private static void TestBFS()
{
Graph g = new Graph();
Vertex v1 = new Vertex();
Vertex v2 = new Vertex();
Vertex v3 = new Vertex();
Vertex v4 = new Vertex();
Vertex v5 = new Vertex();
Vertex v6 = new Vertex();
Vertex v7 = new Vertex();
g.AddVertex(v1);
g.AddVertex(v2);
g.AddVertex(v3);
g.AddVertex(v4);
g.AddVertex(v5);
g.AddVertex(v6);
g.AddVertex(v7);
g.AddEdge(new Edge(v1, v2));
g.AddEdge(new Edge(v1, v3));
g.AddEdge(new Edge(v2, v6));
g.AddEdge(new Edge(v2, v4));
g.AddEdge(new Edge(v6, v4));
g.AddEdge(new Edge(v4, v5));
List<Edge> path = GraphAlgorithms.BreadthFirstSearch(g, 0, 4);
}
//Creates a new graph, sets it as the current graph
public Graph NewGraph(string name)
{
Graph g = new Graph();
g.Name = name;
graphs.Add(g);
currentGraph = g;
return g;
}
//Creates a new FlowNetwork, sets it as the current graph
public FlowNetwork NewFlowNetwork(string name)
{
FlowNetwork g = new FlowNetwork();
g.Name = name;
graphs.Add(g);
currentGraph = g;
return g;
}
public void DeleteGraph(Graph g)
{
checkNullGraph(g);
graphs.Remove(g);
if (graphs.Count > 0)
{
currentGraph = graphs[0];
}
}
private static void TestAllPairs()
{
//Graph for figure 4.15 part B
Graph g = new Graph();
Vertex v1 = new Vertex();
Vertex v2 = new Vertex();
Vertex v3 = new Vertex();
Vertex v4 = new Vertex();
Vertex v5 = new Vertex();
Vertex v6 = new Vertex();
Vertex v7 = new Vertex();
Vertex v8 = new Vertex();
Vertex v9 = new Vertex();
Vertex v10 = new Vertex();
Vertex v11 = new Vertex();
Vertex v12 = new Vertex();
g.AddVertex(v1);
g.AddVertex(v2);
g.AddVertex(v3);
g.AddVertex(v4);
g.AddVertex(v5);
g.AddVertex(v6);
g.AddVertex(v7);
g.AddVertex(v8);
g.AddVertex(v9);
g.AddVertex(v10);
g.AddVertex(v11);
g.AddVertex(v12);
g.AddEdge(new Edge(v1, v2, 5));
g.AddEdge(new Edge(v1, v4, 10));
g.AddEdge(new Edge(v2, v3, 7));
g.AddEdge(new Edge(v2, v5, 1));
g.AddEdge(new Edge(v3, v6, 4));
g.AddEdge(new Edge(v4, v5, 3));
g.AddEdge(new Edge(v5, v6, 3));
g.AddEdge(new Edge(v1, v2, 5));
g.AddEdge(new Edge(v4, v7, 11));
g.AddEdge(new Edge(v1, v2, 5));
g.AddEdge(new Edge(v5, v8, 7));
g.AddEdge(new Edge(v6, v9, 5));
g.AddEdge(new Edge(v7, v10, 9));
g.AddEdge(new Edge(v7, v8, 2));
g.AddEdge(new Edge(v8, v11, 1));
g.AddEdge(new Edge(v8, v9, 0));
g.AddEdge(new Edge(v9, v12, 12));
g.AddEdge(new Edge(v11, v12, 4));
float[,] d = GraphAlgorithms.AllPairsShortestPath(g);
GraphAlgorithms.PrintMatrix(d, g.GetVertices().Count);
}
public static float[,] AllPairsShortestPath(Graph g)
{
Output.WriteLine("[All Pairs Shortest Path Output]");
g.UpdateMatrix();
float[,] D = g.GetRawMatrix();
int n = g.GetVertices().Count;
//Set up a matrix called pred, tells you the predecessor for each vertex
//Set labels
//Where edges don't exist, values of positive infinity are already inserted
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
if (i == j)
{
D[i, j] = 0;
}
}
}
for (int k = 0; k < n; k++)
{
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
if (D[i, k] + D[k, j] < D[i, j])
{
D[i, j] = D[i, k] + D[k, j];
}
}
}
}
PrintMatrix(D, g.GetVertices().Count);
Output.WriteLine("[End All Pairs Shortest Path Output]");
