lemon/preflow.h
author deba
Fri, 04 Nov 2005 15:59:21 +0000
changeset 1768 1e2e0238e7c8
parent 1742 2637b9420d0a
child 1786 a263c131e999
permissions -rw-r--r--
Removing findEdge
     1 /* -*- C++ -*-
     2  * lemon/preflow.h - Part of LEMON, a generic C++ optimization library
     3  *
     4  * Copyright (C) 2005 Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
     5  * (Egervary Research Group on Combinatorial Optimization, EGRES).
     6  *
     7  * Permission to use, modify and distribute this software is granted
     8  * provided that this copyright notice appears in all copies. For
     9  * precise terms see the accompanying LICENSE file.
    10  *
    11  * This software is provided "AS IS" with no warranty of any kind,
    12  * express or implied, and with no claim as to its suitability for any
    13  * purpose.
    14  *
    15  */
    16 
    17 #ifndef LEMON_PREFLOW_H
    18 #define LEMON_PREFLOW_H
    19 
    20 #include <vector>
    21 #include <queue>
    22 
    23 #include <lemon/error.h>
    24 #include <lemon/invalid.h>
    25 #include <lemon/maps.h>
    26 #include <lemon/graph_utils.h>
    27 
    28 /// \file
    29 /// \ingroup flowalgs
    30 /// \brief Implementation of the preflow algorithm.
    31 
    32 namespace lemon {
    33 
    34   /// \addtogroup flowalgs
    35   /// @{                                                   
    36 
    37   ///%Preflow algorithms class.
    38 
    39   ///This class provides an implementation of the \e preflow \e
    40   ///algorithm producing a flow of maximum value in a directed
    41   ///graph. The preflow algorithms are the fastest known max flow algorithms
    42   ///up to now. The \e source node, the \e target node, the \e
    43   ///capacity of the edges and the \e starting \e flow value of the
    44   ///edges should be passed to the algorithm through the
    45   ///constructor. It is possible to change these quantities using the
    46   ///functions \ref source, \ref target, \ref capacityMap and \ref
    47   ///flowMap.
    48   ///
    49   ///After running \ref lemon::Preflow::phase1() "phase1()"
    50   ///or \ref lemon::Preflow::run() "run()", the maximal flow
    51   ///value can be obtained by calling \ref flowValue(). The minimum
    52   ///value cut can be written into a <tt>bool</tt> node map by
    53   ///calling \ref minCut(). (\ref minMinCut() and \ref maxMinCut() writes
    54   ///the inclusionwise minimum and maximum of the minimum value cuts,
    55   ///resp.)
    56   ///
    57   ///\param Graph The directed graph type the algorithm runs on.
    58   ///\param Num The number type of the capacities and the flow values.
    59   ///\param CapacityMap The capacity map type.
    60   ///\param FlowMap The flow map type.
    61   ///
    62   ///\author Jacint Szabo 
    63   ///\todo Second template parameter is superfluous
    64   template <typename Graph, typename Num,
    65 	    typename CapacityMap=typename Graph::template EdgeMap<Num>,
    66             typename FlowMap=typename Graph::template EdgeMap<Num> >
    67   class Preflow {
    68   protected:
    69     typedef typename Graph::Node Node;
    70     typedef typename Graph::NodeIt NodeIt;
    71     typedef typename Graph::EdgeIt EdgeIt;
    72     typedef typename Graph::OutEdgeIt OutEdgeIt;
    73     typedef typename Graph::InEdgeIt InEdgeIt;
    74 
    75     typedef typename Graph::template NodeMap<Node> NNMap;
    76     typedef typename std::vector<Node> VecNode;
    77 
    78     const Graph* _g;
    79     Node _source;
    80     Node _target;
    81     const CapacityMap* _capacity;
    82     FlowMap* _flow;
    83     int _node_num;      //the number of nodes of G
    84     
    85     typename Graph::template NodeMap<int> level;  
    86     typename Graph::template NodeMap<Num> excess;
    87 
    88     // constants used for heuristics
    89     static const int H0=20;
    90     static const int H1=1;
    91 
    92   public:
    93 
    94     ///\ref Exception for the case when s=t.
    95 
    96     ///\ref Exception for the case when the source equals the target.
