/* -*- mode: C -*- */ /* IGraph library. Copyright (C) 2011-2012 Gabor Csardi 334 Harvard st, Cambridge MA, 02139 USA This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */ #include int main() { igraph_t g; igraph_matrix_t L, R; igraph_sparsemat_t Lsparse, Rsparse; igraph_matrix_t V, V3; igraph_matrix_complex_t V2; igraph_sparsemat_t stochastic; igraph_vector_t groups; igraph_eigen_which_t which; igraph_vector_t p, selcol; igraph_matrix_init(&L, 0, 0); igraph_matrix_init(&R, 0, 0); igraph_matrix_init(&V, 0, 0); igraph_matrix_init(&V3, 0, 0); igraph_vector_init(&groups, 0); igraph_vector_init(&selcol, 1); /* This is a 10-node tree with no non-trivial automorphisms. */ igraph_small(&g, 10, IGRAPH_UNDIRECTED, 3, 5, 4, 5, 4, 9, 8, 9, 0, 9, 0, 6, 1, 6, 1, 2, 7, 8, -1); igraph_matrix_complex_init(&V2, 0, 0); igraph_vector_init(&p, 0); igraph_get_stochastic_sparsemat(&g, &stochastic, /*column-wise=*/ 0); /* p is always the eigenvector corresponding to the 1-eigenvalue. * Since the graph is undirected, p is proportional to the degree vector. */ igraph_degree(&g, &p, igraph_vss_all(), IGRAPH_ALL, IGRAPH_LOOPS); which.pos = IGRAPH_EIGEN_LR; which.howmany = 3; igraph_eigen_matrix(/*matrix=*/ 0, &stochastic, /*fun=*/ 0, 10, /*extra=*/ 0, /*algorithm=*/ IGRAPH_EIGEN_LAPACK, &which, /*options=*/ 0, /*storage=*/ 0, /*values=*/ 0, &V2); igraph_matrix_complex_real(&V2, &V3); VECTOR(selcol)[0] = 2; igraph_matrix_select_cols(&V3, &V, &selcol); #define SEMI() \ do { \ igraph_scg_semiprojectors(&groups, IGRAPH_SCG_STOCHASTIC, &L, &R, \ &Lsparse, &Rsparse, &p, \ IGRAPH_SCG_NORM_ROW); \ } while(0) #define PRINTRES() \ do { \ printf("----------------------\n"); \ igraph_matrix_print(&L); \ printf("---\n"); \ igraph_matrix_print(&R); \ printf("---\n"); \ igraph_sparsemat_destroy(&Lsparse); \ igraph_sparsemat_destroy(&Rsparse); \ } while (0) /* -------------- */ igraph_scg_grouping(&V, &groups, /*intervals=*/ 3, /*intervals_vector=*/ 0, IGRAPH_SCG_STOCHASTIC, IGRAPH_SCG_OPTIMUM, &p, /*maxiter=*/ 10000); SEMI(); PRINTRES(); /* -------------- */ igraph_scg_grouping(&V, &groups, /*intervals=*/ 3, /*intervals_vector=*/ 0, IGRAPH_SCG_STOCHASTIC, IGRAPH_SCG_INTERV_KM, &p, /*maxiter=*/ 10000); SEMI(); PRINTRES(); /* -------------- */ igraph_scg_grouping(&V, &groups, /*intervals=*/ 3, /*intervals_vector=*/ 0, IGRAPH_SCG_STOCHASTIC, IGRAPH_SCG_INTERV, &p, /*maxiter=*/ 10000); SEMI(); PRINTRES(); /* -------------- */ igraph_scg_grouping(&V, &groups, /*(ignored) intervals=*/ 0, /*intervals_vector=*/ 0, IGRAPH_SCG_STOCHASTIC, IGRAPH_SCG_EXACT, &p, /*maxiter=*/ 10000); SEMI(); PRINTRES(); /* -------------- */ igraph_vector_destroy(&p); igraph_vector_destroy(&selcol); igraph_vector_destroy(&groups); igraph_matrix_destroy(&L); igraph_matrix_destroy(&R); igraph_matrix_destroy(&V); igraph_matrix_destroy(&V3); igraph_matrix_complex_destroy(&V2); igraph_sparsemat_destroy(&stochastic); igraph_destroy(&g); return 0; }