src/lemon/preflow.h
author athos
Tue, 22 Mar 2005 12:02:29 +0000
changeset 1241 dadc9987c537
parent 1222 a3fb216a267d
child 1285 bf1840562c67
permissions -rw-r--r--
Modified a bit.
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/* -*- C++ -*-
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 * src/lemon/preflow.h - Part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2005 Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Combinatorial Optimization Research Group, 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_PREFLOW_H
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#define LEMON_PREFLOW_H
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#include <vector>
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#include <queue>
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#include <lemon/invalid.h>
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#include <lemon/maps.h>
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#include <lemon/graph_utils.h>
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/// \file
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/// \ingroup flowalgs
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/// Implementation of the preflow algorithm.
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namespace lemon {
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  /// \addtogroup flowalgs
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  /// @{                                                   
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  ///%Preflow algorithms class.
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  ///This class provides an implementation of the \e preflow \e
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  ///algorithm producing a flow of maximum value in a directed
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  ///graph. The preflow algorithms are the fastest known max flow algorithms
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  ///up to now. The \e source node, the \e target node, the \e
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  ///capacity of the edges and the \e starting \e flow value of the
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  ///edges should be passed to the algorithm through the
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  ///constructor. It is possible to change these quantities using the
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  ///functions \ref source, \ref target, \ref setCap and \ref
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  ///setFlow.
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  ///
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  ///After running \ref lemon::Preflow::phase1() "phase1()"
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  ///or \ref lemon::Preflow::run() "run()", the maximal flow
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  ///value can be obtained by calling \ref flowValue(). The minimum
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  ///value cut can be written into a <tt>bool</tt> node map by
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  ///calling \ref minCut(). (\ref minMinCut() and \ref maxMinCut() writes
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  ///the inclusionwise minimum and maximum of the minimum value cuts,
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  ///resp.)
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  ///
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  ///\param Graph The directed graph type the algorithm runs on.
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  ///\param Num The number type of the capacities and the flow values.
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  ///\param CapacityMap The capacity map type.
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  ///\param FlowMap The flow map type.
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  ///
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  ///\author Jacint Szabo 
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  ///\todo Second template parameter is superfluous
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  template <typename Graph, typename Num,
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	    typename CapacityMap=typename Graph::template EdgeMap<Num>,
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            typename FlowMap=typename Graph::template EdgeMap<Num> >
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  class Preflow {
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  protected:
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    typedef typename Graph::Node Node;
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    typedef typename Graph::NodeIt NodeIt;
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    typedef typename Graph::EdgeIt EdgeIt;
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    typedef typename Graph::OutEdgeIt OutEdgeIt;
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    typedef typename Graph::InEdgeIt InEdgeIt;
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    typedef typename Graph::template NodeMap<Node> NNMap;
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    typedef typename std::vector<Node> VecNode;
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    const Graph* _g;
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    Node _source;
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    Node _target;
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    const CapacityMap* _capacity;
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    FlowMap* _flow;
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    int _node_num;      //the number of nodes of G
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    typename Graph::template NodeMap<int> level;  
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    typename Graph::template NodeMap<Num> excess;
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    // constants used for heuristics
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    static const int H0=20;
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    static const int H1=1;
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    public:
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    ///Indicates the property of the starting flow map.
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    ///Indicates the property of the starting flow map.
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    ///The meanings are as follows:
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    ///- \c ZERO_FLOW: constant zero flow
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    ///- \c GEN_FLOW: any flow, i.e. the sum of the in-flows equals to
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    ///the sum of the out-flows in every node except the \e source and
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    ///the \e target.
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    ///- \c PRE_FLOW: any preflow, i.e. the sum of the in-flows is at 
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    ///least the sum of the out-flows in every node except the \e source.
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    ///- \c NO_FLOW: indicates an unspecified edge map. \c flow will be 
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    ///set to the constant zero flow in the beginning of
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    ///the algorithm in this case.
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    ///
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    enum FlowEnum{
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      NO_FLOW,
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      ZERO_FLOW,
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      GEN_FLOW,
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      PRE_FLOW
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    };
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    ///Indicates the state of the preflow algorithm.
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    ///Indicates the state of the preflow algorithm.
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    ///The meanings are as follows:
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    ///- \c AFTER_NOTHING: before running the algorithm or
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    ///  at an unspecified state.
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    ///- \c AFTER_PREFLOW_PHASE_1: right after running \c phase1
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    ///- \c AFTER_PREFLOW_PHASE_2: after running \ref phase2()
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    ///
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    enum StatusEnum {
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      AFTER_NOTHING,
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      AFTER_PREFLOW_PHASE_1,      
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      AFTER_PREFLOW_PHASE_2
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    };
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    protected: 
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      FlowEnum flow_prop;
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    StatusEnum status; // Do not needle this flag only if necessary.
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  public: 
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    ///The constructor of the class.
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    ///The constructor of the class. 