    97     class InvalidArgument : public lemon::LogicError {
    98     public:
    99       virtual const char* exceptionName() const {
   100 	return "lemon::Preflow::InvalidArgument";
   101       }
   102     };
   103     
   104     
   105     ///Indicates the property of the starting flow map.
   106     
   107     ///Indicates the property of the starting flow map.
   108     ///The meanings are as follows:
   109     ///- \c ZERO_FLOW: constant zero flow
   110     ///- \c GEN_FLOW: any flow, i.e. the sum of the in-flows equals to
   111     ///the sum of the out-flows in every node except the \e source and
   112     ///the \e target.
   113     ///- \c PRE_FLOW: any preflow, i.e. the sum of the in-flows is at 
   114     ///least the sum of the out-flows in every node except the \e source.
   115     ///- \c NO_FLOW: indicates an unspecified edge map. \c flow will be 
   116     ///set to the constant zero flow in the beginning of
   117     ///the algorithm in this case.
   118     ///
   119     enum FlowEnum{
   120       NO_FLOW,
   121       ZERO_FLOW,
   122       GEN_FLOW,
   123       PRE_FLOW
   124     };
   125 
   126     ///Indicates the state of the preflow algorithm.
   127 
   128     ///Indicates the state of the preflow algorithm.
   129     ///The meanings are as follows:
   130     ///- \c AFTER_NOTHING: before running the algorithm or
   131     ///  at an unspecified state.
   132     ///- \c AFTER_PREFLOW_PHASE_1: right after running \c phase1
   133     ///- \c AFTER_PREFLOW_PHASE_2: after running \ref phase2()
   134     ///
   135     enum StatusEnum {
   136       AFTER_NOTHING,
   137       AFTER_PREFLOW_PHASE_1,      
   138       AFTER_PREFLOW_PHASE_2
   139     };
   140     
   141   protected: 
   142     FlowEnum flow_prop;
   143     StatusEnum status; // Do not needle this flag only if necessary.
   144     
   145   public: 
   146     ///The constructor of the class.
   147 
   148     ///The constructor of the class. 
   149     ///\param _gr The directed graph the algorithm runs on. 
   150     ///\param _s The source node.
   151     ///\param _t The target node.
   152     ///\param _cap The capacity of the edges. 
   153     ///\param _f The flow of the edges. 
   154     ///Except the graph, all of these parameters can be reset by
   155     ///calling \ref source, \ref target, \ref capacityMap and \ref
   156     ///flowMap, resp.
   157       Preflow(const Graph& _gr, Node _s, Node _t, 
   158 	      const CapacityMap& _cap, FlowMap& _f) :
   159 	_g(&_gr), _source(_s), _target(_t), _capacity(&_cap),
   160 	_flow(&_f), _node_num(countNodes(_gr)), level(_gr), excess(_gr,0), 
   161 	flow_prop(NO_FLOW), status(AFTER_NOTHING) { 
   162 	if ( _source==_target )
   163 	  throw InvalidArgument();
   164       }
   165     
   166 
   167                                                                               
   168     ///Runs the preflow algorithm.  
   169 
   170     ///Runs the preflow algorithm.
   171     ///
   172     void run() {
   173       phase1(flow_prop);
   174       phase2();
   175     }
   176     
   177     ///Runs the preflow algorithm.  
   178     
   179     ///Runs the preflow algorithm. 
   180     ///\pre The starting flow map must be
   181     /// - a constant zero flow if \c fp is \c ZERO_FLOW,
   182     /// - an arbitrary flow if \c fp is \c GEN_FLOW,
   183     /// - an arbitrary preflow if \c fp is \c PRE_FLOW,
   184     /// - any map if \c fp is NO_FLOW.
   185     ///If the starting flow map is a flow or a preflow then 
   186     ///the algorithm terminates faster.
   187     void run(FlowEnum fp) {
   188       flow_prop=fp;
   189       run();
   190     }
   191       
   192     ///Runs the first phase of the preflow algorithm.
   193 
   194     ///The preflow algorithm consists of two phases, this method runs
   195     ///the first phase. After the first phase the maximum flow value
   196     ///and a minimum value cut can already be computed, although a
   197     ///maximum flow is not yet obtained. So after calling this method
   198     ///\ref flowValue returns the value of a maximum flow and \ref
   199     ///minCut returns a minimum cut.     
