2 //=======================================================================
3 // Copyright 1997, 1998, 1999, 2000 University of Notre Dame.
4 // Authors: Andrew Lumsdaine, Lie-Quan Lee, Jeremy G. Siek
6 // Distributed under the Boost Software License, Version 1.0. (See
7 // accompanying file LICENSE_1_0.txt or copy at
8 // http://www.boost.org/LICENSE_1_0.txt)
9 //=======================================================================
11 #ifndef BOOST_GRAPH_MST_KRUSKAL_HPP
12 #define BOOST_GRAPH_MST_KRUSKAL_HPP
15 *Minimum Spanning Tree
26 #include <boost/property_map.hpp>
27 #include <boost/graph/graph_concepts.hpp>
28 #include <boost/graph/named_function_params.hpp>
29 #include <boost/pending/disjoint_sets.hpp>
30 #include <boost/pending/indirect_cmp.hpp>
35 // Kruskal's algorithm for Minimum Spanning Tree
37 // This is a greedy algorithm to calculate the Minimum Spanning Tree
38 // for an undirected graph with weighted edges. The output will be a
44 template <class Graph, class OutputIterator,
45 class Rank, class Parent, class Weight>
47 kruskal_mst_impl(const Graph& G,
48 OutputIterator spanning_tree_edges,
49 Rank rank, Parent parent, Weight weight)
51 if (num_vertices(G) == 0) return; // Nothing to do in this case
52 typedef typename graph_traits<Graph>::vertex_descriptor Vertex;
53 typedef typename graph_traits<Graph>::edge_descriptor Edge;
54 function_requires<VertexListGraphConcept<Graph> >();
55 function_requires<EdgeListGraphConcept<Graph> >();
56 function_requires<OutputIteratorConcept<OutputIterator, Edge> >();
57 function_requires<ReadWritePropertyMapConcept<Rank, Vertex> >();
58 function_requires<ReadWritePropertyMapConcept<Parent, Vertex> >();
59 function_requires<ReadablePropertyMapConcept<Weight, Edge> >();
60 typedef typename property_traits<Weight>::value_type W_value;
61 typedef typename property_traits<Rank>::value_type R_value;
62 typedef typename property_traits<Parent>::value_type P_value;
63 function_requires<ComparableConcept<W_value> >();
64 function_requires<ConvertibleConcept<P_value, Vertex> >();
65 function_requires<IntegerConcept<R_value> >();
67 disjoint_sets<Rank, Parent> dset(rank, parent);
69 typename graph_traits<Graph>::vertex_iterator ui, uiend;
70 for (boost::tie(ui, uiend) = vertices(G); ui != uiend; ++ui)
73 typedef indirect_cmp<Weight, std::greater<W_value> > weight_greater;
74 weight_greater wl(weight);
75 std::priority_queue<Edge, std::vector<Edge>, weight_greater> Q(wl);
76 /*push all edge into Q*/
77 typename graph_traits<Graph>::edge_iterator ei, eiend;
78 for (boost::tie(ei, eiend) = edges(G); ei != eiend; ++ei)
84 Vertex u = dset.find_set(source(e, G));
85 Vertex v = dset.find_set(target(e, G));
87 *spanning_tree_edges++ = e;
95 // Named Parameters Variants
97 template <class Graph, class OutputIterator>
99 kruskal_minimum_spanning_tree(const Graph& g,
100 OutputIterator spanning_tree_edges)
102 typedef typename graph_traits<Graph>::vertices_size_type size_type;
103 typedef typename graph_traits<Graph>::vertex_descriptor vertex_t;
104 typedef typename property_map<Graph, vertex_index_t>::type index_map_t;
105 if (num_vertices(g) == 0) return; // Nothing to do in this case
106 typename graph_traits<Graph>::vertices_size_type
108 std::vector<size_type> rank_map(n);
109 std::vector<vertex_t> pred_map(n);
111 detail::kruskal_mst_impl
112 (g, spanning_tree_edges,
113 make_iterator_property_map(rank_map.begin(), get(vertex_index, g), rank_map[0]),
114 make_iterator_property_map(pred_map.begin(), get(vertex_index, g), pred_map[0]),
115 get(edge_weight, g));
118 template <class Graph, class OutputIterator, class P, class T, class R>
120 kruskal_minimum_spanning_tree(const Graph& g,
121 OutputIterator spanning_tree_edges,
122 const bgl_named_params<P, T, R>& params)
124 typedef typename graph_traits<Graph>::vertices_size_type size_type;
125 typedef typename graph_traits<Graph>::vertex_descriptor vertex_t;
126 if (num_vertices(g) == 0) return; // Nothing to do in this case
127 typename graph_traits<Graph>::vertices_size_type n;
128 n = is_default_param(get_param(params, vertex_rank))
129 ? num_vertices(g) : 1;
130 std::vector<size_type> rank_map(n);
131 n = is_default_param(get_param(params, vertex_predecessor))
132 ? num_vertices(g) : 1;
133 std::vector<vertex_t> pred_map(n);
135 detail::kruskal_mst_impl
136 (g, spanning_tree_edges,
138 (get_param(params, vertex_rank),
139 make_iterator_property_map
141 choose_pmap(get_param(params, vertex_index), g, vertex_index), rank_map[0])),
143 (get_param(params, vertex_predecessor),
144 make_iterator_property_map
146 choose_const_pmap(get_param(params, vertex_index), g, vertex_index),
148 choose_const_pmap(get_param(params, edge_weight), g, edge_weight));
154 #endif // BOOST_GRAPH_MST_KRUSKAL_HPP