diff -r 956a29f30887 -r 2f64c4a692a8 lemon/suurballe.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/lemon/suurballe.h Tue Oct 28 18:39:53 2008 +0000 @@ -0,0 +1,499 @@ +/* -*- C++ -*- + * + * This file is a part of LEMON, a generic C++ optimization library + * + * Copyright (C) 2003-2008 + * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport + * (Egervary Research Group on Combinatorial Optimization, EGRES). + * + * Permission to use, modify and distribute this software is granted + * provided that this copyright notice appears in all copies. For + * precise terms see the accompanying LICENSE file. + * + * This software is provided "AS IS" with no warranty of any kind, + * express or implied, and with no claim as to its suitability for any + * purpose. + * + */ + +#ifndef LEMON_SUURBALLE_H +#define LEMON_SUURBALLE_H + +///\ingroup shortest_path +///\file +///\brief An algorithm for finding arc-disjoint paths between two +/// nodes having minimum total length. + +#include +#include +#include + +namespace lemon { + + /// \addtogroup shortest_path + /// @{ + + /// \brief Implementation of an algorithm for finding arc-disjoint + /// paths between two nodes having minimum total length. + /// + /// \ref lemon::Suurballe "Suurballe" implements an algorithm for + /// finding arc-disjoint paths having minimum total length (cost) + /// from a given source node to a given target node in a directed + /// digraph. + /// + /// In fact, this implementation is the specialization of the + /// \ref CapacityScaling "successive shortest path" algorithm. + /// + /// \tparam Digraph The directed digraph type the algorithm runs on. + /// \tparam LengthMap The type of the length (cost) map. + /// + /// \warning Length values should be \e non-negative \e integers. + /// + /// \note For finding node-disjoint paths this algorithm can be used + /// with \ref SplitDigraphAdaptor. + /// + /// \author Attila Bernath and Peter Kovacs + + template < typename Digraph, + typename LengthMap = typename Digraph::template ArcMap > + class Suurballe + { + TEMPLATE_DIGRAPH_TYPEDEFS(Digraph); + + typedef typename LengthMap::Value Length; + typedef ConstMap ConstArcMap; + typedef typename Digraph::template NodeMap PredMap; + + public: + + /// The type of the flow map. + typedef typename Digraph::template ArcMap FlowMap; + /// The type of the potential map. + typedef typename Digraph::template NodeMap PotentialMap; + /// The type of the path structures. + typedef SimplePath Path; + + private: + + /// \brief Special implementation of the \ref Dijkstra algorithm + /// for finding shortest paths in the residual network. + /// + /// \ref ResidualDijkstra is a special implementation of the + /// \ref Dijkstra algorithm for finding shortest paths in the + /// residual network of the digraph with respect to the reduced arc + /// lengths and modifying the node potentials according to the + /// distance of the nodes. + class ResidualDijkstra + { + typedef typename Digraph::template NodeMap HeapCrossRef; + typedef BinHeap Heap; + + private: + + // The directed digraph the algorithm runs on + const Digraph &_graph; + + // The main maps + const FlowMap &_flow; + const LengthMap &_length; + PotentialMap &_potential; + + // The distance map + PotentialMap _dist; + // The pred arc map + PredMap &_pred; + // The processed (i.e. permanently labeled) nodes + std::vector _proc_nodes; + + Node _s; + Node _t; + + public: + + /// Constructor. + ResidualDijkstra( const Digraph &digraph, + const FlowMap &flow, + const LengthMap &length, + PotentialMap &potential, + PredMap &pred, + Node s, Node t ) : + _graph(digraph), _flow(flow), _length(length), _potential(potential), + _dist(digraph), _pred(pred), _s(s), _t(t) {} + + /// \brief Runs the algorithm. Returns \c true if a path is found + /// from the source node to the target node. + bool run() { + HeapCrossRef heap_cross_ref(_graph, Heap::PRE_HEAP); + Heap heap(heap_cross_ref); + heap.push(_s, 0); + _pred[_s] = INVALID; + _proc_nodes.clear(); + + // Processing nodes + while (!heap.empty() && heap.top() != _t) { + Node u = heap.top(), v; + Length d = heap.prio() + _potential[u], nd; + _dist[u] = heap.prio(); + heap.pop(); + _proc_nodes.push_back(u); + + // Traversing outgoing arcs + for (OutArcIt e(_graph, u); e != INVALID; ++e) { + if (_flow[e] == 0) { + v = _graph.target(e); + switch(heap.state(v)) { + case Heap::PRE_HEAP: + heap.push(v, d + _length[e] - _potential[v]); + _pred[v] = e; + break; + case Heap::IN_HEAP: + nd = d + _length[e] - _potential[v]; + if (nd < heap[v]) { + heap.decrease(v, nd); + _pred[v] = e; + } + break; + case Heap::POST_HEAP: + break; + } + } + } + + // Traversing incoming arcs + for (InArcIt e(_graph, u); e != INVALID; ++e) { + if (_flow[e] == 1) { + v = _graph.source(e); + switch(heap.state(v)) { + case Heap::PRE_HEAP: + heap.push(v, d - _length[e] - _potential[v]); + _pred[v] = e; + break; + case Heap::IN_HEAP: + nd = d - _length[e] - _potential[v]; + if (nd < heap[v]) { + heap.decrease(v, nd); + _pred[v] = e; + } + break; + case Heap::POST_HEAP: + break; + } + } + } + } + if (heap.empty()) return false; + + // Updating potentials of processed nodes + Length t_dist = heap.prio(); + for (int i = 0; i < int(_proc_nodes.size()); ++i) + _potential[_proc_nodes[i]] += _dist[_proc_nodes[i]] - t_dist; + return true; + } + + }; //class ResidualDijkstra + + private: + + // The directed digraph the algorithm runs on + const Digraph &_graph; + // The length map + const LengthMap &_length; + + // Arc map of the current flow + FlowMap *_flow; + bool _local_flow; + // Node map of the current potentials + PotentialMap *_potential; + bool _local_potential; + + // The source node + Node _source; + // The target node + Node _target; + + // Container to store the found paths + std::vector< SimplePath > paths; + int _path_num; + + // The pred arc map + PredMap _pred; + // Implementation of the Dijkstra algorithm for finding augmenting + // shortest paths in the residual network + ResidualDijkstra *_dijkstra; + + public: + + /// \brief Constructor. + /// + /// Constructor. + /// + /// \param digraph The directed digraph the algorithm runs on. + /// \param length The length (cost) values of the arcs. + /// \param s The source node. + /// \param t The target node. + Suurballe( const Digraph &digraph, + const LengthMap &length, + Node s, Node t ) : + _graph(digraph), _length(length), _flow(0), _local_flow(false), + _potential(0), _local_potential(false), _source(s), _target(t), + _pred(digraph) {} + + /// Destructor. + ~Suurballe() { + if (_local_flow) delete _flow; + if (_local_potential) delete _potential; + delete _dijkstra; + } + + /// \brief Sets the flow map. + /// + /// Sets the flow map. + /// + /// The found flow contains only 0 and 1 values. It is the union of + /// the found arc-disjoint paths. + /// + /// \return \c (*this) + Suurballe& flowMap(FlowMap &map) { + if (_local_flow) { + delete _flow; + _local_flow = false; + } + _flow = ↦ + return *this; + } + + /// \brief Sets the potential map. + /// + /// Sets the potential map. + /// + /// The potentials provide the dual solution of the underlying + /// minimum cost flow problem. + /// + /// \return \c (*this) + Suurballe& potentialMap(PotentialMap &map) { + if (_local_potential) { + delete _potential; + _local_potential = false; + } + _potential = ↦ + return *this; + } + + /// \name Execution control + /// The simplest way to execute the algorithm is to call the run() + /// function. + /// \n + /// If you only need the flow that is the union of the found + /// arc-disjoint paths, you may call init() and findFlow(). + + /// @{ + + /// \brief Runs the algorithm. + /// + /// Runs the algorithm. + /// + /// \param k The number of paths to be found. + /// + /// \return \c k if there are at least \c k arc-disjoint paths + /// from \c s to \c t. Otherwise it returns the number of + /// arc-disjoint paths found. + /// + /// \note Apart from the return value, s.run(k) is just a + /// shortcut of the following code. + /// \code + /// s.init(); + /// s.findFlow(k); + /// s.findPaths(); + /// \endcode + int run(int k = 2) { + init(); + findFlow(k); + findPaths(); + return _path_num; + } + + /// \brief Initializes the algorithm. + /// + /// Initializes the algorithm. + void init() { + // Initializing maps + if (!_flow) { + _flow = new FlowMap(_graph); + _local_flow = true; + } + if (!