   200     ///\warning \ref minMinCut and \ref maxMinCut do not give minimum
   201     ///value cuts unless calling \ref phase2.  
   202     ///\pre The starting flow must be 
   203     ///- a constant zero flow if \c fp is \c ZERO_FLOW, 
   204     ///- an arbitary flow if \c fp is \c GEN_FLOW, 
   205     ///- an arbitary preflow if \c fp is \c PRE_FLOW, 
   206     ///- any map if \c fp is NO_FLOW.
   207     void phase1(FlowEnum fp)
   208     {
   209       flow_prop=fp;
   210       phase1();
   211     }
   212 
   213     
   214     ///Runs the first phase of the preflow algorithm.
   215 
   216     ///The preflow algorithm consists of two phases, this method runs
   217     ///the first phase. After the first phase the maximum flow value
   218     ///and a minimum value cut can already be computed, although a
   219     ///maximum flow is not yet obtained. So after calling this method
   220     ///\ref flowValue returns the value of a maximum flow and \ref
   221     ///minCut returns a minimum cut.
   222     ///\warning \ref minCut(), \ref minMinCut() and \ref maxMinCut() do not
   223     ///give minimum value cuts unless calling \ref phase2().
   224     void phase1()
   225     {
   226       int heur0=(int)(H0*_node_num);  //time while running 'bound decrease'
   227       int heur1=(int)(H1*_node_num);  //time while running 'highest label'
   228       int heur=heur1;         //starting time interval (#of relabels)
   229       int numrelabel=0;
   230 
   231       bool what_heur=1;
   232       //It is 0 in case 'bound decrease' and 1 in case 'highest label'
   233 
   234       bool end=false;
   235       //Needed for 'bound decrease', true means no active 
   236       //nodes are above bound b.
   237 
   238       int k=_node_num-2;  //bound on the highest level under n containing a node
   239       int b=k;    //bound on the highest level under n of an active node
   240 
   241       VecNode first(_node_num, INVALID);
   242       NNMap next(*_g, INVALID);
   243 
   244       NNMap left(*_g, INVALID);
   245       NNMap right(*_g, INVALID);
   246       VecNode level_list(_node_num,INVALID);
   247       //List of the nodes in level i<n, set to n.
   248 
   249       preflowPreproc(first, next, level_list, left, right);
   250 
   251       //Push/relabel on the highest level active nodes.
   252       while ( true ) {
   253 	if ( b == 0 ) {
   254 	  if ( !what_heur && !end && k > 0 ) {
   255 	    b=k;
   256 	    end=true;
   257 	  } else break;
   258 	}
   259 
   260 	if ( first[b]==INVALID ) --b;
   261 	else {
   262 	  end=false;
   263 	  Node w=first[b];
   264 	  first[b]=next[w];
   265 	  int newlevel=push(w, next, first);
   266 	  if ( excess[w] > 0 ) relabel(w, newlevel, first, next, level_list, 
   267 				       left, right, b, k, what_heur);
   268 
   269 	  ++numrelabel;
   270 	  if ( numrelabel >= heur ) {
   271 	    numrelabel=0;
   272 	    if ( what_heur ) {
   273 	      what_heur=0;
   274 	      heur=heur0;
   275 	      end=false;
   276 	    } else {
   277 	      what_heur=1;
   278 	      heur=heur1;
   279 	      b=k;
   280 	    }
   281 	  }
   282 	}
   283       }
   284       flow_prop=PRE_FLOW;
   285       status=AFTER_PREFLOW_PHASE_1;
   286     }
   287     // Heuristics:
   288     //   2 phase
   289     //   gap
   290     //   list 'level_list' on the nodes on level i implemented by hand
   291     //   stack 'active' on the active nodes on level i      
   292     //   runs heuristic 'highest label' for H1*n relabels
   293     //   runs heuristic 'bound decrease' for H0*n relabels,
   294     //        starts with 'highest label'
   295     //   Parameters H0 and H1 are initialized to 20 and 1.
   296 
   297 
   298     ///Runs the second phase of the preflow algorithm.
   299 
   300     ///The preflow algorithm consists of two phases, this method runs
   301     ///the second phase. After calling \ref phase1() and then
   302     ///\ref phase2(),
   303     /// \ref flowMap() return a maximum flow, \ref flowValue
   304     ///returns the value of a maximum flow, \ref minCut returns a
   305     ///minimum cut, while the methods \ref minMinCut and \ref
   306     ///maxMinCut return the inclusionwise minimum and maximum cuts of
   307     ///minimum value, resp.  \pre \ref phase1 must be called before.