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    ///\param _G The directed graph the algorithm runs on. 
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    ///\param _s The source node.
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    ///\param _t The target node.
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    ///\param _cap The capacity of the edges. 
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    ///\param _f The flow of the edges. 
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    ///Except the graph, all of these parameters can be reset by
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    ///calling \ref source, \ref target, \ref setCap and \ref
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    ///setFlow, resp.
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      Preflow(const Graph& _gr, Node _s, Node _t, 
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	      const CapacityMap& _cap, FlowMap& _f) :
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	_g(&_gr), _source(_s), _target(_t), _capacity(&_cap),
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	_flow(&_f), _node_num(countNodes(_gr)), level(_gr), excess(_gr,0), 
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	flow_prop(NO_FLOW), status(AFTER_NOTHING) { }
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    ///Runs the preflow algorithm.  
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    ///Runs the preflow algorithm.
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    ///
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    void run() {
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      phase1(flow_prop);
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      phase2();
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    }
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    ///Runs the preflow algorithm.  
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    ///Runs the preflow algorithm. 
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    ///\pre The starting flow map must be
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    /// - a constant zero flow if \c fp is \c ZERO_FLOW,
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    /// - an arbitrary flow if \c fp is \c GEN_FLOW,
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    /// - an arbitrary preflow if \c fp is \c PRE_FLOW,
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    /// - any map if \c fp is NO_FLOW.
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    ///If the starting flow map is a flow or a preflow then 
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    ///the algorithm terminates faster.
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    void run(FlowEnum fp) {
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      flow_prop=fp;
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      run();
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    }
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    ///Runs the first phase of the preflow algorithm.
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    ///The preflow algorithm consists of two phases, this method runs
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    ///the first phase. After the first phase the maximum flow value
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    ///and a minimum value cut can already be computed, though a
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    ///maximum flow is not yet obtained. So after calling this method
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    ///\ref flowValue returns the value of a maximum flow and \ref
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    ///minCut returns a minimum cut.     
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    ///\warning \ref minMinCut and \ref maxMinCut do not give minimum
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    ///value cuts unless calling \ref phase2.  
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    ///\pre The starting flow must be 
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    ///- a constant zero flow if \c fp is \c ZERO_FLOW, 
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    ///- an arbitary flow if \c fp is \c GEN_FLOW, 
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    ///- an arbitary preflow if \c fp is \c PRE_FLOW, 
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    ///- any map if \c fp is NO_FLOW.
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    void phase1(FlowEnum fp)
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    {
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      flow_prop=fp;
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      phase1();
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    }
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    ///Runs the first phase of the preflow algorithm.
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    ///The preflow algorithm consists of two phases, this method runs
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    ///the first phase. After the first phase the maximum flow value
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    ///and a minimum value cut can already be computed, though a
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    ///maximum flow is not yet obtained. So after calling this method
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    ///\ref flowValue returns the value of a maximum flow and \ref
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    ///minCut returns a minimum cut.
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    ///\warning \ref minCut(), \ref minMinCut() and \ref maxMinCut() do not
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    ///give minimum value cuts unless calling \ref phase2().
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    void phase1()
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    {
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      int heur0=(int)(H0*_node_num);  //time while running 'bound decrease'
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      int heur1=(int)(H1*_node_num);  //time while running 'highest label'
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      int heur=heur1;         //starting time interval (#of relabels)
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      int numrelabel=0;
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      bool what_heur=1;
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      //It is 0 in case 'bound decrease' and 1 in case 'highest label'
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      bool end=false;
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      //Needed for 'bound decrease', true means no active 
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      //nodes are above bound b.
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      int k=_node_num-2;  //bound on the highest level under n containing a node
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      int b=k;    //bound on the highest level under n of an active node
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      VecNode first(_node_num, INVALID);
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      NNMap next(*_g, INVALID);
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      NNMap left(*_g, INVALID);
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      NNMap right(*_g, INVALID);
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      VecNode level_list(_node_num,INVALID);
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      //List of the nodes in level i<n, set to n.
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      preflowPreproc(first, next, level_list, left, right);
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      //Push/relabel on the highest level active nodes.
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      while ( true ) {
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	if ( b == 0 ) {
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	  if ( !what_heur && !end && k > 0 ) {
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	    b=k;
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	    end=true;
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	  } else break;
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	}
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	if ( first[b]==INVALID ) --b;
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	else {
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	  end=false;
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	  Node w=first[b];
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	  first[b]=next[w];
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	  int newlevel=push(w, next, first);
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	  if ( excess[w] > 0 ) relabel(w, newlevel, first, next, level_list, 
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				       left, right, b, k, what_heur);
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	  ++numrelabel;
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	  if ( numrelabel >= heur ) {
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	    numrelabel=0;
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	    if ( what_heur ) {
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	      what_heur=0;
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	      heur=heur0;
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	      end=false;
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	    } else {
