FM / graph

/usr/include/boost/graph

Name	Size	Mode	Actions
detail/	-	0755	rm
distributed/	-	0755	rm
parallel/	-	0755	rm
planar_detail/	-	0755	rm
property_maps/	-	0755	rm
accounting.hpp	876	0644	edit dl rm
adjacency_iterator.hpp	2899	0644	edit dl rm
adjacency_list.hpp	13692	0644	edit dl rm
adjacency_list_io.hpp	11849	0644	edit dl rm
adjacency_matrix.hpp	45743	0644	edit dl rm
adj_list_serialize.hpp	4523	0644	edit dl rm
astar_search.hpp	26736	0644	edit dl rm
bandwidth.hpp	2992	0644	edit dl rm
bc_clustering.hpp	5937	0644	edit dl rm
bellman_ford_shortest_paths.hpp	8229	0644	edit dl rm
betweenness_centrality.hpp	26290	0644	edit dl rm
biconnected_components.hpp	16701	0644	edit dl rm
bipartite.hpp	13492	0644	edit dl rm
boyer_myrvold_planar_test.hpp	9849	0644	edit dl rm
boykov_kolmogorov_max_flow.hpp	47342	0644	edit dl rm
breadth_first_search.hpp	14751	0644	edit dl rm
bron_kerbosch_all_cliques.hpp	11736	0644	edit dl rm
buffer_concepts.hpp	2429	0644	edit dl rm
chrobak_payne_drawing.hpp	8641	0644	edit dl rm
circle_layout.hpp	1924	0644	edit dl rm
closeness_centrality.hpp	6057	0644	edit dl rm
clustering_coefficient.hpp	5726	0644	edit dl rm
compressed_sparse_row_graph.hpp	69887	0644	edit dl rm
connected_components.hpp	4134	0644	edit dl rm
copy.hpp	21225	0644	edit dl rm
core_numbers.hpp	13663	0644	edit dl rm
create_condensation_graph.hpp	3159	0644	edit dl rm
cuthill_mckee_ordering.hpp	5992	0644	edit dl rm
cycle_canceling.hpp	6645	0644	edit dl rm
dag_shortest_paths.hpp	6064	0644	edit dl rm
degree_centrality.hpp	4236	0644	edit dl rm
depth_first_search.hpp	15430	0644	edit dl rm
dijkstra_shortest_paths.hpp	23687	0644	edit dl rm
dijkstra_shortest_paths_no_color_map.hpp	9620	0644	edit dl rm
dimacs.hpp	10448	0644	edit dl rm
directed_graph.hpp	24214	0644	edit dl rm
dll_import_export.hpp	892	0644	edit dl rm
dominator_tree.hpp	17553	0644	edit dl rm
eccentricity.hpp	4611	0644	edit dl rm
edge_coloring.hpp	6809	0644	edit dl rm
edge_connectivity.hpp	6796	0644	edit dl rm
edge_list.hpp	9948	0644	edit dl rm
edmonds_karp_max_flow.hpp	10177	0644	edit dl rm
edmunds_karp_max_flow.hpp	982	0644	edit dl rm
erdos_renyi_generator.hpp	7257	0644	edit dl rm
exception.hpp	1466	0644	edit dl rm
exterior_property.hpp	4289	0644	edit dl rm
filtered_graph.hpp	20098	0644	edit dl rm
find_flow_cost.hpp	1859	0644	edit dl rm
floyd_warshall_shortest.hpp	8510	0644	edit dl rm
fruchterman_reingold.hpp	17325	0644	edit dl rm
geodesic_distance.hpp	8015	0644	edit dl rm
graphml.hpp	13460	0644	edit dl rm
graphviz.hpp	33503	0644	edit dl rm
graph_archetypes.hpp	11008	0644	edit dl rm
graph_as_tree.hpp	4532	0644	edit dl rm
graph_concepts.hpp	19785	0644	edit dl rm
graph_mutability_traits.hpp	4995	0644	edit dl rm
graph_selectors.hpp	1274	0644	edit dl rm
graph_stats.hpp	4394	0644	edit dl rm
graph_traits.hpp	13065	0644	edit dl rm
graph_utility.hpp	16182	0644	edit dl rm
grid_graph.hpp	33830	0644	edit dl rm
gursoy_atun_layout.hpp	13248	0644	edit dl rm
hawick_circuits.hpp	14593	0644	edit dl rm
howard_cycle_ratio.hpp	23107	0644	edit dl rm
incremental_components.hpp	8224	0644	edit dl rm
isomorphism.hpp	26308	0644	edit dl rm
is_kuratowski_subgraph.hpp	10260	0644	edit dl rm
is_straight_line_drawing.hpp	7230	0644	edit dl rm
iteration_macros.hpp	11659	0644	edit dl rm