return D;
}
public void SetGraph(Graph g)
{
graph = g;
}
public static void MinimumDominatingSet(Graph g, int seed)
{
Output.WriteLine("[Minimum Dominating Set Output]");
//MDS takes an undirected graph
CombinationGenerator cg = new CombinationGenerator(g.GetVertices().Count, seed);
bool setFound = false;
List<Vertex> verts = new List<Vertex>(g.GetVertices().Count);
List<Vertex> neighborhood = new List<Vertex>();
List<Vertex[]> domSet = new List<Vertex[]>();
bool restricted = false;
int setLen = 0;
while (cg.HasNext())
{
int[] array = cg.GetNext();
int[] tally = new int[array.Length];
array.CopyTo(tally, 0);
Vertex[] possibleSet = new Vertex[cg.CurrentLevel()];
int possibleSetCounter = 0;
List<Vertex> neighbors = new List<Vertex>();
for (int i = 0; i < array.Length; i++)
{
if (array[i] != 1)
{
continue;
}
possibleSet[possibleSetCounter] = g.GetVertices()[i];
possibleSetCounter++;
neighbors.AddRange(g.GetVertices()[i].GetAllNeighbors());
}
foreach (Vertex v in neighbors)
{
int index = g.GetVertices().IndexOf(v);
if (index == -1)
{
continue;
}
tally[index] = 1;
}
bool validSet = true;
for (int i = 0; i < tally.Length; i++)
{
if (tally[i] != 1)
{
validSet = false;
break; //we break, because we only want to find one dominating set
}
}
if (validSet)
{
setFound = true;
if (!restricted)
{
cg.RestrictToCurrentLevel();
restricted = true;
setLen = possibleSet.Length;
}
if (setLen == possibleSet.Length)
{
domSet.Add(possibleSet);
break;
}
}
}
//Tally method
//Initiate tally to be the generated array, (create a copy!)
//go through the neighborhood of each vertex with value 1
//for each neighbor, change their value in the tally to 1
//If tally is all 1s, then you have everything
if (setFound)
{
//print out the found set and find the others
Output.WriteLine("Found minimum dominating sets:");
foreach (Vertex[] v in domSet)
{
string separator = "";
for (int i = 0; i < v.Length; i++)
{
Output.Write(separator + v[i].ToString());
separator = ",";
}
Output.WriteLine();
}
}
Output.WriteLine("[End Minimum Dominating Set Output]");
}
public static Graph PrimMST(Graph g)
{
if (g.Directed)
{
Output.WriteLine("Can't run Prim's algorithm on a directed graph");
return null;
}
Graph copy = new Graph();
Graph mst = new Graph();
//Create a copy to preserve g's state
g.CopyTo(copy);
List<Vertex> vertices = copy.GetVertices();
foreach (Vertex vert in vertices)
{
mst.AddVertex(vert);
}
PrimData v = new PrimData();
v.Predecessor = null;
v.Seen = true;
v.V = vertices[0];
v.D = 0;
v.InMST = true;
v.EdgeLength = float.PositiveInfinity;
vertices[0].Tag = v;
foreach (Vertex u in vertices)
{
if (!v.V.Equals(u))
{
PrimData pd = new PrimData();
pd.D = float.PositiveInfinity;
pd.V = u;
pd.InMST = false;
pd.Seen = false;
u.Tag = pd;
}
}
Heap<PrimData> q = new Heap<PrimData>(true);
q.Add(vertices[0].Tag as PrimData);
while (q.HasNext())
{
PrimData pd = q.Next();
if (pd.Predecessor == null)
{
//mst.AddVertex(pd.V);
}
else
{
string label = pd.V.Label;
mst.AddEdge(new Edge(pd.Predecessor, pd.V, pd.EdgeLength));
pd.V.Label = label;
pd.InMST = true;
