src/hugo/kruskal.h
author alpar
Thu, 16 Sep 2004 20:55:01 +0000
changeset 876 26c573ca6a99
parent 812 182d3a4d7ddb
child 881 a9f19f38970b
permissions -rw-r--r--
Go back to -r1169 in order to be able to compile minlengthpath_test.cc
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// -*- c++ -*- //
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#ifndef HUGO_KRUSKAL_H
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#define HUGO_KRUSKAL_H
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#include <algorithm>
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#include <hugo/unionfind.h>
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/**
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@defgroup spantree Minimum Cost Spanning Tree Algorithms
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@ingroup galgs
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\brief This group containes the algorithms for finding a minimum cost spanning
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tree in a graph
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This group containes the algorithms for finding a minimum cost spanning
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tree in a graph
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*/
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///\ingroup spantree
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///\file
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///\brief Kruskal's algorithm to compute a minimum cost tree
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///
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///Kruskal's algorithm to compute a minimum cost tree.
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///\weakgroup spantree
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namespace hugo {
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  /// \addtogroup spantree
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  /// @{
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  /// Kruskal's algorithm to find a minimum cost tree of a graph.
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  /// This function runs Kruskal's algorithm to find a minimum cost tree.
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  /// \param G The graph the algorithm runs on. The algorithm considers the
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  /// graph to be undirected, the direction of the edges are not used.
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  ///
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  /// \param in This object is used to describe the edge costs. It must
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  /// be an STL compatible 'Forward Container'
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  /// with <tt>std::pair<GR::Edge,X></tt> as its <tt>value_type</tt>,
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  /// where X is the type of the costs. It must contain every edge in
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  /// cost-ascending order.
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  ///\par
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  /// For the sake of simplicity, there is a helper class KruskalMapInput,
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  /// which converts a
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  /// simple edge map to an input of this form. Alternatively, you can use
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  /// the function \ref kruskalEdgeMap to compute the minimum cost tree if
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  /// the edge costs are given by an edge map.
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  ///
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  /// \retval out This must be a writable \c bool edge map.
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  /// After running the algorithm
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  /// this will contain the found minimum cost spanning tree: the value of an
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  /// edge will be set to \c true if it belongs to the tree, otherwise it will
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  /// be set to \c false. The value of each edge will be set exactly once.
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  ///
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  /// \return The cost of the found tree.
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  template <class GR, class IN, class OUT>
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  typename IN::value_type::second_type
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  kruskal(GR const& G, IN const& in, 
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		 OUT& out)
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  {
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    typedef typename IN::value_type::second_type EdgeCost;
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    typedef typename GR::template NodeMap<int> NodeIntMap;
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    typedef typename GR::Node Node;
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    NodeIntMap comp(G, -1);
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    UnionFind<Node,NodeIntMap> uf(comp); 
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    EdgeCost tot_cost = 0;
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    for (typename IN::const_iterator p = in.begin(); 
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	 p!=in.end(); ++p ) {
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      if ( uf.join(G.head((*p).first),
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		   G.tail((*p).first)) ) {
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	out.set((*p).first, true);
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	tot_cost += (*p).second;
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      }
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      else {
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	out.set((*p).first, false);
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      }
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    }
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    return tot_cost;
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  }
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  /* A work-around for running Kruskal with const-reference bool maps... */
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  ///\bug What is this? Or why doesn't it work?
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  ///
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  template<class Map>
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  class NonConstMapWr {
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    const Map &m;
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  public:
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    typedef typename Map::ValueType ValueType;
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    NonConstMapWr(const Map &_m) : m(_m) {}
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    template<class KeyType>
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    void set(KeyType const& k, ValueType const &v) const { m.set(k,v); }
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  };
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  template <class GR, class IN, class OUT>
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  inline
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  typename IN::ValueType
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  kruskal(GR const& G, IN const& edges, 
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	  OUT const& out_map)
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  {
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    NonConstMapWr<OUT> map_wr(out_map);
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    return kruskal(G, edges, map_wr);
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  }  
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  /* ** ** Input-objects ** ** */
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  /// Kruskal input source.
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  /// Kruskal input source.
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  ///
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  /// In most cases you possibly want to use the \ref kruskalEdgeMap() instead.
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  ///
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  /// \sa makeKruskalMapInput()
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  ///
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  ///\param GR The type of the graph the algorithm runs on.
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  ///\param Map An edge map containing the cost of the edges.
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  ///\par
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  ///The cost type can be any type satisfying
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  ///the STL 'LessThan comparable'
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  ///concept if it also has an operator+() implemented. (It is necessary for
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  ///computing the total cost of the tree).
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  ///
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  template<class GR, class Map>
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  class KruskalMapInput
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    : public std::vector< std::pair<typename GR::Edge,
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				    typename Map::ValueType> > {
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  public:
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    typedef std::vector< std::pair<typename GR::Edge,
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				   typename Map::ValueType> > Parent;
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    typedef typename Parent::value_type value_type;
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  private:
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    class comparePair {
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    public:
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      bool operator()(const value_type& a,
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		      const value_type& b) {
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	return a.second < b.second;
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      }
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    };
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  public:
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    void sort() {
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      std::sort(this->begin(), this->end(), comparePair());
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    }
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    KruskalMapInput(GR const& G, Map const& m) {
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      typedef typename GR::EdgeIt EdgeIt;
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      this->clear();
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      for(EdgeIt e(G);e!=INVALID;++e) push_back(make_pair(e, m[e]));
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      sort();
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    }
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  };
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  /// Creates a KruskalMapInput object for \ref kruskal()
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  /// It makes is easier to use 
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  /// \ref KruskalMapInput by making it unnecessary 
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  /// to explicitly give the type of the parameters.