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	      what_heur=1;
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	      heur=heur1;
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	      b=k;
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	    }
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	  }
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	}
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      }
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      flow_prop=PRE_FLOW;
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      status=AFTER_PREFLOW_PHASE_1;
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    }
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    // Heuristics:
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    //   2 phase
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    //   gap
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    //   list 'level_list' on the nodes on level i implemented by hand
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    //   stack 'active' on the active nodes on level i      
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    //   runs heuristic 'highest label' for H1*n relabels
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    //   runs heuristic 'bound decrease' for H0*n relabels,
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    //        starts with 'highest label'
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    //   Parameters H0 and H1 are initialized to 20 and 1.
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    ///Runs the second phase of the preflow algorithm.
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    ///The preflow algorithm consists of two phases, this method runs
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    ///the second phase. After calling \ref phase1 and then \ref
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    ///phase2, \ref flow contains a maximum flow, \ref flowValue
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    ///returns the value of a maximum flow, \ref minCut returns a
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    ///minimum cut, while the methods \ref minMinCut and \ref
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    ///maxMinCut return the inclusionwise minimum and maximum cuts of
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    ///minimum value, resp.  \pre \ref phase1 must be called before.
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    void phase2()
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    {
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      int k=_node_num-2;  //bound on the highest level under n containing a node
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      int b=k;    //bound on the highest level under n of an active node
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      VecNode first(_node_num, INVALID);
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      NNMap next(*_g, INVALID); 
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      level.set(_source,0);
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      std::queue<Node> bfs_queue;
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      bfs_queue.push(_source);
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      while ( !bfs_queue.empty() ) {
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	Node v=bfs_queue.front();
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	bfs_queue.pop();
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	int l=level[v]+1;
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	for(InEdgeIt e(*_g,v); e!=INVALID; ++e) {
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	  if ( (*_capacity)[e] <= (*_flow)[e] ) continue;
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	  Node u=_g->source(e);
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	  if ( level[u] >= _node_num ) {
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	    bfs_queue.push(u);
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	    level.set(u, l);
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	    if ( excess[u] > 0 ) {
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	      next.set(u,first[l]);
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	      first[l]=u;
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	    }
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	  }
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	}
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	for(OutEdgeIt e(*_g,v); e!=INVALID; ++e) {
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	  if ( 0 >= (*_flow)[e] ) continue;
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	  Node u=_g->target(e);
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	  if ( level[u] >= _node_num ) {
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	    bfs_queue.push(u);
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	    level.set(u, l);
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	    if ( excess[u] > 0 ) {
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	      next.set(u,first[l]);
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	      first[l]=u;
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	    }
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	  }
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	}
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      }
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      b=_node_num-2;
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      while ( true ) {
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	if ( b == 0 ) break;
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	if ( first[b]==INVALID ) --b;
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	else {
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	  Node w=first[b];
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	  first[b]=next[w];
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	  int newlevel=push(w,next, first);
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	  //relabel
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	  if ( excess[w] > 0 ) {
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	    level.set(w,++newlevel);
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	    next.set(w,first[newlevel]);
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	    first[newlevel]=w;
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	    b=newlevel;
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	  }
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	} 
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      } // while(true)
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      flow_prop=GEN_FLOW;
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      status=AFTER_PREFLOW_PHASE_2;
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    }
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    /// Returns the value of the maximum flow.
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    /// Returns the value of the maximum flow by returning the excess
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    /// of the target node \c t. This value equals to the value of
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    /// the maximum flow already after running \ref phase1.
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    Num flowValue() const {
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      return excess[_target];
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    }
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    ///Returns a minimum value cut.
jacint@836
   372
jacint@836
   373
    ///Sets \c M to the characteristic vector of a minimum value
jacint@836
   374
    ///cut. This method can be called both after running \ref
jacint@836
   375
    ///phase1 and \ref phase2. It is much faster after
marci@849
   376
    ///\ref phase1.  \pre M should be a bool-valued node-map. \pre
alpar@911
   377
    ///If \ref minCut() is called after \ref phase2() then M should
jacint@836
   378
    ///be initialized to false.
jacint@836
   379
    template<typename _CutMap>
jacint@836
   380
    void minCut(_CutMap& M) const {
jacint@836
   381
      switch ( status ) {
jacint@836
   382
	case AFTER_PREFLOW_PHASE_1:
alpar@1222
   383
	for(NodeIt v(*_g); v!=INVALID; ++v) {
alpar@1222
   384
	  if (level[v] < _node_num) {
jacint@836
   385
	    M.set(v, false);
jacint@836
   386
	  } else {
jacint@836
   387
	    M.set(v, true);
jacint@836
   388
	  }
jacint@836
   389
	}
jacint@836
   390
	break;
jacint@836
   391
	case AFTER_PREFLOW_PHASE_2:
jacint@836
   392
	minMinCut(M);
jacint@836
   393
	break;
jacint@836
   394
	case AFTER_NOTHING:
jacint@836
   395
	break;
jacint@836
   396
      }
jacint@836
   397
    }
jacint@836
   398
jacint@836
   399
    ///Returns the inclusionwise minimum of the minimum value cuts.
jacint@836
   400
jacint@836
   401
    ///Sets \c M to the characteristic vector of the minimum value cut
jacint@836
   402
    ///which is inclusionwise minimum. It is computed by processing a
jacint@836
   403
    ///bfs from the source node \c s in the residual graph.  \pre M
jacint@836
   404
    ///should be a node map of bools initialized to false.  \pre \ref
jacint@836
   405
    ///phase2 should already be run.
jacint@836
   406
    template<typename _CutMap>
jacint@836
   407
    void minMinCut(_CutMap& M) const {
jacint@836
   408
jacint@836
   409
      std::queue<Node> queue;
alpar@1222
   410
      M.set(_source,true);
alpar@1227
   411
      queue.push(_source);
jacint@836
   412
      
