lemon/min_cost_max_flow.h
author kpeter
Mon, 01 Jun 2009 15:35:27 +0000
changeset 2635 23570e368afa
parent 2587 061be2e64eca
permissions -rw-r--r--
XTI data structure for NS - backport hg commit [8c3112a66878]
     1 /* -*- C++ -*-
     2  *
     3  * This file is a part of LEMON, a generic C++ optimization library
     4  *
     5  * Copyright (C) 2003-2008
     6  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
     7  * (Egervary Research Group on Combinatorial Optimization, EGRES).
     8  *
     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.
    12  *
    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
    15  * purpose.
    16  *
    17  */
    18 
    19 #ifndef LEMON_MIN_COST_MAX_FLOW_H
    20 #define LEMON_MIN_COST_MAX_FLOW_H
    21 
    22 /// \ingroup min_cost_flow
    23 ///
    24 /// \file
    25 /// \brief An efficient algorithm for finding a minimum cost maximum flow.
    26 
    27 #include <lemon/preflow.h>
    28 #include <lemon/network_simplex.h>
    29 #include <lemon/maps.h>
    30 
    31 namespace lemon {
    32 
    33   /// \addtogroup min_cost_flow
    34   /// @{
    35 
    36   /// \brief An efficient algorithm for finding a minimum cost
    37   /// maximum flow.
    38   ///
    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.
    42   ///
    43   /// \ref MinCostMaxFlow uses \ref Preflow for finding the maximum
    44   /// flow value and \ref NetworkSimplex for finding a minimum cost
    45   /// flow of that value.
    46   /// According to our benchmark tests \ref Preflow is generally the
    47   /// most efficient algorithm for the maximum flow problem and
    48   /// \ref NetworkSimplex is the most efficient for the minimum cost
    49   /// flow problem in LEMON.
    50   ///
    51   /// \tparam Graph The directed graph type the algorithm runs on.
    52   /// \tparam CapacityMap The type of the capacity (upper bound) map.
    53   /// \tparam CostMap The type of the cost (length) map.
    54   ///
    55   /// \warning
    56   /// - Edge capacities and costs should be \e non-negative \e integers.
    57   /// - \c CapacityMap::Value must be convertible to \c CostMap::Value.
    58   /// - \c CostMap::Value must be signed type.
    59   ///
    60   /// \author Peter Kovacs
    61   template < typename Graph,
    62              typename CapacityMap = typename Graph::template EdgeMap<int>,
    63              typename CostMap = typename Graph::template EdgeMap<int> >
    64   class MinCostMaxFlow
    65   {
    66     GRAPH_TYPEDEFS(typename Graph);
    67 
    68     typedef typename CapacityMap::Value Capacity;
    69     typedef typename CostMap::Value Cost;
    70     typedef typename Graph::template NodeMap<Cost> SupplyMap;
    71 
    72     typedef Preflow<Graph, CapacityMap> MaxFlowImpl;
    73     typedef NetworkSimplex< Graph, CapacityMap, CapacityMap,
    74                             CostMap, SupplyMap > MinCostFlowImpl;
    75 
    76   public:
    77 
    78     /// The type of the flow map.
    79     typedef typename Graph::template EdgeMap<Capacity> FlowMap;
    80     /// The type of the potential map.
    81     typedef typename Graph::template NodeMap<Cost> PotentialMap;
    82 
    83   private:
    84 
    85     // The directed graph the algorithm runs on
    86     const Graph &_graph;
    87     // The capacity map
    88     const CapacityMap &_capacity;
    89     // The cost map
    90     const CostMap &_cost;
    91 
    92     // Edge map of the found flow
    93     FlowMap *_flow;
    94     bool _local_flow;
    95     // Node map of the current potentials
    96     PotentialMap *_potential;
    97     bool _local_potential;
    98 
    99     // The source node
   100     Node _source;
   101     // The target node
   102     Node _target;
   103 
   104   public:
   105 
   106     /// \brief Constructor.
   107     ///
   108     /// Constructor.
   109     ///
   110     /// \param graph The directed graph the algorithm runs on.
   111     /// \param capacity The capacities (upper bounds) of the edges.
   112     /// \param cost The cost (length) values of the edges.
   113     /// \param s The source node.
   114     /// \param t The target node.