   308     void phase2()
   309     {
   310 
   311       int k=_node_num-2;  //bound on the highest level under n containing a node
   312       int b=k;    //bound on the highest level under n of an active node
   313 
   314     
   315       VecNode first(_node_num, INVALID);
   316       NNMap next(*_g, INVALID); 
   317       level.set(_source,0);
   318       std::queue<Node> bfs_queue;
   319       bfs_queue.push(_source);
   320 
   321       while ( !bfs_queue.empty() ) {
   322 
   323 	Node v=bfs_queue.front();
   324 	bfs_queue.pop();
   325 	int l=level[v]+1;
   326 
   327 	for(InEdgeIt e(*_g,v); e!=INVALID; ++e) {
   328 	  if ( (*_capacity)[e] <= (*_flow)[e] ) continue;
   329 	  Node u=_g->source(e);
   330 	  if ( level[u] >= _node_num ) {
   331 	    bfs_queue.push(u);
   332 	    level.set(u, l);
   333 	    if ( excess[u] > 0 ) {
   334 	      next.set(u,first[l]);
   335 	      first[l]=u;
   336 	    }
   337 	  }
   338 	}
   339 
   340 	for(OutEdgeIt e(*_g,v); e!=INVALID; ++e) {
   341 	  if ( 0 >= (*_flow)[e] ) continue;
   342 	  Node u=_g->target(e);
   343 	  if ( level[u] >= _node_num ) {
   344 	    bfs_queue.push(u);
   345 	    level.set(u, l);
   346 	    if ( excess[u] > 0 ) {
   347 	      next.set(u,first[l]);
   348 	      first[l]=u;
   349 	    }
   350 	  }
   351 	}
   352       }
   353       b=_node_num-2;
   354 
   355       while ( true ) {
   356 
   357 	if ( b == 0 ) break;
   358 	if ( first[b]==INVALID ) --b;
   359 	else {
   360 	  Node w=first[b];
   361 	  first[b]=next[w];
   362 	  int newlevel=push(w,next, first);
   363 	  
   364 	  //relabel
   365 	  if ( excess[w] > 0 ) {
   366 	    level.set(w,++newlevel);
   367 	    next.set(w,first[newlevel]);
   368 	    first[newlevel]=w;
   369 	    b=newlevel;
   370 	  }
   371 	} 
   372       } // while(true)
   373       flow_prop=GEN_FLOW;
   374       status=AFTER_PREFLOW_PHASE_2;
   375     }
   376 
   377     /// Returns the value of the maximum flow.
   378 
   379     /// Returns the value of the maximum flow by returning the excess
   380     /// of the target node \c t. This value equals to the value of
   381     /// the maximum flow already after running \ref phase1.
   382     Num flowValue() const {
   383       return excess[_target];
   384     }
   385 
   386 
   387     ///Returns a minimum value cut.
   388 
   389     ///Sets \c M to the characteristic vector of a minimum value
   390     ///cut. This method can be called both after running \ref
   391     ///phase1 and \ref phase2. It is much faster after
   392     ///\ref phase1.  \pre M should be a bool-valued node-map. \pre
   393     ///If \ref minCut() is called after \ref phase2() then M should
   394     ///be initialized to false.
   395     template<typename _CutMap>
   396     void minCut(_CutMap& M) const {
   397       switch ( status ) {
   398 	case AFTER_PREFLOW_PHASE_1:
   399 	for(NodeIt v(*_g); v!=INVALID; ++v) {
   400 	  if (level[v] < _node_num) {
   401 	    M.set(v, false);
   402 	  } else {
   403 	    M.set(v, true);
   404 	  }
   405 	}
   406 	break;
   407 	case AFTER_PREFLOW_PHASE_2:
   408 	minMinCut(M);
   409 	break;
   410 	case AFTER_NOTHING:
   411 	break;
   412       }
   413     }
   414 
   415     ///Returns the inclusionwise minimum of the minimum value cuts.
