LCOV - code coverage report
Current view: top level - eps/tutorials - ex2.c (source / functions) Hit Total Coverage
Test: SLEPc Lines: 40 44 90.9 %
Date: 2024-11-21 00:40:22 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[] = "Standard symmetric eigenproblem corresponding to the Laplacian operator in 2 dimensions.\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";
      15             : 
      16             : #include <slepceps.h>
      17             : 
      18          13 : int main(int argc,char **argv)
      19             : {
      20          13 :   Mat            A;               /* operator matrix */
      21          13 :   EPS            eps;             /* eigenproblem solver context */
      22          13 :   EPSType        type;
      23          13 :   PetscInt       N,n=10,m,Istart,Iend,II,nev,i,j;
      24          13 :   PetscBool      flag,terse;
      25             : 
      26          13 :   PetscFunctionBeginUser;
      27          13 :   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
      28             : 
      29          13 :   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
      30          13 :   PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
      31          13 :   if (!flag) m=n;
      32          13 :   N = n*m;
      33          13 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));
      34             : 
      35             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      36             :      Compute the operator matrix that defines the eigensystem, Ax=kx
      37             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      38             : 
      39          13 :   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      40          13 :   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
      41          13 :   PetscCall(MatSetFromOptions(A));
      42             : 
      43          13 :   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
      44       21991 :   for (II=Istart;II<Iend;II++) {
      45       21978 :     i = II/n; j = II-i*n;
      46       21978 :     if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
      47       21978 :     if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
      48       21978 :     if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
      49       21978 :     if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
      50       21978 :     PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
      51             :   }
      52             : 
      53          13 :   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
      54          13 :   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
      55             : 
      56             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      57             :                 Create the eigensolver and set various options
      58             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      59             : 
      60             :   /*
      61             :      Create eigensolver context
      62             :   */
      63          13 :   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
      64             : 
      65             :   /*
      66             :      Set operators. In this case, it is a standard eigenvalue problem
      67             :   */
      68          13 :   PetscCall(EPSSetOperators(eps,A,NULL));
      69          13 :   PetscCall(EPSSetProblemType(eps,EPS_HEP));
      70             : 
      71             :   /*
      72             :      Set solver parameters at runtime
      73             :   */
      74          13 :   PetscCall(EPSSetFromOptions(eps));
      75             : 
      76             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      77             :                       Solve the eigensystem
      78             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      79             : 
      80          13 :   PetscCall(EPSSolve(eps));
      81             : 
      82             :   /*
      83             :      Optional: Get some information from the solver and display it
      84             :   */
      85          13 :   PetscCall(EPSGetType(eps,&type));
      86          13 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
      87          13 :   PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
      88          13 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
      89             : 
      90             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      91             :                     Display solution and clean up
      92             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      93             : 
      94             :   /* show detailed info unless -terse option is given by user */
      95          13 :   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
      96          13 :   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
      97             :   else {
      98           0 :     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
      99           0 :     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     100           0 :     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     101           0 :     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     102             :   }
     103          13 :   PetscCall(EPSDestroy(&eps));
     104          13 :   PetscCall(MatDestroy(&A));
     105          13 :   PetscCall(SlepcFinalize());
     106             :   return 0;
     107             : }
     108             : 
     109             : /*TEST
     110             : 
     111             :    testset:
     112             :       args: -n 72 -eps_nev 4 -eps_ncv 20 -terse
     113             :       output_file: output/ex2_1.out
     114             :       requires: !single
     115             :       test:
     116             :          suffix: 1
     117             :       test:
     118             :          suffix: 2
     119             :          args: -library_preload
     120             : 
     121             :    testset:
     122             :       args: -n 30 -eps_type ciss -eps_ciss_realmats -terse
     123             :       requires: !single
     124             :       output_file: output/ex2_ciss.out
     125             :       filter: grep -v method
     126             :       test:
     127             :          suffix: ciss_1
     128             :          nsize: 1
     129             :          args: -rg_type interval -rg_interval_endpoints 1.1,1.25,-.1,.1
     130             :          requires: complex
     131             :       test:
     132             :          suffix: ciss_1_hpddm
     133             :          nsize: 1
     134             :          args: -rg_type interval -rg_interval_endpoints 1.1,1.25 -st_ksp_type hpddm
     135             :          requires: hpddm
     136             :       test:
     137             :          suffix: ciss_2
     138             :          nsize: 2
     139             :          args: -rg_type ellipse -rg_ellipse_center 1.175 -rg_ellipse_radius 0.075 -eps_ciss_partitions 2
     140             :       test:
     141             :          suffix: ciss_2_block
     142             :          args: -rg_type ellipse -rg_ellipse_center 1.175 -rg_ellipse_radius 0.075 -eps_ciss_blocksize 3 -eps_ciss_moments 2
     143             :          requires: complex !__float128
     144             :       test:
     145             :          suffix: ciss_2_hpddm
     146             :          nsize: 2
     147             :          args: -rg_type ellipse -rg_ellipse_center 1.175 -rg_ellipse_radius 0.075 -eps_ciss_partitions 2 -eps_ciss_ksp_type hpddm
     148             :          requires: hpddm
     149             :       test:
     150             :          suffix: feast
     151             :          args: -eps_type feast -eps_interval 1.1,1.25 -eps_ncv 64 -options_left 0
     152             :          requires: feast
     153             : 
     154             :    testset:
     155             :       args: -n 30 -m 30 -eps_interval 3.9,4.15 -terse
     156             :       output_file: output/ex2_3.out
     157             :       filter: grep -v Solution
     158             :       requires: !single
     159             :       test:
     160             :          suffix: 3
     161             :          args: -st_type sinvert -st_pc_type cholesky
     162             :       test:
     163             :          suffix: 3_evsl
     164             :          args: -eps_type evsl -eps_evsl_slices 6
     165             :          requires: evsl
     166             : 
     167             :    testset:
     168             :       args: -n 45 -m 46 -eps_interval 4.54,4.57 -eps_ncv 24 -terse
     169             :       output_file: output/ex2_4.out
     170             :       filter: grep -v Solution
     171             :       requires: !single
     172             :       timeoutfactor: 2
     173             :       test:
     174             :          suffix: 4
     175             :          args: -st_type sinvert -st_pc_type cholesky
     176             :       test:
     177             :          suffix: 4_filter
     178             :          args: -eps_type {{krylovschur subspace}} -st_type filter -st_filter_degree 200
     179             :          requires: !__float128
     180             :       test:
     181             :          suffix: 4_filter_cuda
     182             :          args: -eps_type {{krylovschur subspace}} -st_type filter -st_filter_degree 200 -mat_type aijcusparse
     183             :          requires: cuda
     184             :       test:
     185             :          suffix: 4_filter_hip
     186             :          args: -eps_type {{krylovschur subspace}} -st_type filter -st_filter_degree 200 -mat_type aijhipsparse
     187             :          requires: hip
     188             :       test:
     189             :          suffix: 4_evsl
     190             :          args: -eps_type evsl
     191             :          requires: evsl
     192             : 
     193             : TEST*/

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