lemon/min_mean_cycle.h
author deba
Fri, 31 Aug 2007 08:40:49 +0000
changeset 2469 d6f12a9b5cbf
parent 2413 21eb3ccdc3df
child 2509 a8081c9cd96a
permissions -rw-r--r--
Invalid assignments ambiguity handling
     1 /* -*- C++ -*-
     2  *
     3  * This file is a part of LEMON, a generic C++ optimization library
     4  *
     5  * Copyright (C) 2003-2007
     6  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
     7  * (Egervary Research Group on Combinatorial Optimization, EGRES).
     8  *
     9  * Permission to use, modify and distribute this software is granted
    10  * provided that this copyright notice appears in all copies. For
    11  * precise terms see the accompanying LICENSE file.
    12  *
    13  * This software is provided "AS IS" with no warranty of any kind,
    14  * express or implied, and with no claim as to its suitability for any
    15  * purpose.
    16  *
    17  */
    18 
    19 #ifndef LEMON_MIN_MEAN_CYCLE_H
    20 #define LEMON_MIN_MEAN_CYCLE_H
    21 
    22 /// \ingroup min_cost_flow
    23 ///
    24 /// \file
    25 /// \brief Karp algorithm for finding a minimum mean cycle.
    26 
    27 #include <lemon/graph_utils.h>
    28 #include <lemon/topology.h>
    29 #include <lemon/path.h>
    30 
    31 namespace lemon {
    32 
    33   /// \addtogroup min_cost_flow
    34   /// @{
    35 
    36   /// \brief Implementation of Karp's algorithm for finding a
    37   /// minimum mean (directed) cycle.
    38   ///
    39   /// The \ref lemon::MinMeanCycle "MinMeanCycle" implements Karp's
    40   /// algorithm for finding a minimum mean (directed) cycle.
    41   ///
    42   /// \param Graph The directed graph type the algorithm runs on.
    43   /// \param LengthMap The type of the length (cost) map.
    44   ///
    45   /// \author Peter Kovacs
    46 
    47   template <typename Graph,
    48     typename LengthMap = typename Graph::template EdgeMap<int> >
    49   class MinMeanCycle
    50   {
    51     typedef typename Graph::Node Node;
    52     typedef typename Graph::NodeIt NodeIt;
    53     typedef typename Graph::Edge Edge;
    54     typedef typename Graph::EdgeIt EdgeIt;
    55     typedef typename Graph::OutEdgeIt OutEdgeIt;
    56 
    57     typedef typename LengthMap::Value Length;
    58 
    59     typedef typename Graph::template NodeMap<int> IntNodeMap;
    60     typedef typename Graph::template NodeMap<Edge> PredNodeMap;
    61     typedef Path<Graph> Path;
    62     typedef std::vector<Node> NodeVector;
    63 
    64   protected:
    65 
    66     /// \brief Data sturcture for path data.
    67     struct PathData
    68     {
    69       bool found;
    70       Length dist;
    71       Edge pred;
    72       PathData(bool _found = false, Length _dist = 0) :
    73 	found(_found), dist(_dist), pred(INVALID) {}
    74       PathData(bool _found, Length _dist, Edge _pred) :
    75 	found(_found), dist(_dist), pred(_pred) {}
    76     };
    77 
    78   private:
    79 
    80     typedef typename Graph::template NodeMap<std::vector<PathData> >
    81       PathDataNodeMap;
    82 
    83   protected:
    84 
    85     /// \brief Node map for storing path data.
    86     ///
    87     /// Node map for storing path data of all nodes in the current
    88     /// component. dmap[v][k] is the length of a shortest directed walk
    89     /// to node v from the starting node containing exactly k edges.
    90     PathDataNodeMap dmap;
    91 
    92     /// \brief The directed graph the algorithm runs on.
    93     const Graph &graph;
    94     /// \brief The length of the edges.
    95     const LengthMap &length;
    96 
    97     /// \brief The total length of the found cycle.
    98     Length cycle_length;
    99     /// \brief The number of edges in the found cycle.
   100     int cycle_size;
   101     /// \brief A node for obtaining a minimum mean cycle.