jacint@836
   413
      while (!queue.empty()) {
jacint@836
   414
	Node w=queue.front();
jacint@836
   415
	queue.pop();
jacint@836
   416
	
alpar@1222
   417
	for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
alpar@1222
   418
	  Node v=_g->target(e);
alpar@1222
   419
	  if (!M[v] && (*_flow)[e] < (*_capacity)[e] ) {
jacint@836
   420
	    queue.push(v);
jacint@836
   421
	    M.set(v, true);
jacint@836
   422
	  }
jacint@836
   423
	}
jacint@836
   424
	
alpar@1222
   425
	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
alpar@1222
   426
	  Node v=_g->source(e);
alpar@1222
   427
	  if (!M[v] && (*_flow)[e] > 0 ) {
jacint@836
   428
	    queue.push(v);
jacint@836
   429
	    M.set(v, true);
jacint@836
   430
	  }
jacint@836
   431
	}
jacint@836
   432
      }
jacint@836
   433
    }
jacint@836
   434
    
jacint@836
   435
    ///Returns the inclusionwise maximum of the minimum value cuts.
jacint@836
   436
jacint@836
   437
    ///Sets \c M to the characteristic vector of the minimum value cut
jacint@836
   438
    ///which is inclusionwise maximum. It is computed by processing a
jacint@836
   439
    ///backward bfs from the target node \c t in the residual graph.
alpar@911
   440
    ///\pre \ref phase2() or run() should already be run.
jacint@836
   441
    template<typename _CutMap>
jacint@836
   442
    void maxMinCut(_CutMap& M) const {
jacint@836
   443
alpar@1222
   444
      for(NodeIt v(*_g) ; v!=INVALID; ++v) M.set(v, true);
jacint@836
   445
jacint@836
   446
      std::queue<Node> queue;
jacint@836
   447
alpar@1222
   448
      M.set(_target,false);
alpar@1222
   449
      queue.push(_target);
jacint@836
   450
jacint@836
   451
      while (!queue.empty()) {
jacint@836
   452
        Node w=queue.front();
jacint@836
   453
	queue.pop();
jacint@836
   454
alpar@1222
   455
	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
alpar@1222
   456
	  Node v=_g->source(e);
alpar@1222
   457
	  if (M[v] && (*_flow)[e] < (*_capacity)[e] ) {
jacint@836
   458
	    queue.push(v);
jacint@836
   459
	    M.set(v, false);
jacint@836
   460
	  }
jacint@836
   461
	}
jacint@836
   462
alpar@1222
   463
	for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
alpar@1222
   464
	  Node v=_g->target(e);
alpar@1222
   465
	  if (M[v] && (*_flow)[e] > 0 ) {
jacint@836
   466
	    queue.push(v);
jacint@836
   467
	    M.set(v, false);
jacint@836
   468
	  }
jacint@836
   469
	}
jacint@836
   470
      }
jacint@836
   471
    }
jacint@836
   472
jacint@836
   473
    ///Sets the source node to \c _s.
jacint@836
   474
jacint@836
   475
    ///Sets the source node to \c _s.
jacint@836
   476
    /// 
alpar@1222
   477
    void source(Node _s) { 
alpar@1222
   478
      _source=_s; 
jacint@836
   479
      if ( flow_prop != ZERO_FLOW ) flow_prop=NO_FLOW;
jacint@836
   480
      status=AFTER_NOTHING; 
jacint@836
   481
    }
jacint@836
   482
alpar@1222
   483
    ///Returns the source node.
alpar@1222
   484
alpar@1222
   485
    ///Returns the source node.
alpar@1222
   486
    /// 
alpar@1222
   487
    Node source() const { 
alpar@1222
   488
      return _source;
alpar@1222
   489
    }
alpar@1222
   490
jacint@836
   491
    ///Sets the target node to \c _t.
jacint@836
   492
jacint@836
   493
    ///Sets the target node to \c _t.
jacint@836
   494
    ///
alpar@1222
   495
    void target(Node _t) { 
alpar@1222
   496
      _target=_t; 
jacint@836
   497
      if ( flow_prop == GEN_FLOW ) flow_prop=PRE_FLOW;
jacint@836
   498
      status=AFTER_NOTHING; 
jacint@836
   499
    }
jacint@836
   500
alpar@1222
   501
    ///Returns the target node.
alpar@1222
   502
alpar@1222
   503
    ///Returns the target node.
alpar@1222
   504
    /// 
alpar@1222
   505
    Node target() const { 
alpar@1222
   506
      return _target;
alpar@1222
   507
    }
alpar@1222
   508
jacint@836
   509
    /// Sets the edge map of the capacities to _cap.
jacint@836
   510
jacint@836
   511
    /// Sets the edge map of the capacities to _cap.
jacint@836
   512
    /// 
alpar@1222
   513
    void capacityMap(const CapacityMap& _cap) { 
alpar@1222
   514
      _capacity=&_cap; 
jacint@836
   515
      status=AFTER_NOTHING; 
jacint@836
   516
    }
alpar@1222
   517
    /// Returns a reference to to capacity map.
alpar@1222
   518
alpar@1222
   519
    /// Returns a reference to to capacity map.
alpar@1222
   520
    /// 
alpar@1222
   521
    const CapacityMap &capacityMap() const { 
alpar@1222
   522
      return *_capacity;
alpar@1222
   523
    }
jacint@836
   524
jacint@836
   525
    /// Sets the edge map of the flows to _flow.
jacint@836
   526
jacint@836
   527
    /// Sets the edge map of the flows to _flow.
jacint@836
   528
    /// 
alpar@1222
   529
    void flowMap(FlowMap& _f) { 
alpar@1222
   530
      _flow=&_f; 
jacint@836
   531
      flow_prop=NO_FLOW;
jacint@836
   532
      status=AFTER_NOTHING; 
jacint@836
   533
    }
alpar@1222
   534
     
