Ejemplo n.º 1
0
        public void computeBFS(GraphAdjList adjLst,
                               int V,
                               int startVertex,
                               Dictionary <int, string> map)
        {
            colors  = new int[V];
            parents = new int[V];
            initializeArrays(V);

            Queue <int> q = new Queue <int>();

            q.Enqueue(startVertex);
            while (q.Count != 0)
            {
                int element = q.Dequeue();
                colors[element] = 1;

                if (adjLst.getAdj(element).Count != 0)
                {
                    foreach (var vertex in adjLst.getAdj(element))
                    {
                        if (colors[vertex.Item1] == -1)
                        {
                            colors[vertex.Item1] = 1;
                            q.Enqueue(vertex.Item1);
                        }
                    }
                }

                Console.Write(map[element] + "\t");
            }
        }
Ejemplo n.º 2
0
        public void computeMST(GraphAdjList adjList,
                               int vertices)
        {
            V = vertices;
            initializeArrays();
            List <Tuple <int, int, int> > edges = new List <Tuple <int, int, int> >();

            for (int i = 0; i < vertices; i++)
            {
                foreach (var v in adjList.getAdj(i))
                {
                    if (!(edges.Contains(new Tuple <int, int, int>(i, v.Item1, v.Item2)) ||
                          edges.Contains(new Tuple <int, int, int>(v.Item1, i, v.Item2))))
                    {
                        edges.Add(new Tuple <int, int, int>(i, v.Item1, v.Item2));
                    }
                }
            }

            List <Tuple <int, int, int> > sortedEdges = new List <Tuple <int, int, int> >(edges.OrderBy(k => k.Item3));

            foreach (var edge in sortedEdges)
            {
                if (!findCycle(edge))
                {
                    finalEdges.Add(edge);
                }
            }

            foreach (var v in finalEdges.OrderBy(k => k.Item1.ToString() + k.Item2.ToString()))
            {
                Console.WriteLine(v.Item1 + "\t" + v.Item2 + "\t" + v.Item3 + "\n");
            }
        }
Ejemplo n.º 3
0
        public void computeMST(GraphAdjList adjList,
                               int start)
        {
            initialize(adjList);

            Q.updatePriority(new HeapClass()
            {
                data     = start,
                priority = 0
            });

            while (Q.count() != 0)
            {
                HeapClass priorityElement = Q.getMax();
                foreach (var v in adjList.getAdj(priorityElement.data))
                {
                    if (Q.contains(v.Item1) && -1 * v.Item2 > Q.getPriority(v.Item1))
                    {
                        Q.updatePriority(new HeapClass()
                        {
                            data     = v.Item1,
                            priority = -1 * v.Item2
                        });

                        parents[v.Item1] = priorityElement.data;
                    }
                }
            }

            Console.WriteLine("\nvertex\tparent");
            for (int i = 0; i < V; i++)
            {
                Console.WriteLine("\n" + i + "\t\t" + parents[i]);
            }
        }
Ejemplo n.º 4
0
        void DFSUtil(GraphAdjList adjList,
                     Dictionary <int, string> map,
                     int vertex,
                     bool isStronglyConnectedModule)
        {
            time            += 1;
            discover[vertex] = time;
            color[vertex]    = 1;

            if (isStronglyConnectedModule)
            {
                Console.Write(vertex.ToString());
            }

            foreach (var v in adjList.getAdj(vertex))
            {
                if (color[v.Item1] == -1)
                {
                    parent[v.Item1] = vertex;
                    DFSUtil(adjList, map, v.Item1, isStronglyConnectedModule);
                }
            }

            time          += 1;
            finish[vertex] = time;
            topologicalSortedGraph.AddFirst(vertex);
        }
Ejemplo n.º 5
0
        public void computeShortestPaths(GraphAdjList adjList,
                                         int source)
        {
            initializeSingleSource(source);
            extractEdges(adjList);

            for (int i = 0; i < V; i++)
            {
                Q.insertHeap(new HeapClass()
                {
                    data = i, priority = distances[i]
                });
            }

            while (Q.count() != 0)
            {
                HeapClass elem = Q.getMax();
                foreach (var v in adjList.getAdj(elem.data))
                {
                    relax(elem.data, v.Item1, v.Item2);
                }
            }

            Console.WriteLine("\nvertex\tparent\tdistance");
            for (int i = 0; i < V; i++)
            {
                Console.WriteLine(i + "\t" + parents[i] + "\t" + (-1 * distances[i]).ToString());
            }
        }
Ejemplo n.º 6
0
 void extractEdges(GraphAdjList adjList)
 {
     for (int i = 0; i < V; i++)
     {
         foreach (var v in adjList.getAdj(i))
         {
             edges.Add(new Tuple <int, int, int>(i, v.Item1, v.Item2));
         }
     }
 }
Ejemplo n.º 7
0
        private void initialize(GraphAdjList adjList)
        {
            for (int i = 0; i < V; i++)
            {
                foreach (var v in adjList.getAdj(i))
                {
                    if (!(edges.Contains(new Tuple <int, int, int>(i, v.Item1, v.Item2)) ||
                          edges.Contains(new Tuple <int, int, int>(v.Item1, i, v.Item2))))
                    {
                        edges.Add(new Tuple <int, int, int>(i, v.Item1, v.Item2));
                    }
                }
            }

            for (int i = 0; i < V; i++)
            {
                Q.insertHeap(new HeapClass()
                {
                    data = i, priority = -1000
                });
                parents[i] = -1;
            }
        }