LCOV - code coverage report
Current view: top level - eps/tutorials - ex44.c (source / functions) Hit Total Coverage
Test: SLEPc Lines: 56 67 83.6 %
Date: 2024-12-18 00:51:33 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[] = "Compute rightmost eigenvalues with Lyapunov inverse iteration.\n\n"
      12             :   "Loads matrix from a file or builds the same problem as ex36.c (with fixed parameters).\n\n"
      13             :   "The command line options are:\n"
      14             :   "  -file <filename>, where <filename> = matrix file in PETSc binary form.\n"
      15             :   "  -shift <sigma>, shift to make the matrix stable.\n"
      16             :   "  -n <n>, block dimension of the 2x2 block matrix (if matrix is generated).\n\n";
      17             : 
      18             : #include <slepceps.h>
      19             : 
      20           4 : int main(int argc,char **argv)
      21             : {
      22           4 :   Mat            A;               /* operator matrix */
      23           4 :   EPS            eps;             /* eigenproblem solver context */
      24           4 :   EPSType        type;
      25           4 :   PetscScalar    alpha,beta,tau1,tau2,delta1,delta2,L,h,sigma=0.0;
      26           4 :   PetscInt       n=30,i,Istart,Iend,nev;
      27           4 :   char           filename[PETSC_MAX_PATH_LEN];
      28           4 :   PetscViewer    viewer;
      29           4 :   PetscBool      flg,terse;
      30             : 
      31           4 :   PetscFunctionBeginUser;
      32           4 :   PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
      33             : 
      34           4 :   PetscCall(PetscOptionsGetString(NULL,NULL,"-file",filename,sizeof(filename),&flg));
      35           4 :   if (flg) {
      36             : 
      37             :     /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      38             :                         Load the matrix from file
      39             :        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      40           0 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nEigenproblem stored in file.\n\n"));
      41             : #if defined(PETSC_USE_COMPLEX)
      42           0 :     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           0 :     PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
      47           0 :     PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      48           0 :     PetscCall(MatSetFromOptions(A));
      49           0 :     PetscCall(MatLoad(A,viewer));
      50           0 :     PetscCall(PetscViewerDestroy(&viewer));
      51             : 
      52             :   } else {
      53             : 
      54             :     /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      55             :           Generate Brusselator matrix
      56             :        - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      57           4 :     PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
      58           4 :     PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nBrusselator wave model, n=%" PetscInt_FMT "\n\n",n));
      59             : 
      60           4 :     alpha  = 2.0;
      61           4 :     beta   = 5.45;
      62           4 :     delta1 = 0.008;
      63           4 :     delta2 = 0.004;
      64           4 :     L      = 0.51302;
      65             : 
      66           4 :     h = 1.0 / (PetscReal)(n+1);
      67           4 :     tau1 = delta1 / ((h*L)*(h*L));
      68           4 :     tau2 = delta2 / ((h*L)*(h*L));
      69             : 
      70           4 :     PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
      71           4 :     PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,2*n,2*n));
      72           4 :     PetscCall(MatSetFromOptions(A));
      73             : 
      74           4 :     PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
      75         244 :     for (i=Istart;i<Iend;i++) {
      76         240 :       if (i<n) {  /* upper blocks */
      77         120 :         if (i>0) PetscCall(MatSetValue(A,i,i-1,tau1,INSERT_VALUES));
      78         120 :         if (i<n-1) PetscCall(MatSetValue(A,i,i+1,tau1,INSERT_VALUES));
      79         120 :         PetscCall(MatSetValue(A,i,i,-2.0*tau1+beta-1.0,INSERT_VALUES));
      80         120 :         PetscCall(MatSetValue(A,i,i+n,alpha*alpha,INSERT_VALUES));
      81             :       } else {  /* lower blocks */
      82         120 :         if (i>n) PetscCall(MatSetValue(A,i,i-1,tau2,INSERT_VALUES));
      83         120 :         if (i<2*n-1) PetscCall(MatSetValue(A,i,i+1,tau2,INSERT_VALUES));
      84         120 :         PetscCall(MatSetValue(A,i,i,-2.0*tau2-alpha*alpha,INSERT_VALUES));
      85         240 :         PetscCall(MatSetValue(A,i,i-n,-beta,INSERT_VALUES));
      86             :       }
      87             :     }
      88           4 :     PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
      89           4 :     PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
      90             :   }
      91             : 
      92             :   /* Shift the matrix to make it stable, A-sigma*I */
      93           4 :   PetscCall(PetscOptionsGetScalar(NULL,NULL,"-shift",&sigma,NULL));
      94           4 :   PetscCall(MatShift(A,-sigma));
      95             : 
      96             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      97             :                 Create the eigensolver and set various options
      98             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
      99             : 
     100           4 :   PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
     101           4 :   PetscCall(EPSSetOperators(eps,A,NULL));
     102           4 :   PetscCall(EPSSetProblemType(eps,EPS_NHEP));
     103           4 :   PetscCall(EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL));
     104           4 :   PetscCall(EPSSetFromOptions(eps));
     105             : 
     106             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     107             :                       Solve the eigensystem
     108             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     109             : 
     110           4 :   PetscCall(EPSSolve(eps));
     111           4 :   PetscCall(EPSGetType(eps,&type));
     112           4 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
     113           4 :   PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
     114           4 :   PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
     115             : 
     116             :   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     117             :                     Display solution and clean up
     118             :      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
     119             : 
     120             :   /* show detailed info unless -terse option is given by user */
     121           4 :   PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
     122           4 :   if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
     123             :   else {
     124           0 :     PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
     125           0 :     PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
     126           0 :     PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
     127           0 :     PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
     128             :   }
     129           4 :   PetscCall(EPSDestroy(&eps));
     130           4 :   PetscCall(MatDestroy(&A));
     131           4 :   PetscCall(SlepcFinalize());
     132             :   return 0;
     133             : }
     134             : 
     135             : /*TEST
     136             : 
     137             :    testset:
     138             :       args: -eps_nev 6 -shift 0.1 -eps_type {{krylovschur lyapii}} -eps_tol 1e-7 -terse
     139             :       requires: double
     140             :       filter: grep -v method | sed -e "s/-0.09981-2.13938i, -0.09981+2.13938i/-0.09981+2.13938i, -0.09981-2.13938i/" | sed -e "s/-0.77192-2.52712i, -0.77192+2.52712i/-0.77192+2.52712i, -0.77192-2.52712i/" | sed -e "s/-1.88445-3.02666i, -1.88445+3.02666i/-1.88445+3.02666i, -1.88445-3.02666i/"
     141             :       output_file: output/ex44_1.out
     142             :       test:
     143             :          suffix: 1
     144             :       test:
     145             :          suffix: 2
     146             :          args: -eps_lyapii_ranks 8,20 -options_left no
     147             : 
     148             : TEST*/

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