alpar@1222
   535
    /// Returns a reference to to flow map.
jacint@836
   536
alpar@1222
   537
    /// Returns a reference to to flow map.
alpar@1222
   538
    /// 
alpar@1222
   539
    const FlowMap &flowMap() const { 
alpar@1222
   540
      return *_flow;
alpar@1222
   541
    }
jacint@836
   542
jacint@836
   543
  private:
jacint@836
   544
jacint@836
   545
    int push(Node w, NNMap& next, VecNode& first) {
jacint@836
   546
jacint@836
   547
      int lev=level[w];
jacint@836
   548
      Num exc=excess[w];
alpar@1222
   549
      int newlevel=_node_num;       //bound on the next level of w
jacint@836
   550
alpar@1222
   551
      for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
alpar@1222
   552
	if ( (*_flow)[e] >= (*_capacity)[e] ) continue;
alpar@1222
   553
	Node v=_g->target(e);
jacint@836
   554
jacint@836
   555
	if( lev > level[v] ) { //Push is allowed now
jacint@836
   556
	  
alpar@1222
   557
	  if ( excess[v]<=0 && v!=_target && v!=_source ) {
jacint@836
   558
	    next.set(v,first[level[v]]);
jacint@836
   559
	    first[level[v]]=v;
jacint@836
   560
	  }
jacint@836
   561
alpar@1222
   562
	  Num cap=(*_capacity)[e];
alpar@1222
   563
	  Num flo=(*_flow)[e];
jacint@836
   564
	  Num remcap=cap-flo;
jacint@836
   565
	  
jacint@836
   566
	  if ( remcap >= exc ) { //A nonsaturating push.
jacint@836
   567
	    
alpar@1222
   568
	    _flow->set(e, flo+exc);
jacint@836
   569
	    excess.set(v, excess[v]+exc);
jacint@836
   570
	    exc=0;
jacint@836
   571
	    break;
jacint@836
   572
jacint@836
   573
	  } else { //A saturating push.
alpar@1222
   574
	    _flow->set(e, cap);
jacint@836
   575
	    excess.set(v, excess[v]+remcap);
jacint@836
   576
	    exc-=remcap;
jacint@836
   577
	  }
jacint@836
   578
	} else if ( newlevel > level[v] ) newlevel = level[v];
jacint@836
   579
      } //for out edges wv
jacint@836
   580
jacint@836
   581
      if ( exc > 0 ) {
alpar@1222
   582
	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
jacint@836
   583
	  