   416 
   417     ///Sets \c M to the characteristic vector of the minimum value cut
   418     ///which is inclusionwise minimum. It is computed by processing a
   419     ///bfs from the source node \c s in the residual graph.  \pre M
   420     ///should be a node map of bools initialized to false.  \pre \ref
   421     ///phase2 should already be run.
   422     template<typename _CutMap>
   423     void minMinCut(_CutMap& M) const {
   424 
   425       std::queue<Node> queue;
   426       M.set(_source,true);
   427       queue.push(_source);
   428       
   429       while (!queue.empty()) {
   430 	Node w=queue.front();
   431 	queue.pop();
   432 	
   433 	for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   434 	  Node v=_g->target(e);
   435 	  if (!M[v] && (*_flow)[e] < (*_capacity)[e] ) {
   436 	    queue.push(v);
   437 	    M.set(v, true);
   438 	  }
   439 	}
   440 	
   441 	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   442 	  Node v=_g->source(e);
   443 	  if (!M[v] && (*_flow)[e] > 0 ) {
   444 	    queue.push(v);
   445 	    M.set(v, true);
   446 	  }
   447 	}
   448       }
   449     }
   450     
   451     ///Returns the inclusionwise maximum of the minimum value cuts.
   452 
   453     ///Sets \c M to the characteristic vector of the minimum value cut
   454     ///which is inclusionwise maximum. It is computed by processing a
   455     ///backward bfs from the target node \c t in the residual graph.
   456     ///\pre \ref phase2() or run() should already be run.
   457     template<typename _CutMap>
   458     void maxMinCut(_CutMap& M) const {
   459 
   460       for(NodeIt v(*_g) ; v!=INVALID; ++v) M.set(v, true);
   461 
   462       std::queue<Node> queue;
   463 
   464       M.set(_target,false);
   465       queue.push(_target);
   466 
   467       while (!queue.empty()) {
   468         Node w=queue.front();
   469 	queue.pop();
   470 
   471 	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   472 	  Node v=_g->source(e);
   473 	  if (M[v] && (*_flow)[e] < (*_capacity)[e] ) {
   474 	    queue.push(v);
   475 	    M.set(v, false);
   476 	  }
   477 	}
   478 
   479 	for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   480 	  Node v=_g->target(e);
   481 	  if (M[v] && (*_flow)[e] > 0 ) {
   482 	    queue.push(v);
   483 	    M.set(v, false);
   484 	  }
   485 	}
   486       }
   487     }
   488 
   489     ///Sets the source node to \c _s.
   490 
   491     ///Sets the source node to \c _s.
   492     /// 
   493     void source(Node _s) { 
   494       _source=_s; 
   495       if ( flow_prop != ZERO_FLOW ) flow_prop=NO_FLOW;
   496       status=AFTER_NOTHING; 
   497     }
   498 
   499     ///Returns the source node.
   500 
   501     ///Returns the source node.
   502     /// 
   503     Node source() const { 
   504       return _source;
   505     }
   506 
   507     ///Sets the target node to \c _t.
   508 
   509     ///Sets the target node to \c _t.
   510     ///
   511     void target(Node _t) { 
   512       _target=_t; 
   513       if ( flow_prop == GEN_FLOW ) flow_prop=PRE_FLOW;
   514       status=AFTER_NOTHING; 
   515     }
   516 
   517     ///Returns the target node.
   518 
   519     ///Returns the target node.
   520     /// 
   521     Node target() const { 
   522       return _target;
   523     }
   524 
   525     /// Sets the edge map of the capacities to _cap.
   526 
   527     /// Sets the edge map of the capacities to _cap.
   528     /// 
   529     void capacityMap(const CapacityMap& _cap) { 
   530       _capacity=&_cap; 
   531       status=AFTER_NOTHING; 
   532     }
   533     /// Returns a reference to capacity map.
   534 
   535     /// Returns a reference to capacity map.
   536     /// 
   537     const CapacityMap &capacityMap() const { 
   538       return *_capacity;
   539     }
   540 
   541     /// Sets the edge map of the flows to _flow.
   542 
   543     /// Sets the edge map of the flows to _flow.
   544     /// 
   545     void flowMap(FlowMap& _f) { 
   546       _flow=&_f; 
   547       flow_prop=NO_FLOW;
   548       status=AFTER_NOTHING; 
   549     }
   550      
   551     /// Returns a reference to flow map.
   552 
   553     /// Returns a reference to flow map.
