[276] | 1 | // -*- c++ -*- |
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[306] | 2 | #ifndef HUGO_MINLENGTHPATHS_H |
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| 3 | #define HUGO_MINLENGTHPATHS_H |
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[276] | 4 | |
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[294] | 5 | ///\file |
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[306] | 6 | ///\brief An algorithm for finding k paths of minimal total length. |
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[294] | 7 | |
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[276] | 8 | #include <iostream> |
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| 9 | #include <dijkstra.h> |
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| 10 | #include <graph_wrapper.h> |
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[306] | 11 | #include <maps.h> |
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[322] | 12 | #include <vector> |
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| 13 | |
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[306] | 14 | |
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[276] | 15 | namespace hugo { |
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| 16 | |
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| 17 | |
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[322] | 18 | |
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[310] | 19 | ///\brief Implementation of an algorithm for finding k paths between 2 nodes |
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[306] | 20 | /// of minimal total length |
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[310] | 21 | /// |
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| 22 | /// The class \ref hugo::MinLengthPaths "MinLengthPaths" implements |
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| 23 | /// an algorithm which finds k edge-disjoint paths |
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| 24 | /// from a given source node to a given target node in an |
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| 25 | /// edge-weighted directed graph having minimal total weigth (length). |
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[276] | 26 | |
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[310] | 27 | template <typename Graph, typename LengthMap> |
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[306] | 28 | class MinLengthPaths { |
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[276] | 29 | |
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[310] | 30 | typedef typename LengthMap::ValueType Length; |
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[276] | 31 | |
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| 32 | typedef typename Graph::Node Node; |
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| 33 | typedef typename Graph::NodeIt NodeIt; |
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| 34 | typedef typename Graph::Edge Edge; |
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| 35 | typedef typename Graph::OutEdgeIt OutEdgeIt; |
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[306] | 36 | typedef typename Graph::EdgeMap<int> EdgeIntMap; |
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| 37 | |
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| 38 | typedef ConstMap<Edge,int> ConstMap; |
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| 39 | |
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[330] | 40 | typedef ResGraphWrapper<const Graph,int,ConstMap,EdgeIntMap> ResGraphType; |
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[276] | 41 | |
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[306] | 42 | |
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| 43 | class ModLengthMap { |
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[310] | 44 | typedef typename ResGraphType::NodeMap<Length> NodeMap; |
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[306] | 45 | const ResGraphType& G; |
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[310] | 46 | const EdgeIntMap& rev; |
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| 47 | const LengthMap &ol; |
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| 48 | const NodeMap &pot; |
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[306] | 49 | public : |
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| 50 | typedef typename LengthMap::KeyType KeyType; |
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| 51 | typedef typename LengthMap::ValueType ValueType; |
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| 52 | |
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| 53 | ValueType operator[](typename ResGraphType::Edge e) const { |
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[322] | 54 | //if ( (1-2*rev[e])*ol[e]-(pot[G.head(e)]-pot[G.tail(e)] ) <0 ){ |
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| 55 | // std::cout<<"Negative length!!"<<std::endl; |
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| 56 | //} |
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[306] | 57 | return (1-2*rev[e])*ol[e]-(pot[G.head(e)]-pot[G.tail(e)]); |
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| 58 | } |
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| 59 | |
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[310] | 60 | ModLengthMap(const ResGraphType& _G, const EdgeIntMap& _rev, |
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| 61 | const LengthMap &o, const NodeMap &p) : |
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[306] | 62 | G(_G), rev(_rev), ol(o), pot(p){}; |
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| 63 | }; |
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| 64 | |
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| 65 | |
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[276] | 66 | const Graph& G; |
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| 67 | const LengthMap& length; |
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| 68 | |
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[328] | 69 | //auxiliary variables |
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[322] | 70 | |
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[314] | 71 | //The value is 1 iff the edge is reversed. |
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| 72 | //If the algorithm has finished, the edges of the seeked paths are |
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| 73 | //exactly those that are reversed |
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[306] | 74 | EdgeIntMap reversed; |
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[276] | 75 | |
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[322] | 76 | //Container to store found paths |
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| 77 | std::vector< std::vector<Edge> > paths; |
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| 78 | |
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[276] | 79 | public : |
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[310] | 80 | |
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[276] | 81 | |