iteration_macros_undef.hpp	673	0644	edit dl rm
johnson_all_pairs_shortest.hpp	7646	0644	edit dl rm
kamada_kawai_spring_layout.hpp	28048	0644	edit dl rm
king_ordering.hpp	12101	0644	edit dl rm
kruskal_min_spanning_tree.hpp	5743	0644	edit dl rm
labeled_graph.hpp	30914	0644	edit dl rm
leda_graph.hpp	28789	0644	edit dl rm
lookup_edge.hpp	1894	0644	edit dl rm
loop_erased_random_walk.hpp	4436	0644	edit dl rm
make_biconnected_planar.hpp	3513	0644	edit dl rm
make_connected.hpp	2645	0644	edit dl rm
make_maximal_planar.hpp	7578	0644	edit dl rm
matrix_as_graph.hpp	7227	0644	edit dl rm
maximum_adjacency_search.hpp	15125	0644	edit dl rm
maximum_weighted_matching.hpp	49722	0644	edit dl rm
max_cardinality_matching.hpp	31000	0644	edit dl rm
mcgregor_common_subgraphs.hpp	43470	0644	edit dl rm
mesh_graph_generator.hpp	5616	0644	edit dl rm
metis.hpp	10982	0644	edit dl rm
metric_tsp_approx.hpp	10809	0644	edit dl rm
minimum_degree_ordering.hpp	27087	0644	edit dl rm
named_function_params.hpp	39639	0644	edit dl rm
named_graph.hpp	20614	0644	edit dl rm
neighbor_bfs.hpp	11763	0644	edit dl rm
numeric_values.hpp	1814	0644	edit dl rm
one_bit_color_map.hpp	3277	0644	edit dl rm
overloading.hpp	1584	0644	edit dl rm
page_rank.hpp	6164	0644	edit dl rm
planar_canonical_ordering.hpp	7203	0644	edit dl rm
planar_face_traversal.hpp	6020	0644	edit dl rm
plod_generator.hpp	7708	0644	edit dl rm
point_traits.hpp	782	0644	edit dl rm
prim_minimum_spanning_tree.hpp	2960	0644	edit dl rm
profile.hpp	1327	0644	edit dl rm
properties.hpp	12417	0644	edit dl rm
property_iter_range.hpp	4345	0644	edit dl rm
push_relabel_max_flow.hpp	34737	0644	edit dl rm
random.hpp	9672	0644	edit dl rm
random_layout.hpp	988	0644	edit dl rm
random_spanning_tree.hpp	5775	0644	edit dl rm
read_dimacs.hpp	12080	0644	edit dl rm
relax.hpp	4400	0644	edit dl rm
reverse_graph.hpp	22402	0644	edit dl rm
rmat_graph_generator.hpp	19291	0644	edit dl rm
r_c_shortest_paths.hpp	30673	0644	edit dl rm
sequential_vertex_coloring.hpp	4562	0644	edit dl rm
simple_point.hpp	628	0644	edit dl rm
sloan_ordering.hpp	15540	0644	edit dl rm
smallest_last_ordering.hpp	5458	0644	edit dl rm
small_world_generator.hpp	3670	0644	edit dl rm
ssca_graph_generator.hpp	6564	0644	edit dl rm
stanford_graph.hpp	20126	0644	edit dl rm
stoer_wagner_min_cut.hpp	12415	0644	edit dl rm
strong_components.hpp	13009	0644	edit dl rm
st_connected.hpp	2852	0644	edit dl rm
subgraph.hpp	39996	0644	edit dl rm
successive_shortest_path_nonnegative_weights.hpp	10413	0644	edit dl rm
tiernan_all_cycles.hpp	12547	0644	edit dl rm
topological_sort.hpp	2611	0644	edit dl rm
topology.hpp	20389	0644	edit dl rm
transitive_closure.hpp	14260	0644	edit dl rm
transitive_reduction.hpp	5326	0644	edit dl rm
transpose_graph.hpp	1198	0644	edit dl rm
tree_traits.hpp	1338	0644	edit dl rm
two_bit_color_map.hpp	3510	0644	edit dl rm
two_graphs_common_spanning_trees.hpp	34996	0644	edit dl rm
undirected_dfs.hpp	10672	0644	edit dl rm
undirected_graph.hpp	25276	0644	edit dl rm
use_mpi.hpp	437	0644	edit dl rm
vector_as_graph.hpp	10474	0644	edit dl rm
vertex_and_edge_range.hpp	5528	0644	edit dl rm
vf2_sub_graph_iso.hpp	48585	0644	edit dl rm
visitors.hpp	11318	0644	edit dl rm
wavefront.hpp	3932	0644	edit dl rm
write_dimacs.hpp	2889	0644	edit dl rm