}
foreach (Edge e in pd.V.GetOutEdges())
{
Vertex connectedVertex = e.GetToVertex();
PrimData data = connectedVertex.Tag as PrimData;
if (!data.Seen)
{
q.Add(data);
data.Predecessor = pd.V;
data.EdgeLength = e.Weight;
data.Seen = true;
}
if (data.D > e.Weight && !data.InMST)
{
data.D = e.Weight;
data.Predecessor = pd.V;
data.EdgeLength = e.Weight;
q.Update(data);
}
}
/*foreach (Edge e in pd.V.GetInEdges())
{
Vertex connectedVertex = e.GetFromVertex();
PrimData data = connectedVertex.Tag as PrimData;
if (!data.Seen)
{
q.Add(data);
data.Predecessor = pd.V;
data.EdgeLength = e.Weight;
data.Seen = true;
}
if (data.D > e.Weight && !data.InMST)
{
data.D = e.Weight;
data.Predecessor = pd.V;
data.EdgeLength = e.Weight;
q.Update(data);
}
}*/
}
return mst;
}
public static Graph LabelCorrecting(Graph g, int vert)
{
Output.WriteLine("[Label Correcting Output]");
//Not working, I think because of the two loops for in and out edges
//Change this to assume g is an undirected graph
//Keep a heap of vertices, based on their distance label
//Each one is initially infinity, except the intial vertex, which is 0
Graph copy = new Graph();
Graph tree = new Graph();
//Create a copy to preserve g's state
g.CopyTo(copy);
List<Vertex> vertices = copy.GetVertices();
List<Edge> edges = copy.GetEdges();
DijkstraData v = new DijkstraData();
v.Predecessor = null;
v.InQ = false;
v.V = vertices[vert];
v.D = 0;
v.InTree = false;
v.EdgeLength = float.PositiveInfinity;
vertices[vert].Tag = v;
Heap<DijkstraData> q = new Heap<DijkstraData>(true);
q.Add(vertices[vert].Tag as DijkstraData);
(vertices[vert].Tag as DijkstraData).InQ = true;
foreach (Vertex u in vertices)
{
if (!v.V.Equals(u))
{
DijkstraData dd = new DijkstraData();
dd.D = float.PositiveInfinity;
dd.V = u;
dd.InTree = false;
dd.InQ = false;
u.Tag = dd;
}
}
float maxEdgeWeight = float.NegativeInfinity;
foreach (Edge e in edges)
{
if (Math.Abs(e.Weight) > maxEdgeWeight)
{
maxEdgeWeight = Math.Abs(e.Weight);
}
}
int n = vertices.Count;
float negativeCycleCheck = n * -maxEdgeWeight;
while (q.HasNext())
{
DijkstraData dd = q.Next();
dd.InQ = false;
/*if (dd.Predecessor == null)
{
tree.AddVertex(dd.V);
}
else
{
tree.AddEdge(new Edge(dd.Predecessor, dd.V, dd.EdgeLength));
dd.InTree = true;
}*/
foreach (Edge e in dd.V.GetOutEdges())
{
Vertex connectedVertex = e.GetToVertex();
DijkstraData data = connectedVertex.Tag as DijkstraData;
if (data.D > dd.D + e.Weight)
{
data.D = dd.D + e.Weight;
if (data.D < negativeCycleCheck)
{
throw new Exception("Negative cycle detected!");
}
data.Predecessor = dd.V;
if (!q.Contains(data))
{
q.Add(data);
data.InQ = true;
}
}
}
if (g.Directed)
{
continue;
}
foreach (Edge e in dd.V.GetInEdges())
{
Vertex connectedVertex = e.GetFromVertex();
DijkstraData data = connectedVertex.Tag as DijkstraData;
if (data.D > dd.D + e.Weight)
{
data.D = dd.D + e.Weight;
if (data.D < negativeCycleCheck)
{
throw new Exception("Negative cycle detected!");
}
data.Predecessor = dd.V;
if (!q.Contains(data))
{
q.Add(data);
data.InQ = true;
}
}
}
}
Output.WriteLine("Distance from selected vertex to:");
