GCC Code Coverage Report

Directory: ./
File: src/svd/tests/test8.c
Date: 2025-11-19 04:19:03
Exec Total Coverage
Lines: 36 36 100.0%
Functions: 1 1 100.0%
Branches: 116 174 66.7%
Line Branch Exec Source
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[] = "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";
14
15 #include <slepcsvd.h>
16
17 /*
18 This example computes the singular values of an nxn Grcar matrix,
19 which is a nonsymmetric Toeplitz matrix:
20
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 |
30
31 */
32
33 60 int main(int argc,char **argv)
34 {
35 60 Mat A;
36 60 SVD svd;
37 60 PetscInt N=30,Istart,Iend,i,col[5],nsv,ncv;
38 60 PetscScalar value[] = { -1, 1, 1, 1, 1 };
39
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 60 PetscFunctionBeginUser;
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 60 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 60 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&N,NULL));
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSingular values of a Grcar matrix, n=%" PetscInt_FMT,N));
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n\n"));
45
46 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
47 Generate the matrix
48 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
49
50
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 60 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 60 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 60 PetscCall(MatSetFromOptions(A));
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 60 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 1860 for (i=Istart;i<Iend;i++) {
56 1800 col[0]=i-1; col[1]=i; col[2]=i+1; col[3]=i+2; col[4]=i+3;
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 1800 if (i==0) PetscCall(MatSetValues(A,1,&i,4,col+1,value+1,INSERT_VALUES));
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 1800 else PetscCall(MatSetValues(A,1,&i,PetscMin(5,N-i+1),col,value,INSERT_VALUES));
59 }
60
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 60 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 60 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
63
64 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
65 Create the singular value solver and set the solution method
66 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
67
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 60 PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));
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 60 PetscCall(SVDSetOperators(svd,A,NULL));
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 60 PetscCall(SVDSetTolerances(svd,1e-6,1000));
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 60 PetscCall(SVDSetWhichSingularTriplets(svd,SVD_LARGEST));
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 60 PetscCall(SVDSetFromOptions(svd));
73
74 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
75 Compute the singular values
76 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
77
78 /* First solve */
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 60 PetscCall(SVDSolve(svd));
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD," - - - First solve, default subspace dimension - - -\n"));
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 60 PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
82
83 /* Second solve */
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 60 PetscCall(SVDGetDimensions(svd,&nsv,&ncv,NULL));
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 60 PetscCall(SVDSetDimensions(svd,nsv,ncv+2,PETSC_DETERMINE));
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 60 PetscCall(SVDSolve(svd));
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 60 PetscCall(PetscPrintf(PETSC_COMM_WORLD," - - - Second solve, subspace of increased size - - -\n"));
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 60 PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
89
90 /* Free work space */
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 60 PetscCall(SVDDestroy(&svd));
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 60 PetscCall(MatDestroy(&A));
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 60 PetscCall(SlepcFinalize());
94 return 0;
95 }
96
97 /*TEST
98
99 test:
100 suffix: 1
101 args: -svd_type {{lanczos trlanczos cross cyclic lapack randomized}} -svd_nsv 3 -svd_ncv 12
102 requires: !single
103
104 TEST*/
105