Edit: /usr/include/boost/graph/gursoy_atun_layout.hpp (13248B)

// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt)

//  Authors: Jeremiah Willcock
//           Douglas Gregor
//           Andrew Lumsdaine
#ifndef BOOST_GRAPH_GURSOY_ATUN_LAYOUT_HPP
#define BOOST_GRAPH_GURSOY_ATUN_LAYOUT_HPP

// Gürsoy-Atun graph layout, based on:
// "Neighbourhood Preserving Load Balancing: A Self-Organizing Approach"
// in 6th International Euro-Par Conference Munich, Germany, August 29 –
// September 1, 2000 Proceedings, pp 234-241
// https://doi.org/10.1007/3-540-44520-X_32

#include <boost/config/no_tr1/cmath.hpp>
#include <boost/throw_exception.hpp>
#include <boost/assert.hpp>
#include <vector>
#include <exception>
#include <algorithm>

#include <boost/graph/visitors.hpp>
#include <boost/graph/properties.hpp>
#include <boost/random/uniform_01.hpp>
#include <boost/random/linear_congruential.hpp>
#include <boost/shared_ptr.hpp>
#include <boost/graph/breadth_first_search.hpp>
#include <boost/graph/dijkstra_shortest_paths.hpp>
#include <boost/graph/named_function_params.hpp>
#include <boost/graph/topology.hpp>

namespace boost
{

namespace detail
{

struct over_distance_limit : public std::exception
    {
    };

template < typename PositionMap, typename NodeDistanceMap,
        typename Topology, typename Graph >
    struct update_position_visitor
    {
        typedef typename Topology::point_type Point;
        PositionMap position_map;
        NodeDistanceMap node_distance;
        const Topology& space;
        Point input_vector;
        double distance_limit;
        double learning_constant;
        double falloff_ratio;

typedef boost::on_examine_vertex event_filter;

typedef
            typename graph_traits< Graph >::vertex_descriptor vertex_descriptor;

update_position_visitor(PositionMap position_map,
            NodeDistanceMap node_distance, const Topology& space,
            const Point& input_vector, double distance_limit,
            double learning_constant, double falloff_ratio)
        : position_map(position_map)
        , node_distance(node_distance)
        , space(space)
        , input_vector(input_vector)
        , distance_limit(distance_limit)
        , learning_constant(learning_constant)
        , falloff_ratio(falloff_ratio)
        {
        }

void operator()(vertex_descriptor v, const Graph&) const
        {
#ifndef BOOST_NO_STDC_NAMESPACE
            using std::pow;
#endif

if (get(node_distance, v) > distance_limit)
                BOOST_THROW_EXCEPTION(over_distance_limit());
            Point old_position = get(position_map, v);
            double distance = get(node_distance, v);
            double fraction
                = learning_constant * pow(falloff_ratio, distance * distance);
            put(position_map, v,
                space.move_position_toward(
                    old_position, fraction, input_vector));
        }
    };

