GCC Code Coverage Report

Directory: ./
File: src/nep/tutorials/nlevp/loaded_string.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 59 63 93.7%
Functions: 1 1 100.0%
Branches: 195 302 64.6%
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 loaded_string problem is a rational eigenvalue problem for the
19 finite element model of a loaded vibrating string.
20 */
21
22 static char help[] = "Finite element model of a loaded vibrating string.\n\n"
23 "The command line options are:\n"
24 " -n <n>, dimension of the matrices.\n"
25 " -kappa <kappa>, stiffness of elastic spring.\n"
26 " -mass <m>, mass of the attached load.\n\n";
27
28 #include <slepcnep.h>
29
30 #define NMAT 3
31
32 215 int main(int argc,char **argv)
33 {
34 215 Mat A[NMAT]; /* problem matrices */
35 215 FN f[NMAT]; /* functions to define the nonlinear operator */
36 215 NEP nep; /* nonlinear eigensolver context */
37 215 PetscInt n=100,Istart,Iend,i;
38 215 PetscReal kappa=1.0,m=1.0;
39 215 PetscScalar sigma,numer[2],denom[2];
40 215 PetscBool terse;
41
42
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 215 PetscFunctionBeginUser;
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 215 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 215 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 215 PetscCall(PetscOptionsGetReal(NULL,NULL,"-kappa",&kappa,NULL));
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 215 PetscCall(PetscOptionsGetReal(NULL,NULL,"-mass",&m,NULL));
48 215 sigma = kappa/m;
49
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 215 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"Loaded vibrating string, n=%" PetscInt_FMT " kappa=%g m=%g\n\n",n,(double)kappa,(double)m));
50
51 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
52 Build the problem matrices
53 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
54
55 /* initialize matrices */
56
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 645 PetscCall(MatCreate(PETSC_COMM_WORLD,&A[i]));
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 645 PetscCall(MatSetSizes(A[i],PETSC_DECIDE,PETSC_DECIDE,n,n));
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 645 PetscCall(MatSetFromOptions(A[i]));
60 }
61
62 /* A0 */
63
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 215 PetscCall(MatGetOwnershipRange(A[0],&Istart,&Iend));
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 15915 for (i=Istart;i<Iend;i++) {
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 15700 PetscCall(MatSetValue(A[0],i,i,(i==n-1)?1.0*n:2.0*n,INSERT_VALUES));
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 15700 if (i>0) PetscCall(MatSetValue(A[0],i,i-1,-1.0*n,INSERT_VALUES));
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 15700 if (i<n-1) PetscCall(MatSetValue(A[0],i,i+1,-1.0*n,INSERT_VALUES));
68 }
69
70 /* A1 */
71
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 215 PetscCall(MatGetOwnershipRange(A[1],&Istart,&Iend));
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 15915 for (i=Istart;i<Iend;i++) {
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 15700 PetscCall(MatSetValue(A[1],i,i,(i==n-1)?2.0/(6.0*n):4.0/(6.0*n),INSERT_VALUES));
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 15700 if (i>0) PetscCall(MatSetValue(A[1],i,i-1,1.0/(6.0*n),INSERT_VALUES));
75
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 15700 if (i<n-1) PetscCall(MatSetValue(A[1],i,i+1,1.0/(6.0*n),INSERT_VALUES));
76 }
77
78 /* A2 */
79
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 215 PetscCall(MatGetOwnershipRange(A[2],&Istart,&Iend));
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 215 if (Istart<=n-1 && n-1<Iend) PetscCall(MatSetValue(A[2],n-1,n-1,kappa,INSERT_VALUES));
81
82 /* assemble matrices */
83
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 860 for (i=0;i<NMAT;i++) PetscCall(MatAssemblyBegin(A[i],MAT_FINAL_ASSEMBLY));
84
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 860 for (i=0;i<NMAT;i++) PetscCall(MatAssemblyEnd(A[i],MAT_FINAL_ASSEMBLY));
85
86 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
87 Create the problem functions
88 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
89
90 /* f1=1 */
91
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 215 PetscCall(FNCreate(PETSC_COMM_WORLD,&f[0]));
92
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 215 PetscCall(FNSetType(f[0],FNRATIONAL));
93 215 numer[0] = 1.0;
94
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 215 PetscCall(FNRationalSetNumerator(f[0],1,numer));
95
96 /* f2=-lambda */
97
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 215 PetscCall(FNCreate(PETSC_COMM_WORLD,&f[1]));
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 215 PetscCall(FNSetType(f[1],FNRATIONAL));
99 215 numer[0] = -1.0; numer[1] = 0.0;
100
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 215 PetscCall(FNRationalSetNumerator(f[1],2,numer));
101
102 /* f3=lambda/(lambda-sigma) */
103
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 215 PetscCall(FNCreate(PETSC_COMM_WORLD,&f[2]));
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 215 PetscCall(FNSetType(f[2],FNRATIONAL));
105 215 numer[0] = 1.0; numer[1] = 0.0;
106 215 denom[0] = 1.0; denom[1] = -sigma;
107
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 215 PetscCall(FNRationalSetNumerator(f[2],2,numer));
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 215 PetscCall(FNRationalSetDenominator(f[2],2,denom));
109
110 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