   554     /// 
   555     const FlowMap &flowMap() const { 
   556       return *_flow;
   557     }
   558 
   559   private:
   560 
   561     int push(Node w, NNMap& next, VecNode& first) {
   562 
   563       int lev=level[w];
   564       Num exc=excess[w];
   565       int newlevel=_node_num;       //bound on the next level of w
   566 
   567       for(OutEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   568 	if ( (*_flow)[e] >= (*_capacity)[e] ) continue;
   569 	Node v=_g->target(e);
   570 
   571 	if( lev > level[v] ) { //Push is allowed now
   572 	  
   573 	  if ( excess[v]<=0 && v!=_target && v!=_source ) {
   574 	    next.set(v,first[level[v]]);
   575 	    first[level[v]]=v;
   576 	  }
   577 
   578 	  Num cap=(*_capacity)[e];
   579 	  Num flo=(*_flow)[e];
   580 	  Num remcap=cap-flo;
   581 	  
   582 	  if ( remcap >= exc ) { //A nonsaturating push.
   583 	    
   584 	    _flow->set(e, flo+exc);
   585 	    excess.set(v, excess[v]+exc);
   586 	    exc=0;
   587 	    break;
   588 
   589 	  } else { //A saturating push.
   590 	    _flow->set(e, cap);
   591 	    excess.set(v, excess[v]+remcap);
   592 	    exc-=remcap;
   593 	  }
   594 	} else if ( newlevel > level[v] ) newlevel = level[v];
   595       } //for out edges wv
   596 
   597       if ( exc > 0 ) {
   598 	for(InEdgeIt e(*_g,w) ; e!=INVALID; ++e) {
   599 	  
   600 	  if( (*_flow)[e] <= 0 ) continue;
   601 	  Node v=_g->source(e);
   602 
   603 	  if( lev > level[v] ) { //Push is allowed now
   604 
   605 	    if ( excess[v]<=0 && v!=_target && v!=_source ) {
   606 	      next.set(v,first[level[v]]);
   607 	      first[level[v]]=v;
   608 	    }
   609 
   610 	    Num flo=(*_flow)[e];
   611 
   612 	    if ( flo >= exc ) { //A nonsaturating push.
   613 
   614 	      _flow->set(e, flo-exc);
   615 	      excess.set(v, excess[v]+exc);
   616 	      exc=0;
   617 	      break;
   618 	    } else {  //A saturating push.
   619 
   620 	      excess.set(v, excess[v]+flo);
   621 	      exc-=flo;
   622 	      _flow->set(e,0);
   623 	    }
   624 	  } else if ( newlevel > level[v] ) newlevel = level[v];
   625 	} //for in edges vw
   626 
   627       } // if w still has excess after the out edge for cycle
   628 
   629       excess.set(w, exc);
   630       
   631       return newlevel;
   632     }
   633     
   634     
   635     
   636     void preflowPreproc(VecNode& first, NNMap& next, 
   637 			VecNode& level_list, NNMap& left, NNMap& right)
   638     {
   639       for(NodeIt v(*_g); v!=INVALID; ++v) level.set(v,_node_num);
   640       std::queue<Node> bfs_queue;
   641       
   642       if ( flow_prop == GEN_FLOW || flow_prop == PRE_FLOW ) {
   643 	//Reverse_bfs from t in the residual graph,
   644 	//to find the starting level.
   645 	level.set(_target,0);
   646 	bfs_queue.push(_target);
   647 	
   648 	while ( !bfs_queue.empty() ) {
   649 	  
   650 	  Node v=bfs_queue.front();
   651 	  bfs_queue.pop();
   652 	  int l=level[v]+1;
   653 	  
   654 	  for(InEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
   655 	    if ( (*_capacity)[e] <= (*_flow)[e] ) continue;
   656 	    Node w=_g->source(e);
   657 	    if ( level[w] == _node_num && w != _source ) {
   658 	      bfs_queue.push(w);
   659 	      Node z=level_list[l];
   660 	      if ( z!=INVALID ) left.set(z,w);
   661 	      right.set(w,z);
   662 	      level_list[l]=w;
   663 	      level.set(w, l);
   664 	    }
   665 	  }
   666 	  
   667 	  for(OutEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
   668 	    if ( 0 >= (*_flow)[e] ) continue;
   669 	    Node w=_g->target(e);
   670 	    if ( level[w] == _node_num && w != _source ) {
   671 	      bfs_queue.push(w);
   672 	      Node z=level_list[l];
   673 	      if ( z!=INVALID ) left.set(z,w);
   674 	      right.set(w,z);
   675 	      level_list[l]=w;
   676 	      level.set(w, l);
   677 	    }
   678 	  }
   679 	} //while
   680       } //if
   681 
   682 
   683       switch (flow_prop) {
   684 	case NO_FLOW:  
   685 	for(EdgeIt e(*_g); e!=INVALID; ++e) _flow->set(e,0);
   686 	case ZERO_FLOW:
   687 	for(NodeIt v(*_g); v!=INVALID; ++v) excess.set(v,0);
   688 	
   689 	//Reverse_bfs from t, to find the starting level.