   102     Node cycle_node;
   103 
   104     /// \brief The found cycle.
   105     Path *cycle_path;
   106     /// \brief The algorithm uses local \ref lemon::Path "Path"
   107     /// structure to store the found cycle.
   108     bool local_path;
   109 
   110     /// \brief Node map for identifying strongly connected components.
   111     IntNodeMap comp;
   112     /// \brief The number of strongly connected components.
   113     int comp_num;
   114     /// \brief Counter for identifying the current component.
   115     int comp_cnt;
   116     /// \brief Nodes of the current component.
   117     NodeVector nodes;
   118     /// \brief The processed nodes in the last round.
   119     NodeVector process;
   120 
   121   public :
   122 
   123     /// \brief The constructor of the class.
   124     ///
   125     /// The constructor of the class.
   126     ///
   127     /// \param _graph The directed graph the algorithm runs on.
   128     /// \param _length The length (cost) of the edges.
   129     MinMeanCycle( const Graph &_graph,
   130 		  const LengthMap &_length ) :
   131       graph(_graph), length(_length), dmap(_graph), comp(_graph),
   132       cycle_length(0), cycle_size(-1), cycle_node(INVALID),
   133       cycle_path(NULL), local_path(false)
   134     { }
   135 
   136     /// \brief The destructor of the class.
   137     ~MinMeanCycle() {
   138       if (local_path) delete cycle_path;
   139     }
   140 
   141   protected:
   142 
   143     /// \brief Initializes the internal data structures for the current
   144     /// component.
   145     void initCurrent() {
   146       nodes.clear();
   147       // Finding the nodes of the current component
   148       for (NodeIt v(graph); v != INVALID; ++v) {
   149 	if (comp[v] == comp_cnt) nodes.push_back(v);
   150       }
   151       // Creating vectors for all nodes
   152       int n = nodes.size();
   153       for (int i = 0; i < nodes.size(); ++i) {
   154 	dmap[nodes[i]].resize(n + 1);
   155       }
   156     }
   157 
   158     /// \brief Processes all rounds of computing required path data for
   159     /// the current component.
   160     void processRounds() {
   161       dmap[nodes[0]][0] = PathData(true, 0);
   162       process.clear();
   163       // Processing the first round
   164       for (OutEdgeIt e(graph, nodes[0]); e != INVALID; ++e) {
   165 	Node v = graph.target(e);
   166 	if (comp[v] != comp_cnt || v == nodes[0]) continue;
   167 	dmap[v][1] = PathData(true, length[e], e);
   168 	process.push_back(v);
   169       }
   170       // Processing other rounds
   171       int n = nodes.size(), k;
   172       for (k = 2; k <= n && process.size() < n; ++k)
   173 	processNextBuildRound(k);
   174       for ( ; k <= n; ++k)
   175 	processNextFullRound(k);
   176     }
   177 
   178     /// \brief Processes one round of computing required path data and
   179     /// rebuilds \ref process vector.
   180     void processNextBuildRound(int k) {
   181       NodeVector next;
   182       for (int i = 0; i < process.size(); ++i) {
   183 	for (OutEdgeIt e(graph, process[i]); e != INVALID; ++e) {
   184 	  Node v = graph.target(e);
   185 	  if (comp[v] != comp_cnt) continue;
   186 	  if (!dmap[v][k].found) {
   187 	    next.push_back(v);
   188 	    dmap[v][k] = PathData(true, dmap[process[i]][k-1].dist + length[e], e);
   189 	  }
   190 	  else if (dmap[process[i]][k-1].dist + length[e] < dmap[v][k].dist) {
   191 	    dmap[v][k] = PathData(true, dmap[process[i]][k-1].dist + length[e], e);
   192 	  }
   193 	}
   194       }
   195       process.swap(next);
   196     }
   197 
   198     /// \brief Processes one round of computing required path data
   199     /// using \ref nodes vector instead of \ref process vector.