111 Create the eigensolver and solve the problem
112 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
113
114
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 215 PetscCall(NEPCreate(PETSC_COMM_WORLD,&nep));
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 215 PetscCall(NEPSetSplitOperator(nep,3,A,f,SUBSET_NONZERO_PATTERN));
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 215 PetscCall(NEPSetProblemType(nep,NEP_RATIONAL));
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 215 PetscCall(NEPSetFromOptions(nep));
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 215 PetscCall(NEPSolve(nep));
119
120 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
121 Display solution and clean up
122 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
123
124 /* show detailed info unless -terse option is given by user */
125
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 215 PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
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 215 if (terse) PetscCall(NEPErrorView(nep,NEP_ERROR_RELATIVE,NULL));
127 else {
128 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
129 ✗ PetscCall(NEPConvergedReasonView(nep,PETSC_VIEWER_STDOUT_WORLD));
130 ✗ PetscCall(NEPErrorView(nep,NEP_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
131 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
132 }
133
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 215 PetscCall(NEPDestroy(&nep));
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 645 PetscCall(MatDestroy(&A[i]));
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 645 PetscCall(FNDestroy(&f[i]));
137 }
138
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 215 PetscCall(SlepcFinalize());
139 return 0;
140 }
141
142 /*TEST
143
144 test:
145 suffix: 1
146 args: -nep_type rii -nep_target 4 -terse
147 requires: !single
148 filter: sed -e "s/[+-]0\.0*i//g"
149
150 testset:
151 args: -nep_type interpol -rg_type interval -rg_interval_endpoints 5,700,-.1,.1 -nep_nev 7 -nep_target 5 -nep_interpol_interpolation_degree 12 -nep_refine simple -terse
152 requires: !single
153 output_file: output/loaded_string_2.out
154 test:
155 suffix: 2
156 args: -nep_refine_scheme {{schur explicit}}
157 test:
158 suffix: 2_mbe
159 args: -nep_refine_scheme mbe -nep_refine_ksp_type preonly -nep_refine_pc_type lu
160
161 testset:
162 nsize: 2
163 args: -nep_type interpol -rg_type interval -rg_interval_endpoints 5,700,-.1,.1 -nep_nev 7 -nep_target 5 -nep_interpol_interpolation_degree 12 -nep_refine simple -nep_refine_partitions 2 -nep_interpol_st_ksp_type bcgs -nep_interpol_st_pc_type bjacobi -terse
164 requires: !single
165 output_file: output/loaded_string_2.out
166 timeoutfactor: 2
167 test:
168 suffix: 3_explicit
169 args: -nep_refine_scheme explicit
170 test:
171 suffix: 3_mbe
172 args: -nep_refine_scheme mbe -nep_refine_ksp_type preonly -nep_refine_pc_type cholesky
173
174 test:
175 suffix: 4
176 nsize: 4
177 args: -nep_type interpol -rg_type interval -rg_interval_endpoints 5,700,-.1,.1 -nep_nev 7 -nep_target 5 -nep_interpol_interpolation_degree 10 -nep_refine simple -nep_refine_partitions 2 -nep_refine_scheme explicit -nep_interpol_st_ksp_type bcgs -nep_interpol_st_pc_type bjacobi -terse -log_exclude nep,pep,fn
178 requires: !single
179 output_file: output/loaded_string_2.out
180 timeoutfactor: 4
181
182 test:
183 suffix: 5
184 args: -nep_type nleigs -rg_type interval -rg_interval_endpoints 4,700,-.1,.1 -nep_nev 8 -nep_target 5 -terse
185 filter: sed -e "s/[+-]0\.0*i//g"
186 requires: !single
187
188 test:
189 suffix: 6
190 args: -nep_type nleigs -rg_type interval -rg_interval_endpoints 100,700 -nep_nev 5 -nep_tol 1e-9 -nep_target 140 -nep_nleigs_interpolation_degree 15 -nep_general -terse
191 requires: !complex !single
192
193 test:
194 suffix: 6_complex
195 args: -nep_type nleigs -rg_type interval -rg_interval_endpoints 100,700,-.1,.1 -nep_nev 5 -nep_tol 1e-9 -nep_target 140 -nep_nleigs_interpolation_degree 15 -nep_general -terse
196 filter: sed -e "s/[+-]0\.0*i//g"
197 requires: complex !single
198 output_file: output/loaded_string_6.out
199
200 test:
201 suffix: 7
202 args: -nep_type interpol -rg_type interval -rg_interval_endpoints 5,700 -nep_nev 5 -nep_target 100 -nep_interpol_interpolation_degree 20 -nep_ncv 20 -n 20 -nep_refine simple -nep_refine_its 1 -terse
203 requires: !complex double
204
205 test:
206 suffix: 7_complex
207 args: -nep_type interpol -rg_type interval -rg_interval_endpoints 5,700,-.1,.1 -nep_nev 5 -nep_target 100 -nep_interpol_interpolation_degree 20 -nep_ncv 20 -n 20 -nep_refine simple -nep_refine_its 1 -terse
208 requires: complex double
209 output_file: output/loaded_string_7.out
210
211 testset:
212 args: -nep_target 10 -nep_nev 3 -nep_tol 5e-10 -terse
213 requires: !single
214 output_file: output/loaded_string_8.out
215 filter: sed -e "s/[+-]0\.0*i//g"
216 test:
217 suffix: 8
218 args: -nep_type {{rii slp narnoldi}}
219 test:
220 suffix: 8_rii_thres
221 args: -nep_type rii -nep_rii_deflation_threshold 5e-10
222 test:
223 suffix: 8_slp_thres
224 args: -nep_type slp -nep_slp_deflation_threshold 5e-10
225
226 test:
227 suffix: 8_slp_two_thres
228 args: -nep_type slp -nep_slp_deflation_threshold 5e-10 -nep_two_sided
229
230 test:
231 suffix: 9
232 args: -nep_type ciss -rg_type ellipse -rg_ellipse_center 500 -rg_ellipse_radius 500 -rg_ellipse_vscale .1 -nep_ciss_moments 4 -nep_ciss_blocksize 5 -terse
233 requires: complex double
234
235 TEST*/
236