Actual source code: test35.c
slepc-3.22.1 2024-10-28
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[] = "Test interface to external package BLOPEX.\n\n"
12: "This is based on ex12.c. 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";
16: #include <slepceps.h>
18: int main(int argc,char **argv)
19: {
20: Mat A,B; /* matrices */
21: EPS eps; /* eigenproblem solver context */
22: ST st; /* spectral transformation context */
23: KSP ksp;
24: PC pc;
25: PetscInt N,n=35,m,Istart,Iend,II,i,j,bs;
26: PetscBool flag;
28: PetscFunctionBeginUser;
29: PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
31: PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
32: PetscCall(PetscOptionsGetInt(NULL,NULL,"-m",&m,&flag));
33: if (!flag) m=n;
34: N = n*m;
35: PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nGeneralized eigenproblem with BLOPEX, N=%" PetscInt_FMT " (%" PetscInt_FMT "x%" PetscInt_FMT " grid)\n\n",N,n,m));
37: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
38: Compute the matrices that define the eigensystem, Ax=kBx
39: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
41: PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
42: PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,N,N));
43: PetscCall(MatSetFromOptions(A));
45: PetscCall(MatCreate(PETSC_COMM_WORLD,&B));
46: PetscCall(MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,N,N));
47: PetscCall(MatSetFromOptions(B));
49: PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
50: for (II=Istart;II<Iend;II++) {
51: i = II/n; j = II-i*n;
52: if (i>0) PetscCall(MatSetValue(A,II,II-n,-1.0,INSERT_VALUES));
53: if (i<m-1) PetscCall(MatSetValue(A,II,II+n,-1.0,INSERT_VALUES));
54: if (j>0) PetscCall(MatSetValue(A,II,II-1,-1.0,INSERT_VALUES));
55: if (j<n-1) PetscCall(MatSetValue(A,II,II+1,-1.0,INSERT_VALUES));
56: PetscCall(MatSetValue(A,II,II,4.0,INSERT_VALUES));
57: PetscCall(MatSetValue(B,II,II,2.0,INSERT_VALUES));
58: }
59: if (Istart==0) {
60: PetscCall(MatSetValue(B,0,0,6.0,INSERT_VALUES));
61: PetscCall(MatSetValue(B,0,1,-1.0,INSERT_VALUES));
62: PetscCall(MatSetValue(B,1,0,-1.0,INSERT_VALUES));
63: PetscCall(MatSetValue(B,1,1,1.0,INSERT_VALUES));
64: }
66: PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
67: PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
68: PetscCall(MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY));
69: PetscCall(MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY));
71: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
72: Create the eigensolver and set various options
73: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
75: PetscCall(EPSCreate(PETSC_COMM_WORLD,&eps));
76: PetscCall(EPSSetOperators(eps,A,B));
77: PetscCall(EPSSetProblemType(eps,EPS_GHEP));
78: PetscCall(EPSSetType(eps,EPSBLOPEX));
80: /*
81: Set several options
82: */
83: PetscCall(EPSSetWhichEigenpairs(eps,EPS_SMALLEST_REAL));
84: PetscCall(EPSGetST(eps,&st));
85: PetscCall(STSetType(st,STPRECOND));
86: PetscCall(STGetKSP(st,&ksp));
87: PetscCall(KSPGetPC(ksp,&pc));
88: PetscCall(KSPSetType(ksp,KSPPREONLY));
89: PetscCall(PCSetType(pc,PCICC));
91: PetscCall(EPSBLOPEXSetBlockSize(eps,4));
92: PetscCall(EPSSetFromOptions(eps));
94: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
95: Compute all eigenvalues in interval and display info
96: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
98: PetscCall(EPSSolve(eps));
99: PetscCall(EPSBLOPEXGetBlockSize(eps,&bs));
100: PetscCall(PetscPrintf(PETSC_COMM_WORLD," BLOPEX: using block size %" PetscInt_FMT "\n",bs));
102: PetscCall(EPSErrorView(eps,EPS_ERROR_ABSOLUTE,NULL));
104: PetscCall(EPSDestroy(&eps));
105: PetscCall(MatDestroy(&A));
106: PetscCall(MatDestroy(&B));
107: PetscCall(SlepcFinalize());
108: return 0;
109: }
111: /*TEST
113: build:
114: requires: blopex
116: test:
117: suffix: 1
118: args: -eps_nev 8 -eps_view
119: requires: blopex
120: filter: grep -v tolerance | sed -e "s/hermitian/symmetric/"
122: TEST*/