alpar@1222
   584
	  if( (*_flow)[e] <= 0 ) continue;
alpar@1222
   585
	  Node v=_g->source(e);
jacint@836
   586
jacint@836
   587
	  if( lev > level[v] ) { //Push is allowed now
jacint@836
   588
alpar@1222
   589
	    if ( excess[v]<=0 && v!=_target && v!=_source ) {
jacint@836
   590
	      next.set(v,first[level[v]]);
jacint@836
   591
	      first[level[v]]=v;
jacint@836
   592
	    }
jacint@836
   593
alpar@1222
   594
	    Num flo=(*_flow)[e];
jacint@836
   595
jacint@836
   596
	    if ( flo >= exc ) { //A nonsaturating push.
jacint@836
   597
alpar@1222
   598
	      _flow->set(e, flo-exc);
jacint@836
   599
	      excess.set(v, excess[v]+exc);
jacint@836
   600
	      exc=0;
jacint@836
   601
	      break;
jacint@836
   602
	    } else {  //A saturating push.
jacint@836
   603
jacint@836
   604
	      excess.set(v, excess[v]+flo);
jacint@836
   605
	      exc-=flo;
alpar@1222
   606
	      _flow->set(e,0);
jacint@836
   607
	    }
jacint@836
   608
	  } else if ( newlevel > level[v] ) newlevel = level[v];
jacint@836
   609
	} //for in edges vw
jacint@836
   610
jacint@836
   611
      } // if w still has excess after the out edge for cycle
jacint@836
   612
jacint@836
   613
      excess.set(w, exc);
jacint@836
   614
      
jacint@836
   615
      return newlevel;
jacint@836
   616
    }
jacint@836
   617
    
jacint@836
   618
    
jacint@836
   619
    
jacint@836
   620
    void preflowPreproc(VecNode& first, NNMap& next, 
jacint@836
   621
			VecNode& level_list, NNMap& left, NNMap& right)
jacint@836
   622
    {
alpar@1222
   623
      for(NodeIt v(*_g); v!=INVALID; ++v) level.set(v,_node_num);
jacint@836
   624
      std::queue<Node> bfs_queue;
jacint@836
   625
      
jacint@836
   626
      if ( flow_prop == GEN_FLOW || flow_prop == PRE_FLOW ) {
jacint@836
   627
	//Reverse_bfs from t in the residual graph,
jacint@836
   628
	//to find the starting level.
alpar@1222
   629
	level.set(_target,0);
alpar@1222
   630
	bfs_queue.push(_target);
jacint@836
   631
	
jacint@836
   632
	while ( !bfs_queue.empty() ) {
jacint@836
   633
	  
jacint@836
   634
	  Node v=bfs_queue.front();
jacint@836
   635
	  bfs_queue.pop();
jacint@836
   636
	  int l=level[v]+1;
jacint@836
   637
	  
alpar@1222
   638
	  for(InEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
alpar@1222
   639
	    if ( (*_capacity)[e] <= (*_flow)[e] ) continue;
alpar@1222
   640
	    Node w=_g->source(e);
alpar@1222
   641
	    if ( level[w] == _node_num && w != _source ) {
jacint@836
   642
	      bfs_queue.push(w);
jacint@836
   643
	      Node z=level_list[l];
jacint@836
   644
	      if ( z!=INVALID ) left.set(z,w);
jacint@836
   645
	      right.set(w,z);
jacint@836
   646
	      level_list[l]=w;
jacint@836
   647
	      level.set(w, l);
jacint@836
   648
	    }
jacint@836
   649
	  }
jacint@836
   650
	  
alpar@1222
   651
	  for(OutEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
alpar@1222
   652
	    if ( 0 >= (*_flow)[e] ) continue;
alpar@1222
   653
	    Node w=_g->target(e);
alpar@1222
   654
	    if ( level[w] == _node_num && w != _source ) {
jacint@836
   655
	      bfs_queue.push(w);
jacint@836
   656
	      Node z=level_list[l];
jacint@836
   657
	      if ( z!=INVALID ) left.set(z,w);
jacint@836
   658
	      right.set(w,z);
jacint@836
   659
	      level_list[l]=w;
jacint@836
   660
	      level.set(w, l);
jacint@836
   661
	    }
jacint@836
   662
	  }
jacint@836
   663
	} //while
jacint@836
   664
      } //if
jacint@836
   665
jacint@836
   666
jacint@836
   667
      switch (flow_prop) {
jacint@836
   668
	case NO_FLOW:  
alpar@1222
   669
	for(EdgeIt e(*_g); e!=INVALID; ++e) _flow->set(e,0);
jacint@836
   670
	case ZERO_FLOW:
alpar@1222
   671
	for(NodeIt v(*_g); v!=INVALID; ++v) excess.set(v,0);
jacint@836
   672
	
jacint@836
   673
	//Reverse_bfs from t, to find the starting level.
alpar@1222
   674
	level.set(_target,0);
alpar@1222
   675
	bfs_queue.push(_target);
jacint@836
   676
	
jacint@836
   677
	while ( !bfs_queue.empty() ) {
jacint@836
   678
	  
jacint@836
   679
	  Node v=bfs_queue.front();
jacint@836
   680
	  bfs_queue.pop();
jacint@836
   681
	  int l=level[v]+1;
jacint@836
   682
	  
alpar@1222
   683
	  for(InEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
alpar@1222
   684
	    Node w=_g->source(e);
alpar@1222
   685
	    if ( level[w] == _node_num && w != _source ) {
jacint@836
   686
	      bfs_queue.push(w);
jacint@836
   687
	      Node z=level_list[l];
jacint@836
   688
	      if ( z!=INVALID ) left.set(z,w);
jacint@836
   689
	      right.set(w,z);
jacint@836
   690
	      level_list[l]=w;
jacint@836
   691
	      level.set(w, l);
jacint@836
   692
	    }
jacint@836
   693
	  }
jacint@836
   694
	}
jacint@836
   695
	
