GCC Code Coverage Report

Directory: ./
File: src/eps/tests/test18.c
Date: 2025-12-10 04:20:18
Exec Total Coverage
Lines: 44 48 91.7%
Functions: 1 1 100.0%
Branches: 149 244 61.1%
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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[] = "Symmetric-indefinite eigenproblem.\n\n"
12 "The command line options are:\n"
13 " -n <n>, where <n> = number of grid subdivisions in x dimension.\n"
14 " -m <m>, where <m> = number of grid subdivisions in y dimension.\n\n";
15
16 #include <slepceps.h>
17
18 48 int main(int argc,char **argv)
19 {
20 48 Mat A,B; /* problem matrices */
21 48 EPS eps; /* eigenproblem solver context */
22 48 PetscInt N,n=10,m,Istart,Iend,II,nev,i,j;
23 48 PetscBool flag,terse;
24
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 48 PetscFunctionBeginUser;
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 48 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 48 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 48 PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
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 48 if (!flag) m=n;
30 48 N = n*m;
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 48 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSymmetric-indefinite eigenproblem, N=%" PetscInt_FMT "\n\n",N));
32
33 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
34 Compute the matrices that define the eigensystem, Ax=kBx
35 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
36
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 48 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 48 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 48 PetscCall(MatSetFromOptions(A));
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 48 PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
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 48 PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 48 PetscCall(MatSetFromOptions(B));
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 48 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 5048 for (II=Istart;II<Iend;II++) {
47 5000 i = II/n; j = II-i*n;
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 5000 if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
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 5000 if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
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 5000 if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
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 5000 if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
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 5000 PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
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 5000 PetscCall(MatSetValue(B,II,N-II-1,1.0,INSERT_VALUES));
54 }
55
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 48 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 48 PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
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 48 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
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 48 PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
60
61 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
62 Create the eigensolver and set various options
63 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
64
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 48 PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
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 48 PetscCall(EPSSetOperators(eps,A,B));
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 48 PetscCall(EPSSetProblemType(eps,EPS_GHIEP));
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 48 PetscCall(EPSSetFromOptions(eps));
69
70 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
71 Solve the eigensystem
72 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
73
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 48 PetscCall(EPSSolve(eps));
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 48 PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
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 48 PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
77
78 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
79 Display solution and clean up
80 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
81
82 /* show detailed info unless -terse option is given by user */
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 48 PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
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 48 if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
85 else {
86 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
87 ✗ PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
88 ✗ PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
89 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
90 }
91
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 48 PetscCall(EPSDestroy(&eps));
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 48 PetscCall(MatDestroy(&A));
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 48 PetscCall(MatDestroy(&B));
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 48 PetscCall(SlepcFinalize());
96 return 0;
97 }
98
99 /*TEST
100
101 testset:
102 args: -eps_nev 4 -eps_ncv 12 -terse -st_type sinvert -eps_krylovschur_restart .3
103 requires: !single
104 output_file: output/test18_1.out
105 test:
106 suffix: 1_ks
107 test:
108 suffix: 1_ks_gnhep
109 args: -eps_gen_non_hermitian
110 requires: !__float128
111 test:
112 suffix: 2_cuda_ks
113 args: -mat_type aijcusparse
114 requires: cuda
115 test:
116 suffix: 2_cuda_ks_gnhep
117 args: -eps_gen_non_hermitian -mat_type aijcusparse
118 requires: cuda
119 test:
120 suffix: 2_hip_ks
121 args: -mat_type aijhipsparse
122 requires: hip
123 test:
124 suffix: 2_hip_ks_gnhep
125 args: -eps_gen_non_hermitian -mat_type aijhipsparse
126 requires: hip
127
128 testset:
129 args: -n 10 -m 11 -eps_target 0.2 -eps_harmonic -eps_nev 2 -terse
130 filter: sed -e "s/[+-]0\.0*i//g"
131 output_file: output/test18_2.out
132 test:
133 suffix: 2_gd
134 args: -eps_type gd -eps_ncv 8
135 requires: !single
136 test:
137 suffix: 2_jd
138 args: -eps_type jd -st_ksp_type bcgs -eps_ncv 10
139 requires: double
140
141 TEST*/
142