/usr/include/boost/graph
NameSizeModeActions
detail/-0755rm
distributed/-0755rm
parallel/-0755rm
planar_detail/-0755rm
property_maps/-0755rm
accounting.hpp8760644editdlrm
adjacency_iterator.hpp28990644editdlrm
adjacency_list.hpp136920644editdlrm
adjacency_list_io.hpp118490644editdlrm
adjacency_matrix.hpp457430644editdlrm
adj_list_serialize.hpp45230644editdlrm
astar_search.hpp267360644editdlrm
bandwidth.hpp29920644editdlrm
bc_clustering.hpp59370644editdlrm
bellman_ford_shortest_paths.hpp82290644editdlrm
betweenness_centrality.hpp262900644editdlrm
biconnected_components.hpp167010644editdlrm
bipartite.hpp134920644editdlrm
boyer_myrvold_planar_test.hpp98490644editdlrm
boykov_kolmogorov_max_flow.hpp473420644editdlrm
breadth_first_search.hpp147510644editdlrm
bron_kerbosch_all_cliques.hpp117360644editdlrm
buffer_concepts.hpp24290644editdlrm
chrobak_payne_drawing.hpp86410644editdlrm
circle_layout.hpp19240644editdlrm
closeness_centrality.hpp60570644editdlrm
clustering_coefficient.hpp57260644editdlrm
compressed_sparse_row_graph.hpp698870644editdlrm
connected_components.hpp41340644editdlrm
copy.hpp212250644editdlrm
core_numbers.hpp136630644editdlrm
create_condensation_graph.hpp31590644editdlrm
cuthill_mckee_ordering.hpp59920644editdlrm
cycle_canceling.hpp66450644editdlrm
dag_shortest_paths.hpp60640644editdlrm
degree_centrality.hpp42360644editdlrm
depth_first_search.hpp154300644editdlrm
dijkstra_shortest_paths.hpp236870644editdlrm
dijkstra_shortest_paths_no_color_map.hpp96200644editdlrm
dimacs.hpp104480644editdlrm
directed_graph.hpp242140644editdlrm
dll_import_export.hpp8920644editdlrm
dominator_tree.hpp175530644editdlrm
eccentricity.hpp46110644editdlrm
edge_coloring.hpp68090644editdlrm
edge_connectivity.hpp67960644editdlrm
edge_list.hpp99480644editdlrm
edmonds_karp_max_flow.hpp101770644editdlrm
edmunds_karp_max_flow.hpp9820644editdlrm
erdos_renyi_generator.hpp72570644editdlrm
exception.hpp14660644editdlrm
exterior_property.hpp42890644editdlrm
filtered_graph.hpp200980644editdlrm
find_flow_cost.hpp18590644editdlrm
floyd_warshall_shortest.hpp85100644editdlrm
fruchterman_reingold.hpp173250644editdlrm
geodesic_distance.hpp80150644editdlrm
graphml.hpp134600644editdlrm
graphviz.hpp335030644editdlrm
graph_archetypes.hpp110080644editdlrm
graph_as_tree.hpp45320644editdlrm
graph_concepts.hpp197850644editdlrm
graph_mutability_traits.hpp49950644editdlrm
graph_selectors.hpp12740644editdlrm
graph_stats.hpp43940644editdlrm
graph_traits.hpp130650644editdlrm
graph_utility.hpp161820644editdlrm
grid_graph.hpp338300644editdlrm
gursoy_atun_layout.hpp132480644editdlrm
hawick_circuits.hpp145930644editdlrm
howard_cycle_ratio.hpp231070644editdlrm
incremental_components.hpp82240644editdlrm
isomorphism.hpp263080644editdlrm
is_kuratowski_subgraph.hpp102600644editdlrm
is_straight_line_drawing.hpp72300644editdlrm
iteration_macros.hpp116590644editdlrm
iteration_macros_undef.hpp6730644editdlrm
johnson_all_pairs_shortest.hpp76460644editdlrm
kamada_kawai_spring_layout.hpp280480644editdlrm
king_ordering.hpp121010644editdlrm
kruskal_min_spanning_tree.hpp57430644editdlrm
labeled_graph.hpp309140644editdlrm
leda_graph.hpp287890644editdlrm
lookup_edge.hpp18940644editdlrm
loop_erased_random_walk.hpp44360644editdlrm
make_biconnected_planar.hpp35130644editdlrm
make_connected.hpp26450644editdlrm
make_maximal_planar.hpp75780644editdlrm
matrix_as_graph.hpp72270644editdlrm
maximum_adjacency_search.hpp151250644editdlrm
maximum_weighted_matching.hpp497220644editdlrm
max_cardinality_matching.hpp310000644editdlrm
mcgregor_common_subgraphs.hpp434700644editdlrm
mesh_graph_generator.hpp56160644editdlrm
metis.hpp109820644editdlrm
metric_tsp_approx.hpp108090644editdlrm
minimum_degree_ordering.hpp270870644editdlrm
named_function_params.hpp396390644editdlrm
named_graph.hpp206140644editdlrm
neighbor_bfs.hpp117630644editdlrm
numeric_values.hpp18140644editdlrm
one_bit_color_map.hpp32770644editdlrm
overloading.hpp15840644editdlrm
page_rank.hpp61640644editdlrm
planar_canonical_ordering.hpp72030644editdlrm
planar_face_traversal.hpp60200644editdlrm
plod_generator.hpp77080644editdlrm
point_traits.hpp7820644editdlrm
prim_minimum_spanning_tree.hpp29600644editdlrm
profile.hpp13270644editdlrm
properties.hpp124170644editdlrm
property_iter_range.hpp43450644editdlrm
push_relabel_max_flow.hpp347370644editdlrm
random.hpp96720644editdlrm
random_layout.hpp9880644editdlrm