jacint@836
   696
	//the starting flow
alpar@1222
   697
	for(OutEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
alpar@1222
   698
	  Num c=(*_capacity)[e];
jacint@836
   699
	  if ( c <= 0 ) continue;
alpar@1222
   700
	  Node w=_g->target(e);
alpar@1222
   701
	  if ( level[w] < _node_num ) {
alpar@1222
   702
	    if ( excess[w] <= 0 && w!=_target ) { //putting into the stack
jacint@836
   703
	      next.set(w,first[level[w]]);
jacint@836
   704
	      first[level[w]]=w;
jacint@836
   705
	    }
alpar@1222
   706
	    _flow->set(e, c);
jacint@836
   707
	    excess.set(w, excess[w]+c);
jacint@836
   708
	  }
jacint@836
   709
	}
jacint@836
   710
	break;
jacint@836
   711
jacint@836
   712
	case GEN_FLOW:
alpar@1222
   713
	for(NodeIt v(*_g); v!=INVALID; ++v) excess.set(v,0);
jacint@836
   714
	{
jacint@836
   715
	  Num exc=0;
alpar@1222
   716
	  for(InEdgeIt e(*_g,_target) ; e!=INVALID; ++e) exc+=(*_flow)[e];
alpar@1222
   717
	  for(OutEdgeIt e(*_g,_target) ; e!=INVALID; ++e) exc-=(*_flow)[e];
alpar@1222
   718
	  excess.set(_target,exc);
jacint@836
   719
	}
jacint@836
   720
jacint@836
   721
	//the starting flow
alpar@1222
   722
	for(OutEdgeIt e(*_g,_source); e!=INVALID; ++e)	{
alpar@1222
   723
	  Num rem=(*_capacity)[e]-(*_flow)[e];
jacint@836
   724
	  if ( rem <= 0 ) continue;
alpar@1222
   725
	  Node w=_g->target(e);
alpar@1222
   726
	  if ( level[w] < _node_num ) {
alpar@1222
   727
	    if ( excess[w] <= 0 && w!=_target ) { //putting into the stack
jacint@836
   728
	      next.set(w,first[level[w]]);
jacint@836
   729
	      first[level[w]]=w;
jacint@836
   730
	    }   
alpar@1222
   731
	    _flow->set(e, (*_capacity)[e]);
jacint@836
   732
	    excess.set(w, excess[w]+rem);
jacint@836
   733
	  }
jacint@836
   734
	}
jacint@836
   735
	
alpar@1222
   736
	for(InEdgeIt e(*_g,_source); e!=INVALID; ++e) {
alpar@1222
   737
	  if ( (*_flow)[e] <= 0 ) continue;
alpar@1222
   738
	  Node w=_g->source(e);
alpar@1222
   739
	  if ( level[w] < _node_num ) {
alpar@1222
   740
	    if ( excess[w] <= 0 && w!=_target ) {
jacint@836
   741
	      next.set(w,first[level[w]]);
jacint@836
   742
	      first[level[w]]=w;
jacint@836
   743
	    }  
alpar@1222
   744
	    excess.set(w, excess[w]+(*_flow)[e]);
alpar@1222
   745
	    _flow->set(e, 0);
jacint@836
   746
	  }
jacint@836
   747
	}
jacint@836
   748
	break;
jacint@836
   749
jacint@836
   750
	case PRE_FLOW:	
jacint@836
   751
	//the starting flow
alpar@1222
   752
	for(OutEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
alpar@1222
   753
	  Num rem=(*_capacity)[e]-(*_flow)[e];
jacint@836
   754
	  if ( rem <= 0 ) continue;
alpar@1222
   755
	  Node w=_g->target(e);
alpar@1222
   756
	  if ( level[w] < _node_num ) _flow->set(e, (*_capacity)[e]);
jacint@836
   757
	}
jacint@836
   758
	
alpar@1222
   759
	for(InEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
alpar@1222
   760
	  if ( (*_flow)[e] <= 0 ) continue;
alpar@1222
   761
	  Node w=_g->source(e);
alpar@1222
   762
	  if ( level[w] < _node_num ) _flow->set(e, 0);
jacint@836
   763
	}
jacint@836
   764
	
jacint@836
   765
	//computing the excess
alpar@1222
   766
	for(NodeIt w(*_g); w!=INVALID; ++w) {
jacint@836
   767
	  Num exc=0;
alpar@1222
   768
	  for(InEdgeIt e(*_g,w); e!=INVALID; ++e) exc+=(*_flow)[e];
alpar@1222
   769
	  for(OutEdgeIt e(*_g,w); e!=INVALID; ++e) exc-=(*_flow)[e];
jacint@836
   770
	  excess.set(w,exc);
jacint@836
   771
	  