   690 	level.set(_target,0);
   691 	bfs_queue.push(_target);
   692 	
   693 	while ( !bfs_queue.empty() ) {
   694 	  
   695 	  Node v=bfs_queue.front();
   696 	  bfs_queue.pop();
   697 	  int l=level[v]+1;
   698 	  
   699 	  for(InEdgeIt e(*_g,v) ; e!=INVALID; ++e) {
   700 	    Node w=_g->source(e);
   701 	    if ( level[w] == _node_num && w != _source ) {
   702 	      bfs_queue.push(w);
   703 	      Node z=level_list[l];
   704 	      if ( z!=INVALID ) left.set(z,w);
   705 	      right.set(w,z);
   706 	      level_list[l]=w;
   707 	      level.set(w, l);
   708 	    }
   709 	  }
   710 	}
   711 	
   712 	//the starting flow
   713 	for(OutEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
   714 	  Num c=(*_capacity)[e];
   715 	  if ( c <= 0 ) continue;
   716 	  Node w=_g->target(e);
   717 	  if ( level[w] < _node_num ) {
   718 	    if ( excess[w] <= 0 && w!=_target ) { //putting into the stack
   719 	      next.set(w,first[level[w]]);
   720 	      first[level[w]]=w;
   721 	    }
   722 	    _flow->set(e, c);
   723 	    excess.set(w, excess[w]+c);
   724 	  }
   725 	}
   726 	break;
   727 
   728 	case GEN_FLOW:
   729 	for(NodeIt v(*_g); v!=INVALID; ++v) excess.set(v,0);
   730 	{
   731 	  Num exc=0;
   732 	  for(InEdgeIt e(*_g,_target) ; e!=INVALID; ++e) exc+=(*_flow)[e];
   733 	  for(OutEdgeIt e(*_g,_target) ; e!=INVALID; ++e) exc-=(*_flow)[e];
   734 	  excess.set(_target,exc);
   735 	}
   736 
   737 	//the starting flow
   738 	for(OutEdgeIt e(*_g,_source); e!=INVALID; ++e)	{
   739 	  Num rem=(*_capacity)[e]-(*_flow)[e];
   740 	  if ( rem <= 0 ) continue;
   741 	  Node w=_g->target(e);
   742 	  if ( level[w] < _node_num ) {
   743 	    if ( excess[w] <= 0 && w!=_target ) { //putting into the stack
   744 	      next.set(w,first[level[w]]);
   745 	      first[level[w]]=w;
   746 	    }   
   747 	    _flow->set(e, (*_capacity)[e]);
   748 	    excess.set(w, excess[w]+rem);
   749 	  }
   750 	}
   751 	
   752 	for(InEdgeIt e(*_g,_source); e!=INVALID; ++e) {
   753 	  if ( (*_flow)[e] <= 0 ) continue;
   754 	  Node w=_g->source(e);
   755 	  if ( level[w] < _node_num ) {
   756 	    if ( excess[w] <= 0 && w!=_target ) {
   757 	      next.set(w,first[level[w]]);
   758 	      first[level[w]]=w;
   759 	    }  
   760 	    excess.set(w, excess[w]+(*_flow)[e]);
   761 	    _flow->set(e, 0);
   762 	  }
   763 	}
   764 	break;
   765 
   766 	case PRE_FLOW:	
   767 	//the starting flow
   768 	for(OutEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
   769 	  Num rem=(*_capacity)[e]-(*_flow)[e];
   770 	  if ( rem <= 0 ) continue;
   771 	  Node w=_g->target(e);
   772 	  if ( level[w] < _node_num ) _flow->set(e, (*_capacity)[e]);
   773 	}
   774 	
   775 	for(InEdgeIt e(*_g,_source) ; e!=INVALID; ++e) {
   776 	  if ( (*_flow)[e] <= 0 ) continue;
   777 	  Node w=_g->source(e);
   778 	  if ( level[w] < _node_num ) _flow->set(e, 0);
   779 	}
   780 	
   781 	//computing the excess
