GCC Code Coverage Report

Directory: ./
File: src/pep/tutorials/nlevp/sleeper.c
Date: 2025-11-19 04:19:03
Exec Total Coverage
Lines: 68 72 94.4%
Functions: 1 1 100.0%
Branches: 260 396 65.7%
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 This example implements one of the problems found at
12 NLEVP: A Collection of Nonlinear Eigenvalue Problems,
13 The University of Manchester.
14 The details of the collection can be found at:
15 [1] T. Betcke et al., "NLEVP: A Collection of Nonlinear Eigenvalue
16 Problems", ACM Trans. Math. Software 39(2), Article 7, 2013.
17
18 The sleeper problem is a proportionally damped QEP describing the
19 oscillations of a rail track resting on sleepers.
20 */
21
22 static char help[] = "Oscillations of a rail track resting on sleepers.\n\n"
23 "The command line options are:\n"
24 " -n <n>, where <n> = dimension of the matrices.\n\n";
25
26 #include <slepcpep.h>
27
28 70 int main(int argc,char **argv)
29 {
30 70 Mat M,C,K,A[3]; /* problem matrices */
31 70 PEP pep; /* polynomial eigenproblem solver context */
32 70 PetscInt n=10,Istart,Iend,i;
33 70 PetscBool terse;
34
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 70 PetscFunctionBeginUser;
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 70 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 70 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 70 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nRailtrack resting on sleepers, n=%" PetscInt_FMT "\n\n",n));
40
41 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
42 Compute the matrices that define the eigensystem, (k^2*M+k*C+K)x=0
43 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
44
45 /* K is a pentadiagonal */
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&K));
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 70 PetscCall(MatSetSizes(K,PETSC_DECIDE,PETSC_DECIDE,n,n));
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 70 PetscCall(MatSetFromOptions(K));
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 70 PetscCall(MatGetOwnershipRange(K,&Istart,&Iend));
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 9000 for (i=Istart;i<Iend;i++) {
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 8930 if (i==0) {
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 70 PetscCall(MatSetValue(K,i,n-1,-3.0,INSERT_VALUES));
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 70 PetscCall(MatSetValue(K,i,n-2,1.0,INSERT_VALUES));
55 }
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 8930 if (i==1) PetscCall(MatSetValue(K,i,n-1,1.0,INSERT_VALUES));
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 8930 if (i>0) PetscCall(MatSetValue(K,i,i-1,-3.0,INSERT_VALUES));
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 8874 if (i>1) PetscCall(MatSetValue(K,i,i-2,1.0,INSERT_VALUES));
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 8930 PetscCall(MatSetValue(K,i,i,5.0,INSERT_VALUES));
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 8930 if (i==n-1) {
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 70 PetscCall(MatSetValue(K,i,0,-3.0,INSERT_VALUES));
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 70 PetscCall(MatSetValue(K,i,1,1.0,INSERT_VALUES));
63 }
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 8930 if (i==n-2) PetscCall(MatSetValue(K,i,0,1.0,INSERT_VALUES));
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 8930 if (i<n-1) PetscCall(MatSetValue(K,i,i+1,-3.0,INSERT_VALUES));
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 8930 if (i<n-2) PetscCall(MatSetValue(K,i,i+2,1.0,INSERT_VALUES));
67 }
68
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 70 PetscCall(MatAssemblyBegin(K,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(K,MAT_FINAL_ASSEMBLY));
71
72 /* C is a circulant matrix */
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&C));
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 70 PetscCall(MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,n,n));
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 70 PetscCall(MatSetFromOptions(C));
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 70 PetscCall(MatGetOwnershipRange(C,&Istart,&Iend));
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 70 PetscCall(MatSetValue(C,i,n-1,-4.0,INSERT_VALUES));
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 70 PetscCall(MatSetValue(C,i,n-2,1.0,INSERT_VALUES));
82 }
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 8930 if (i==1) PetscCall(MatSetValue(C,i,n-1,1.0,INSERT_VALUES));
