boost/graph/cuthill_mckee_ordering.hpp
// //======================================================================= // Copyright 1997, 1998, 1999, 2000 University of Notre Dame. // Authors: Andrew Lumsdaine, Lie-Quan Lee, Jeremy G. Siek // // This file is part of the Boost Graph Library // // You should have received a copy of the License Agreement for the // Boost Graph Library along with the software; see the file LICENSE. // If not, contact Office of Research, University of Notre Dame, Notre // Dame, IN 46556. // // Permission to modify the code and to distribute modified code is // granted, provided the text of this NOTICE is retained, a notice that // the code was modified is included with the above COPYRIGHT NOTICE and // with the COPYRIGHT NOTICE in the LICENSE file, and that the LICENSE // file is distributed with the modified code. // // LICENSOR MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. // By way of example, but not limitation, Licensor MAKES NO // REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY // PARTICULAR PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE COMPONENTS // OR DOCUMENTATION WILL NOT INFRINGE ANY PATENTS, COPYRIGHTS, TRADEMARKS // OR OTHER RIGHTS. //======================================================================= // #ifndef BOOST_GRAPH_CUTHILL_MCKEE_HPP #define BOOST_GRAPH_CUTHILL_MCKEE_HPP #include <boost/config.hpp> #include <vector> #include <queue> #include <boost/pending/queue.hpp> #include <boost/graph/graph_traits.hpp> #include <boost/graph/breadth_first_search.hpp> #include <boost/graph/properties.hpp> #include <boost/pending/indirect_cmp.hpp> #include <boost/property_map.hpp> /* (Reverse) Cuthill-McKee Algorithm for matrix reordering */ namespace boost { namespace detail { // rcm_queue // // This is a custom queue type used in the // reverse_cuthill_mckee_ordering algorithm. // In addition to the normal queue operations, the // rcm_queue provides: // // int eccentricity() const; // value_type spouse() const; // template < class Vertex, class DegreeMap, class Container = std::deque<Vertex> > class rcm_queue : public std::queue<Vertex, Container> { typedef std::queue<Vertex> base; public: typedef typename base::value_type value_type; typedef typename base::size_type size_type; /* SGI queue has not had a contructor queue(const Container&) */ inline rcm_queue(DegreeMap deg) : _size(0), Qsize(1), eccen(-1), degree(deg) { } inline void pop() { if ( !_size ) Qsize = base::size(); base::pop(); if ( _size == Qsize-1 ) { _size = 0; ++eccen; } else ++_size; } inline value_type& front() { value_type& u = base::front(); if ( _size == 0 ) w = u; else if (get(degree,u) < get(degree,w) ) w = u; return u; } inline const value_type& front() const { const value_type& u = base::front(); if ( _size == 0 ) w = u; else if (get(degree,u) < get(degree,w) ) w = u; return u; } inline value_type& top() { return front(); } inline const value_type& top() const { return front(); } inline size_type size() const { return base::size(); } inline size_type eccentricity() const { return eccen; } inline value_type spouse() const { return w; } protected: size_type _size; size_type Qsize; int eccen; mutable value_type w; DegreeMap degree; }; } // namespace detail // Compute Pseudo peripheral // // To compute an approximated peripheral for a given vertex. // Used in <tt>reverse_cuthill_mckee_ordering</tt> algorithm. // template <class Graph, class Vertex, class ColorMap, class DegreeMap> Vertex pseudo_peripheral_pair(Graph& G, const Vertex& u, int& ecc, ColorMap color, DegreeMap degree) { typedef typename property_traits<ColorMap>::value_type ColorValue; typedef color_traits<ColorValue> Color; detail::rcm_queue<Vertex, DegreeMap> Q(degree); typename boost::graph_traits<Graph>::vertex_iterator ui, ui_end; for (tie(ui, ui_end) = vertices(G); ui != ui_end; ++ui) put(color, *ui, Color::white()); breadth_first_search(G, u, buffer(Q).color_map(color)); ecc = Q.eccentricity(); return Q.spouse(); } // Find a good starting node // // This is to find a good starting node for the // reverse_cuthill_mckee_ordering algorithm. "good" is in the sense // of the ordering generated by RCM. // template <class Graph, class Vertex, class Color, class Degree> Vertex find_starting_node(Graph& G, Vertex r, Color color, Degree degree) { Vertex x, y; int eccen_r, eccen_x; x = pseudo_peripheral_pair(G, r, eccen_r, color, degree); y = pseudo_peripheral_pair(G, x, eccen_x, color, degree); while (eccen_x > eccen_r) { r = x; eccen_r = eccen_x; x = y; y = pseudo_peripheral_pair(G, x, eccen_x, color, degree); } return x; } // Reverse Cuthill-McKee algorithm with a given starting Vertex. // // This algorithm requires user to provide a starting vertex to // compute RCM ordering. template <class Graph, class OutputIterator, class ColorMap, class DegreeMap> OutputIterator cuthill_mckee_ordering(Graph& g, typename graph_traits<Graph>::vertex_descriptor s, OutputIterator inverse_permutation, ColorMap color, DegreeMap degree) { typedef typename property_traits<DegreeMap>::value_type DS; typedef typename property_traits<ColorMap>::value_type ColorValue; typedef color_traits<ColorValue> Color; typedef typename graph_traits<Graph>::vertex_descriptor Vertex; typename graph_traits<Graph>::vertex_iterator ui, ui_end; for (tie(ui, ui_end) = vertices(g); ui != ui_end; ++ui) put(color, *ui, Color::white()); typedef indirect_cmp<DegreeMap, std::greater<DS> > Compare; Compare comp(degree); boost::queue<Vertex> bfs_queue; std::priority_queue<Vertex, std::vector<Vertex>, Compare> degree_queue(comp); Vertex u, v; // Like BFS, except the adjacent vertices are visited // in increasing order of degree. put(color, s, Color::gray()); bfs_queue.push(s); while (! bfs_queue.empty()) { u = bfs_queue.top(); bfs_queue.pop(); *inverse_permutation++ = u; typename graph_traits<Graph>::out_edge_iterator ei, ei_end; for (tie(ei, ei_end) = out_edges(u, g); ei != ei_end; ++ei) { v = target(*ei, g); if (get(color, v) == Color::white()) { put(color, v, Color::gray()); degree_queue.push(v); } } while (!degree_queue.empty()) { v = degree_queue.top(); degree_queue.pop(); bfs_queue.push(v); } put(color, u, Color::black()); } // while return inverse_permutation; } template < class Graph, class OutputIterator, class Color, class Degree > inline OutputIterator cuthill_mckee_ordering(Graph& G, OutputIterator inverse_permutation, Color color, Degree degree) { typedef typename boost::graph_traits<Graph>::vertex_descriptor Vertex; typedef typename boost::graph_traits<Graph>::vertex_iterator VerIter; VerIter ri = vertices(G).first; Vertex r = *ri; //if G has several forests, how to let is cover all. ?? Vertex s = find_starting_node(G, r, color, degree); return cuthill_mckee_ordering(G, s, inverse_permutation, color, degree); } } // namespace boost #endif // BOOST_GRAPH_CUTHILL_MCKEE_HPP