Esempio n. 1
0
 private void Relax(WeightedDiGraph <T> G, T v)
 {
     foreach (var e in G.Adj(v))
     {
         T w = e.To();
         if (distTo[w] > distTo[v] + e.Weight)
         {
             distTo[w] = distTo[v] + e.Weight;
             edgeTo[w] = e;
             if (!onQueue[w])
             {
                 queue.Enqueue(w);
                 onQueue[w] = true;
             }
         }
         if (cost++ % G.V() == 0)
         {
             FindNegativeCycle();
             if (HasNegativeCycle())
             {
                 return;                     // found a negative cycle
             }
         }
     }
 }
Esempio n. 2
0
        public Dijkstra(WeightedDiGraph G, int s)
        {
            this.s = s;
            int V = G.V();

            marked = new bool[V];
            edgeTo = new Edge[V];
            cost   = new double[V];

            for (var i = 0; i < V; ++i)
            {
                cost[i] = Double.MaxValue;
            }

            cost[s] = 0;

            pq = new IndexMinPQ <Double>(V);


            pq.Insert(s, 0);

            while (!pq.IsEmpty)
            {
                var v = pq.DelMin();
                marked[v] = true;
                foreach (var e in G.adj(v))
                {
                    Relax(G, e);
                }
            }
        }
        public TopologicalSortShortestPath(WeightedDiGraph G, int s)
        {
            this.s = s;
            int V = G.V();

            marked = new bool[V];
            edgeTo = new Edge[V];
            cost   = new double[V];

            for (var i = 0; i < V; ++i)
            {
                cost[i] = Double.MaxValue;
            }

            cost[s] = 0;

            DepthFirstPostOrder dfo = new DepthFirstPostOrder(G.ToDiGraph());

            foreach (var v in dfo.PostOrder())
            {
                foreach (var e in G.adj(v))
                {
                    Relax(G, e);
                }
            }
        }
Esempio n. 4
0
        public void Test()
        {
            WeightedDiGraph G        = GraphGenerator.directedEdgeWeightedGraph();
            Dijkstra        dijkstra = new Dijkstra(G, 0);

            for (var v = 1; v < G.V(); ++v)
            {
                if (!dijkstra.HasPathTo(v))
                {
                    Console.WriteLine("Path not found for {0}", v);
                    continue;
                }
                IEnumerable <Edge> path = dijkstra.PathTo(v);

                console.WriteLine(ToString(path));
                Console.WriteLine(ToString(path));
            }
        }
        public void Test()
        {
            WeightedDiGraph  G = GraphGenerator.directedEdgeWeightedGraph();
            BellmanFulkerson BellmanFulkerson = new BellmanFulkerson(G, 0);

            for (var v = 1; v < G.V(); ++v)
            {
                if (!BellmanFulkerson.HasPathTo(v))
                {
                    Console.WriteLine("Path not found for {0}", v);
                    continue;
                }
                IEnumerable <Edge> path = BellmanFulkerson.PathTo(v);

                console.WriteLine(ToString(path));
                Console.WriteLine(ToString(path));
            }
        }
Esempio n. 6
0
        public BellmanFulkerson(WeightedDiGraph G, int s)
        {
            this.s = s;
            var V = G.V();

            cost = new double[V];
            for (var v = 0; v < V; ++v)
            {
                cost[v] = Double.MaxValue;
            }

            edgeTo  = new Edge[V];
            cost[s] = 0;

            for (var j = 0; j < V; ++j)
            {
                for (var v = 0; v < V; ++v)
                {
                    foreach (var e in G.adj(v))
                    {
                        Relax(G, e);
                    }
                }
            }

            negativeCycles = false;
            for (var v = 0; v < V; ++v)
            {
                foreach (var e in G.adj(v))
                {
                    if (Relax(G, e))
                    {
                        negativeCycles = true;
                    }
                }
            }
        }