Date: 2024-04-26T10:22:35+00:00

Actual source code: test5.c
slepc-3.21.1 2024-04-26
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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 PEP view and monitor functionality.\n\n";

     13: #include <slepcpep.h>

     15: int main(int argc,char **argv)
     16: {
     17:   Mat            A[3];
     18:   PEP            pep;
     19:   Vec            xr,xi;
     20:   PetscScalar    kr,ki;
     21:   PetscInt       n=6,Istart,Iend,i,nconv,its;
     22:   PetscReal      errest;
     23:   PetscBool      checkfile;
     24:   char           filename[PETSC_MAX_PATH_LEN];
     25:   PetscViewer    viewer;

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

     32:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     33:         Generate the matrices
     34:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     35:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A[0]));
     36:   PetscCall(MatSetSizes(A[0],PETSC_DECIDE,PETSC_DECIDE,n,n));
     37:   PetscCall(MatSetFromOptions(A[0]));
     38:   PetscCall(MatGetOwnershipRange(A[0],&Istart,&Iend));
     39:   for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(A[0],i,i,i+1,INSERT_VALUES));
     40:   PetscCall(MatAssemblyBegin(A[0],MAT_FINAL_ASSEMBLY));
     41:   PetscCall(MatAssemblyEnd(A[0],MAT_FINAL_ASSEMBLY));

     43:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A[1]));
     44:   PetscCall(MatSetSizes(A[1],PETSC_DECIDE,PETSC_DECIDE,n,n));
     45:   PetscCall(MatSetFromOptions(A[1]));
     46:   for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(A[1],i,i,-1.5,INSERT_VALUES));
     47:   PetscCall(MatAssemblyBegin(A[1],MAT_FINAL_ASSEMBLY));
     48:   PetscCall(MatAssemblyEnd(A[1],MAT_FINAL_ASSEMBLY));

     50:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A[2]));
     51:   PetscCall(MatSetSizes(A[2],PETSC_DECIDE,PETSC_DECIDE,n,n));
     52:   PetscCall(MatSetFromOptions(A[2]));
     53:   for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(A[2],i,i,-1.0/(i+1),INSERT_VALUES));
     54:   PetscCall(MatAssemblyBegin(A[2],MAT_FINAL_ASSEMBLY));
     55:   PetscCall(MatAssemblyEnd(A[2],MAT_FINAL_ASSEMBLY));

     57:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     58:                      Create the PEP solver
     59:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     60:   PetscCall(PEPCreate(PETSC_COMM_WORLD,&pep));
     61:   PetscCall(PetscObjectSetName((PetscObject)pep,"pep"));
     62:   PetscCall(PEPSetOperators(pep,3,A));
     63:   PetscCall(PEPSetFromOptions(pep));

     65:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     66:                 Solve the eigensystem and display solution
     67:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     68:   PetscCall(PEPSolve(pep));
     69:   PetscCall(PEPGetConverged(pep,&nconv));
     70:   PetscCall(PEPGetIterationNumber(pep,&its));
     71:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," %" PetscInt_FMT " converged eigenpairs after %" PetscInt_FMT " iterations\n",nconv,its));
     72:   if (nconv>0) {
     73:     PetscCall(MatCreateVecs(A[0],&xr,&xi));
     74:     PetscCall(PEPGetEigenpair(pep,0,&kr,&ki,xr,xi));
     75:     PetscCall(VecDestroy(&xr));
     76:     PetscCall(VecDestroy(&xi));
     77:     PetscCall(PEPGetErrorEstimate(pep,0,&errest));
     78:   }
     79:   PetscCall(PEPErrorView(pep,PEP_ERROR_RELATIVE,NULL));

     81:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     82:                    Check file containing the eigenvalues
     83:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     84:   PetscCall(PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile));
     85:   if (checkfile) {
     86: #if defined(PETSC_HAVE_COMPLEX)
     87:     PetscComplex *eigs,eval;
     88:     PetscCall(PetscMalloc1(nconv,&eigs));
     89:     PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
     90:     PetscCall(PetscViewerBinaryRead(viewer,eigs,nconv,NULL,PETSC_COMPLEX));
     91:     PetscCall(PetscViewerDestroy(&viewer));
     92:     for (i=0;i<nconv;i++) {
     93:       PetscCall(PEPGetEigenpair(pep,i,&kr,&ki,NULL,NULL));
     94: #if defined(PETSC_USE_COMPLEX)
     95:       eval = kr;
     96: #else
     97:       eval = PetscCMPLX(kr,ki);
     98: #endif
     99:       PetscCheck(eval==eigs[i],PETSC_COMM_WORLD,PETSC_ERR_FILE_UNEXPECTED,"Eigenvalues in the file do not match");
    100:     }
    101:     PetscCall(PetscFree(eigs));
    102: #else
    103:     SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"The -checkfile option requires C99 complex numbers");
    104: #endif
    105:   }

    107:   PetscCall(PEPDestroy(&pep));
    108:   PetscCall(MatDestroy(&A[0]));
    109:   PetscCall(MatDestroy(&A[1]));
    110:   PetscCall(MatDestroy(&A[2]));
    111:   PetscCall(SlepcFinalize());
    112:   return 0;
    113: }

    115: /*TEST

    117:    test:
    118:       suffix: 1
    119:       args: -pep_error_backward ::ascii_info_detail -pep_largest_real -pep_view_values -pep_monitor_conv -pep_error_absolute ::ascii_matlab -pep_monitor_all -pep_converged_reason -pep_view
    120:       requires: !single
    121:       filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/[+-]0\.0*i//g" -e "s/\([0-9]\.[5]*\)[+-][0-9]\.[0-9]*e-[0-9]*i/\\1/g" -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"

    123:    test:
    124:       suffix: 2
    125:       args: -n 12 -pep_largest_real -pep_monitor -pep_view_values ::ascii_matlab
    126:       requires: double
    127:       filter: sed -e "s/[+-][0-9]\.[0-9]*e-[0-9]*i//" -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g" -e "s/5\.\([49]\)999999[0-9]*e+00/5.\\1999999999999999e+00/"

    129:    test:
    130:       suffix: 3
    131:       args: -pep_nev 4 -pep_view_values binary:myvalues.bin -checkfile myvalues.bin
    132:       requires: double c99_complex

    134:    test:
    135:       suffix: 4
    136:       args: -pep_nev 4 -pep_ncv 10 -pep_refine -pep_conv_norm -pep_extract none -pep_scale scalar -pep_view -pep_monitor -pep_error_relative ::ascii_info_detail
    137:       requires: double !complex
    138:       filter: grep -v "tolerance" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"

    140:    test:
    141:       suffix: 5
    142:       args: -n 12 -pep_largest_real -pep_monitor draw::draw_lg -pep_monitor_all draw::draw_lg -pep_view_values draw -draw_save myeigen.ppm -draw_virtual
    143:       requires: x double

    145: TEST*/