LCOV - code coverage report
Current view: top level - svd/tutorials - ex48.c (source / functions) Hit Total Coverage
Test: SLEPc Lines: 53 85 62.4 %
Date: 2024-11-21 00:34:55 Functions: 1 1 100.0 %
Legend: Lines: hit not hit

          Line data    Source code
       1             : /*
       2             :    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
       3             :    SLEPc - Scalable Library for Eigenvalue Problem Computations
       4             :    Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
       5             : 
       6             :    This file is part of SLEPc.
       7             :    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
       8             :    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
       9             : */
      10             : 
      11             : static char help[] = "Solves a GSVD problem with matrices loaded from a file.\n"
      12             :   "The command line options are:\n"
      13             :   "  -f1 <filename>, PETSc binary file containing matrix A.\n"
      14             :   "  -f2 <filename>, PETSc binary file containing matrix B (optional). Instead of"
      15             :   "     a file it is possible to specify one of 'identity', 'bidiagonal' or 'tridiagonal'"
      16             :   "  -p <p>, in case B is not taken from a file.\n\n";
      17             : 
      18             : #include <slepcsvd.h>
      19             : 
      20          16 : int main(int argc,char **argv)
      21             : {
      22          16 :   Mat            A,B;             /* matrices */
      23          16 :   SVD            svd;             /* singular value problem solver context */
      24          16 :   PetscInt       i,m,n,p,Istart,Iend,col[3];
      25          16 :   PetscScalar    vals[3];
      26          16 :   char           filename[PETSC_MAX_PATH_LEN];
      27          16 :   PetscViewer    viewer;
      28          16 :   PetscBool      flg,terse;
      29             : 
      30          16 :   PetscFunctionBeginUser;
      31          16 :   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
      32             : 
      33             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      34             :         Load matrices that define the generalized singular value problem
      35             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      36             : 
      37          16 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nGeneralized singular value problem stored in file.\n\n"));
      38          16 :   PetscCall(PetscOptionsGetString(NULL,NULL,"-f1",filename,sizeof(filename),&flg));
      39          16 :   PetscCheck(flg,PETSC_COMM_WORLD,PETSC_ERR_USER_INPUT,"Must indicate a file name for matrix A with the -f1 option");
      40             : 
      41             : #if defined(PETSC_USE_COMPLEX)
      42             :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading COMPLEX matrix from a binary file...\n"));
      43             : #else
      44          16 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading REAL matrix from a binary file...\n"));
      45             : #endif
      46          16 :   PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
      47          16 :   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      48          16 :   PetscCall(MatSetFromOptions(A));
      49          16 :   PetscCall(MatLoad(A,viewer));
      50          16 :   PetscCall(PetscViewerDestroy(&viewer));
      51             : 
      52          16 :   PetscCall(MatGetSize(A,&m,&n));
      53             : 
      54          16 :   PetscCall(PetscOptionsGetString(NULL,NULL,"-f2",filename,sizeof(filename),&flg));
      55          16 :   PetscCheck(flg,PETSC_COMM_WORLD,PETSC_ERR_USER_INPUT,"Must indicate a file name for matrix B with the -f2 option, or alternatively the strings 'identity', 'bidiagonal', or 'tridiagonal'");
      56          16 :   PetscCall(PetscStrcmp(filename,"identity",&flg));
      57          16 :   if (flg) {
      58           8 :     p = n;
      59           8 :     PetscCall(PetscOptionsGetInt(NULL,NULL,"-p",&p,&flg));
      60           8 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD," Using B=I with p=%" PetscInt_FMT "\n\n",p));
      61           8 :     PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
      62           8 :     PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,p,n));
      63           8 :     PetscCall(MatSetFromOptions(B));
      64           8 :     PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
      65           8 :     PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
      66           8 :     PetscCall(MatShift(B,1.0));
      67             :   } else {
      68           8 :     PetscCall(PetscStrcmp(filename,"bidiagonal",&flg));
      69           8 :     if (flg) {
      70           0 :       p = n+1;
      71           0 :       PetscCall(PetscOptionsGetInt(NULL,NULL,"-p",&p,&flg));
      72           0 :       vals[0]=-1; vals[1]=1;