   200     void processNextFullRound(int k) {
   201       for (int i = 0; i < nodes.size(); ++i) {
   202 	for (OutEdgeIt e(graph, nodes[i]); e != INVALID; ++e) {
   203 	  Node v = graph.target(e);
   204 	  if (comp[v] != comp_cnt) continue;
   205 	  if ( !dmap[v][k].found ||
   206 	       dmap[nodes[i]][k-1].dist + length[e] < dmap[v][k].dist ) {
   207 	    dmap[v][k] = PathData(true, dmap[nodes[i]][k-1].dist + length[e], e);
   208 	  }
   209 	}
   210       }
   211     }
   212 
   213     /// \brief Finds the minimum cycle mean value in the current
   214     /// component.
   215     bool findCurrentMin(Length &min_length, int &min_size, Node &min_node) {
   216       bool found_min = false;
   217       for (int i = 0; i < nodes.size(); ++i) {
   218 	int n = nodes.size();
   219 	if (!dmap[nodes[i]][n].found) continue;
   220 	Length len;
   221 	int size;
   222 	bool found_one = false;
   223 	for (int k = 0; k < n; ++k) {
   224 	  if (!dmap[nodes[i]][k].found) continue;
   225 	  Length _len = dmap[nodes[i]][n].dist - dmap[nodes[i]][k].dist;
   226 	  int _size = n - k;
   227 	  if (!found_one || len * _size < _len * size) {
   228 	    found_one = true;
   229 	    len = _len;
   230 	    size = _size;
   231 	  }
   232 	}
   233 	if ( found_one &&
   234 	     (!found_min || len * min_size < min_length * size) ) {
   235 	  found_min = true;
   236 	  min_length = len;
   237 	  min_size = size;
   238 	  min_node = nodes[i];
   239 	}
   240       }
   241       return found_min;
   242     }
   243 
   244   public:
   245 
   246     /// \brief Runs the algorithm.
   247     ///
   248     /// Runs the algorithm.
   249     ///
   250     /// \return \c true if a cycle exists in the graph.
   251     ///
   252     /// \note Apart from the return value, m.run() is just a shortcut
   253     /// of the following code.
   254     /// \code
   255     ///   m.init();
   256     ///   m.findMinMean();
   257     ///   m.findCycle();
   258     /// \endcode
   259     bool run() {
   260       init();
   261       findMinMean();
   262       return findCycle();
   263     }
   264 
   265     /// \brief Initializes the internal data structures.
   266     void init() {
   267       comp_num = stronglyConnectedComponents(graph, comp);
   268       if (!cycle_path) {
   269 	local_path = true;
   270 	cycle_path = new Path;
   271       }
   272     }
   273 
   274     /// \brief Finds the minimum cycle mean value in the graph.
   275     ///
   276     /// Computes all the required path data and finds the minimum cycle
   277     /// mean value in the graph.
   278     ///
   279     /// \return \c true if a cycle exists in the graph.
   280     ///
   281     /// \pre \ref init() must be called before using this function.
   282     bool findMinMean() {
   283       cycle_node = INVALID;
   284       for (comp_cnt = 0; comp_cnt < comp_num; ++comp_cnt) {
   285 	initCurrent();
   286 	processRounds();
   287 
   288 	Length min_length;
   289 	int min_size;
   290 	Node min_node;
   291 	bool found_min = findCurrentMin(min_length, min_size, min_node);
   292 
   293 	if ( found_min && (cycle_node == INVALID ||
   294 	     min_length * cycle_size < cycle_length * min_size) ) {
   295 	  cycle_length = min_length;
   296 	  cycle_size = min_size;
   297 	  cycle_node = min_node;
   298 	}
   299       }
   300       return (cycle_node != INVALID);
   301     }
   302 
   303     /// \brief Finds a critical (minimum mean) cycle.
   304     ///
   305     /// Finds a critical (minimum mean) cycle using the path data
   306     /// stored in \ref dmap.
   307     ///
   308     /// \return \c true if a cycle exists in the graph.
   309     ///
   310     /// \pre \ref init() and \ref findMinMean() must be called before
   311     /// using this function.