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[306] | 82 | MinLengthPaths(Graph& _G, LengthMap& _length) : G(_G), |
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| 83 | length(_length), reversed(_G)/*, dijkstra_dist(_G)*/{ } |
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[276] | 84 | |
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[294] | 85 | |
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[329] | 86 | ///Runs the algorithm. |
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| 87 | |
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| 88 | ///Runs the algorithm. |
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[306] | 89 | ///Returns k if there are at least k edge-disjoint paths from s to t. |
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[329] | 90 | ///Otherwise it returns the number of found edge-disjoint paths from s to t. |
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[306] | 91 | int run(Node s, Node t, int k) { |
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| 92 | ConstMap const1map(1); |
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[276] | 93 | |
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[314] | 94 | //We need a residual graph, in which some of the edges are reversed |
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[330] | 95 | ResGraphType res_graph(G, const1map, reversed); |
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[306] | 96 | |
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| 97 | //Initialize the copy of the Dijkstra potential to zero |
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[310] | 98 | typename ResGraphType::NodeMap<Length> dijkstra_dist(res_graph); |
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| 99 | ModLengthMap mod_length(res_graph, reversed, length, dijkstra_dist); |
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[306] | 100 | |
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| 101 | Dijkstra<ResGraphType, ModLengthMap> dijkstra(res_graph, mod_length); |
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[322] | 102 | |
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| 103 | int i; |
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| 104 | for (i=0; i<k; ++i){ |
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[276] | 105 | dijkstra.run(s); |
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| 106 | if (!dijkstra.reached(t)){ |
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[314] | 107 | //There are no k paths from s to t |
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[322] | 108 | break; |
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[276] | 109 | }; |
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[306] | 110 | |
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| 111 | { |
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| 112 | //We have to copy the potential |
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| 113 | typename ResGraphType::NodeIt n; |
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| 114 | for ( res_graph.first(n) ; res_graph.valid(n) ; res_graph.next(n) ) { |
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| 115 | dijkstra_dist[n] += dijkstra.distMap()[n]; |
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| 116 | } |
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| 117 | } |
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| 118 | |
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| 119 | |
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[276] | 120 | //Reversing the sortest path |
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| 121 | Node n=t; |
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| 122 | Edge e; |
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| 123 | while (n!=s){ |
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[291] | 124 | e = dijkstra.pred(n); |
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| 125 | n = dijkstra.predNode(n); |
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[276] | 126 | reversed[e] = 1-reversed[e]; |
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| 127 | } |
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| 128 | |
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| 129 | |
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| 130 | } |
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[322] | 131 | |
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| 132 | //Let's find the paths |
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| 133 | //We put the paths into vectors (just for now). In the meantime we lose |
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| 134 | //the information stored in 'reversed' |
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| 135 | //We suppose the lengths to be positive now. |
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| 136 | paths.clear(); |
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| 137 | paths.resize(k); |
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| 138 | for (int j=0; j<i; ++j){ |
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| 139 | Node n=s; |
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| 140 | OutEdgeIt e; |
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| 141 | |
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| 142 | while (n!=t){ |
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| 143 | |
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| 144 | |
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| 145 | G.first(e,n); |
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| 146 | |
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| 147 | while (!reversed[e]){ |
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| 148 | G.next(e); |
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| 149 | } |
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| 150 | n = G.head(e); |
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| 151 | paths[j].push_back(e); |
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| 152 | reversed[e] = 1-reversed[e]; |
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| 153 | } |
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| 154 | |
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| 155 | } |
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| 156 | |
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| 157 | return i; |
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[276] | 158 | } |
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| 159 | |
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| 160 | |
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[310] | 161 | }; //class MinLengthPaths |
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[276] | 162 | |
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| 163 | |
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| 164 | } //namespace hugo |
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| 165 | |
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[306] | 166 | #endif //HUGO_MINLENGTHPATHS_H |
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