Actual source code: test5.c
slepc-3.15.1 2021-05-28
1: /*
2: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3: SLEPc - Scalable Library for Eigenvalue Problem Computations
4: Copyright (c) 2002-2021, 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 PEP view and monitor functionality.\n\n";
13: #include <slepcpep.h>
15: int main(int argc,char **argv)
16: {
17: Mat A[3];
18: PEP pep;
19: Vec xr,xi;
20: PetscScalar kr,ki;
21: PetscComplex *eigs,eval;
22: PetscInt n=6,Istart,Iend,i,nconv,its;
23: PetscReal errest;
24: PetscBool checkfile;
25: char filename[PETSC_MAX_PATH_LEN];
26: PetscViewer viewer;
29: SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
30: PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
31: PetscPrintf(PETSC_COMM_WORLD,"\nPEP of diagonal problem, n=%D\n\n",n);
33: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
34: Generate the matrices
35: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
36: MatCreate(PETSC_COMM_WORLD,&A[0]);
37: MatSetSizes(A[0],PETSC_DECIDE,PETSC_DECIDE,n,n);
38: MatSetFromOptions(A[0]);
39: MatSetUp(A[0]);
40: MatGetOwnershipRange(A[0],&Istart,&Iend);
41: for (i=Istart;i<Iend;i++) {
42: MatSetValue(A[0],i,i,i+1,INSERT_VALUES);
43: }
44: MatAssemblyBegin(A[0],MAT_FINAL_ASSEMBLY);
45: MatAssemblyEnd(A[0],MAT_FINAL_ASSEMBLY);
47: MatCreate(PETSC_COMM_WORLD,&A[1]);
48: MatSetSizes(A[1],PETSC_DECIDE,PETSC_DECIDE,n,n);
49: MatSetFromOptions(A[1]);
50: MatSetUp(A[1]);
51: for (i=Istart;i<Iend;i++) {
52: MatSetValue(A[1],i,i,-1.5,INSERT_VALUES);
53: }
54: MatAssemblyBegin(A[1],MAT_FINAL_ASSEMBLY);
55: MatAssemblyEnd(A[1],MAT_FINAL_ASSEMBLY);
57: MatCreate(PETSC_COMM_WORLD,&A[2]);
58: MatSetSizes(A[2],PETSC_DECIDE,PETSC_DECIDE,n,n);
59: MatSetFromOptions(A[2]);
60: MatSetUp(A[2]);
61: for (i=Istart;i<Iend;i++) {
62: MatSetValue(A[2],i,i,-1.0/(i+1),INSERT_VALUES);
63: }
64: MatAssemblyBegin(A[2],MAT_FINAL_ASSEMBLY);
65: MatAssemblyEnd(A[2],MAT_FINAL_ASSEMBLY);
67: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
68: Create the PEP solver
69: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
70: PEPCreate(PETSC_COMM_WORLD,&pep);
71: PetscObjectSetName((PetscObject)pep,"pep");
72: PEPSetOperators(pep,3,A);
73: PEPSetFromOptions(pep);
75: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
76: Solve the eigensystem and display solution
77: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
78: PEPSolve(pep);
79: PEPGetConverged(pep,&nconv);
80: PEPGetIterationNumber(pep,&its);
81: PetscPrintf(PETSC_COMM_WORLD," %D converged eigenpairs after %D iterations\n",nconv,its);
82: if (nconv>0) {
83: MatCreateVecs(A[0],&xr,&xi);
84: PEPGetEigenpair(pep,0,&kr,&ki,xr,xi);
85: VecDestroy(&xr);
86: VecDestroy(&xi);
87: PEPGetErrorEstimate(pep,0,&errest);
88: }
89: PEPErrorView(pep,PEP_ERROR_RELATIVE,NULL);
91: /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
92: Check file containing the eigenvalues
93: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
94: PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile);
95: if (checkfile) {
96: PetscMalloc1(nconv,&eigs);
97: PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer);
98: PetscViewerBinaryRead(viewer,eigs,nconv,NULL,PETSC_COMPLEX);
99: PetscViewerDestroy(&viewer);
100: for (i=0;i<nconv;i++) {
101: PEPGetEigenpair(pep,i,&kr,&ki,NULL,NULL);
102: #if defined(PETSC_USE_COMPLEX)
103: eval = kr;
104: #else
105: eval = PetscCMPLX(kr,ki);
106: #endif
107: if (eval!=eigs[i]) SETERRQ(PETSC_COMM_WORLD,1,"Eigenvalues in the file do not match");
108: }
109: PetscFree(eigs);
110: }
112: PEPDestroy(&pep);
113: MatDestroy(&A[0]);
114: MatDestroy(&A[1]);
115: MatDestroy(&A[2]);
116: SlepcFinalize();
117: return ierr;
118: }
120: /*TEST
122: test:
123: suffix: 1
124: args: -pep_error_backward ::ascii_info_detail -pep_largest_real -pep_view_values -pep_monitor_conv -pep_error_absolute ::ascii_matlab -pep_monitor_all -pep_converged_reason -pep_view
125: requires: !single
126: filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/[+-]0\.0*i//g" -e "s/\([0-9]\.[5]*\)[+-][0-9]\.[0-9]*e-[0-9]*i/\\1/g" -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
128: test:
129: suffix: 2
130: args: -n 12 -pep_largest_real -pep_monitor -pep_view_values ::ascii_matlab
131: requires: double
132: filter: sed -e "s/[+-][0-9]\.[0-9]*e-[0-9]*i//" -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g" -e "s/5\.\([49]\)999999[0-9]*e+00/5.\\1999999999999999e+00/"
134: test:
135: suffix: 3
136: args: -pep_nev 4 -pep_view_values binary:myvalues.bin -checkfile myvalues.bin
137: requires: double
139: test:
140: suffix: 4
141: args: -pep_nev 4 -pep_ncv 10 -pep_refine -pep_conv_norm -pep_extract none -pep_scale scalar -pep_view -pep_monitor -pep_error_relative ::ascii_info_detail
142: requires: double !complex
143: filter: grep -v "tolerance" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
145: test:
146: suffix: 5
147: args: -n 12 -pep_largest_real -pep_monitor draw::draw_lg -pep_monitor_all draw::draw_lg -pep_view_values draw -draw_save myeigen.ppm -draw_virtual
148: requires: double
150: TEST*/