lemon/min_cost_max_flow.h
author kpeter
Fri, 07 Nov 2008 20:15:10 +0000
changeset 2627 197e2ea11bad
parent 2587 061be2e64eca
permissions -rw-r--r--
Backport doxygen options for version 1.5.7 from [9194a12c52e6]
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/* -*- C++ -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2003-2008
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_MIN_COST_MAX_FLOW_H
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#define LEMON_MIN_COST_MAX_FLOW_H
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/// \ingroup min_cost_flow
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///
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/// \file
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/// \brief An efficient algorithm for finding a minimum cost maximum flow.
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#include <lemon/preflow.h>
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#include <lemon/network_simplex.h>
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#include <lemon/maps.h>
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namespace lemon {
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  /// \addtogroup min_cost_flow
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  /// @{
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  /// \brief An efficient algorithm for finding a minimum cost
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  /// maximum flow.
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  ///
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  /// \ref MinCostMaxFlow implements an efficient algorithm for
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  /// finding a maximum flow having minimal total cost from a given
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  /// source node to a given target node in a directed graph.
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  ///
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  /// \ref MinCostMaxFlow uses \ref Preflow for finding the maximum
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  /// flow value and \ref NetworkSimplex for finding a minimum cost
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  /// flow of that value.
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  /// According to our benchmark tests \ref Preflow is generally the
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  /// most efficient algorithm for the maximum flow problem and
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  /// \ref NetworkSimplex is the most efficient for the minimum cost
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  /// flow problem in LEMON.
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  ///
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  /// \tparam Graph The directed graph type the algorithm runs on.
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  /// \tparam CapacityMap The type of the capacity (upper bound) map.
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  /// \tparam CostMap The type of the cost (length) map.
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  ///
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  /// \warning
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  /// - Edge capacities and costs should be \e non-negative \e integers.
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  /// - \c CapacityMap::Value must be convertible to \c CostMap::Value.
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  /// - \c CostMap::Value must be signed type.
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  ///
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  /// \author Peter Kovacs
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  template < typename Graph,
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             typename CapacityMap = typename Graph::template EdgeMap<int>,
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             typename CostMap = typename Graph::template EdgeMap<int> >
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  class MinCostMaxFlow
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  {
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    GRAPH_TYPEDEFS(typename Graph);
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    typedef typename CapacityMap::Value Capacity;
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    typedef typename CostMap::Value Cost;
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    typedef typename Graph::template NodeMap<Cost> SupplyMap;
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    typedef Preflow<Graph, CapacityMap> MaxFlowImpl;
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    typedef NetworkSimplex< Graph, CapacityMap, CapacityMap,
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                            CostMap, SupplyMap > MinCostFlowImpl;
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  public:
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    /// The type of the flow map.
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    typedef typename Graph::template EdgeMap<Capacity> FlowMap;
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    /// The type of the potential map.
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    typedef typename Graph::template NodeMap<Cost> PotentialMap;
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  private:
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    // The directed graph the algorithm runs on
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    const Graph &_graph;
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    // The capacity map
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    const CapacityMap &_capacity;
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    // The cost map
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    const CostMap &_cost;
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    // Edge map of the found flow
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    FlowMap *_flow;
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    bool _local_flow;
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    // Node map of the current potentials
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    PotentialMap *_potential;
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    bool _local_potential;
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    // The source node
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    Node _source;
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    // The target node
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    Node _target;
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  public:
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    /// \brief Constructor.
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    ///
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    /// Constructor.
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    ///
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    /// \param graph The directed graph the algorithm runs on.
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    /// \param capacity The capacities (upper bounds) of the edges.
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    /// \param cost The cost (length) values of the edges.
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    /// \param s The source node.
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    /// \param t The target node.
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    MinCostMaxFlow( const Graph &graph,
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                    const CapacityMap &capacity,
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                    const CostMap &cost,
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                    Node s, Node t ) :
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      _graph(graph), _capacity(capacity), _cost(cost), _flow(0),
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      _local_flow(false), _potential(0), _local_potential(false),
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      _source(s), _target(t) {}
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    /// Destructor.
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    ~MinCostMaxFlow() {
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      if (_local_flow) delete _flow;
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      if (_local_potential) delete _potential;
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    }
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    /// \brief Set the flow map.
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    ///
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    /// Set the flow map.
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    ///
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    /// \return \c (*this)
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    MinCostMaxFlow& flowMap(FlowMap &map) {
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      if (_local_flow) {
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        delete _flow;
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        _local_flow = false;
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      }
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      _flow = &map;
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      return *this;
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    }
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    /// \brief Set the potential map.
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    ///
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    /// Set the potential map.
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    ///
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    /// \return \c (*this)
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    MinCostMaxFlow& potentialMap(PotentialMap &map) {
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      if (_local_potential) {
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        delete _potential;
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        _local_potential = false;
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      }
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      _potential = &map;
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      return *this;
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    }
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    /// \name Execution control
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    /// @{
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    /// \brief Run the algorithm.
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    ///
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    /// Run the algorithm.
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    void run() {
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      // Initializing maps
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      if (!_flow) {
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        _flow = new FlowMap(_graph);
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        _local_flow = true;
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      }
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      if (!_potential) {
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        _potential = new PotentialMap(_graph);
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        _local_potential = true;
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      }
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      // Running Preflow
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      MaxFlowImpl preflow(_graph, _capacity, _source, _target);
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      preflow.flowMap(*_flow).runMinCut();
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      // Running NetworkSimplex
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      MinCostFlowImpl mcf( _graph, _capacity, _cost,
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                           _source, _target, preflow.flowValue() );
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      mcf.flowMap(*_flow).potentialMap(*_potential).run();
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    }
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    /// @}
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    /// \name Query Functions
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    /// The results of the algorithm can be obtained using these
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    /// functions.\n
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    /// \ref lemon::MinCostMaxFlow::run() "run()" must be called before
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    /// using them.
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    /// @{
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    /// \brief Return a const reference to the edge map storing the
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    /// found flow.
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    ///
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    /// Return a const reference to the edge map storing the found flow.
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    ///
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    /// \pre \ref run() must be called before using this function.
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    const FlowMap& flowMap() const {
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      return *_flow;
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    }
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    /// \brief Return a const reference to the node map storing the
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    /// found potentials (the dual solution).
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    ///
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    /// Return a const reference to the node map storing the found
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    /// potentials (the dual solution).
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    ///
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    /// \pre \ref run() must be called before using this function.
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    const PotentialMap& potentialMap() const {
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      return *_potential;
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    }
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    /// \brief Return the flow on the given edge.
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    ///
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    /// Return the flow on the given edge.
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    ///
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    /// \pre \ref run() must be called before using this function.
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    Capacity flow(const Edge& edge) const {
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      return (*_flow)[edge];
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    }
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    /// \brief Return the potential of the given node.
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    ///
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    /// Return the potential of the given node.
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    ///
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    /// \pre \ref run() must be called before using this function.
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    Cost potential(const Node& node) const {
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      return (*_potential)[node];
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    }
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    /// \brief Return the total cost of the found flow.
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    ///
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    /// Return the total cost of the found flow. The complexity of the
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    /// function is \f$ O(e) \f$.
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    ///
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    /// \pre \ref run() must be called before using this function.
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    Cost totalCost() const {
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      Cost c = 0;
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      for (EdgeIt e(_graph); e != INVALID; ++e)
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        c += (*_flow)[e] * _cost[e];
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      return c;
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    }
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    /// @}
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  }; //class MinCostMaxFlow
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  ///@}
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} //namespace lemon
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#endif //LEMON_MIN_COST_MAX_FLOW_H