LCOV - code coverage report
Current view: top level - eps/tutorials - ex25.c (source / functions) Hit Total Coverage
Test: SLEPc Lines: 67 83 80.7 %
Date: 2024-05-02 01:08:00 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[] = "Spectrum slicing on generalized symmetric eigenproblem.\n\n"
      12             :   "The problem is similar to ex13.c.\n\n"
      13             :   "The command line options are:\n"
      14             :   "  -n <n>, where <n> = number of grid subdivisions in x dimension.\n"
      15             :   "  -m <m>, where <m> = number of grid subdivisions in y dimension.\n";
      16             : 
      17             : #include <slepceps.h>
      18             : 
      19           2 : int main(int argc,char **argv)
      20             : {
      21           2 :   Mat            A,B;         /* matrices */
      22           2 :   EPS            eps;         /* eigenproblem solver context */
      23           2 :   ST             st;          /* spectral transformation context */
      24           2 :   KSP            ksp;
      25           2 :   PC             pc;
      26           2 :   EPSType        type;
      27           2 :   PetscInt       N,n=10,m,Istart,Iend,II,nev,i,j,*inertias,ns;
      28           2 :   PetscReal      inta,intb,*shifts;
      29           2 :   PetscBool      flag,show=PETSC_FALSE,terse;
      30             : #if defined(PETSC_HAVE_MUMPS) && !defined(PETSC_USE_COMPLEX)
      31             :   Mat            F;
      32             : #endif
      33             : 
      34           2 :   PetscFunctionBeginUser;
      35           2 :   PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));
      36             : 
      37           2 :   PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
      38           2 :   PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
      39           2 :   PetscCall(PetscOptionsGetBool(NULL,NULL,"-show_inertias",&show,NULL));
      40           2 :   if (!flag) m=n;
      41           2 :   N = n*m;
      42           2 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSpectrum slicing on GHEP, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));
      43             : 
      44             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      45             :      Compute the matrices that define the eigensystem, Ax=kBx
      46             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      47             : 
      48           2 :   PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      49           2 :   PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
      50           2 :   PetscCall(MatSetFromOptions(A));
      51             : 
      52           2 :   PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
      53           2 :   PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
      54           2 :   PetscCall(MatSetFromOptions(B));
      55             : 
      56           2 :   PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
      57         202 :   for (II=Istart;II<Iend;II++) {
      58         200 :     i = II/n; j = II-i*n;
      59         200 :     if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
      60         200 :     if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
      61         200 :     if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
      62         200 :     if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
      63         200 :     PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
      64         200 :     PetscCall(MatSetValue(B,II,II,4.0,INSERT_VALUES));
      65             :   }
      66             : 
      67           2 :   PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
      68           2 :   PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
      69           2 :   PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
      70           2 :   PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
      71             : 
      72             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      73             :                 Create the eigensolver and set various options
      74             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      75             : 
      76             :   /*
      77             :      Create eigensolver context
      78             :   */
      79           2 :   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
      80             : 
      81             :   /*
      82             :      Set operators and set problem type
      83             :   */
      84           2 :   PetscCall(EPSSetOperators(eps,A,B));
      85           2 :   PetscCall(EPSSetProblemType(eps,EPS_GHEP));
      86             : 
      87             :   /*
      88             :      Set interval for spectrum slicing
      89             :   */
      90           2 :   inta = 0.1;
      91           2 :   intb = 0.2;
      92           2 :   PetscCall(EPSSetInterval(eps,inta,intb));
      93           2 :   PetscCall(EPSSetWhichEigenpairs(eps,EPS_ALL));
      94             : 
      95             :   /*
      96             :      Spectrum slicing requires Krylov-Schur
      97             :   */
      98           2 :   PetscCall(EPSSetType(eps,EPSKRYLOVSCHUR));
      99             : 
     100             :   /*
     101             :      Set shift-and-invert with Cholesky; select MUMPS if available
     102             :   */
     103             : 
     104           2 :   PetscCall(EPSGetST(eps,&st));
     105           2 :   PetscCall(STSetType(st,STSINVERT));
     106           2 :   PetscCall(EPSKrylovSchurGetKSP(eps,&ksp));
     107           2 :   PetscCall(KSPSetType(ksp,KSPPREONLY));
     108           2 :   PetscCall(KSPGetPC(ksp,&pc));
     109           2 :   PetscCall(PCSetType(pc,PCCHOLESKY));
     110             : 
     111             :   /*
     112             :      Use MUMPS if available.
