sequential_vertex_coloring.hpp
来自「CGAL is a collaborative effort of severa」· HPP 代码 · 共 110 行
HPP
110 行
//=======================================================================// 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_SEQUENTIAL_VERTEX_COLORING_HPP#define BOOST_GRAPH_SEQUENTIAL_VERTEX_COLORING_HPP#include <vector>#include <boost/graph/graph_traits.hpp>/* This algorithm is to find coloring of a graph Algorithm: Let G = (V,E) be a graph with vertices (somehow) ordered v_1, v_2, ..., v_n. For k = 1, 2, ..., n the sequential algorithm assigns v_k to the smallest possible color. Reference: Thomas F. Coleman and Jorge J. More, Estimation of sparse Jacobian matrices and graph coloring problems. J. Numer. Anal. V20, P187-209, 1983 v_k is stored as o[k] here. The color of the vertex v will be stored in color[v]. i.e., vertex v belongs to coloring color[v] */namespace boost { template <class VertexListGraph, class OrderPA, class ColorMap> typename graph_traits<VertexListGraph>::size_type sequential_vertex_coloring(const VertexListGraph& G, OrderPA order, ColorMap color) { using graph_traits; using boost::tie; typedef graph_traits<VertexListGraph> GraphTraits; typedef typename GraphTraits::vertex_descriptor Vertex; typedef typename GraphTraits::size_type size_type; size_type max_color = 0; const size_type V = num_vertices(G); // We need to keep track of which colors are used by // adjacent vertices. We do this by marking the colors // that are used. The mark array contains the mark // for each color. The length of mark is the // number of vertices since the maximum possible number of colors // is the number of vertices. std::vector<size_type> mark(V, numeric_limits_max(max_color)); //Initialize colors typename GraphTraits::vertex_iterator v, vend; for (tie(v, vend) = vertices(G); v != vend; ++v) put(color, *v, V-1); //Determine the color for every vertex one by one for ( size_type i = 0; i < V; i++) { Vertex current = get(order,i); typename GraphTraits::adjacency_iterator v, vend; //Mark the colors of vertices adjacent to current. //i can be the value for marking since i increases successively for (tie(v,vend) = adjacent_vertices(current, G); v != vend; ++v) mark[get(color,*v)] = i; //Next step is to assign the smallest un-marked color //to the current vertex. size_type j = 0; //Scan through all useable colors, find the smallest possible //color which is not used by neighbors. Note that if mark[j] //is equal to i, color j is used by one of the current vertex's //neighbors. while ( j < max_color && mark[j] == i ) ++j; if ( j == max_color ) //All colors are used up. Add one more color ++max_color; //At this point, j is the smallest possible color put(color, current, j); //Save the color of vertex current } return max_color; }}#endif
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