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 8930 if (i>0) PetscCall(MatSetValue(C,i,i-1,-4.0,INSERT_VALUES));
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 8874 if (i>1) PetscCall(MatSetValue(C,i,i-2,1.0,INSERT_VALUES));
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 8930 PetscCall(MatSetValue(C,i,i,7.0,INSERT_VALUES));
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 8930 if (i==n-1) {
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 70 PetscCall(MatSetValue(C,i,0,-4.0,INSERT_VALUES));
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 70 PetscCall(MatSetValue(C,i,1,1.0,INSERT_VALUES));
90 }
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 8930 if (i==n-2) PetscCall(MatSetValue(C,i,0,1.0,INSERT_VALUES));
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 8930 if (i<n-1) PetscCall(MatSetValue(C,i,i+1,-4.0,INSERT_VALUES));
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 8930 if (i<n-2) PetscCall(MatSetValue(C,i,i+2,1.0,INSERT_VALUES));
94 }
95
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 70 PetscCall(MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY));
98
99 /* M is the identity matrix */
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&M));
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 70 PetscCall(MatSetSizes(M,PETSC_DECIDE,PETSC_DECIDE,n,n));
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 70 PetscCall(MatSetFromOptions(M));
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 70 PetscCall(MatGetOwnershipRange(M,&Istart,&Iend));
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 9000 for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(M,i,i,1.0,INSERT_VALUES));
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 70 PetscCall(MatAssemblyBegin(M,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(M,MAT_FINAL_ASSEMBLY));
107
108 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
109 Create the eigensolver and solve the problem
110 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
111
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 70 PetscCall(PEPCreate(PETSC_COMM_WORLD,&pep));
113 70 A[0] = K; A[1] = C; A[2] = M;
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 70 PetscCall(PEPSetOperators(pep,3,A));
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 70 PetscCall(PEPSetFromOptions(pep));
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 70 PetscCall(PEPSolve(pep));
117
118 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
119 Display solution and clean up
120 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
121
122 /* show detailed info unless -terse option is given by user */
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 70 PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
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 70 if (terse) PetscCall(PEPErrorView(pep,PEP_ERROR_BACKWARD,NULL));
125 else {
126 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
127 ✗ PetscCall(PEPConvergedReasonView(pep,PETSC_VIEWER_STDOUT_WORLD));
128 ✗ PetscCall(PEPErrorView(pep,PEP_ERROR_BACKWARD,PETSC_VIEWER_STDOUT_WORLD));
129 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
130 }
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 70 PetscCall(PEPDestroy(&pep));
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 70 PetscCall(MatDestroy(&M));
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 70 PetscCall(MatDestroy(&C));
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 70 PetscCall(MatDestroy(&K));
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 70 PetscCall(SlepcFinalize());
136 return 0;
137 }
138
139 /*TEST
140
141 testset:
142 args: -n 100 -pep_nev 4 -pep_ncv 24 -st_type sinvert -terse
143 output_file: output/sleeper_1.out
144 requires: !single
145 filter: sed -e "s/[+-]0\.0*i//g"
146 test:
147 suffix: 1
148 args: -pep_type {{toar linear}} -pep_ncv 20
149 test:
150 suffix: 1_qarnoldi
151 args: -pep_type qarnoldi -pep_qarnoldi_restart 0.4
152
153 testset:
154 args: -n 24 -pep_nev 4 -pep_ncv 9 -pep_target -.62 -terse
155 output_file: output/sleeper_2.out
156 test:
157 suffix: 2_toar
158 args: -pep_type toar -pep_toar_restart .3 -st_type sinvert
159 test:
160 suffix: 2_jd
161 args: -pep_type jd -pep_jd_restart .3 -pep_jd_projection orthogonal
162
163 test:
164 suffix: 3
165 args: -n 275 -pep_type stoar -pep_hermitian -st_type sinvert -pep_nev 2 -pep_target -.89 -terse
166 requires: !single
167
168 test:
169 suffix: 4
170 args: -n 270 -pep_type stoar -pep_hermitian -pep_interval -3,-2.51 -st_type sinvert -st_pc_type cholesky -terse
171 requires: !single
172
173 TEST*/
174