random_spanning_tree.hpp57750644editdlrm
read_dimacs.hpp120800644editdlrm
relax.hpp44000644editdlrm
reverse_graph.hpp224020644editdlrm
rmat_graph_generator.hpp192910644editdlrm
r_c_shortest_paths.hpp306730644editdlrm
sequential_vertex_coloring.hpp45620644editdlrm
simple_point.hpp6280644editdlrm
sloan_ordering.hpp155400644editdlrm
smallest_last_ordering.hpp54580644editdlrm
small_world_generator.hpp36700644editdlrm
ssca_graph_generator.hpp65640644editdlrm
stanford_graph.hpp201260644editdlrm
stoer_wagner_min_cut.hpp124150644editdlrm
strong_components.hpp130090644editdlrm
st_connected.hpp28520644editdlrm
subgraph.hpp399960644editdlrm
successive_shortest_path_nonnegative_weights.hpp104130644editdlrm
tiernan_all_cycles.hpp125470644editdlrm
topological_sort.hpp26110644editdlrm
topology.hpp203890644editdlrm
transitive_closure.hpp142600644editdlrm
transitive_reduction.hpp53260644editdlrm
transpose_graph.hpp11980644editdlrm
tree_traits.hpp13380644editdlrm
two_bit_color_map.hpp35100644editdlrm
two_graphs_common_spanning_trees.hpp349960644editdlrm
undirected_dfs.hpp106720644editdlrm
undirected_graph.hpp252760644editdlrm
use_mpi.hpp4370644editdlrm
vector_as_graph.hpp104740644editdlrm
vertex_and_edge_range.hpp55280644editdlrm
vf2_sub_graph_iso.hpp485850644editdlrm
visitors.hpp113180644editdlrm
wavefront.hpp39320644editdlrm
write_dimacs.hpp28890644editdlrm
Edit: /usr/include/boost/graph/geodesic_distance.hpp (8015B)
// (C) Copyright Andrew Sutton 2007 // // Use, modification and distribution are subject to the // Boost Software License, Version 1.0 (See accompanying file // LICENSE_1_0.txt or http://www.boost.org/LICENSE_1_0.txt) #ifndef BOOST_GRAPH_GEODESIC_DISTANCE_HPP #define BOOST_GRAPH_GEODESIC_DISTANCE_HPP #include #include #include namespace boost { template < typename Graph, typename DistanceType, typename ResultType, typename Divides = std::divides< ResultType > > struct mean_geodesic_measure : public geodesic_measure< Graph, DistanceType, ResultType > { typedef geodesic_measure< Graph, DistanceType, ResultType > base_type; typedef typename base_type::distance_type distance_type; typedef typename base_type::result_type result_type; result_type operator()(distance_type d, const Graph& g) { BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >)); BOOST_CONCEPT_ASSERT((NumericValueConcept< DistanceType >)); BOOST_CONCEPT_ASSERT((NumericValueConcept< ResultType >)); BOOST_CONCEPT_ASSERT((AdaptableBinaryFunctionConcept< Divides, ResultType, ResultType, ResultType >)); return (d == base_type::infinite_distance()) ? base_type::infinite_result() : div(result_type(d), result_type(num_vertices(g) - 1)); } Divides div; }; template < typename Graph, typename DistanceMap > inline mean_geodesic_measure< Graph, typename property_traits< DistanceMap >::value_type, double > measure_mean_geodesic(const Graph&, DistanceMap) { return mean_geodesic_measure< Graph, typename property_traits< DistanceMap >::value_type, double >(); } template < typename T, typename Graph, typename DistanceMap > inline mean_geodesic_measure< Graph, typename property_traits< DistanceMap >::value_type, T > measure_mean_geodesic(const Graph&, DistanceMap) { return mean_geodesic_measure< Graph, typename property_traits< DistanceMap >::value_type, T >(); } // This is a little different because it's expected that the result type // should (must?) be the same as the distance type. There's a type of // transitivity in this thinking... If the average of distances has type // X then the average of x's should also be type X. Is there a case where this // is not true? // // This type is a little under-genericized... It needs generic parameters // for addition and division. template < typename Graph, typename DistanceType > struct mean_graph_distance_measure : public geodesic_measure< Graph, DistanceType, DistanceType > { typedef geodesic_measure< Graph, DistanceType, DistanceType > base_type; typedef typename base_type::distance_type distance_type; typedef typename base_type::result_type result_type; inline result_type operator()(distance_type d, const Graph& g) { BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >)); BOOST_CONCEPT_ASSERT((NumericValueConcept< DistanceType >)); if (d == base_type::infinite_distance()) { return base_type::infinite_result(); } else { return d / result_type(num_vertices(g)); } } }; template < typename Graph, typename DistanceMap > inline mean_graph_distance_measure< Graph, typename property_traits< DistanceMap >::value_type > measure_graph_mean_geodesic(const Graph&, DistanceMap) { typedef typename property_traits< DistanceMap >::value_type T; return mean_graph_distance_measure< Graph, T >(); } template < typename Graph, typename DistanceMap, typename Measure, typename Combinator > inline typename Measure::result_type mean_geodesic( const Graph& g, DistanceMap dist, Measure measure, Combinator combine) { BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >)); typedef typename Measure::distance_type Distance; Distance n = detail::combine_distances(g, dist, combine, Distance(0)); return measure(n, g); } template < typename Graph, typename DistanceMap, typename Measure > inline typename Measure::result_type mean_geodesic( const Graph& g, DistanceMap dist, Measure measure) { BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >)); typedef typename Measure::distance_type Distance; return mean_geodesic(g, dist, measure, std::plus< Distance >()); } template < typename Graph, typename DistanceMap > inline double mean_geodesic(const Graph& g, DistanceMap dist) { return mean_geodesic(g, dist, measure_mean_geodesic(g, dist)); } template < typename T, typename Graph, typename DistanceMap > inline T mean_geodesic(const Graph& g, DistanceMap dist) { return mean_geodesic(g, dist, measure_mean_geodesic< T >(g, dist)); } template < typename Graph, typename DistanceMatrixMap, typename GeodesicMap, typename Measure > inline typename property_traits< GeodesicMap >::value_type all_mean_geodesics( const Graph& g, DistanceMatrixMap dist, GeodesicMap geo, Measure measure) { BOOST_CONCEPT_ASSERT((VertexListGraphConcept< Graph >)); typedef typename graph_traits< Graph >::vertex_descriptor Vertex; typedef typename graph_traits< Graph >::vertex_iterator VertexIterator; BOOST_CONCEPT_ASSERT( (ReadablePropertyMapConcept< DistanceMatrixMap, Vertex >)); typedef typename property_traits< DistanceMatrixMap >::value_type DistanceMap; BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >)); typedef typename Measure::result_type Result; BOOST_CONCEPT_ASSERT((WritablePropertyMapConcept< GeodesicMap, Vertex >)); BOOST_CONCEPT_ASSERT((NumericValueConcept< Result >)); // NOTE: We could compute the mean geodesic here by performing additional // computations (i.e., adding and dividing). However, I don't really feel // like fully genericizing the entire operation yet so I'm not going to. Result inf = numeric_values< Result >::infinity(); Result sum = numeric_values< Result >::zero(); VertexIterator i, end; for (boost::tie(i, end) = vertices(g); i != end; ++i) { DistanceMap dm = get(dist, *i); Result r = mean_geodesic(g, dm, measure); put(geo, *i, r); // compute the sum along with geodesics if (r == inf) { sum = inf; } else if (sum != inf) { sum += r; } } // return the average of averages. return sum / Result(num_vertices(g)); } template < typename Graph, typename DistanceMatrixMap, typename GeodesicMap > inline typename property_traits< GeodesicMap >::value_type all_mean_geodesics( const Graph& g, DistanceMatrixMap dist, GeodesicMap geo) { BOOST_CONCEPT_ASSERT((GraphConcept< Graph >)); typedef typename graph_traits< Graph >::vertex_descriptor Vertex; BOOST_CONCEPT_ASSERT( (ReadablePropertyMapConcept< DistanceMatrixMap, Vertex >)); typedef typename property_traits< DistanceMatrixMap >::value_type DistanceMap; BOOST_CONCEPT_ASSERT((WritablePropertyMapConcept< GeodesicMap, Vertex >)); typedef typename property_traits< GeodesicMap >::value_type Result; return all_mean_geodesics( g, dist, geo, measure_mean_geodesic< Result >(g, DistanceMap())); } template < typename Graph, typename GeodesicMap, typename Measure > inline typename Measure::result_type small_world_distance( const Graph& g, GeodesicMap geo, Measure measure) { BOOST_CONCEPT_ASSERT((DistanceMeasureConcept< Measure, Graph >)); typedef typename Measure::result_type Result; Result sum = detail::combine_distances(g, geo, std::plus< Result >(), Result(0)); return measure(sum, g); } template < typename Graph, typename GeodesicMap > inline typename property_traits< GeodesicMap >::value_type small_world_distance( const Graph& g, GeodesicMap geo) { return small_world_distance(g, geo, measure_graph_mean_geodesic(g, geo)); } } #endif