The graph adadptors can be alteration observed.
In most cases it uses the adapted graph alteration notifiers.
Only special case is now the UndirGraphAdaptor, where
we have to proxy the signals from the graph.
The SubBidirGraphAdaptor is removed, because it doest not
gives more feature than the EdgeSubGraphAdaptor<UndirGraphAdaptor<Graph>>.
The ResGraphAdaptor is based on this composition.
3 * This file is a part of LEMON, a generic C++ optimization library
5 * Copyright (C) 2003-2006
6 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
7 * (Egervary Research Group on Combinatorial Optimization, EGRES).
9 * Permission to use, modify and distribute this software is granted
10 * provided that this copyright notice appears in all copies. For
11 * precise terms see the accompanying LICENSE file.
13 * This software is provided "AS IS" with no warranty of any kind,
14 * express or implied, and with no claim as to its suitability for any
21 ///\brief Computing maximum number of edge-disjoint shortest paths
23 /// This program computes a maximum number of edge-disjoint shortest paths
24 /// between nodes \c s and \c t.
26 /// \include sub_graph_adaptor_demo.cc
28 // Use a DIMACS max flow file as input.
29 // sub_graph_adaptor_demo < dimacs_max_flow_file
30 // Modified to eat lemon graph format!
36 #include <lemon/smart_graph.h>
37 #include <lemon/dijkstra.h>
38 #include <lemon/maps.h>
39 #include <lemon/graph_adaptor.h>
40 #include <lemon/dimacs.h>
41 #include <lemon/preflow.h>
42 #include <tight_edge_filter_map.h>
44 #include <lemon/graph_reader.h>
47 using namespace lemon;
52 int main(int argc, char *argv[])
56 std::cerr << "USAGE: sub_graph_adaptor_demo input_file.lgf" << std::endl;
57 std::cerr << "The file 'input_file.lgf' has to contain a max flow "
58 << "instance in \n LEMON format "
59 << "(e.g. sub_gad_input.lgf is such a file)."
65 //input stream to read the graph from
66 std::ifstream is(argv[1]);
68 typedef SmartGraph Graph;
70 typedef Graph::Edge Edge;
71 typedef Graph::Node Node;
72 typedef Graph::EdgeIt EdgeIt;
73 typedef Graph::NodeIt NodeIt;
74 typedef Graph::EdgeMap<int> LengthMap;
80 //readDimacs(is, g, length, s, t);
83 GraphReader<SmartGraph> reader(is,g);
84 reader.readNode("source",s).readNode("target",t)
85 .readEdgeMap("length",length).run();
87 cout << "edges with lengths (of form id, source--length->target): " << endl;
88 for(EdgeIt e(g); e!=INVALID; ++e)
89 cout << " " << g.id(e) << ", " << g.id(g.source(e)) << "--"
90 << length[e] << "->" << g.id(g.target(e)) << endl;
92 cout << "s: " << g.id(s) << " t: " << g.id(t) << endl;
94 typedef Dijkstra<Graph, LengthMap> Dijkstra;
95 Dijkstra dijkstra(g, length);
98 // This map returns true exactly for those edges which are
99 // tight w.r.t the length funcion and the potential
100 // given by the dijkstra algorithm.
101 typedef TightEdgeFilterMap<Graph, const Dijkstra::DistMap, LengthMap>
103 TightEdgeFilter tight_edge_filter(g, dijkstra.distMap(), length);
105 // ConstMap<Node, bool> const_true_map(true);
106 // This graph contains exaclty the tight edges.
107 // typedef SubGraphAdaptor<Graph, ConstMap<Node, bool>, TightEdgeFilter> SubGW;
108 typedef EdgeSubGraphAdaptor<Graph, TightEdgeFilter> SubGW;
109 SubGW gw(g, tight_edge_filter);
111 ConstMap<Edge, int> const_1_map(1);
112 Graph::EdgeMap<int> flow(g, 0);
113 // Max flow between s and t in the graph of tight edges.
114 Preflow<SubGW, int, ConstMap<Edge, int>, Graph::EdgeMap<int> >
115 preflow(gw, s, t, const_1_map, flow);
118 cout << "maximum number of edge-disjoint shortest paths: "
119 << preflow.flowValue() << endl;
120 cout << "edges of the maximum number of edge-disjoint shortest s-t paths: "
122 for(EdgeIt e(g); e!=INVALID; ++e)
124 cout << " " << g.id(e) << ", "
125 << g.id(g.source(e)) << "--"
126 << length[e] << "->" << g.id(g.target(e)) << endl;