GCC Code Coverage Report

Directory: ./
File: src/eps/tests/test27.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 52 60 86.7%
Functions: 1 1 100.0%
Branches: 177 312 56.7%
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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[] = "Illustrates feeding exact eigenvectors as initial vectors of a second solve.\n\n"
12 "Based on ex2.\n"
13 "The command line options are:\n"
14 " -n <n>, where <n> = number of grid subdivisions in x dimension.\n"
15 " -m <m>, where <m> = number of grid subdivisions in y dimension.\n\n";
16
17 #include <slepceps.h>
18
19 69 int main(int argc,char **argv)
20 {
21 69 Mat A;
22 69 EPS eps;
23 69 PetscInt N,n=10,m,Istart,Iend,II,nev,nconv,i,j,neigs=5;
24 69 PetscBool flag,terse;
25 69 Vec v,*X;
26
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 69 PetscFunctionBeginUser;
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 69 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 69 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 69 PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
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 69 if (!flag) m=n;
32 69 N = n*m;
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 69 PetscCall(PetscOptionsGetInt(NULL,NULL,"-neigs",&neigs,NULL));
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 69 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\n2-D Laplacian Eigenproblem, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid), neigs=%" PetscInt_FMT "\n\n",N,n,m,neigs));
35
36 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
37 Create the 2-D Laplacian
38 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
39
40
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 69 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 69 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 69 PetscCall(MatSetFromOptions(A));
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 69 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 6669 for (II=Istart;II<Iend;II++) {
45 6600 i = II/n; j = II-i*n;
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 6600 if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
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 6600 if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
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 6600 if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
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 6600 if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
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 6600 PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
51 }
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 69 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 69 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
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 69 PetscCall(MatCreateVecs(A,&v,NULL));
55
56 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
57 Create the eigensolver and set various options
58 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
59
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 69 PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
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 69 PetscCall(EPSSetOperators(eps,A,NULL));
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 69 PetscCall(EPSSetProblemType(eps,EPS_HEP));
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 69 PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL));
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 69 PetscCall(EPSSetDimensions(eps,neigs,PETSC_DETERMINE,PETSC_DETERMINE));
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 69 PetscCall(EPSSetFromOptions(eps));
66
67 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
68 Solve the eigensystem for the first time
69 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
70
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 69 PetscCall(EPSSolve(eps));
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 69 PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
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 69 PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested eigenvalues: %" PetscInt_FMT "\n",nev));
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 69 PetscCall(EPSGetConverged(eps,&nconv));
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 69 PetscCheck(nconv>=neigs,PETSC_COMM_WORLD,PETSC_ERR_CONV_FAILED,"Only %" PetscInt_FMT " eigenvalues have converged, %" PetscInt_FMT " requested",nconv,neigs);
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 69 PetscCall(VecDuplicateVecs(v,neigs,&X));
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 414 for (i=0;i<neigs;i++) PetscCall(EPSGetEigenvector(eps,i,X[i],NULL));
79
80 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
81 Display solution of first solve
82 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
83
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 69 PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
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 69 if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
86 else {
87 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
88 ✗ PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
89 ✗ PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
90 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
91 }
92
93 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
94 Solve the eigensystem again, feeding the initial vectors
95 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
96
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 69 PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solving again with eigenvectors as initial guesses\n"));
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 69 PetscCall(EPSSetInitialSpace(eps,neigs,X));
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 69 PetscCall(EPSSolve(eps));
100
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 69 if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
102 else {
103 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
104 ✗ PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
105 ✗ PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
106 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
107 }
108
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 69 PetscCall(VecDestroy(&v));
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 69 PetscCall(VecDestroyVecs(neigs,&X));
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 69 PetscCall(EPSDestroy(&eps));
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 69 PetscCall(MatDestroy(&A));
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 69 PetscCall(SlepcFinalize());
114 return 0;
115 }
116
117 /*TEST
118
119 test:
120 suffix: 1
121 args: -eps_type {{gd jd rqcg lobpcg}} -terse
122
123 testset:
124 args: -eps_interval .17,1.3 -terse
125 filter: grep -v "requested"
126 output_file: output/test27_2.out
127 test:
128 suffix: 2
129 args: -st_type filter -st_filter_degree 150 -st_filter_type {{filtlan chebyshev}} -eps_ncv 30
130 requires: !single
131 test:
132 suffix: 2_evsl
133 nsize: {{1 2}}
134 args: -eps_type evsl
135 requires: evsl
136
137 TEST*/
138