Actual source code: ex14.c

      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[] = "Solves a singular value problem with the matrix loaded from a file.\n\n"
     12:   "This example works for both real and complex numbers.\n\n"
     13:   "The command line options are:\n"
     14:   "  -file <filename>, where <filename> = matrix file in PETSc binary form.\n\n";

     16: #include <slepcsvd.h>

     18: int main(int argc,char **argv)
     19: {
     20:   Mat            A;               /* operator matrix */
     21:   SVD            svd;             /* singular value problem solver context */
     22:   SVDType        type;
     23:   SVDStop        stop;
     24:   PetscReal      tol,thres;
     25:   PetscInt       nsv,maxit,its;
     26:   char           filename[PETSC_MAX_PATH_LEN];
     27:   PetscViewer    viewer;
     28:   PetscBool      flg,terse;

     30:   PetscFunctionBeginUser;
     31:   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));

     33:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     34:         Load the operator matrix that defines the singular value problem
     35:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     37:   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSingular value problem stored in file.\n\n"));
     38:   PetscCall(PetscOptionsGetString(NULL,NULL,"-file",filename,sizeof(filename),&flg));
     39:   PetscCheck(flg,PETSC_COMM_WORLD,PETSC_ERR_USER_INPUT,"Must indicate a file name with the -file option");

     41: #if defined(PETSC_USE_COMPLEX)
     42:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading COMPLEX matrix from a binary file...\n"));
     43: #else
     44:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading REAL matrix from a binary file...\n"));
     45: #endif
     46:   PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
     47:   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
     48:   PetscCall(MatSetFromOptions(A));
     49:   PetscCall(MatLoad(A,viewer));
     50:   PetscCall(PetscViewerDestroy(&viewer));

     52:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     53:                 Create the singular value solver and set various options
     54:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     56:   /*
     57:      Create singular value solver context
     58:   */
     59:   PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));

     61:   /*
     62:      Set operator
     63:   */
     64:   PetscCall(SVDSetOperators(svd,A,NULL));

     66:   /*
     67:      Set solver parameters at runtime
     68:   */
     69:   PetscCall(SVDSetFromOptions(svd));

     71:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     72:                       Solve the singular value system
     73:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     75:   PetscCall(SVDSolve(svd));
     76:   PetscCall(SVDGetIterationNumber(svd,&its));
     77:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %" PetscInt_FMT "\n",its));

     79:   /*
     80:      Optional: Get some information from the solver and display it
     81:   */
     82:   PetscCall(SVDGetType(svd,&type));
     83:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
     84:   PetscCall(SVDGetStoppingTest(svd,&stop));
     85:   if (stop!=SVD_STOP_THRESHOLD) {
     86:     PetscCall(SVDGetDimensions(svd,&nsv,NULL,NULL));
     87:     PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested singular values: %" PetscInt_FMT "\n",nsv));
     88:   } else {
     89:     PetscCall(SVDGetThreshold(svd,&thres,NULL));
     90:     PetscCall(PetscPrintf(PETSC_COMM_WORLD," Using threshold: %.4g\n",(double)thres));
     91:   }
     92:   PetscCall(SVDGetTolerances(svd,&tol,&maxit));
     93:   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%" PetscInt_FMT "\n",(double)tol,maxit));

     95:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     96:                     Display solution and clean up
     97:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

     99:   /* show detailed info unless -terse option is given by user */
    100:   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
    101:   if (terse) PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
    102:   else {
    103:     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
    104:     PetscCall(SVDConvergedReasonView(svd,PETSC_VIEWER_STDOUT_WORLD));
    105:     PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
    106:     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
    107:   }
    108:   PetscCall(SVDDestroy(&svd));
    109:   PetscCall(MatDestroy(&A));
    110:   PetscCall(SlepcFinalize());
    111:   return 0;
    112: }
    113: /*TEST