template < typename EdgeWeightMap > struct gursoy_shortest
    {
        template < typename Graph, typename NodeDistanceMap,
            typename UpdatePosition >
        static inline void run(const Graph& g,
            typename graph_traits< Graph >::vertex_descriptor s,
            NodeDistanceMap node_distance, UpdatePosition& update_position,
            EdgeWeightMap weight)
        {
            boost::dijkstra_shortest_paths(g, s,
                weight_map(weight).visitor(boost::make_dijkstra_visitor(
                    std::make_pair(boost::record_distances(
                                       node_distance, boost::on_edge_relaxed()),
                        update_position))));
        }
    };

template <> struct gursoy_shortest< dummy_property_map >
    {
        template < typename Graph, typename NodeDistanceMap,
            typename UpdatePosition >
        static inline void run(const Graph& g,
            typename graph_traits< Graph >::vertex_descriptor s,
            NodeDistanceMap node_distance, UpdatePosition& update_position,
            dummy_property_map)
        {
            boost::breadth_first_search(g, s,
                visitor(boost::make_bfs_visitor(
                    std::make_pair(boost::record_distances(
                                       node_distance, boost::on_tree_edge()),
                        update_position))));
        }
    };

} // namespace detail

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap, typename Diameter, typename VertexIndexMap,
    typename EdgeWeightMap >
void gursoy_atun_step(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position, Diameter diameter,
    double learning_constant, VertexIndexMap vertex_index_map,
    EdgeWeightMap weight)
{
#ifndef BOOST_NO_STDC_NAMESPACE
    using std::exp;
    using std::pow;
#endif

typedef
        typename graph_traits< VertexListAndIncidenceGraph >::vertex_iterator
            vertex_iterator;
    typedef
        typename graph_traits< VertexListAndIncidenceGraph >::vertex_descriptor
            vertex_descriptor;
    typedef typename Topology::point_type point_type;
    vertex_iterator i, iend;
    std::vector< double > distance_from_input_vector(num_vertices(graph));
    typedef boost::iterator_property_map< std::vector< double >::iterator,
        VertexIndexMap, double, double& >
        DistanceFromInputMap;
    DistanceFromInputMap distance_from_input(
        distance_from_input_vector.begin(), vertex_index_map);
    std::vector< double > node_distance_map_vector(num_vertices(graph));
    typedef boost::iterator_property_map< std::vector< double >::iterator,
        VertexIndexMap, double, double& >
        NodeDistanceMap;
    NodeDistanceMap node_distance(
        node_distance_map_vector.begin(), vertex_index_map);
    point_type input_vector = space.random_point();
    vertex_descriptor min_distance_loc
        = graph_traits< VertexListAndIncidenceGraph >::null_vertex();
    double min_distance = 0.0;
    bool min_distance_unset = true;
    for (boost::tie(i, iend) = vertices(graph); i != iend; ++i)
    {
        double this_distance = space.distance(get(position, *i), input_vector);
        put(distance_from_input, *i, this_distance);
        if (min_distance_unset || this_distance < min_distance)
        {
            min_distance = this_distance;
            min_distance_loc = *i;
        }
        min_distance_unset = false;
    }
    BOOST_ASSERT(!min_distance_unset); // Graph must have at least one vertex
    boost::detail::update_position_visitor< PositionMap, NodeDistanceMap,
        Topology, VertexListAndIncidenceGraph >
        update_position(position, node_distance, space, input_vector, diameter,
            learning_constant, exp(-1. / (2 * diameter * diameter)));
    std::fill(
        node_distance_map_vector.begin(), node_distance_map_vector.end(), 0);
    try
    {
        typedef detail::gursoy_shortest< EdgeWeightMap > shortest;
        shortest::run(
            graph, min_distance_loc, node_distance, update_position, weight);
    }
    catch (const detail::over_distance_limit&)
    {
        /* Thrown to break out of BFS or Dijkstra early */
    }
}

