Actual source code: test3.c

slepc-3.11.2 2019-07-30
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-2019, 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 DSHEP 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;
 21:   PetscScalar    *eig;
 22:   PetscInt       i,n=10,l=2,k=5,ld;
 23:   PetscViewer    viewer;
 24:   PetscBool      verbose,extrarow;

 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 HEP 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);
 33:   PetscOptionsHasName(NULL,NULL,"-extrarow",&extrarow);

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

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

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

 66:   /* Solve */
 67:   PetscMalloc1(n,&eig);
 68:   DSGetSlepcSC(ds,&sc);
 69:   sc->comparison    = SlepcCompareLargestMagnitude;
 70:   sc->comparisonctx = NULL;
 71:   sc->map           = NULL;
 72:   sc->mapobj        = NULL;
 73:   DSSolve(ds,eig,NULL);
 74:   DSSort(ds,eig,NULL,NULL,NULL,NULL);
 75:   if (extrarow) { DSUpdateExtraRow(ds); }
 76:   if (verbose) {
 77:     PetscPrintf(PETSC_COMM_WORLD,"After solve - - - - - - - - -\n");
 78:     DSView(ds,viewer);
 79:   }

 81:   /* Print eigenvalues */
 82:   PetscPrintf(PETSC_COMM_WORLD,"Computed eigenvalues =\n");
 83:   for (i=0;i<n;i++) {
 84:     PetscViewerASCIIPrintf(viewer,"  %.5f\n",(double)PetscRealPart(eig[i]));
 85:   }

 87:   PetscFree(eig);
 88:   DSDestroy(&ds);
 89:   SlepcFinalize();
 90:   return ierr;
 91: }

 93: /*TEST

 95:    test:
 96:       suffix: 1
 97:       requires: !single
 98:       args: -n 9 -ds_method {{0 1 2}}
 99:       filter: grep -v "solving the problem"

101: TEST*/