     113             :      Note that in complex scalars we cannot use MUMPS for spectrum slicing,
     114             :      because MatGetInertia() is not available in that case.
     115             :   */
     116             : #if defined(PETSC_HAVE_MUMPS) && !defined(PETSC_USE_COMPLEX)
     117             :   PetscCall(EPSKrylovSchurSetDetectZeros(eps,PETSC_TRUE));  /* enforce zero detection */
     118             :   PetscCall(PCFactorSetMatSolverType(pc,MATSOLVERMUMPS));
     119             :   PetscCall(PCFactorSetUpMatSolverType(pc));
     120             :   /*
     121             :      Set several MUMPS options, the corresponding command-line options are:
     122             :      '-st_mat_mumps_icntl_13 1': turn off ScaLAPACK for matrix inertia
     123             :      '-st_mat_mumps_icntl_24 1': detect null pivots in factorization (for the case that a shift is equal to an eigenvalue)
     124             :      '-st_mat_mumps_cntl_3 <tol>': a tolerance used for null pivot detection (must be larger than machine epsilon)
     125             : 
     126             :      Note: depending on the interval, it may be necessary also to increase the workspace:
     127             :      '-st_mat_mumps_icntl_14 <percentage>': increase workspace with a percentage (50, 100 or more)
     128             :   */
     129             :   PetscCall(PCFactorGetMatrix(pc,&F));
     130             :   PetscCall(MatMumpsSetIcntl(F,13,1));
     131             :   PetscCall(MatMumpsSetIcntl(F,24,1));
     132             :   PetscCall(MatMumpsSetCntl(F,3,1e-12));
     133             : #endif
     134             : 
     135             :   /*
     136             :      Set solver parameters at runtime
     137             :   */
     138           2 :   PetscCall(EPSSetFromOptions(eps));
     139             : 
     140             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     141             :                       Solve the eigensystem
     142             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     143           2 :   PetscCall(EPSSetUp(eps));
     144           2 :   if (show) {
     145           0 :     PetscCall(EPSKrylovSchurGetInertias(eps,&ns,&shifts,&inertias));
     146           0 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Subintervals (after setup):\n"));
     147           0 :     for (i=0;i<ns;i++) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Shift %g  Inertia %" PetscInt_FMT " \n",(double)shifts[i],inertias[i]));
     148           0 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n"));
     149           0 :     PetscCall(PetscFree(shifts));
     150           0 :     PetscCall(PetscFree(inertias));
     151             :   }
     152           2 :   PetscCall(EPSSolve(eps));
     153           2 :   if (show) {
     154           0 :     PetscCall(EPSKrylovSchurGetInertias(eps,&ns,&shifts,&inertias));
     155           0 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"All shifts (after solve):\n"));
     156           0 :     for (i=0;i<ns;i++) PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Shift %g  Inertia %" PetscInt_FMT " \n",(double)shifts[i],inertias[i]));
     157           0 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n"));
     158           0 :     PetscCall(PetscFree(shifts));
     159           0 :     PetscCall(PetscFree(inertias));
     160             :   }
     161             : 
     162             :   /*
     163             :      Show eigenvalues in interval and print solution
     164             :   */
     165           2 :   PetscCall(EPSGetType(eps,&type));
     166           2 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
     167           2 :   PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
     168           2 :   PetscCall(EPSGetInterval(eps,&inta,&intb));
     169           2 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," %" PetscInt_FMT " eigenvalues found in [%g, %g]\n",nev,(double)inta,(double)intb));
     170             : 
     171             :   /*
     172             :      Show detailed info unless -terse option is given by user
     173             :    */
     174           2 :   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     175           2 :   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
     176             :   else {
     177           0 :     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     178           0 :     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     179           0 :     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     180           0 :     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     181             :   }
     182             : 
     183             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     184             :                     Clean up
     185             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     186           2 :   PetscCall(EPSDestroy(&eps));
     187           2 :   PetscCall(MatDestroy(&A));
     188           2 :   PetscCall(MatDestroy(&B));
     189           2 :   PetscCall(SlepcFinalize());
     190             :   return 0;
     191             : }
     192             : 
     193             : /*TEST
     194             : 
     195             :    testset:
     196             :       args: -terse
     197             :       test:
     198             :          requires: !mumps
     199             :       test:
     200             :          requires: mumps !complex
     201             : 
     202             : TEST*/

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