      73           0 :       PetscCall(PetscPrintf(PETSC_COMM_WORLD," Using B=bidiag(1,-1) with p=%" PetscInt_FMT "\n\n",p));
      74           0 :       PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
      75           0 :       PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,p,n));
      76           0 :       PetscCall(MatSetFromOptions(B));
      77           0 :       PetscCall(MatGetOwnershipRange(B,&Istart,&Iend));
      78           0 :       for (i=Istart;i<Iend;i++) {
      79           0 :         col[0]=i-1; col[1]=i;
      80           0 :         if (i==0) PetscCall(MatSetValue(B,i,col[1],vals[1],INSERT_VALUES));
      81           0 :         else if (i<n) PetscCall(MatSetValues(B,1,&i,2,col,vals,INSERT_VALUES));
      82           0 :         else if (i==n) PetscCall(MatSetValue(B,i,col[0],vals[0],INSERT_VALUES));
      83             :       }
      84           0 :       PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
      85           0 :       PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
      86             :     } else {
      87           8 :       PetscCall(PetscStrcmp(filename,"tridiagonal",&flg));
      88           8 :       if (flg) {
      89           0 :         p = n-2;
      90           0 :         PetscCall(PetscOptionsGetInt(NULL,NULL,"-p",&p,&flg));
      91           0 :         vals[0]=-1; vals[1]=2; vals[2]=-1;
      92           0 :         PetscCall(PetscPrintf(PETSC_COMM_WORLD," Using B=tridiag(-1,2,-1) with p=%" PetscInt_FMT "\n\n",p));
      93           0 :         PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
      94           0 :         PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,p,n));
      95           0 :         PetscCall(MatSetFromOptions(B));
      96           0 :         PetscCall(MatGetOwnershipRange(B,&Istart,&Iend));
      97           0 :         for (i=Istart;i<Iend;i++) {
      98           0 :           col[0]=i; col[1]=i+1; col[2]=i+2;
      99           0 :           PetscCall(MatSetValues(B,1,&i,3,col,vals,INSERT_VALUES));
     100             :         }
     101           0 :         PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
     102           0 :         PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
     103             :       } else {  /* load file */
     104           8 :         PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
     105           8 :         PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
     106           8 :         PetscCall(MatSetFromOptions(B));
     107           8 :         PetscCall(MatLoad(B,viewer));
     108           8 :         PetscCall(PetscViewerDestroy(&viewer));
     109             :       }
     110             :     }
     111             :   }
     112             : 
     113             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     114             :            Create the singular value solver and set various options
     115             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     116             : 
     117             :   /*
     118             :      Create singular value solver context
     119             :   */
     120          16 :   PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));
     121             : 
     122             :   /*
     123             :      Set operators of GSVD problem
     124             :   */
     125          16 :   PetscCall(SVDSetOperators(svd,A,B));
     126          16 :   PetscCall(SVDSetProblemType(svd,SVD_GENERALIZED));
     127             : 
     128             :   /*
     129             :      Set solver parameters at runtime
     130             :   */
     131          16 :   PetscCall(SVDSetFromOptions(svd));
     132             : 
     133             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     134             :                       Solve the problem and print solution
     135             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     136             : 
     137          16 :   PetscCall(SVDSolve(svd));
     138             : 
     139             :   /* show detailed info unless -terse option is given by user */
     140          16 :   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     141          16 :   if (terse) PetscCall(SVDErrorView(svd,SVD_ERROR_NORM,NULL));
     142             :   else {
     143           0 :     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     144           0 :     PetscCall(SVDConvergedReasonView(svd,PETSC_VIEWER_STDOUT_WORLD));
     145           0 :     PetscCall(SVDErrorView(svd,SVD_ERROR_NORM,PETSC_VIEWER_STDOUT_WORLD));
     146           0 :     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     147             :   }
     148          16 :   PetscCall(SVDDestroy(&svd));
     149          16 :   PetscCall(MatDestroy(&A));
     150          16 :   PetscCall(MatDestroy(&B));
     151          16 :   PetscCall(SlepcFinalize());
     152             :   return 0;
     153             : }
     154             : /*TEST
     155             : 
     156             :    testset:
     157             :       requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
