Major improvements in NetworkSimplex.
Main changes:
- Use -potenital[] instead of potential[] to conform to the usual
terminology.
- Use function parameter instead of #define commands to select pivot rule.
- Use much faster implementation for the candidate list pivot rule.
It is about 5-20 times faster now.
- Add a new pivot rule called "Limited Search" that is a modified
version of "Block Search". It is about 25 percent faster on rather
sparse graphs.
- By default "Limited Search" is used for sparse graphs and
"Block Search" is used otherwise. This combined method is the most
efficient on every input class.
- Change the name of private members to start with "_".
- Change the name of function parameters not to start with "_".
- Remove unnecessary documentation for private members.
- Many doc improvements.
3 * This file is a part of LEMON, a generic C++ optimization library
5 * Copyright (C) 2003-2008
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
19 #ifndef LEMON_MIN_COST_MAX_FLOW_H
20 #define LEMON_MIN_COST_MAX_FLOW_H
22 /// \ingroup min_cost_flow
25 /// \brief An efficient algorithm for finding a minimum cost maximum flow.
27 #include <lemon/preflow.h>
28 #include <lemon/network_simplex.h>
29 #include <lemon/maps.h>
33 /// \addtogroup min_cost_flow
36 /// \brief An efficient algorithm for finding a minimum cost
39 /// \ref MinCostMaxFlow implements an efficient algorithm for
40 /// finding a maximum flow having minimal total cost from a given
41 /// source node to a given target node in a directed graph.
43 /// \note \ref MinCostMaxFlow uses \ref Preflow algorithm for finding
44 /// the maximum flow value and \ref NetworkSimplex algorithm for
45 /// finding a minimum cost flow of that value.
47 /// \param Graph The directed graph type the algorithm runs on.
48 /// \param CapacityMap The type of the capacity (upper bound) map.
49 /// \param CostMap The type of the cost (length) map.
52 /// - Edge capacities and costs should be non-negative integers.
53 /// However \c CostMap::Value should be signed type.
55 /// \author Peter Kovacs
57 template < typename Graph,
58 typename CapacityMap = typename Graph::template EdgeMap<int>,
59 typename CostMap = typename Graph::template EdgeMap<int> >
62 typedef typename Graph::Node Node;
63 typedef typename Graph::Edge Edge;
65 typedef typename CapacityMap::Value Capacity;
66 typedef typename CostMap::Value Cost;
67 typedef typename Graph::template NodeMap<Capacity> SupplyMap;
68 typedef NetworkSimplex< Graph, CapacityMap, CapacityMap,
74 /// The type of the flow map.
75 typedef typename Graph::template EdgeMap<Capacity> FlowMap;
79 /// The directed graph the algorithm runs on.
81 /// The modified capacity map.
82 const CapacityMap &capacity;
85 /// The edge map of the found flow.
92 typedef Preflow<Graph, CapacityMap> MaxFlowImpl;
93 /// \brief \ref Preflow class for finding the maximum flow value.
98 /// \brief The constructor of the class.
100 /// The constructor of the class.
102 /// \param _graph The directed graph the algorithm runs on.
103 /// \param _capacity The capacities (upper bounds) of the edges.
104 /// \param _cost The cost (length) values of the edges.
105 /// \param _s The source node.
106 /// \param _t The target node.
107 MinCostMaxFlow( const Graph &_graph,
108 const CapacityMap &_capacity,
109 const CostMap &_cost,
111 graph(_graph), capacity(_capacity), cost(_cost),
112 source(_s), target(_t), flow(_graph),
113 preflow(_graph, _capacity, _s, _t)
116 /// \brief Returns a const reference to the flow map.
118 /// Returns a const reference to the flow map.
120 /// \pre \ref run() must be called before using this function.
121 const FlowMap& flowMap() const {
125 /// \brief Returns the total cost of the found flow.
127 /// Returns the total cost of the found flow. The complexity of the
128 /// function is \f$ O(e) \f$.
130 /// \pre \ref run() must be called before using this function.
131 Cost totalCost() const {
133 for (typename Graph::EdgeIt e(graph); e != INVALID; ++e)
134 c += flow[e] * cost[e];
138 /// \brief Runs the algorithm.
140 preflow.flowMap(flow);
142 MinCostFlowImpl mcf_impl( graph, capacity, cost,
143 source, target, preflow.flowValue() );
145 flow = mcf_impl.flowMap();
148 }; //class MinCostMaxFlow
154 #endif //LEMON_MIN_COST_MAX_FLOW_H