   312     bool findCycle() {
   313       if (cycle_node == INVALID) return false;
   314       cycle_length = 0;
   315       cycle_size = 0;
   316       IntNodeMap reached(graph, -1);
   317       int r = reached[cycle_node] = dmap[cycle_node].size() - 1;
   318       Node u = graph.source(dmap[cycle_node][r].pred);
   319       while (reached[u] < 0) {
   320 	reached[u] = --r;
   321 	u = graph.source(dmap[u][r].pred);
   322       }
   323       r = reached[u];
   324       Edge e = dmap[u][r].pred;
   325       cycle_path->addFront(e);
   326       cycle_length = cycle_length + length[e];
   327       ++cycle_size;
   328       Node v;
   329       while ((v = graph.source(e)) != u) {
   330 	e = dmap[v][--r].pred;
   331 	cycle_path->addFront(e);
   332 	cycle_length = cycle_length + length[e];
   333 	++cycle_size;
   334       }
   335       return true;
   336     }
   337 
   338     /// \brief Resets the internal data structures.
   339     ///
   340     /// Resets the internal data structures so that \ref findMinMean()
   341     /// and \ref findCycle() can be called again (e.g. when the
   342     /// underlaying graph has been modified).
   343     void reset() {
   344       for (NodeIt u(graph); u != INVALID; ++u)
   345 	dmap[u].clear();
   346       cycle_node = INVALID;
   347       if (cycle_path) cycle_path->clear();
   348       comp_num = stronglyConnectedComponents(graph, comp);
   349     }
   350 
   351     /// \brief Returns the total length of the found cycle.
   352     ///
   353     /// Returns the total length of the found cycle.
   354     ///
   355     /// \pre \ref run() must be called before using this function.
   356     Length cycleLength() const {
   357       return cycle_length;
   358     }
   359 
   360     /// \brief Returns the number of edges in the found cycle.
   361     ///
   362     /// Returns the number of edges in the found cycle.
   363     ///
   364     /// \pre \ref run() must be called before using this function.
   365     int cycleEdgeNum() const {
   366       return cycle_size;
   367     }
   368 
   369     /// \brief Returns the mean length of the found cycle.
   370     ///
   371     /// Returns the mean length of the found cycle.
   372     ///
   373     /// \pre \ref run() must be called before using this function.
   374     ///
   375     /// \warning LengthMap::Value must be convertible to double.
   376     ///
   377     /// \note m.minMean() is just a shortcut of the following code.
   378     /// \code
   379     ///   return m.cycleEdgeNum() / double(m.cycleLength());
   380     /// \endcode
   381     double minMean() const {
   382       return cycle_length / (double)cycle_size;
   383     }
   384 
   385     /// \brief Returns a const reference to the \ref lemon::Path "Path"
   386     /// structure of the found cycle.
   387     ///
   388     /// Returns a const reference to the \ref lemon::Path "Path"
   389     /// structure of the found cycle.
   390     ///
   391     /// \pre \ref run() must be called before using this function.
   392     ///
   393     /// \sa \ref cyclePath()
   394     const Path& cycle() const {
   395       return *cycle_path;
   396     }
   397 
   398     /// \brief Sets the \ref lemon::Path "Path" structure storing the
   399     /// found cycle.
   400     ///
   401     /// Sets the \ref lemon::Path "Path" structure storing the found
   402     /// cycle. If you don't use this function before calling
   403     /// \ref run(), it will allocate one. The destuctor deallocates
   404     /// this automatically allocated map, of course.
   405     ///
   406     /// \note The algorithm calls only the \ref lemon::Path::addFront()
   407     /// "addFront()" method of the given \ref lemon::Path "Path"
   408     /// structure.
   409     ///
   410     /// \return \c (*this)
   411     MinMeanCycle& cyclePath(Path &path) {
   412       if (local_path) {
   413 	delete cycle_path;
   414 	local_path = false;
   415       }
   416       cycle_path = &path;
   417       return *this;
   418     }
   419 
   420   }; //class MinMeanCycle
   421 
   422   ///@}
   423 
   424 } //namespace lemon
   425 
   426 #endif //LEMON_MIN_MEAN_CYCLE_H