     158             :       args: -f1 ${SLEPC_DIR}/share/slepc/datafiles/matrices/bfw62a.petsc -f2 ${SLEPC_DIR}/share/slepc/datafiles/matrices/bfw62b.petsc -svd_nsv 3 -terse
     159             :       output_file: output/ex48_1.out
     160             :       test:
     161             :          suffix: 1
     162             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix {{0 1}} -svd_trlanczos_scale 1e5 -svd_trlanczos_ksp_rtol 1e-15
     163             :       test:
     164             :          suffix: 1_spqr
     165             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix -svd_trlanczos_pc_type qr -svd_trlanczos_scale 1e5 -svd_trlanczos_oneside {{0 1}}
     166             :          requires: suitesparse
     167             :       test:
     168             :          suffix: 1_autoscale
     169             :          args: -svd_type trlanczos -svd_trlanczos_gbidiag {{lower upper}} -svd_trlanczos_scale -5 -svd_trlanczos_ksp_rtol 1e-16 -svd_trlanczos_oneside {{0 1}}
     170             :       test:
     171             :          suffix: 1_cross
     172             :          args: -svd_type cross -svd_cross_explicitmatrix
     173             :       test:
     174             :          suffix: 1_cyclic
     175             :          args: -svd_type cyclic -svd_cyclic_explicitmatrix
     176             : 
     177             :    testset:
     178             :       requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)
     179             :       args: -f1 ${DATAFILESPATH}/matrices/complex/qc324.petsc -f2 bidiagonal -svd_nsv 3 -terse
     180             :       output_file: output/ex48_2.out
     181             :       filter: sed -e "s/30749/30748/"
     182             :       timeoutfactor: 2
     183             :       test:
     184             :          suffix: 2
     185             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix {{0 1}} -svd_trlanczos_ksp_rtol 1e-10 -svd_trlanczos_scale 100
     186             :          requires: !defined(PETSCTEST_VALGRIND)
     187             :       test:
     188             :          suffix: 2_spqr
     189             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix -svd_trlanczos_pc_type qr -svd_trlanczos_ksp_rtol 1e-10
     190             :          requires: suitesparse
     191             :       test:
     192             :          suffix: 2_cross
     193             :          args: -svd_type cross -svd_cross_explicitmatrix
     194             :       test:
     195             :          suffix: 2_cyclic
     196             :          args: -svd_type cyclic -svd_cyclic_explicitmatrix
     197             : 
     198             :    test:
     199             :       requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES) !defined(PETSCTEST_VALGRIND)
     200             :       args: -f1 ${DATAFILESPATH}/matrices/complex/qc324.petsc -f2 bidiagonal -p 320 -svd_nsv 3 -svd_type trlanczos -svd_trlanczos_ksp_rtol 1e-14 -svd_trlanczos_scale 100 -terse
     201             :       timeoutfactor: 2
     202             :       suffix: 3
     203             : 
     204             :    testset:
     205             :       requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
     206             :       args: -f1 ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc -f2 identity -svd_nsv 3 -svd_ncv 24 -svd_smallest -terse
     207             :       output_file: output/ex48_4.out
     208             :       test:
     209             :          suffix: 4
     210             :          args: -svd_type trlanczos
     211             :       test:
     212             :          suffix: 4_spqr
     213             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix -svd_trlanczos_pc_type qr
     214             :          requires: suitesparse
     215             :       test:
     216             :          suffix: 4_cross
     217             :          args: -svd_type cross -svd_cross_explicitmatrix
     218             :       test:
     219             :          suffix: 4_cross_implicit
     220             :          args: -svd_type cross -svd_cross_eps_type lobpcg -svd_cross_st_ksp_type cg -svd_cross_st_pc_type jacobi -svd_max_it 1000
     221             :       test:
     222             :          suffix: 4_cyclic
     223             :          args: -svd_type cyclic -svd_cyclic_explicitmatrix
     224             :       test:
     225             :          suffix: 4_hpddm
     226             :          nsize: 4
     227             :          args: -svd_type trlanczos -svd_trlanczos_explicitmatrix -svd_trlanczos_pc_type hpddm
     228             :          args: -prefix_push svd_trlanczos_pc_hpddm_ -levels_1_st_share_sub_ksp -levels_1_eps_nev 10 -levels_1_eps_threshold 0.005 -levels_1_pc_asm_type basic -define_subdomains -levels_1_pc_asm_sub_mat_type sbaij -levels_1_sub_pc_type cholesky -prefix_pop
     229             :          requires: hpddm
     230             : 
     231             : TEST*/

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