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  ///
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  /// In most cases you possibly
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  /// want to use the function kruskalEdgeMap() instead.
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  ///
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  ///\param G The type of the graph the algorithm runs on.
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  ///\param m An edge map containing the cost of the edges.
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  ///\par
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  ///The cost type can be any type satisfying the
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  ///STL 'LessThan Comparable'
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  ///concept if it also has an operator+() implemented. (It is necessary for
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  ///computing the total cost of the tree).
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  ///
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  ///\return An appropriate input source for \ref kruskal().
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  ///
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  template<class GR, class Map>
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  inline
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  KruskalMapInput<GR,Map> makeKruskalMapInput(const GR &G,const Map &m)
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  {
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    return KruskalMapInput<GR,Map>(G,m);
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  }
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  /* ** ** Output-objects: simple writable bool maps** ** */
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  /// A writable bool-map that makes a sequence of "true" keys
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  /// A writable bool-map that creates a sequence out of keys that receives
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  /// the value "true".
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  /// \warning Not a regular property map, as it doesn't know its KeyType
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  /// \bug Missing documentation.
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  /// \todo This class may be of wider usage, therefore it could move to
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  /// <tt>maps.h</tt>
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  template<class Iterator>
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  class SequenceOutput {
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    mutable Iterator it;
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  public:
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    typedef bool ValueType;
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    SequenceOutput(Iterator const &_it) : it(_it) {}
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    template<typename KeyType>
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    void set(KeyType const& k, bool v) const { if(v) {*it=k; ++it;} }
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  };
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  template<class Iterator>
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  inline
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  SequenceOutput<Iterator>
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  makeSequenceOutput(Iterator it) {
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    return SequenceOutput<Iterator>(it);
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  }
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  /* ** ** Wrapper funtions ** ** */
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  /// \brief Wrapper function to kruskal().
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  /// Input is from an edge map, output is a plain bool map.
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  ///
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  /// Wrapper function to kruskal().
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  /// Input is from an edge map, output is a plain bool map.
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  ///
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  ///\param G The type of the graph the algorithm runs on.
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  ///\param in An edge map containing the cost of the edges.
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  ///\par
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  ///The cost type can be any type satisfying the
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  ///STL 'LessThan Comparable'
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  ///concept if it also has an operator+() implemented. (It is necessary for
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  ///computing the total cost of the tree).
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  ///
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  /// \retval out This must be a writable \c bool edge map.
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  /// After running the algorithm
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  /// this will contain the found minimum cost spanning tree: the value of an
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  /// edge will be set to \c true if it belongs to the tree, otherwise it will
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  /// be set to \c false. The value of each edge will be set exactly once.
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  ///
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  /// \return The cost of the found tree.
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  template <class GR, class IN, class RET>
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  inline
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  typename IN::ValueType
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  kruskalEdgeMap(GR const& G,
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		 IN const& in,
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		 RET &out) {
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    return kruskal(G,
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		   KruskalMapInput<GR,IN>(G,in),
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		   out);
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  }
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  /// \brief Wrapper function to kruskal().
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  /// Input is from an edge map, output is an STL Sequence.
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  ///
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  /// Wrapper function to kruskal().
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  /// Input is from an edge map, output is an STL Sequence.
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  ///
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  ///\param G The type of the graph the algorithm runs on.
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  ///\param in An edge map containing the cost of the edges.
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  ///\par
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  ///The cost type can be any type satisfying the
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  ///STL 'LessThan Comparable'
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  ///concept if it also has an operator+() implemented. (It is necessary for
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  ///computing the total cost of the tree).
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  ///
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  /// \retval out This must be an iteraror of an STL Container with
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  /// <tt>GR::Edge</tt> as its <tt>value_type</tt>.
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  /// The algorithm copies the elements of the found tree into this sequence.
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  /// For example, if we know that the spanning tree of the graph \c G has
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  /// say 53 edges then
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  /// we can put its edges into a STL vector \c tree with a code like this.
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  /// \code
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  /// std::vector<Edge> tree(53);
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  /// kruskalEdgeMap_IteratorOut(G,cost,tree.begin());
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  /// \endcode
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  /// Or if we don't know in advance the size of the tree, we can write this.
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  /// \code
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  /// std::vector<Edge> tree;
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  /// kruskalEdgeMap_IteratorOut(G,cost,std::back_inserter(tree));
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  /// \endcode
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  ///
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  /// \return The cost of the found tree.
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  ///
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  /// \bug its name does not follow the coding style.
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  template <class GR, class IN, class RET>
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  inline
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  typename IN::ValueType
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  kruskalEdgeMap_IteratorOut(const GR& G,
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			     const IN& in,
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			     RET out)
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  {
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    SequenceOutput<RET> _out(out);
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    return kruskal(G,
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		   KruskalMapInput<GR,IN>(G, in),
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		   _out);
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  }
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  /// @}
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} //namespace hugo
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#endif //HUGO_KRUSKAL_H