jacint@836
   772
	  //putting the active nodes into the stack
jacint@836
   773
	  int lev=level[w];
alpar@1222
   774
	    if ( exc > 0 && lev < _node_num && Node(w) != _target ) {
jacint@836
   775
	      next.set(w,first[lev]);
jacint@836
   776
	      first[lev]=w;
jacint@836
   777
	    }
jacint@836
   778
	}
jacint@836
   779
	break;
jacint@836
   780
      } //switch
jacint@836
   781
    } //preflowPreproc
jacint@836
   782
jacint@836
   783
jacint@836
   784
    void relabel(Node w, int newlevel, VecNode& first, NNMap& next, 
jacint@836
   785
		 VecNode& level_list, NNMap& left,
jacint@836
   786
		 NNMap& right, int& b, int& k, bool what_heur )
jacint@836
   787
    {
jacint@836
   788
jacint@836
   789
      int lev=level[w];
jacint@836
   790
jacint@836
   791
      Node right_n=right[w];
jacint@836
   792
      Node left_n=left[w];
jacint@836
   793
jacint@836
   794
      //unlacing starts
jacint@836
   795
      if ( right_n!=INVALID ) {
jacint@836
   796
	if ( left_n!=INVALID ) {
jacint@836
   797
	  right.set(left_n, right_n);
jacint@836
   798
	  left.set(right_n, left_n);
jacint@836
   799
	} else {
jacint@836
   800
	  level_list[lev]=right_n;
jacint@836
   801
	  left.set(right_n, INVALID);
jacint@836
   802
	}
jacint@836
   803
      } else {
jacint@836
   804
	if ( left_n!=INVALID ) {
jacint@836
   805
	  right.set(left_n, INVALID);
jacint@836
   806
	} else {
jacint@836
   807
	  level_list[lev]=INVALID;
jacint@836
   808
	}
jacint@836
   809
      }
jacint@836
   810
      //unlacing ends
jacint@836
   811
jacint@836
   812
      if ( level_list[lev]==INVALID ) {
jacint@836
   813
jacint@836
   814
	//gapping starts
jacint@836
   815
	for (int i=lev; i!=k ; ) {
jacint@836
   816
	  Node v=level_list[++i];
jacint@836
   817
	  while ( v!=INVALID ) {
alpar@1222
   818
	    level.set(v,_node_num);
jacint@836
   819
	    v=right[v];
jacint@836
   820
	  }
jacint@836
   821
	  level_list[i]=INVALID;
jacint@836
   822
	  if ( !what_heur ) first[i]=INVALID;
jacint@836
   823
	}
jacint@836
   824
alpar@1222
   825
	level.set(w,_node_num);
jacint@836
   826
	b=lev-1;
jacint@836
   827
	k=b;
jacint@836
   828
	//gapping ends
jacint@836
   829
jacint@836
   830
      } else {
jacint@836
   831
alpar@1222
   832
	if ( newlevel == _node_num ) level.set(w,_node_num);
jacint@836
   833
	else {
jacint@836
   834
	  level.set(w,++newlevel);
jacint@836
   835
	  next.set(w,first[newlevel]);
jacint@836
   836
	  first[newlevel]=w;
jacint@836
   837
	  if ( what_heur ) b=newlevel;
jacint@836
   838
	  if ( k < newlevel ) ++k;      //now k=newlevel
jacint@836
   839
	  Node z=level_list[newlevel];
jacint@836
   840
	  if ( z!=INVALID ) left.set(z,w);
jacint@836
   841
	  right.set(w,z);
jacint@836
   842
	  left.set(w,INVALID);
jacint@836
   843
	  level_list[newlevel]=w;
jacint@836
   844
	}
jacint@836
   845
      }
jacint@836
   846
    } //relabel
jacint@836
   847
jacint@836
   848
  }; 
alpar@1227
   849
alpar@1227
   850
  ///Function type interface for Preflow algorithm.
alpar@1227
   851
alpar@1227
   852
  /// \ingroup flowalgs
alpar@1227
   853
  ///Function type interface for Preflow algorithm.
alpar@1227
   854
  ///\sa Preflow
alpar@1227
   855
  template<class GR, class CM, class FM>
alpar@1227
   856
  Preflow<GR,typename CM::Value,CM,FM> preflow(const GR &g,
alpar@1227
   857
			    typename GR::Node source,
alpar@1227
   858
			    typename GR::Node target,
alpar@1227
   859
			    const CM &cap,
alpar@1227
   860
			    FM &flow
alpar@1227
   861
			    )
alpar@1227
   862
  {
alpar@1227
   863
    return Preflow<GR,typename CM::Value,CM,FM>(g,source,target,cap,flow);
alpar@1227
   864
  }
alpar@1227
   865
alpar@921
   866
} //namespace lemon
jacint@836
   867
alpar@921
   868
#endif //LEMON_PREFLOW_H