   115     MinCostMaxFlow( const Graph &graph,
   116                     const CapacityMap &capacity,
   117                     const CostMap &cost,
   118                     Node s, Node t ) :
   119       _graph(graph), _capacity(capacity), _cost(cost), _flow(0),
   120       _local_flow(false), _potential(0), _local_potential(false),
   121       _source(s), _target(t) {}
   122 
   123     /// Destructor.
   124     ~MinCostMaxFlow() {
   125       if (_local_flow) delete _flow;
   126       if (_local_potential) delete _potential;
   127     }
   128 
   129     /// \brief Set the flow map.
   130     ///
   131     /// Set the flow map.
   132     ///
   133     /// \return \c (*this)
   134     MinCostMaxFlow& flowMap(FlowMap &map) {
   135       if (_local_flow) {
   136         delete _flow;
   137         _local_flow = false;
   138       }
   139       _flow = &map;
   140       return *this;
   141     }
   142 
   143     /// \brief Set the potential map.
   144     ///
   145     /// Set the potential map.
   146     ///
   147     /// \return \c (*this)
   148     MinCostMaxFlow& potentialMap(PotentialMap &map) {
   149       if (_local_potential) {
   150         delete _potential;
   151         _local_potential = false;
   152       }
   153       _potential = &map;
   154       return *this;
   155     }
   156 
   157     /// \name Execution control
   158 
   159     /// @{
   160 
   161     /// \brief Run the algorithm.
   162     ///
   163     /// Run the algorithm.
   164     void run() {
   165       // Initializing maps
   166       if (!_flow) {
   167         _flow = new FlowMap(_graph);
   168         _local_flow = true;
   169       }
   170       if (!_potential) {
   171         _potential = new PotentialMap(_graph);
   172         _local_potential = true;
   173       }
   174       // Running Preflow
   175       MaxFlowImpl preflow(_graph, _capacity, _source, _target);
   176       preflow.flowMap(*_flow).runMinCut();
   177       // Running NetworkSimplex
   178       MinCostFlowImpl mcf( _graph, _capacity, _cost,
   179                            _source, _target, preflow.flowValue() );
   180       mcf.flowMap(*_flow).potentialMap(*_potential).run();
   181     }
   182 
   183     /// @}
   184 
   185     /// \name Query Functions
   186     /// The results of the algorithm can be obtained using these
   187     /// functions.\n
   188     /// \ref lemon::MinCostMaxFlow::run() "run()" must be called before
   189     /// using them.
   190 
   191     /// @{
   192 
   193     /// \brief Return a const reference to the edge map storing the
   194     /// found flow.
   195     ///
   196     /// Return a const reference to the edge map storing the found flow.
   197     ///
   198     /// \pre \ref run() must be called before using this function.
   199     const FlowMap& flowMap() const {
   200       return *_flow;
   201     }
   202 
   203     /// \brief Return a const reference to the node map storing the
   204     /// found potentials (the dual solution).
   205     ///
   206     /// Return a const reference to the node map storing the found
   207     /// potentials (the dual solution).
   208     ///
   209     /// \pre \ref run() must be called before using this function.
   210     const PotentialMap& potentialMap() const {
   211       return *_potential;
   212     }
   213 
   214     /// \brief Return the flow on the given edge.
   215     ///
   216     /// Return the flow on the given edge.
   217     ///
   218     /// \pre \ref run() must be called before using this function.
   219     Capacity flow(const Edge& edge) const {
   220       return (*_flow)[edge];
   221     }
   222 
   223     /// \brief Return the potential of the given node.
   224     ///
   225     /// Return the potential of the given node.
   226     ///
   227     /// \pre \ref run() must be called before using this function.
   228     Cost potential(const Node& node) const {
   229       return (*_potential)[node];
   230     }
   231 
   232     /// \brief Return the total cost of the found flow.
   233     ///
   234     /// Return the total cost of the found flow. The complexity of the
   235     /// function is \f$ O(e) \f$.
   236     ///
   237     /// \pre \ref run() must be called before using this function.
   238     Cost totalCost() const {
   239       Cost c = 0;
   240       for (EdgeIt e(_graph); e != INVALID; ++e)
   241         c += (*_flow)[e] * _cost[e];
   242       return c;
   243     }
   244 
   245     /// @}
   246 
   247   }; //class MinCostMaxFlow
   248 
   249   ///@}
   250 
   251 } //namespace lemon
   252 
   253 #endif //LEMON_MIN_COST_MAX_FLOW_H