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Zoltan2
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00001 // @HEADER 00002 // 00003 // *********************************************************************** 00004 // 00005 // Zoltan2: A package of combinatorial algorithms for scientific computing 00006 // Copyright 2012 Sandia Corporation 00007 // 00008 // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, 00009 // the U.S. Government retains certain rights in this software. 00010 // 00011 // Redistribution and use in source and binary forms, with or without 00012 // modification, are permitted provided that the following conditions are 00013 // met: 00014 // 00015 // 1. Redistributions of source code must retain the above copyright 00016 // notice, this list of conditions and the following disclaimer. 00017 // 00018 // 2. Redistributions in binary form must reproduce the above copyright 00019 // notice, this list of conditions and the following disclaimer in the 00020 // documentation and/or other materials provided with the distribution. 00021 // 00022 // 3. Neither the name of the Corporation nor the names of the 00023 // contributors may be used to endorse or promote products derived from 00024 // this software without specific prior written permission. 00025 // 00026 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00027 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00028 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00029 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00030 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00031 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00032 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00033 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00034 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00035 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00036 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00037 // 00038 // Questions? Contact Karen Devine (kddevin@sandia.gov) 00039 // Erik Boman (egboman@sandia.gov) 00040 // Siva Rajamanickam (srajama@sandia.gov) 00041 // 00042 // *********************************************************************** 00043 // 00044 // @HEADER 00045 00050 #ifndef ZOLTAN2_GREEDYMWM_HPP__ 00051 #define ZOLTAN2_GREEDYMWM_HPP__ 00052 namespace Zoltan2 { 00053 00055 // 00056 // Greedy algorithm for maximum-weight matching. 00057 // This is an 1/2-approximation, but requires a sort. 00058 // We could also use the Path Growing Algorithm by 00059 // Drake & Hogardy, which runs in linear time. 00060 // The algorithm runs in serial; the graph must be gathered to 00061 // the process. 00063 00064 #include <vector> 00065 #include <algorithm> 00066 00067 // This struct should be local to GreedyMWM(), but compiler complains. 00068 template <typename vtx_t, typename wgt_t> 00069 struct GMWM_triplet{ 00070 vtx_t i; 00071 vtx_t j; 00072 wgt_t val; 00073 }; 00074 00075 template <typename vtx_t, typename wgt_t> 00076 static bool compare_triplets(GMWM_triplet<vtx_t,wgt_t> a, 00077 GMWM_triplet<vtx_t,wgt_t> b) 00078 { 00079 return (a.val > b.val); // descending order 00080 } 00081 00082 00083 template <typename vtx_t, typename wgt_t> 00084 vtx_t GreedyMWM( 00085 int *idx, // Index into compressed sparse edge list; 00086 // idx[i] is index into adj of first edge for vertex i 00087 vtx_t *adj, // Edge list in compressed sparse format 00088 wgt_t *wgt, // weights for each edge 00089 vtx_t tnVtx, // number of vertices 00090 vtx_t *match // output result: vtx i matches with vtx match[i] 00091 ) 00092 { 00093 typedef GMWM_triplet<vtx_t, wgt_t> triplet_t; 00094 vtx_t nmatch=0; 00095 std::vector<triplet_t> edges(idx[tnVtx]); 00096 00097 // Make vector of triplets (edges) 00098 size_t k=0; 00099 for (int i=0; i<tnVtx; i++){ 00100 for (int jj=idx[i]; jj<idx[i+1]; jj++){ 00101 int j = adj[jj]; 00102 if (i<=j){ // We need each edge only once. 00103 edges[k].i = i; 00104 edges[k].j = j; 00105 edges[k].val = wgt[k]; 00106 } 00107 k++; 00108 } 00109 } 00110 00111 // Sort edges by weight 00112 std::sort (edges.begin(), edges.end(), compare_triplets<vtx_t,wgt_t>); 00113 00114 // Greedy loop over sorted edges 00115 // std::cout << "After sort:" << std::endl; 00116 for (typename std::vector<triplet_t>::iterator it=edges.begin(); 00117 it!=edges.end(); ++it){ 00118 00119 // std::cout << "edge (" << it->i << ", " << it->j << ", " 00120 // << it->val << ")" << std::endl; 00121 00122 if ((match[it->i] == it->i) && (match[it->j] == it->j )){ 00123 match[it->i] = it->j; 00124 match[it->j] = it->i; 00125 nmatch++; 00126 } 00127 } 00128 return nmatch; 00129 } 00130 } 00131 00132 00133 #endif
1.7.6.1