src/work/marci/leda/comparison.cc
author marci
Mon, 23 Aug 2004 11:26:09 +0000
changeset 769 eb61fbc64c16
parent 768 a5e9303a5511
child 770 6387df9aadb0
permissions -rw-r--r--
.
     1 // -*- c++ -*-
     2 #include <iostream>
     3 #include <fstream>
     4 #include <vector>
     5 #include <cstdlib>
     6 
     7 #include <LEDA/graph.h>
     8 #include <LEDA/mcb_matching.h>
     9 #include <LEDA/list.h>
    10 #include <LEDA/graph_gen.h>
    11 
    12 #include <leda_graph_wrapper.h>
    13 #include <sage_graph.h>
    14 //#include <smart_graph.h>
    15 //#include <dimacs.h>
    16 #include <hugo/time_measure.h>
    17 #include <for_each_macros.h>
    18 #include <hugo/graph_wrapper.h>
    19 #include <bipartite_graph_wrapper.h>
    20 #include <hugo/maps.h>
    21 #include <hugo/max_flow.h>
    22 
    23 using std::cout;
    24 using std::endl;
    25 
    26 using namespace hugo;
    27 
    28 int main() {
    29   //for leda graph
    30   leda::graph lg;
    31   //lg.make_undirected();
    32   typedef LedaGraphWrapper<leda::graph> Graph;
    33   Graph g(lg);
    34 
    35   //for UndirSageGraph
    36   //typedef UndirSageGraph Graph; 
    37   //Graph g;
    38 
    39   typedef Graph::Node Node;
    40   typedef Graph::NodeIt NodeIt;
    41   typedef Graph::Edge Edge;
    42   typedef Graph::EdgeIt EdgeIt;
    43   typedef Graph::OutEdgeIt OutEdgeIt;
    44 
    45   std::vector<Graph::Node> s_nodes;
    46   std::vector<Graph::Node> t_nodes;
    47 
    48   int a;
    49   cout << "number of nodes in the first color class=";
    50   std::cin >> a; 
    51   int b;
    52   cout << "number of nodes in the second color class=";
    53   std::cin >> b; 
    54   int m;
    55   cout << "number of edges=";
    56   std::cin >> m; 
    57   int k;
    58   cout << "A bipartite graph is a random group graph if the color classes \nA and B are partitiones to A_0, A_1, ..., A_{k-1} and B_0, B_1, ..., B_{k-1} \nas equally as possible \nand the edges from A_i goes to A_{i-1 mod k} and A_{i+1 mod k}.\n";
    59   cout << "number of groups in LEDA random group graph=";
    60   std::cin >> k; 
    61   cout << endl;
    62   
    63   leda_list<leda_node> lS;
    64   leda_list<leda_node> lT;
    65   random_bigraph(lg, a, b, m, lS, lT, k);
    66 
    67   Graph::NodeMap<int> ref_map(g, -1);
    68   IterableBoolMap< Graph::NodeMap<int> > bipartite_map(ref_map);
    69 
    70   //generating leda random group graph
    71   leda_node ln;
    72   forall(ln, lS) bipartite_map.insert(ln, false);
    73   forall(ln, lT) bipartite_map.insert(ln, true);
    74 
    75   //making bipartite graph
    76   typedef BipartiteGraphWrapper<Graph> BGW;
    77   BGW bgw(g, bipartite_map);
    78 
    79 
    80   //st-wrapper
    81   typedef stBipartiteGraphWrapper<BGW> stGW;
    82   stGW stgw(bgw);
    83   ConstMap<stGW::Edge, int> const1map(1);
    84   stGW::EdgeMap<int> flow(stgw);
    85 
    86   Timer ts;
    87 
    88   ts.reset();
    89   FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
    90   MaxFlow<stGW, int, ConstMap<stGW::Edge, int>, stGW::EdgeMap<int> > 
    91     max_flow_test(stgw, stgw.S_NODE, stgw.T_NODE, const1map, flow/*, true*/);
    92   max_flow_test.run();
    93   cout << "HUGO max matching algorithm based on preflow." << endl 
    94 	    << "Size of matching: " 
    95 	    << max_flow_test.flowValue() << endl;
    96   cout << "elapsed time: " << ts << endl << endl;
    97 
    98   ts.reset();  
    99   leda_list<leda_edge> ml=MAX_CARD_BIPARTITE_MATCHING(lg);
   100   cout << "LEDA max matching algorithm." << endl 
   101 	    << "Size of matching: " 
   102 	    << ml.size() << endl;
   103   cout << "elapsed time: " << ts << endl << endl;
   104 
   105 //   ts.reset();
   106 //   FOR_EACH_LOC(stGW::EdgeIt, e, stgw) flow.set(e, 0);
   107 //   typedef SageGraph MutableGraph;
   108 //   while (max_flow_test.augmentOnBlockingFlow<MutableGraph>()) { }
   109 //   cout << "HUGO max matching algorithm based on blocking flow augmentation." 
   110 // 	    << endl << "Matching size: " 
   111 // 	    << max_flow_test.flowValue() << endl;
   112 //   cout << "elapsed time: " << ts << endl << endl;
   113 
   114   {
   115   SageGraph hg;
   116   SageGraph::Node s=hg.addNode();  
   117   SageGraph::Node t=hg.addNode();
   118   BGW::NodeMap<SageGraph::Node> b_s_nodes(bgw);  
   119   BGW::NodeMap<SageGraph::Node> b_t_nodes(bgw);
   120   
   121   FOR_EACH_INC_LOC(BGW::ClassNodeIt, n, bgw, BGW::S_CLASS) {
   122     b_s_nodes.set(n, hg.addNode());
   123     hg.addEdge(s, b_s_nodes[n]);
   124   }
   125   FOR_EACH_INC_LOC(BGW::ClassNodeIt, n, bgw, BGW::T_CLASS) {
   126     b_t_nodes.set(n, hg.addNode());
   127     hg.addEdge(b_t_nodes[n], t);
   128   }
   129 
   130   FOR_EACH_LOC(BGW::EdgeIt, e, bgw) 
   131     hg.addEdge(b_s_nodes[bgw.tail(e)], b_t_nodes[bgw.head(e)]);
   132 
   133   ConstMap<SageGraph::Edge, int> cm(1);
   134   SageGraph::EdgeMap<int> flow(hg); //0
   135   
   136   Timer ts;
   137 
   138   ts.reset();
   139   MaxFlow<SageGraph, int, ConstMap<SageGraph::Edge, int>, 
   140     SageGraph::EdgeMap<int> > 
   141     max_flow_test(hg, s, t, cm, flow);
   142   max_flow_test.run();
   143   cout << "HUGO max matching algorithm on SageGraph by copying the graph, based on preflow." 
   144 	    << endl 
   145 	    << "Size of matching: " 
   146 	    << max_flow_test.flowValue() << endl;
   147   cout << "elapsed time: " << ts << endl << endl;
   148   }
   149 
   150   return 0;
   151 }