceps.h>

     18: int main(int argc,char **argv)
     19: {
     20:   Mat            A,B;             /* problem matrices */
     21:   EPS            eps;             /* eigenproblem solver context */
     22:   PetscInt       N,n=10,m,Istart,Iend,II,nev,i,j;
     23:   PetscBool      flag,terse;

     25:   PetscFunctionBeginUser;
     26:   PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));
     27:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
     28:   PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
     29:   if (!flag) m=n;
     30:   N = n*m;
     31:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSymmetric-indefinite eigenproblem, N=%" PetscInt_FMT "\n\n",N));

     33:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     34:           Compute the matrices that define the eigensystem, Ax=kBx
     35:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

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

     41:   PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
     42:   PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
     43:   PetscCall(MatSetFromOptions(B));

     45:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     46:   for (II=Istart;II<Iend;II++) {
     47:     i = II/n; j = II-i*n;
     48:     if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
     49:     if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
     50:     if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
     51:     if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
     52:     PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
     53:     PetscCall(MatSetValue(B,II,N-II-1,1.0,INSERT_VALUES));
     54:   }

     56:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     57:   PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
     58:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
     59:   PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));

     61:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     62:                 Create the eigensolver and set various options
     63:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     65:   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
     66:   PetscCall(EPSSetOperators(eps,A,B));
     67:   PetscCall(EPSSetProblemType(eps,EPS_GHIEP));
     68:   PetscCall(EPSSetFromOptions(eps));

     70:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     71:                       Solve the eigensystem
     72:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     74:   PetscCall(EPSSolve(eps));
     75:   PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
     76:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));

     78:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     79:                     Display solution and clean up
     80:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     82:   /* show detailed info unless -terse option is given by user */
     83:   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     84:   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
     85:   else {
     86:     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     87:     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     88:     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     89:     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     90:   }

     92:   PetscCall(EPSDestroy(&eps));
     93:   PetscCall(MatDestroy(&A));
     94:   PetscCall(MatDestroy(&B));
     95:   PetscCall(SlepcFinalize());
     96:   return 0;
     97: }

     99: /*TEST

    101:    testset:
    102:       args: -eps_nev 4 -eps_ncv 12 -terse -st_type sinvert -eps_krylovschur_restart .3
    103:       requires: !single
    104:       output_file: output/test18_1.out
    105:       test:
    106:          suffix: 1_ks
    107:       test:
    108:          suffix: 1_ks_gnhep
    109:          args: -eps_gen_non_hermitian
    110:          requires: !__float128
    111:       test:
    112:          suffix: 2_cuda_ks
    113:          args: -mat_type aijcusparse
    114:          requires: cuda
    115:       test:
    116:          suffix: 2_cuda_ks_gnhep
    117:          args: -eps_gen_non_hermitian -mat_type aijcusparse
    118:          requires: cuda

    120:    testset:
    121:       args: -n 10 -m 11 -eps_target 0.2 -eps_harmonic -eps_nev 2 -eps_ncv 8 -terse
    122:       requires: !single
    123:       filter: sed -e "s/[+-]0\.0*i//g"
    124:       output_file: output/test18_2.out
    125:       test:
    126:          suffix: 2_gd
    127:          args: -eps_type gd
    128:       test:
    129:          suffix: 2_jd
    130:          args: -eps_type jd -st_ksp_type bcgs

    132: TEST*/