Actual source code: test8.c

slepc-3.18.0 2022-10-01
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-, 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[] = "Tests multiple calls to SVDSolve changing ncv.\n\n"
 12:   "The command line options are:\n"
 13:   "  -n <n>, where <n> = matrix dimension.\n\n";

 15: #include <slepcsvd.h>

 17: /*
 18:    This example computes the singular values of an nxn Grcar matrix,
 19:    which is a nonsymmetric Toeplitz matrix:

 21:               |  1  1  1  1               |
 22:               | -1  1  1  1  1            |
 23:               |    -1  1  1  1  1         |
 24:               |       .  .  .  .  .       |
 25:           A = |          .  .  .  .  .    |
 26:               |            -1  1  1  1  1 |
 27:               |               -1  1  1  1 |
 28:               |                  -1  1  1 |
 29:               |                     -1  1 |

 31:  */

 33: int main(int argc,char **argv)
 34: {
 35:   Mat            A;
 36:   SVD            svd;
 37:   PetscInt       N=30,Istart,Iend,i,col[5],nsv,ncv;
 38:   PetscScalar    value[] = { -1, 1, 1, 1, 1 };

 41:   SlepcInitialize(&argc,&argv,(char*)0,help);
 42:   PetscOptionsGetInt(NULL,NULL,"-n",&N,NULL);
 43:   PetscPrintf(PETSC_COMM_WORLD,"\nSingular values of a Grcar matrix, n=%" PetscInt_FMT,N);
 44:   PetscPrintf(PETSC_COMM_WORLD,"\n\n");

 46:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 47:         Generate the matrix
 48:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 50:   MatCreate(PETSC_COMM_WORLD,&A);
 51:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N);
 52:   MatSetFromOptions(A);
 53:   MatSetUp(A);

 55:   MatGetOwnershipRange(A,&Istart,&Iend);
 56:   for (i=Istart;i<Iend;i++) {
 57:     col[0]=i-1; col[1]=i; col[2]=i+1; col[3]=i+2; col[4]=i+3;
 58:     if (i==0) MatSetValues(A,1,&i,4,col+1,value+1,INSERT_VALUES);
 59:     else MatSetValues(A,1,&i,PetscMin(5,N-i+1),col,value,INSERT_VALUES);
 60:   }

 62:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
 63:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);

 65:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 66:          Create the singular value solver and set the solution method
 67:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 69:   SVDCreate(PETSC_COMM_WORLD,&svd);
 70:   SVDSetOperators(svd,A,NULL);
 71:   SVDSetTolerances(svd,1e-6,1000);
 72:   SVDSetWhichSingularTriplets(svd,SVD_LARGEST);
 73:   SVDSetFromOptions(svd);

 75:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 76:                       Compute the singular values
 77:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

 79:   /* First solve */
 80:   SVDSolve(svd);
 81:   PetscPrintf(PETSC_COMM_WORLD," - - - First solve, default subspace dimension - - -\n");
 82:   SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL);

 84:   /* Second solve */
 85:   SVDGetDimensions(svd,&nsv,&ncv,NULL);
 86:   SVDSetDimensions(svd,nsv,ncv+2,PETSC_DEFAULT);
 87:   SVDSolve(svd);
 88:   PetscPrintf(PETSC_COMM_WORLD," - - - Second solve, subspace of increased size - - -\n");
 89:   SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL);

 91:   /* Free work space */
 92:   SVDDestroy(&svd);
 93:   MatDestroy(&A);
 94:   SlepcFinalize();
 95:   return 0;
 96: }

 98: /*TEST

100:    test:
101:       suffix: 1
102:       args: -svd_type {{lanczos trlanczos cross cyclic lapack randomized}} -svd_nsv 3 -svd_ncv 12
103:       requires: !single

105: TEST*/