GCC Code Coverage Report

Directory: ./
File: src/eps/tutorials/ex49.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 76 80 95.0%
Functions: 1 1 100.0%
Branches: 262 410 63.9%
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[] = "User-defined split preconditioner when solving a generalized 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 70 int main(int argc,char **argv)
19 {
20 70 Mat A,B,A0,B0,mats[2]; /* problem matrices and sparser approximations */
21 70 EPS eps; /* eigenproblem solver context */
22 70 ST st;
23 70 PetscInt N,n=24,m,Istart,Iend,II,i,j;
24 70 PetscBool flag,terse;
25
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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(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
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 70 if (!flag) m=n;
32 70 N = n*m;
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 70 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nGHEP with split preconditioner, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));
34
35 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
36 Compute the problem matrices A and B
37 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
38
39
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 70 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 70 PetscCall(MatSetFromOptions(A));
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
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 70 PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 70 PetscCall(MatSetFromOptions(B));
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 70 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 34630 for (II=Istart;II<Iend;II++) {
49 34560 i = II/n; j = II-i*n;
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 34560 if (i>0) PetscCall(MatSetValue(A,II,II-n,-0.2,INSERT_VALUES));
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 34560 if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-0.2,INSERT_VALUES));
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 34560 if (j>0) PetscCall(MatSetValue(A,II,II-1,-3.0,INSERT_VALUES));
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 34560 if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-3.0,INSERT_VALUES));
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 34560 PetscCall(MatSetValue(A,II,II,7.0,INSERT_VALUES));
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 34560 PetscCall(MatSetValue(B,II,II,2.0,INSERT_VALUES));
56 }
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 70 if (Istart==0) {
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 60 PetscCall(MatSetValue(B,0,0,6.0,INSERT_VALUES));
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 60 PetscCall(MatSetValue(B,0,1,-1.0,INSERT_VALUES));
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 60 PetscCall(MatSetValue(B,1,0,-1.0,INSERT_VALUES));
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 60 PetscCall(MatSetValue(B,1,1,1.0,INSERT_VALUES));
62 }
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 70 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
67
68 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
69 Compute sparser approximations A0 and B0
70 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
71
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&A0));
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 70 PetscCall(MatSetSizes(A0,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 70 PetscCall(MatSetFromOptions(A0));
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 70 PetscCall(MatCreate(PETSC_COMM_WORLD,&B0));
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 70 PetscCall(MatSetSizes(B0,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 70 PetscCall(MatSetFromOptions(B0));
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 70 PetscCall(MatGetOwnershipRange(A0,&Istart,&Iend));
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 34630 for (II=Istart;II<Iend;II++) {
82 34560 i = II/n; j = II-i*n;
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 34560 if (j>0) PetscCall(MatSetValue(A0,II,II-1,-3.0,INSERT_VALUES));
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 34560 if (j<n-1) PetscCall(MatSetValue(A0,II,II+1,-3.0,INSERT_VALUES));
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 34560 PetscCall(MatSetValue(A0,II,II,7.0,INSERT_VALUES));
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 34560 PetscCall(MatSetValue(B0,II,II,2.0,INSERT_VALUES));
87 }
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 70 if (Istart==0) {
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 60 PetscCall(MatSetValue(B0,0,0,6.0,INSERT_VALUES));
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 60 PetscCall(MatSetValue(B0,1,1,1.0,INSERT_VALUES));
91 }
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 70 PetscCall(MatAssemblyBegin(A0,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(A0,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyBegin(B0,MAT_FINAL_ASSEMBLY));
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 70 PetscCall(MatAssemblyEnd(B0,MAT_FINAL_ASSEMBLY));
96
97 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
98 Create the eigensolver and set various options
99 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
100
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 70 PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
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 70 PetscCall(EPSSetOperators(eps,A,B));
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 70 PetscCall(EPSSetProblemType(eps,EPS_GHEP));
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 70 PetscCall(EPSGetST(eps,&st));
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 70 PetscCall(STSetType(st,STSINVERT));
106 70 mats[0] = A0; mats[1] = B0;
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 70 PetscCall(STSetSplitPreconditioner(st,2,mats,SUBSET_NONZERO_PATTERN));
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 70 PetscCall(EPSSetTarget(eps,0.0));
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 70 PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE));
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 70 PetscCall(EPSSetFromOptions(eps));
111
112 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
113 Solve the eigensystem and display solution
114 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
115
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 70 PetscCall(EPSSolve(eps));
117
118 /* 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(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
121 else {
122 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
123 ✗ PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
124 ✗ PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
125 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
126 }
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 70 PetscCall(EPSDestroy(&eps));
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 70 PetscCall(MatDestroy(&A));
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 70 PetscCall(MatDestroy(&B));
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 70 PetscCall(MatDestroy(&A0));
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 70 PetscCall(MatDestroy(&B0));
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 70 PetscCall(SlepcFinalize());
133 return 0;
134 }
135
136 /*TEST
137
138 testset:
139 args: -eps_nev 4 -terse
140 output_file: output/ex49_1.out
141 requires: !single
142 test:
143 suffix: 1
144 test:
145 suffix: 1_jd
146 args: -eps_type jd -st_type precond
147 test:
148 suffix: 1_lobpcg
149 args: -eps_type lobpcg -st_type precond -eps_smallest_real -st_shift 0.2
150
151 testset:
152 args: -eps_type ciss -eps_all -rg_type ellipse -rg_ellipse_center 0 -rg_ellipse_radius 0.34 -rg_ellipse_vscale .2 -st_ksp_type gmres -terse
153 output_file: output/ex49_2.out
154 test:
155 suffix: 2
156 test:
157 suffix: 2_nost
158 args: -eps_ciss_usest 0
159 requires: !single
160 test:
161 suffix: 2_par
162 nsize: 2
163 args: -eps_ciss_partitions 2
164 requires: !single
165
166 TEST*/
167