lemon/bellman_ford.h
changeset 2463 19651a04d056
parent 2394 8b9b44a9c754
child 2476 059dcdda37c5
equal deleted inserted replaced
19:00225a119e59 20:f15a84fc6670
    36 namespace lemon {
    36 namespace lemon {
    37 
    37 
    38   /// \brief Default OperationTraits for the BellmanFord algorithm class.
    38   /// \brief Default OperationTraits for the BellmanFord algorithm class.
    39   ///  
    39   ///  
    40   /// It defines all computational operations and constants which are
    40   /// It defines all computational operations and constants which are
    41   /// used in the bellman ford algorithm. The default implementation
    41   /// used in the Bellman-Ford algorithm. The default implementation
    42   /// is based on the numeric_limits class. If the numeric type does not
    42   /// is based on the numeric_limits class. If the numeric type does not
    43   /// have infinity value then the maximum value is used as extremal
    43   /// have infinity value then the maximum value is used as extremal
    44   /// infinity value.
    44   /// infinity value.
    45   template <
    45   template <
    46     typename Value, 
    46     typename Value, 
    98     typedef _LengthMap LengthMap;
    98     typedef _LengthMap LengthMap;
    99 
    99 
   100     // The type of the length of the edges.
   100     // The type of the length of the edges.
   101     typedef typename _LengthMap::Value Value;
   101     typedef typename _LengthMap::Value Value;
   102 
   102 
   103     /// \brief Operation traits for bellman-ford algorithm.
   103     /// \brief Operation traits for Bellman-Ford algorithm.
   104     ///
   104     ///
   105     /// It defines the infinity type on the given Value type
   105     /// It defines the infinity type on the given Value type
   106     /// and the used operation.
   106     /// and the used operation.
   107     /// \see BellmanFordDefaultOperationTraits
   107     /// \see BellmanFordDefaultOperationTraits
   108     typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;
   108     typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;
   408       }
   408       }
   409     }
   409     }
   410     
   410     
   411     /// \brief Adds a new source node.
   411     /// \brief Adds a new source node.
   412     ///
   412     ///
   413     /// The optional second parameter is the initial distance of the node.
   413     /// Adds a new source node. The optional second parameter is the 
   414     /// It just sets the distance of the node to the given value.
   414     /// initial distance of the node. It just sets the distance of the 
       
   415     /// node to the given value.
   415     void addSource(Node source, Value dst = OperationTraits::zero()) {
   416     void addSource(Node source, Value dst = OperationTraits::zero()) {
   416       _dist->set(source, dst);
   417       _dist->set(source, dst);
   417       if (!(*_mask)[source]) {
   418       if (!(*_mask)[source]) {
   418 	_process.push_back(source);
   419 	_process.push_back(source);
   419 	_mask->set(source, true);
   420 	_mask->set(source, true);
   420       }
   421       }
   421     }
   422     }
   422 
   423 
   423     /// \brief Executes one round from the bellman ford algorithm.
   424     /// \brief Executes one round from the Bellman-Ford algorithm.
   424     ///
   425     ///
   425     /// If the algoritm calculated the distances in the previous round
   426     /// If the algoritm calculated the distances in the previous round
   426     /// exactly for all at most \f$ k \f$ length path lengths then it will
   427     /// exactly for all at most \f$ k \f$ length path lengths then it will
   427     /// calculate the distances exactly for all at most \f$ k + 1 \f$
   428     /// calculate the distances exactly for all at most \f$ k + 1 \f$
   428     /// length path lengths. With \f$ k \f$ iteration this function
   429     /// length path lengths. With \f$ k \f$ iteration this function
   461       }
   462       }
   462       _process.swap(nextProcess);
   463       _process.swap(nextProcess);
   463       return _process.empty();
   464       return _process.empty();
   464     }
   465     }
   465 
   466 
   466     /// \brief Executes one weak round from the bellman ford algorithm.
   467     /// \brief Executes one weak round from the Bellman-Ford algorithm.
   467     ///
   468     ///
   468     /// If the algorithm calculated the distances in the
   469     /// If the algorithm calculated the distances in the
   469     /// previous round at least for all at most k length paths then it will
   470     /// previous round at least for all at most k length paths then it will
   470     /// calculate the distances at least for all at most k + 1 length paths.
   471     /// calculate the distances at least for all at most k + 1 length paths.
   471     /// This function does not make it possible to calculate strictly the
   472     /// This function does not make it possible to calculate strictly the
   515 
   516 
   516     /// \brief Executes the algorithm and checks the negative cycles.
   517     /// \brief Executes the algorithm and checks the negative cycles.
   517     ///
   518     ///
   518     /// \pre init() must be called and at least one node should be added
   519     /// \pre init() must be called and at least one node should be added
   519     /// with addSource() before using this function. If there is
   520     /// with addSource() before using this function. If there is
   520     /// a negative cycles in the graph it gives back false.
   521     /// a negative cycle in the graph it gives back false.
   521     ///
   522     ///
   522     /// This method runs the %BellmanFord algorithm from the root node(s)
   523     /// This method runs the %BellmanFord algorithm from the root node(s)
   523     /// in order to compute the shortest path to each node. The algorithm 
   524     /// in order to compute the shortest path to each node. The algorithm 
   524     /// computes 
   525     /// computes 
   525     /// - The shortest path tree.
   526     /// - The shortest path tree.
   605     /// Before the use of these functions,
   606     /// Before the use of these functions,
   606     /// either run() or start() must be called.
   607     /// either run() or start() must be called.
   607     
   608     
   608     ///@{
   609     ///@{
   609 
   610 
   610     /// \brief Lemon iterator for get a active nodes.
   611     /// \brief Lemon iterator for get the active nodes.
   611     ///
   612     ///
   612     /// Lemon iterator for get the active nodes. This class provides a
   613     /// Lemon iterator for get the active nodes. This class provides a
   613     /// common style lemon iterator which gives back a subset of the
   614     /// common style lemon iterator which gives back a subset of the
   614     /// nodes. The iterated nodes are active in the algorithm after
   615     /// nodes. The iterated nodes are active in the algorithm after
   615     /// the last phase so these should be checked in the next phase to
   616     /// the last phase so these should be checked in the next phase to
   782     typedef _LengthMap LengthMap;
   783     typedef _LengthMap LengthMap;
   783 
   784 
   784     /// \brief The value type of the length map.
   785     /// \brief The value type of the length map.
   785     typedef typename _LengthMap::Value Value;
   786     typedef typename _LengthMap::Value Value;
   786 
   787 
   787     /// \brief Operation traits for bellman-ford algorithm.
   788     /// \brief Operation traits for Bellman-Ford algorithm.
   788     ///
   789     ///
   789     /// It defines the infinity type on the given Value type
   790     /// It defines the infinity type on the given Value type
   790     /// and the used operation.
   791     /// and the used operation.
   791     /// \see BellmanFordDefaultOperationTraits
   792     /// \see BellmanFordDefaultOperationTraits
   792     typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;
   793     typedef BellmanFordDefaultOperationTraits<Value> OperationTraits;