GCC Code Coverage Report

Directory: ./
File: src/eps/tutorials/ex46.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 53 57 93.0%
Functions: 1 1 100.0%
Branches: 178 286 62.2%
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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 passing a sparser matrix to build the preconditioner.\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 20 int main(int argc,char **argv)
19 {
20 20 Mat A,A0; /* operator matrix */
21 20 EPS eps; /* eigenproblem solver context */
22 20 ST st;
23 20 PetscInt N,n=24,m,Istart,Iend,II,i,j;
24 20 PetscBool flag,terse;
25
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 20 PetscFunctionBeginUser;
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 20 PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
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 20 PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
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 20 PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
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 20 if (!flag) m=n;
32 20 N = n*m;
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 20 PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nModified 2-D Laplacian Eigenproblem, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));
34
35 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
36 Compute the operator matrix A and a sparser approximation A0
37 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
38
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 20 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 20 PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 20 PetscCall(MatSetFromOptions(A));
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 20 PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
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 11540 for (II=Istart;II<Iend;II++) {
44 11520 i = II/n; j = II-i*n;
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 11520 if (i>0) PetscCall(MatSetValue(A,II,II-n,-0.2,INSERT_VALUES));
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 11520 if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-0.2,INSERT_VALUES));
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 11520 if (j>0) PetscCall(MatSetValue(A,II,II-1,-3.0,INSERT_VALUES));
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 11520 if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-3.0,INSERT_VALUES));
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 11520 PetscCall(MatSetValue(A,II,II,7.0,INSERT_VALUES));
50 }
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 20 PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
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 20 PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
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 20 PetscCall(MatCreate(PETSC_COMM_WORLD,&A0));
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 20 PetscCall(MatSetSizes(A0,PETSC_DECIDE,PETSC_DECIDE,N,N));
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 20 PetscCall(MatSetFromOptions(A0));
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 20 PetscCall(MatGetOwnershipRange(A0,&Istart,&Iend));
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 11540 for (II=Istart;II<Iend;II++) {
59 11520 i = II/n; j = II-i*n;
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 11520 if (j>0) PetscCall(MatSetValue(A0,II,II-1,-3.0,INSERT_VALUES));
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 11520 if (j<n-1) PetscCall(MatSetValue(A0,II,II+1,-3.0,INSERT_VALUES));
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 11520 PetscCall(MatSetValue(A0,II,II,7.0,INSERT_VALUES));
63 }
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 20 PetscCall(MatAssemblyBegin(A0,MAT_FINAL_ASSEMBLY));
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 20 PetscCall(MatAssemblyEnd(A0,MAT_FINAL_ASSEMBLY));
66
67 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
68 Create the eigensolver and set various options
69 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
70
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 20 PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
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 20 PetscCall(EPSSetOperators(eps,A,NULL));
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 20 PetscCall(EPSSetProblemType(eps,EPS_HEP));
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 20 PetscCall(EPSGetST(eps,&st));
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 20 PetscCall(STSetType(st,STSINVERT));
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 20 PetscCall(STSetPreconditionerMat(st,A0));
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 20 PetscCall(EPSSetTarget(eps,0.0));
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 20 PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE));
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 20 PetscCall(EPSSetFromOptions(eps));
80
81 /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
82 Solve the eigensystem and display solution
83 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
84
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 20 PetscCall(EPSSolve(eps));
86
87 /* show detailed info unless -terse option is given by user */
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 20 PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
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 20 if (terse) PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL));
90 else {
91 ✗ PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
92 ✗ PetscCall(EPSConvergedReasonView(eps,PETSC_VIEWER_STDOUT_WORLD));
93 ✗ PetscCall(EPSErrorView(eps,EPS_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
94 ✗ PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
95 }
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 20 PetscCall(EPSDestroy(&eps));
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 20 PetscCall(MatDestroy(&A));
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 20 PetscCall(MatDestroy(&A0));
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 20 PetscCall(SlepcFinalize());
100 return 0;
101 }
102
103 /*TEST
104
105 testset:
106 args: -eps_nev 4 -terse
107 output_file: output/ex46_1.out
108 requires: !single
109 test:
110 suffix: 1
111 test:
112 suffix: 2
113 args: -st_ksp_type bcgs -st_pc_type bjacobi
114
115 TEST*/
116