foreach (Vertex vertex in vertices)
{
Output.WriteLine(vertex.ToString() + " = " + (vertex.Tag as DijkstraData).D);
}
Output.WriteLine("[End Label Correcting Output]");
return tree;
}
public static List<Edge> BreadthFirstSearch(Graph g, int source, int goal)
{
//Does a breadth-first search and finds the shortest path between the source and the goal
//Returns null if no path exists
bool found = false;
bool directed = g.Directed;
List<object> tags = new List<object>();
List<Edge> path = new List<Edge>();
foreach (Vertex v in g.GetVertices())
{
tags.Add(v.Tag);
v.Tag = null;
}
Queue<Vertex> q = new Queue<Vertex>();
Vertex sourceVert = g.GetVertices()[source];
Vertex goalVert = g.GetVertices()[goal];
q.Enqueue(sourceVert);
sourceVert.Tag = new BFSData(null);
while (q.Count > 0)
{
Vertex next = q.Dequeue();
if (next.Equals(goalVert))
{
found = true;
break;
}
foreach (Edge e in next.GetOutEdges())
{
Vertex toVert = e.GetToVertex();
if (toVert.Tag != null)
{
continue;
}
else
{
toVert.Tag = e;
q.Enqueue(toVert);
}
}
if (!directed)
{
foreach (Edge e in next.GetInEdges())
{
Vertex toVert = e.GetFromVertex();
if (toVert.Tag != null)
{
continue;
}
else
{
toVert.Tag = e;
q.Enqueue(toVert);
}
}
}
}
if (!found)
{
return null;
}
Edge currentEdge = goalVert.Tag as Edge;
path.Add(currentEdge);
while (!currentEdge.GetFromVertex().Equals(sourceVert))
{
Vertex nextVert = currentEdge.GetFromVertex();
currentEdge = nextVert.Tag as Edge;
path.Add(currentEdge);
}
path.Reverse();
for (int i = 0; i < tags.Count; i++)
{
g.GetVertices()[i].Tag = tags[i];
}
return path;
}
public static Graph GenerateRandomGraph(int n)
{
float prob = 0.2f;
Graph g = new Graph();
g.Directed = false;
for (int i = 0; i < n; i++)
{
Vertex v = new Vertex();
g.AddVertex(v);
}
Random r = new Random();
//Randomly decide when to add an edge between any two pairs
foreach (Vertex v in g.GetVertices())
{
foreach (Vertex u in g.GetVertices())
{
if (!v.Equals(u))
{
double random = r.NextDouble();
if (random >= 0 && random <= prob)
{
g.AddEdge(new Edge(v, u, (float)r.NextDouble()));
}
}
}
}
foreach (Vertex v in g.GetVertices())
{
VertexClassification vc = ClassifyVertex(v);
Output.WriteLine("Vertex " + v.ToString() + " is " + vc.ToString());
}
return g;
}
public static Graph KruskalMST(Graph g)
{
Graph copy = new Graph();
Graph mst = new Graph();
//Create a copy to preserve g's state
g.CopyTo(copy);
List<Edge> edges = copy.GetEdges();
List<Vertex> vertices = copy.GetVertices();
for (int i = 0; i < vertices.Count; i++)
{
//Associate each vertex with a set of vertices
//Initially, each vertex belongs to its own set
List<Vertex> vertexSet = new List<Vertex>();
vertexSet.Add(vertices[i]);
vertices[i].Tag = vertexSet;
mst.AddVertex(vertices[i]);
}
//We don't want to consider edges going in the opposite direction
List<Edge> filteredEdges = new List<Edge>();
for (int i = 0; i < edges.Count; i += 2)
{
filteredEdges.Add(edges[i]);
}
filteredEdges.Sort(delegate(Edge e1, Edge e2)
{
return e1.Weight.CompareTo(e2.Weight);
});
//Have counter that counts number of edges used.