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap, typename VertexIndexMap, typename EdgeWeightMap >
void gursoy_atun_refine(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position, int nsteps,
    double diameter_initial, double diameter_final,
    double learning_constant_initial, double learning_constant_final,
    VertexIndexMap vertex_index_map, EdgeWeightMap weight)
{
#ifndef BOOST_NO_STDC_NAMESPACE
    using std::exp;
    using std::pow;
#endif

typedef
        typename graph_traits< VertexListAndIncidenceGraph >::vertex_iterator
            vertex_iterator;
    vertex_iterator i, iend;
    double diameter_ratio = (double)diameter_final / diameter_initial;
    double learning_constant_ratio
        = learning_constant_final / learning_constant_initial;
    std::vector< double > distance_from_input_vector(num_vertices(graph));
    typedef boost::iterator_property_map< std::vector< double >::iterator,
        VertexIndexMap, double, double& >
        DistanceFromInputMap;
    DistanceFromInputMap distance_from_input(
        distance_from_input_vector.begin(), vertex_index_map);
    std::vector< int > node_distance_map_vector(num_vertices(graph));
    typedef boost::iterator_property_map< std::vector< int >::iterator,
        VertexIndexMap, double, double& >
        NodeDistanceMap;
    NodeDistanceMap node_distance(
        node_distance_map_vector.begin(), vertex_index_map);
    for (int round = 0; round < nsteps; ++round)
    {
        double part_done = (double)round / (nsteps - 1);
        // fprintf(stderr, "%2d%% done\n", int(rint(part_done * 100.)));
        int diameter = (int)(diameter_initial * pow(diameter_ratio, part_done));
        double learning_constant = learning_constant_initial
            * pow(learning_constant_ratio, part_done);
        gursoy_atun_step(graph, space, position, diameter, learning_constant,
            vertex_index_map, weight);
    }
}

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap, typename VertexIndexMap, typename EdgeWeightMap >
void gursoy_atun_layout(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position, int nsteps,
    double diameter_initial, double diameter_final,
    double learning_constant_initial, double learning_constant_final,
    VertexIndexMap vertex_index_map, EdgeWeightMap weight)
{
    typedef
        typename graph_traits< VertexListAndIncidenceGraph >::vertex_iterator
            vertex_iterator;
    vertex_iterator i, iend;
    for (boost::tie(i, iend) = vertices(graph); i != iend; ++i)
    {
        put(position, *i, space.random_point());
    }
    gursoy_atun_refine(graph, space, position, nsteps, diameter_initial,
        diameter_final, learning_constant_initial, learning_constant_final,
        vertex_index_map, weight);
}

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap, typename VertexIndexMap >
void gursoy_atun_layout(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position, int nsteps,
    double diameter_initial, double diameter_final,
    double learning_constant_initial, double learning_constant_final,
    VertexIndexMap vertex_index_map)
{
    gursoy_atun_layout(graph, space, position, nsteps, diameter_initial,
        diameter_final, learning_constant_initial, learning_constant_final,
        vertex_index_map, dummy_property_map());
}

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap >
void gursoy_atun_layout(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position, int nsteps,
    double diameter_initial, double diameter_final = 1.0,
    double learning_constant_initial = 0.8,
    double learning_constant_final = 0.2)
{
    gursoy_atun_layout(graph, space, position, nsteps, diameter_initial,
        diameter_final, learning_constant_initial, learning_constant_final,
        get(vertex_index, graph));
}

gursoy_atun_layout(
        graph, space, position, nsteps, sqrt((double)num_vertices(graph)));
}

template < typename VertexListAndIncidenceGraph, typename Topology,
    typename PositionMap, typename P, typename T, typename R >
void gursoy_atun_layout(const VertexListAndIncidenceGraph& graph,
    const Topology& space, PositionMap position,
    const bgl_named_params< P, T, R >& params)
{
#ifndef BOOST_NO_STDC_NAMESPACE
    using std::sqrt;
#endif

std::pair< double, double > diam(sqrt(double(num_vertices(graph))), 1.0);
    std::pair< double, double > learn(0.8, 0.2);
    gursoy_atun_layout(graph, space, position,
        choose_param(get_param(params, iterations_t()), num_vertices(graph)),
        choose_param(get_param(params, diameter_range_t()), diam).first,
        choose_param(get_param(params, diameter_range_t()), diam).second,
        choose_param(get_param(params, learning_constant_range_t()), learn)
            .first,
        choose_param(get_param(params, learning_constant_range_t()), learn)
            .second,
        choose_const_pmap(get_param(params, vertex_index), graph, vertex_index),
        choose_param(get_param(params, edge_weight), dummy_property_map()));
}

} // namespace boost

#endif // BOOST_GRAPH_GURSOY_ATUN_LAYOUT_HPP

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