Date: 2023-11-27T17:18:35+00:00

Actual source code: test28.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[] = "Tests multiple calls to EPSSolve with different matrix of different size.\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;
     21:   EPS            eps;
     22:   PetscInt       N,n=10,m=11,Istart,Iend,II,nev=3,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:   N = n*m;
     30:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));

     32:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     33:                 Create the 2-D Laplacian with coarse mesh
     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));
     40:   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
     41:   for (II=Istart;II<Iend;II++) {
     42:     i = II/n; j = II-i*n;
     43:     if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
     44:     if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
     45:     if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
     46:     if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
     47:     PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
     48:   }
     49:   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
     50:   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));

     52:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     53:         Create the eigensolver, set options and solve the eigensystem
     54:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     56:   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
     57:   PetscCall(EPSSetOperators(eps,A,NULL));
     58:   PetscCall(EPSSetProblemType(eps,EPS_HEP));
     59:   PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL));
     60:   PetscCall(EPSSetDimensions(eps,nev,PETSC_DEFAULT,PETSC_DEFAULT));
     61:   PetscCall(EPSSetFromOptions(eps));

     63:   PetscCall(EPSSolve(eps));

     65:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     66:                     Display solution of first solve
     67:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     69:   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     70:   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
     71:   else {
     72:     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     73:     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     74:     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     75:     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     76:   }

     78:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     79:                Create the 2-D Laplacian with finer mesh
     80:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     82:   n *= 2;
     83:   m *= 2;
     84:   N = n*m;
     85:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));

     87:   PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
     88:   PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
     89:   PetscCall(MatSetFromOptions(B));
     90:   PetscCall(MatSetUp(B));
     91:   PetscCall(MatGetOwnershipRange(B,&Istart,&Iend));
     92:   for (II=Istart;II<Iend;II++) {
     93:     i = II/n; j = II-i*n;
     94:     if (i>0) PetscCall(MatSetValue(B,II,II-n,-1.0,INSERT_VALUES));
     95:     if (i<m-1) PetscCall(MatSetValue(B,II,II+n,-1.0,INSERT_VALUES));
     96:     if (j>0) PetscCall(MatSetValue(B,II,II-1,-1.0,INSERT_VALUES));
     97:     if (j<n-1) PetscCall(MatSetValue(B,II,II+1,-1.0,INSERT_VALUES));
     98:     PetscCall(MatSetValue(B,II,II,4.0,INSERT_VALUES));
     99:   }
    100:   PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
    101:   PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));

    103:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    104:        Solve again, calling EPSReset() since matrix size has changed
    105:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    107:   /* PetscCall(EPSReset(eps)); */  /* not required, will be called in EPSSetOperators() */
    108:   PetscCall(EPSSetOperators(eps,B,NULL));
    109:   PetscCall(EPSSolve(eps));

    111:   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
    112:   else {
    113:     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
    114:     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
    115:     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
    116:     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
    117:   }

    119:   PetscCall(EPSDestroy(&eps));
    120:   PetscCall(MatDestroy(&A));
    121:   PetscCall(MatDestroy(&B));
    122:   PetscCall(SlepcFinalize());
    123:   return 0;
    124: }

    126: /*TEST

    128:    testset:
    129:       requires: !single
    130:       output_file: output/test28_1.out
    131:       test:
    132:          suffix: 1
    133:          args: -eps_type {{krylovschur arnoldi gd jd rqcg lobpcg lapack}} -terse
    134:       test:
    135:          suffix: 1_lanczos
    136:          args: -eps_type lanczos -eps_lanczos_reorthog local -terse

    138:    test:
    139:       suffix: 2
    140:       args: -eps_type {{power subspace}} -eps_target 8 -st_type sinvert -terse

    142:    testset:
    143:       args: -eps_interval 0.5,0.67 -terse
    144:       output_file: output/test28_3.out
    145:       test:
    146:          suffix: 3
    147:          args: -st_type sinvert -st_pc_type cholesky
    148:          requires: !single
    149:       test:
    150:          suffix: 3_evsl
    151:          nsize: {{1 2}}
    152:          args: -eps_type evsl -eps_evsl_dos_method lanczos
    153:          requires: evsl

    155: TEST*/