_potential) { + _potential = new PotentialMap(_graph); + _local_potential = true; + } + for (ArcIt e(_graph); e != INVALID; ++e) (*_flow)[e] = 0; + for (NodeIt n(_graph); n != INVALID; ++n) (*_potential)[n] = 0; + + _dijkstra = new ResidualDijkstra( _graph, *_flow, _length, + *_potential, _pred, + _source, _target ); + } + + /// \brief Executes the successive shortest path algorithm to find + /// an optimal flow. + /// + /// Executes the successive shortest path algorithm to find a + /// minimum cost flow, which is the union of \c k or less + /// arc-disjoint paths. + /// + /// \return \c k if there are at least \c k arc-disjoint paths + /// from \c s to \c t. Otherwise it returns the number of + /// arc-disjoint paths found. + /// + /// \pre \ref init() must be called before using this function. + int findFlow(int k = 2) { + // Finding shortest paths + _path_num = 0; + while (_path_num < k) { + // Running Dijkstra + if (!_dijkstra->run()) break; + ++_path_num; + + // Setting the flow along the found shortest path + Node u = _target; + Arc e; + while ((e = _pred[u]) != INVALID) { + if (u == _graph.target(e)) { + (*_flow)[e] = 1; + u = _graph.source(e); + } else { + (*_flow)[e] = 0; + u = _graph.target(e); + } + } + } + return _path_num; + } + + /// \brief Computes the paths from the flow. + /// + /// Computes the paths from the flow. + /// + /// \pre \ref init() and \ref findFlow() must be called before using + /// this function. + void findPaths() { + // Creating the residual flow map (the union of the paths not + // found so far) + FlowMap res_flow(_graph); + for(ArcIt a(_graph);a!=INVALID;++a) res_flow[a]=(*_flow)[a]; + + paths.clear(); + paths.resize(_path_num); + for (int i = 0; i < _path_num; ++i) { + Node n = _source; + while (n != _target) { + OutArcIt e(_graph, n); + for ( ; res_flow[e] == 0; ++e) ; + n = _graph.target(e); + paths[i].addBack(e); + res_flow[e] = 0; + } + } + } + + /// @} + + /// \name Query Functions + /// The result of the algorithm can be obtained using these + /// functions. + /// \n The algorithm should be executed before using them. + + /// @{ + + /// \brief Returns a const reference to the arc map storing the + /// found flow. + /// + /// Returns a const reference to the arc map storing the flow that + /// is the union of the found arc-disjoint paths. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + const FlowMap& flowMap() const { + return *_flow; + } + + /// \brief Returns a const reference to the node map storing the + /// found potentials (the dual solution). + /// + /// Returns a const reference to the node map storing the found + /// potentials that provide the dual solution of the underlying + /// minimum cost flow problem. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + const PotentialMap& potentialMap() const { + return *_potential; + } + + /// \brief Returns the flow on the given arc. + /// + /// Returns the flow on the given arc. + /// It is \c 1 if the arc is involved in one of the found paths, + /// otherwise it is \c 0. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + int flow(const Arc& arc) const { + return (*_flow)[arc]; + } + + /// \brief Returns the potential of the given node. + /// + /// Returns the potential of the given node. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + Length potential(const Node& node) const { + return (*_potential)[node]; + } + + /// \brief Returns the total length (cost) of the found paths (flow). + /// + /// Returns the total length (cost) of the found paths (flow). + /// The complexity of the function is \f$ O(e) \f$. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + Length totalLength() const { + Length c = 0; + for (ArcIt e(_graph); e != INVALID; ++e) + c += (*_flow)[e] * _length[e]; + return c; + } + + /// \brief Returns the number of the found paths. + /// + /// Returns the number of the found paths. + /// + /// \pre \ref run() or findFlow() must be called before using this + /// function. + int pathNum() const { + return _path_num; + } + + /// \brief Returns a const reference to the specified path. + /// + /// Returns a const reference to the specified path. + /// + /// \param i The function returns the \c i-th path. + /// \c i must be between \c 0 and %pathNum()-1. + /// + /// \pre \ref run() or findPaths() must be called before using this + /// function. + Path path(int i) const { + return paths[i]; + } + + /// @} + + }; //class Suurballe + + ///@} + +} //namespace lemon + +#endif //LEMON_SUURBALLE_H