   782 	for(NodeIt w(*_g); w!=INVALID; ++w) {
   783 	  Num exc=0;
   784 	  for(InEdgeIt e(*_g,w); e!=INVALID; ++e) exc+=(*_flow)[e];
   785 	  for(OutEdgeIt e(*_g,w); e!=INVALID; ++e) exc-=(*_flow)[e];
   786 	  excess.set(w,exc);
   787 	  
   788 	  //putting the active nodes into the stack
   789 	  int lev=level[w];
   790 	    if ( exc > 0 && lev < _node_num && Node(w) != _target ) {
   791 	      next.set(w,first[lev]);
   792 	      first[lev]=w;
   793 	    }
   794 	}
   795 	break;
   796       } //switch
   797     } //preflowPreproc
   798 
   799 
   800     void relabel(Node w, int newlevel, VecNode& first, NNMap& next, 
   801 		 VecNode& level_list, NNMap& left,
   802 		 NNMap& right, int& b, int& k, bool what_heur )
   803     {
   804 
   805       int lev=level[w];
   806 
   807       Node right_n=right[w];
   808       Node left_n=left[w];
   809 
   810       //unlacing starts
   811       if ( right_n!=INVALID ) {
   812 	if ( left_n!=INVALID ) {
   813 	  right.set(left_n, right_n);
   814 	  left.set(right_n, left_n);
   815 	} else {
   816 	  level_list[lev]=right_n;
   817 	  left.set(right_n, INVALID);
   818 	}
   819       } else {
   820 	if ( left_n!=INVALID ) {
   821 	  right.set(left_n, INVALID);
   822 	} else {
   823 	  level_list[lev]=INVALID;
   824 	}
   825       }
   826       //unlacing ends
   827 
   828       if ( level_list[lev]==INVALID ) {
   829 
   830 	//gapping starts
   831 	for (int i=lev; i!=k ; ) {
   832 	  Node v=level_list[++i];
   833 	  while ( v!=INVALID ) {
   834 	    level.set(v,_node_num);
   835 	    v=right[v];
   836 	  }
   837 	  level_list[i]=INVALID;
   838 	  if ( !what_heur ) first[i]=INVALID;
   839 	}
   840 
   841 	level.set(w,_node_num);
   842 	b=lev-1;
   843 	k=b;
   844 	//gapping ends
   845 
   846       } else {
   847 
   848 	if ( newlevel == _node_num ) level.set(w,_node_num);
   849 	else {
   850 	  level.set(w,++newlevel);
   851 	  next.set(w,first[newlevel]);
   852 	  first[newlevel]=w;
   853 	  if ( what_heur ) b=newlevel;
   854 	  if ( k < newlevel ) ++k;      //now k=newlevel
   855 	  Node z=level_list[newlevel];
   856 	  if ( z!=INVALID ) left.set(z,w);
   857 	  right.set(w,z);
   858 	  left.set(w,INVALID);
   859 	  level_list[newlevel]=w;
   860 	}
   861       }
   862     } //relabel
   863 
   864   }; 
   865 
   866   ///Function type interface for Preflow algorithm.
   867 
   868   /// \ingroup flowalgs
   869   ///Function type interface for Preflow algorithm.
   870   ///\sa Preflow
   871   template<class GR, class CM, class FM>
   872   Preflow<GR,typename CM::Value,CM,FM> preflow(const GR &g,
   873 			    typename GR::Node source,
   874 			    typename GR::Node target,
   875 			    const CM &cap,
   876 			    FM &flow
   877 			    )
   878   {
   879     return Preflow<GR,typename CM::Value,CM,FM>(g,source,target,cap,flow);
   880   }
   881 
   882 } //namespace lemon
   883 
   884 #endif //LEMON_PREFLOW_H