    115:    testset:
    116:       requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
    117:       args: -file ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc -terse
    118:       test:
    119:          suffix: 1
    120:          args: -svd_nsv 4 -svd_standard -svd_ncv 12 -svd_type {{trlanczos lanczos randomized cross}}
    121:          filter: grep -v method
    122:       test:
    123:          suffix: 1_scalapack
    124:          nsize: {{1 2 3}}
    125:          args: -svd_nsv 4 -svd_type scalapack
    126:          requires: scalapack
    127:       test:
    128:          suffix: 1_elemental
    129:          nsize: {{1 2 3}}
    130:          args: -svd_nsv 4 -svd_type elemental
    131:          output_file: output/ex14_1_scalapack.out
    132:          filter: sed -e "s/elemental/scalapack/"
    133:          requires: elemental
    134:       test:
    135:          suffix: 1_ksvd
    136:          nsize: 6
    137:          args: -svd_nsv 4 -svd_type ksvd -svd_ksvd_eigen_method {{mrrr elpa}} -svd_ksvd_polar_method {{qdwh zolopd}}
    138:          output_file: output/ex14_1_scalapack.out
    139:          filter: sed -e "s/ksvd/scalapack/"
    140:          requires: elpa polar ksvd
    141:       test:
    142:          suffix: 2
    143:          args: -svd_nsv 2 -svd_type cyclic -svd_cyclic_explicitmatrix -svd_cyclic_st_type sinvert -svd_cyclic_eps_target 12.5 -svd_cyclic_st_ksp_type preonly -svd_cyclic_st_pc_type lu -svd_view
    144:          filter: grep -v tolerance
    145:       test:
    146:          suffix: 2_cross
    147:          args: -svd_nsv 2 -svd_type cross -svd_cross_explicitmatrix -svd_cross_st_type sinvert -svd_cross_eps_target 100.0
    148:          filter: grep -v tolerance

    150:    testset:
    151:       requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)
    152:       args: -file ${DATAFILESPATH}/matrices/complex/qc324.petsc -terse
    153:       test:
    154:          suffix: 1_complex
    155:          args: -svd_nsv 4
    156:       test:
    157:          suffix: 1_complex_scalapack
    158:          nsize: {{1 2 3}}
    159:          args: -svd_nsv 4 -svd_type scalapack
    160:          requires: scalapack
    161:       test:
    162:          suffix: 1_complex_elemental
    163:          nsize: {{1 2 3}}
    164:          args: -svd_nsv 4 -svd_type elemental
    165:          requires: elemental
    166:       test:
    167:          suffix: 2_complex
    168:          args: -svd_nsv 2 -svd_type cyclic -svd_cyclic_explicitmatrix -svd_cyclic_st_type sinvert -svd_cyclic_eps_target 12.0 -svd_cyclic_st_ksp_type preonly -svd_cyclic_st_pc_type lu -svd_view
    169:          filter: grep -v tolerance

    171:    testset:
    172:       args: -svd_nsv 5 -svd_type randomized -svd_max_it 1 -svd_conv_maxit
    173:       test:
    174:          suffix: 3
    175:          args: -file ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc
    176:          requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
    177:       test:
    178:          suffix: 3_complex
    179:          args: -file ${DATAFILESPATH}/matrices/complex/qc324.petsc
    180:          requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)
    181:          filter: sed -e 's/[0-9][0-9]$//'

    183:    testset:
    184:       args: -svd_type {{trlanczos lanczos cross}} -terse
    185:       filter: grep -v method
    186:       test:
    187:          suffix: 4
    188:          args: -file ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc -svd_threshold_relative 0.9 -svd_ncv {{26 12}}
    189:          requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
    190:       test:
    191:          suffix: 4_complex
    192:          args: -file ${DATAFILESPATH}/matrices/complex/qc324.petsc -svd_threshold_relative 0.6 -svd_ncv {{18 10}}
    193:          requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)

    195: TEST*/