| 1 | // -*- c++ -*- | 
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| 2 | #ifndef HUGO_MINLENGTHPATHS_H | 
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| 3 | #define HUGO_MINLENGTHPATHS_H | 
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| 4 |  | 
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| 5 | ///\ingroup galgs | 
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| 6 | ///\file | 
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| 7 | ///\brief An algorithm for finding k paths of minimal total length. | 
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| 8 |  | 
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| 9 | #include <iostream> | 
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| 10 | #include <dijkstra.h> | 
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| 11 | #include <graph_wrapper.h> | 
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| 12 | #include <maps.h> | 
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| 13 | #include <vector> | 
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| 14 |  | 
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| 15 |  | 
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| 16 | namespace hugo { | 
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| 17 |  | 
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| 18 | /// \addtogroup galgs | 
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| 19 | /// @{ | 
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| 20 |  | 
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| 21 | ///\brief Implementation of an algorithm for finding k paths between 2 nodes | 
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| 22 | /// of minimal total length | 
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| 23 | /// | 
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| 24 | /// The class \ref hugo::MinLengthPaths "MinLengthPaths" implements | 
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| 25 | /// an algorithm which finds k edge-disjoint paths | 
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| 26 | /// from a given source node to a given target node in an | 
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| 27 | /// edge-weighted directed graph having minimal total weigth (length). | 
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| 28 | /// | 
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| 29 | ///\author Attila Bernath | 
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| 30 | template <typename Graph, typename LengthMap> | 
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| 31 | class MinLengthPaths { | 
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| 32 |  | 
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| 33 | typedef typename LengthMap::ValueType Length; | 
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| 34 |  | 
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| 35 | typedef typename Graph::Node Node; | 
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| 36 | typedef typename Graph::NodeIt NodeIt; | 
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| 37 | typedef typename Graph::Edge Edge; | 
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| 38 | typedef typename Graph::OutEdgeIt OutEdgeIt; | 
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| 39 | typedef typename Graph::EdgeMap<int> EdgeIntMap; | 
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| 40 |  | 
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| 41 | typedef ConstMap<Edge,int> ConstMap; | 
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| 42 |  | 
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| 43 | typedef ResGraphWrapper<const Graph,int,ConstMap,EdgeIntMap> ResGraphType; | 
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| 44 |  | 
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| 45 |  | 
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| 46 | class ModLengthMap { | 
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| 47 | typedef typename ResGraphType::NodeMap<Length> NodeMap; | 
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| 48 | const ResGraphType& G; | 
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| 49 | const EdgeIntMap& rev; | 
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| 50 | const LengthMap &ol; | 
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| 51 | const NodeMap &pot; | 
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| 52 | public : | 
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| 53 | typedef typename LengthMap::KeyType KeyType; | 
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| 54 | typedef typename LengthMap::ValueType ValueType; | 
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| 55 |  | 
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| 56 | ValueType operator[](typename ResGraphType::Edge e) const { | 
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| 57 | //if ( (1-2*rev[e])*ol[e]-(pot[G.head(e)]-pot[G.tail(e)] ) <0 ){ | 
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| 58 | //  std::cout<<"Negative length!!"<<std::endl; | 
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| 59 | //} | 
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| 60 | return (1-2*rev[e])*ol[e]-(pot[G.head(e)]-pot[G.tail(e)]); | 
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| 61 | } | 
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| 62 |  | 
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| 63 | ModLengthMap(const ResGraphType& _G, const EdgeIntMap& _rev, | 
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| 64 | const LengthMap &o,  const NodeMap &p) : | 
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| 65 | G(_G), rev(_rev), ol(o), pot(p){}; | 
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| 66 | }; | 
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| 67 |  | 
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| 68 |  | 
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| 69 | const Graph& G; | 
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| 70 | const LengthMap& length; | 
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| 71 |  | 
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| 72 | //auxiliary variables | 
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| 73 |  | 
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| 74 | //The value is 1 iff the edge is reversed. | 
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| 75 | //If the algorithm has finished, the edges of the seeked paths are | 
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| 76 | //exactly those that are reversed | 
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| 77 | EdgeIntMap reversed; | 
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| 78 |  | 
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| 79 | //Container to store found paths | 
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| 80 | std::vector< std::vector<Edge> > paths; | 
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| 81 |  | 
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| 82 | public : | 
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| 83 |  | 
