Line data Source code
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[] = "Solves a singular value problem with the matrix loaded from a file.\n"
12 : "This example works for both real and complex numbers.\n\n"
13 : "The command line options are:\n"
14 : " -file <filename>, where <filename> = matrix file in PETSc binary form.\n\n";
15 :
16 : #include <slepcsvd.h>
17 :
18 7 : int main(int argc,char **argv)
19 : {
20 7 : Mat A; /* operator matrix */
21 7 : SVD svd; /* singular value problem solver context */
22 7 : SVDType type;
23 7 : PetscReal tol;
24 7 : PetscInt nsv,maxit,its;
25 7 : char filename[PETSC_MAX_PATH_LEN];
26 7 : PetscViewer viewer;
27 7 : PetscBool flg,terse;
28 :
29 7 : PetscFunctionBeginUser;
30 7 : PetscCall(SlepcInitialize(&argc,&argv,(char*)0,help));
31 :
32 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
33 : Load the operator matrix that defines the singular value problem
34 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
35 :
36 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSingular value problem stored in file.\n\n"));
37 7 : PetscCall(PetscOptionsGetString(NULL,NULL,"-file",filename,sizeof(filename),&flg));
38 7 : PetscCheck(flg,PETSC_COMM_WORLD,PETSC_ERR_USER_INPUT,"Must indicate a file name with the -file option");
39 :
40 : #if defined(PETSC_USE_COMPLEX)
41 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading COMPLEX matrix from a binary file...\n"));
42 : #else
43 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Reading REAL matrix from a binary file...\n"));
44 : #endif
45 7 : PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
46 7 : PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
47 7 : PetscCall(MatSetFromOptions(A));
48 7 : PetscCall(MatLoad(A,viewer));
49 7 : PetscCall(PetscViewerDestroy(&viewer));
50 :
51 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
52 : Create the singular value solver and set various options
53 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
54 :
55 : /*
56 : Create singular value solver context
57 : */
58 7 : PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));
59 :
60 : /*
61 : Set operator
62 : */
63 7 : PetscCall(SVDSetOperators(svd,A,NULL));
64 :
65 : /*
66 : Set solver parameters at runtime
67 : */
68 7 : PetscCall(SVDSetFromOptions(svd));
69 :
70 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
71 : Solve the singular value system
72 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
73 :
74 7 : PetscCall(SVDSolve(svd));
75 7 : PetscCall(SVDGetIterationNumber(svd,&its));
76 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of iterations of the method: %" PetscInt_FMT "\n",its));
77 :
78 : /*
79 : Optional: Get some information from the solver and display it
80 : */
81 7 : PetscCall(SVDGetType(svd,&type));
82 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Solution method: %s\n\n",type));
83 7 : PetscCall(SVDGetDimensions(svd,&nsv,NULL,NULL));
84 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Number of requested singular values: %" PetscInt_FMT "\n",nsv));
85 7 : PetscCall(SVDGetTolerances(svd,&tol,&maxit));
86 7 : PetscCall(PetscPrintf(PETSC_COMM_WORLD," Stopping condition: tol=%.4g, maxit=%" PetscInt_FMT "\n",(double)tol,maxit));
87 :
88 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
89 : Display solution and clean up
90 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
91 :
92 : /* show detailed info unless -terse option is given by user */
93 7 : PetscCall(PetscOptionsHasName(NULL,NULL,"-terse",&terse));
94 7 : if (terse) PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
95 : else {
96 1 : PetscCall(PetscViewerPushFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_INFO_DETAIL));
97 1 : PetscCall(SVDConvergedReasonView(svd,PETSC_VIEWER_STDOUT_WORLD));
98 1 : PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,PETSC_VIEWER_STDOUT_WORLD));
99 1 : PetscCall(PetscViewerPopFormat(PETSC_VIEWER_STDOUT_WORLD));
100 : }
101 7 : PetscCall(SVDDestroy(&svd));
102 7 : PetscCall(MatDestroy(&A));
103 7 : PetscCall(SlepcFinalize());
104 : return 0;
105 : }
106 : /*TEST
107 :
108 : testset:
109 : requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
110 : args: -file ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc -terse
111 : test:
112 : suffix: 1
113 : args: -svd_nsv 4 -svd_standard -svd_ncv 12 -svd_type {{trlanczos lanczos randomized cross}}
114 : filter: grep -v method
115 : test:
116 : suffix: 1_scalapack
117 : nsize: {{1 2 3}}
118 : args: -svd_nsv 4 -svd_type scalapack
119 : requires: scalapack
120 : test:
121 : suffix: 1_elemental
122 : nsize: {{1 2 3}}
123 : args: -svd_nsv 4 -svd_type elemental
124 : output_file: output/ex14_1_scalapack.out
125 : filter: sed -e "s/elemental/scalapack/"
126 : requires: elemental
127 : test:
128 : suffix: 1_ksvd
129 : nsize: 6
130 : args: -svd_nsv 4 -svd_type ksvd -svd_ksvd_eigen_method {{mrrr elpa}} -svd_ksvd_polar_method {{qdwh zolopd}}
131 : output_file: output/ex14_1_scalapack.out
132 : filter: sed -e "s/ksvd/scalapack/"
133 : requires: elpa polar ksvd
134 : test:
135 : suffix: 2
136 : args: -svd_nsv 2 -svd_type cyclic -svd_cyclic_explicitmatrix -svd_cyclic_st_type sinvert -svd_cyclic_eps_target 12.5 -svd_cyclic_st_ksp_type preonly -svd_cyclic_st_pc_type lu -svd_view
137 : filter: grep -v tolerance
138 : test:
139 : suffix: 2_cross
140 : args: -svd_nsv 2 -svd_type cross -svd_cross_explicitmatrix -svd_cross_st_type sinvert -svd_cross_eps_target 100.0
141 : filter: grep -v tolerance
142 :
143 : testset:
144 : requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)
145 : args: -file ${DATAFILESPATH}/matrices/complex/qc324.petsc -terse
146 : test:
147 : suffix: 1_complex
148 : args: -svd_nsv 4
149 : test:
150 : suffix: 1_complex_scalapack
151 : nsize: {{1 2 3}}
152 : args: -svd_nsv 4 -svd_type scalapack
153 : requires: scalapack
154 : test:
155 : suffix: 1_complex_elemental
156 : nsize: {{1 2 3}}
157 : args: -svd_nsv 4 -svd_type elemental
158 : requires: elemental
159 : test:
160 : suffix: 2_complex
161 : args: -svd_nsv 2 -svd_type cyclic -svd_cyclic_explicitmatrix -svd_cyclic_st_type sinvert -svd_cyclic_eps_target 12.0 -svd_cyclic_st_ksp_type preonly -svd_cyclic_st_pc_type lu -svd_view
162 : filter: grep -v tolerance
163 :
164 : testset:
165 : args: -svd_nsv 5 -svd_type randomized -svd_max_it 1 -svd_conv_maxit
166 : test:
167 : suffix: 3
168 : args: -file ${SLEPC_DIR}/share/slepc/datafiles/matrices/rdb200.petsc
169 : requires: double !complex !defined(PETSC_USE_64BIT_INDICES)
170 : test:
171 : suffix: 3_complex
172 : args: -file ${DATAFILESPATH}/matrices/complex/qc324.petsc
173 : requires: double complex datafilespath !defined(PETSC_USE_64BIT_INDICES)
174 : filter: sed -e 's/[0-9][0-9]$//'
175 :
176 : TEST*/
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