Date: 2021-02-01T14:41:45+00:00

Actual source code: test6.c
slepc-3.14.2 2021-02-01
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2020, 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[] = "Test DSGHIEP with compact storage.\n\n";

     13: #include <slepcds.h>

     15: int main(int argc,char **argv)
     16: {
     18:   DS             ds;
     19:   SlepcSC        sc;
     20:   PetscReal      *T,*s,re,im;
     21:   PetscScalar    *eigr,*eigi;
     22:   PetscInt       i,n=10,l=2,k=5,ld;
     23:   PetscViewer    viewer;
     24:   PetscBool      verbose;

     26:   SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
     27:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
     28:   PetscPrintf(PETSC_COMM_WORLD,"Solve a Dense System of type GHIEP with compact storage - dimension %D.\n",n);
     29:   PetscOptionsGetInt(NULL,NULL,"-l",&l,NULL);
     30:   PetscOptionsGetInt(NULL,NULL,"-k",&k,NULL);
     31:   if (l>n || k>n || l>k) SETERRQ(PETSC_COMM_WORLD,1,"Wrong value of dimensions");
     32:   PetscOptionsHasName(NULL,NULL,"-verbose",&verbose);

     34:   /* Create DS object */
     35:   DSCreate(PETSC_COMM_WORLD,&ds);
     36:   DSSetType(ds,DSGHIEP);
     37:   DSSetFromOptions(ds);
     38:   ld = n+2;  /* test leading dimension larger than n */
     39:   DSAllocate(ds,ld);
     40:   DSSetDimensions(ds,n,0,l,k);
     41:   DSSetCompact(ds,PETSC_TRUE);

     43:   /* Set up viewer */
     44:   PetscViewerASCIIGetStdout(PETSC_COMM_WORLD,&viewer);
     45:   PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_INFO_DETAIL);
     46:   DSView(ds,viewer);
     47:   PetscViewerPopFormat(viewer);
     48:   PetscViewerPushFormat(viewer,PETSC_VIEWER_ASCII_MATLAB);

     50:   /* Fill arrow-tridiagonal matrix */
     51:   DSGetArrayReal(ds,DS_MAT_T,&T);
     52:   DSGetArrayReal(ds,DS_MAT_D,&s);
     53:   for (i=0;i<n;i++) T[i] = (PetscReal)(i+1);
     54:   for (i=k;i<n-1;i++) T[i+ld] = 1.0;
     55:   for (i=l;i<k;i++) T[i+2*ld] = 1.0;
     56:   T[2*ld+l+1] = -7; T[ld+k+1] = -7;
     57:   /* Signature matrix */
     58:   for (i=0;i<n;i++) s[i] = 1.0;
     59:   s[l+1] = -1.0;
     60:   s[k+1] = -1.0;
     61:   DSRestoreArrayReal(ds,DS_MAT_T,&T);
     62:   DSRestoreArrayReal(ds,DS_MAT_D,&s);
     63:   if (l==0 && k==0) {
     64:     DSSetState(ds,DS_STATE_INTERMEDIATE);
     65:   } else {
     66:     DSSetState(ds,DS_STATE_RAW);
     67:   }
     68:   PetscPrintf(PETSC_COMM_WORLD,"Initial - - - - - - - - -\n");
     69:   DSView(ds,viewer);

     71:   /* Solve */
     72:   PetscCalloc2(n,&eigr,n,&eigi);
     73:   DSGetSlepcSC(ds,&sc);
     74:   sc->comparison    = SlepcCompareLargestMagnitude;
     75:   sc->comparisonctx = NULL;
     76:   sc->map           = NULL;
     77:   sc->mapobj        = NULL;
     78:   DSSolve(ds,eigr,eigi);
     79:   DSSort(ds,eigr,eigi,NULL,NULL,NULL);
     80:   if (verbose) {
     81:     PetscPrintf(PETSC_COMM_WORLD,"After solve - - - - - - - - -\n");
     82:     DSView(ds,viewer);
     83:   }

     85:   /* Print eigenvalues */
     86:   PetscPrintf(PETSC_COMM_WORLD,"Computed eigenvalues =\n");
     87:   for (i=0;i<n;i++) {
     88: #if defined(PETSC_USE_COMPLEX)
     89:     re = PetscRealPart(eigr[i]);
     90:     im = PetscImaginaryPart(eigr[i]);
     91: #else
     92:     re = eigr[i];
     93:     im = eigi[i];
     94: #endif
     95:     if (PetscAbs(im)<1e-10) {
     96:       PetscViewerASCIIPrintf(viewer,"  %.5f\n",(double)re);
     97:     } else {
     98:       PetscViewerASCIIPrintf(viewer,"  %.5f%+.5fi\n",(double)re,(double)im);
     99:     }
    100:   }
    101:   PetscFree2(eigr,eigi);
    102:   DSDestroy(&ds);
    103:   SlepcFinalize();
    104:   return ierr;
    105: }

    107: /*TEST

    109:    test:
    110:       suffix: 1
    111:       requires: !single
    112:       args: -ds_method {{0 1 2}}
    113:       filter: grep -v "solving the problem"

    115:    test:
    116:       suffix: 2
    117:       args: -n 5 -k 4 -l 4 -ds_method {{0 1 2}}
    118:       filter: grep -v "solving the problem"

    120: TEST*/