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| 84 |  | 
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| 85 | MinLengthPaths(Graph& _G, LengthMap& _length) : G(_G), | 
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| 86 | length(_length), reversed(_G)/*, dijkstra_dist(_G)*/{ } | 
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| 87 |  | 
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| 88 |  | 
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| 89 | ///Runs the algorithm. | 
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| 90 |  | 
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| 91 | ///Runs the algorithm. | 
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| 92 | ///Returns k if there are at least k edge-disjoint paths from s to t. | 
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| 93 | ///Otherwise it returns the number of found edge-disjoint paths from s to t. | 
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| 94 | int run(Node s, Node t, int k) { | 
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| 95 | ConstMap const1map(1); | 
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| 96 |  | 
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| 97 | //We need a residual graph, in which some of the edges are reversed | 
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| 98 | ResGraphType res_graph(G, const1map, reversed); | 
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| 99 |  | 
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| 100 | //Initialize the copy of the Dijkstra potential to zero | 
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| 101 | typename ResGraphType::NodeMap<Length> dijkstra_dist(res_graph); | 
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| 102 | ModLengthMap mod_length(res_graph, reversed, length, dijkstra_dist); | 
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| 103 |  | 
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| 104 | Dijkstra<ResGraphType, ModLengthMap> dijkstra(res_graph, mod_length); | 
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| 105 |  | 
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| 106 | int i; | 
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| 107 | for (i=0; i<k; ++i){ | 
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| 108 | dijkstra.run(s); | 
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| 109 | if (!dijkstra.reached(t)){ | 
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| 110 | //There are no k paths from s to t | 
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| 111 | break; | 
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| 112 | }; | 
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| 113 |  | 
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| 114 | { | 
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| 115 | //We have to copy the potential | 
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| 116 | typename ResGraphType::NodeIt n; | 
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| 117 | for ( res_graph.first(n) ; res_graph.valid(n) ; res_graph.next(n) ) { | 
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| 118 | dijkstra_dist[n] += dijkstra.distMap()[n]; | 
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| 119 | } | 
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| 120 | } | 
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| 121 |  | 
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| 122 |  | 
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| 123 | //Reversing the sortest path | 
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| 124 | Node n=t; | 
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| 125 | Edge e; | 
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| 126 | while (n!=s){ | 
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| 127 | e = dijkstra.pred(n); | 
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| 128 | n = dijkstra.predNode(n); | 
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| 129 | reversed[e] = 1-reversed[e]; | 
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| 130 | } | 
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| 131 |  | 
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| 132 |  | 
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| 133 | } | 
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| 134 |  | 
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| 135 | //Let's find the paths | 
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| 136 | //We put the paths into vectors (just for now). In the meantime we lose | 
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| 137 | //the information stored in 'reversed' | 
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| 138 | //We suppose the lengths to be positive now. | 
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| 139 | paths.clear(); | 
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| 140 | paths.resize(k); | 
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| 141 | for (int j=0; j<i; ++j){ | 
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| 142 | Node n=s; | 
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| 143 | OutEdgeIt e; | 
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| 144 |  | 
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| 145 | while (n!=t){ | 
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| 146 |  | 
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| 147 |  | 
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| 148 | G.first(e,n); | 
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| 149 |  | 
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| 150 | while (!reversed[e]){ | 
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| 151 | G.next(e); | 
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| 152 | } | 
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| 153 | n = G.head(e); | 
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| 154 | paths[j].push_back(e); | 
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| 155 | reversed[e] = 1-reversed[e]; | 
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| 156 | } | 
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| 157 |  | 
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| 158 | } | 
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| 159 |  | 
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| 160 | return i; | 
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| 161 | } | 
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| 162 |  | 
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| 163 |  | 
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| 164 | }; //class MinLengthPaths | 
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| 165 |  | 
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| 166 | ///@} | 
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| 167 |  | 
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| 168 | } //namespace hugo | 
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| 169 |  | 
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| 170 | #endif //HUGO_MINLENGTHPATHS_H | 
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