Actual source code: test2.c
slepc-3.18.2 2023-01-26
1: /*
2: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3: SLEPc - Scalable Library for Eigenvalue Problem Computations
4: Copyright (c) 2002-, 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;
23: EPSLanczosReorthogType reorth;
26: SlepcInitialize(&argc,&argv,(char*)0,help);
28: PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
29: PetscPrintf(PETSC_COMM_WORLD,"\n1-D Laplacian Eigenproblem, n=%" PetscInt_FMT "\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) PetscObjectTypeCompare((PetscObject)eps,EPSARNOLDI,&flg);
93: if (flg) EPSSetExtraction(eps,EPS_HARMONIC);
94: }
95: EPSSolve(eps);
96: PetscPrintf(PETSC_COMM_WORLD," - - - Interior eigenvalues - - -\n");
97: EPSErrorView(eps,EPS_ERROR_RELATIVE,NULL);
99: EPSDestroy(&eps);
100: MatDestroy(&A);
101: SlepcFinalize();
102: return 0;
103: }
105: /*TEST
107: testset:
108: args: -eps_nev 4
109: requires: !single
110: output_file: output/test2_1.out
111: test:
112: suffix: 1
113: args: -eps_type {{arnoldi gd jd lapack}}
114: test:
115: suffix: 1_gd2
116: args: -eps_type gd -eps_gd_double_expansion
117: timeoutfactor: 2
118: test:
119: suffix: 1_krylovschur
120: args: -eps_type krylovschur -eps_krylovschur_locking {{0 1}}
121: test:
122: suffix: 1_scalapack
123: requires: scalapack
124: args: -eps_type scalapack
125: test:
126: suffix: 1_elpa
127: requires: elpa
128: args: -eps_type elpa
129: test:
130: suffix: 1_elemental
131: requires: elemental
132: args: -eps_type elemental
134: testset:
135: args: -eps_type lanczos -eps_nev 4
136: requires: !single
137: filter: grep -v "Lanczos"
138: output_file: output/test2_1.out
139: test:
140: suffix: 2
141: args: -eps_lanczos_reorthog {{local full periodic partial}}
142: test:
143: suffix: 2_selective
144: args: -eps_lanczos_reorthog selective
145: requires: !defined(PETSCTEST_VALGRIND)
147: testset:
148: args: -n 32 -eps_nev 4
149: requires: !single
150: output_file: output/test2_3.out
151: test:
152: nsize: 2
153: suffix: 3
154: args: -eps_type {{krylovschur lapack}}
155: test:
156: nsize: 2
157: suffix: 3_gd
158: args: -eps_type gd -eps_gd_krylov_start
159: timeoutfactor: 2
160: test:
161: suffix: 3_jd
162: args: -eps_type jd -eps_jd_krylov_start -eps_ncv 18
164: testset:
165: args: -eps_nev 4 -mat_type aijcusparse
166: requires: cuda !single
167: output_file: output/test2_1.out
168: test:
169: suffix: 4_cuda
170: args: -eps_type {{krylovschur arnoldi gd jd}}
172: TEST*/