Actual source code: test2.c
slepc-3.13.4 2020-09-02
1: /*
2: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3: SLEPc - Scalable Library for Eigenvalue Problem Computations
4: Copyright (c) 2002-2020, Universitat Politecnica de Valencia, Spain
6: This file is part of SLEPc.
7: SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9: */
11: static char help[] = "Tests multiple calls to EPSSolve with the same matrix.\n\n";
13: #include <slepceps.h>
15: int main(int argc,char **argv)
16: {
17: Mat A; /* problem matrix */
18: EPS eps; /* eigenproblem solver context */
19: ST st;
20: PetscReal tol=PetscMax(1000*PETSC_MACHINE_EPSILON,1e-9);
21: PetscInt n=30,i,Istart,Iend;
22: PetscBool flg;
24: EPSLanczosReorthogType reorth;
26: SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
28: PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
29: PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem, n=%D\n\n",n);
31: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
32: Compute the operator matrix that defines the eigensystem, Ax=kx
33: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
35: MatCreate(PETSC_COMM_WORLD,&A);
36: MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);
37: MatSetFromOptions(A);
38: MatSetUp(A);
40: MatGetOwnershipRange(A,&Istart,&Iend);
41: for (i=Istart;i<Iend;i++) {
42: if (i>0) { MatSetValue(A,i,i-1,-1.0,INSERT_VALUES); }
43: if (i<n-1) { MatSetValue(A,i,i+1,-1.0,INSERT_VALUES); }
44: MatSetValue(A,i,i,2.0,INSERT_VALUES);
45: }
46: MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
47: MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);
49: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
50: Create the eigensolver
51: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
52: EPSCreate(PETSC_COMM_WORLD,&eps);
53: EPSSetOperators(eps,A,NULL);
54: EPSSetProblemType(eps,EPS_HEP);
55: EPSSetTolerances(eps,tol,PETSC_DEFAULT);
56: EPSSetFromOptions(eps);
58: /* illustrate how to extract parameters from specific solver types */
59: PetscObjectTypeCompare((PetscObject)eps,EPSLANCZOS,&flg);
60: if (flg) {
61: EPSLanczosGetReorthog(eps,&reorth);
62: PetscPrintf(PETSC_COMM_WORLD,"Reorthogonalization type used in Lanczos: %s\n",EPSLanczosReorthogTypes[reorth]);
63: }
65: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
66: Solve for largest eigenvalues
67: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
68: EPSSetWhichEigenpairs(eps,EPS_LARGEST_REAL);
69: EPSSolve(eps);
70: PetscPrintf(PETSC_COMM_WORLD," - - - Largest eigenvalues - - -\n");
71: EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
73: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
74: Solve for smallest eigenvalues
75: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
76: EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL);
77: EPSSolve(eps);
78: PetscPrintf(PETSC_COMM_WORLD," - - - Smallest eigenvalues - - -\n");
79: EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
81: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
82: Solve for interior eigenvalues (target=2.1)
83: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
84: EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE);
85: EPSSetTarget(eps,2.1);
86: PetscObjectTypeCompare((PetscObject)eps,EPSLANCZOS,&flg);
87: if (flg) {
88: EPSGetST(eps,&st);
89: STSetType(st,STSINVERT);
90: } else {
91: PetscObjectTypeCompare((PetscObject)eps,EPSKRYLOVSCHUR,&flg);
92: if (!flg) {
93: PetscObjectTypeCompare((PetscObject)eps,EPSARNOLDI,&flg);
94: }
95: if (flg) {
96: EPSSetExtraction(eps,EPS_HARMONIC);
97: }
98: }
99: EPSSolve(eps);
100: PetscPrintf(PETSC_COMM_WORLD," - - - Interior eigenvalues - - -\n");
101: EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
103: EPSDestroy(&eps);
104: MatDestroy(&A);
105: SlepcFinalize();
106: return ierr;
107: }
109: /*TEST
111: testset:
112: args: -eps_nev 4
113: requires: !single
114: output_file: output/test2_1.out
115: test:
116: suffix: 1
117: args: -eps_type {{arnoldi gd jd lapack}}
118: test:
119: suffix: 1_gd2
120: args: -eps_type gd -eps_gd_double_expansion
121: timeoutfactor: 2
122: test:
123: suffix: 1_krylovschur
124: args: -eps_type krylovschur -eps_krylovschur_locking {{0 1}}
126: testset:
127: args: -eps_type lanczos -eps_nev 4
128: requires: !single
129: filter: grep -v "Lanczos"
130: output_file: output/test2_1.out
131: test:
132: suffix: 2
133: args: -eps_lanczos_reorthog {{local full selective periodic partial}}
135: testset:
136: args: -n 32 -eps_nev 4
137: requires: !single
138: output_file: output/test2_3.out
139: test:
140: nsize: 2
141: suffix: 3
142: args: -eps_type {{krylovschur lapack}}
143: test:
144: nsize: 2
145: suffix: 3_gd
146: args: -eps_type gd -eps_gd_krylov_start
147: timeoutfactor: 2
148: test:
149: suffix: 3_jd
150: args: -eps_type jd -eps_jd_krylov_start -eps_ncv 18
152: testset:
153: args: -eps_nev 4 -mat_type aijcusparse
154: requires: cuda !single
155: output_file: output/test2_1.out
156: test:
157: suffix: 4_cuda
158: args: -eps_type {{krylovschur arnoldi gd jd}}
160: TEST*/