//If it equals the total number of edges then the original graph was disconnected
int edgeIndex = 0;
//Loop through all the edges
while (edgeIndex < filteredEdges.Count/* && mst.GetEdges().Count < g.GetVertices().Count - 1*/)
{
//Walk up the array instead of removing the vertex
Edge minEdge = filteredEdges[edgeIndex];
//Get the sets associated with the vertices on the minEdge
List<Vertex> fromSet = minEdge.GetFromVertex().Tag as List<Vertex>;
List<Vertex> toSet = minEdge.GetToVertex().Tag as List<Vertex>;
//If these two sets are not the same set...
if (!fromSet.Equals(toSet))
{
//...then add the edge to the MST
string fromLabel = minEdge.GetFromVertex().Label;
string toLabel = minEdge.GetToVertex().Label;
mst.AddEdge(minEdge);
minEdge.GetFromVertex().Label = fromLabel;
minEdge.GetToVertex().Label = toLabel;
//Merge the two vertices' sets together
List<Vertex> newList = fromSet.Union(toSet).ToList<Vertex>();
foreach (Vertex v in newList)
{
v.Tag = newList;
}
minEdge.GetFromVertex().Tag = newList;
minEdge.GetToVertex().Tag = newList;
}
//Offset by 2 because we're ignoring edges that go in the opposite direction
edgeIndex++;
}
return mst;
}
public static Graph CreateResidualNetwork(FlowNetwork fn)
{
FlowNetwork copy = new FlowNetwork();
fn.CopyTo(copy);
Graph g = new Graph();
g.Directed = true;
for (int i = 0; i < copy.GetVertices().Count; i++)
{
Vertex v = copy.GetVertices()[i];
v.Tag = i;
v.RemoveAllEdges();
g.AddVertex(v);
}
foreach (FlowEdge e in copy.GetEdges())
{
float backflow = e.CurrentFlow;
float capacity = e.Capacity;
float forwardFlow = capacity - backflow;
Vertex fromVertex = e.GetFromVertex();
Vertex toVertex = e.GetToVertex();
int fromIndex = (int)fromVertex.Tag;
int toindex = (int)toVertex.Tag;
Vertex newTo = g.GetVertices()[toindex];
Vertex newFrom = g.GetVertices()[fromIndex];
if (backflow > 0)
{
Edge backEdge = new Edge(newTo, newFrom, backflow);
g.AddEdge(backEdge);
}
if (forwardFlow > 0)
{
Edge forwardEdge = new Edge(newFrom, newTo, forwardFlow);
g.AddEdge(forwardEdge);
}
}
return g;
}
public static Graph Dijkstra(Graph g, int vert, bool directed)
{
Output.WriteLine("[Dijkstra Output]");
//If I get a negative edge weight, tell user to use label correcting instead of dijkstra's
//Change this to assume g is an undirected graph
//Keep a heap of vertices, based on their distance label
//Each one is initially infinity, except the intial vertex, which is 0
Graph copy = new Graph();
Graph tree = new Graph();
//Create a copy to preserve g's state
g.CopyTo(copy);
List<Vertex> vertices = copy.GetVertices();
List<Edge> edges = copy.GetEdges();
DijkstraData v = new DijkstraData();
v.Predecessor = null;
v.InQ = false;
v.V = vertices[vert];
v.D = 0;
v.InTree = false;
v.EdgeLength = float.PositiveInfinity;
vertices[vert].Tag = v;
Heap<DijkstraData> q = new Heap<DijkstraData>(true);
q.Add(vertices[vert].Tag as DijkstraData);
(vertices[vert].Tag as DijkstraData).InQ = true;
foreach (Vertex u in vertices)
{
if (!v.V.Equals(u))
{
DijkstraData dd = new DijkstraData();
dd.D = float.PositiveInfinity;
dd.V = u;
dd.InTree = false;
u.Tag = dd;
q.Add(dd);
dd.InQ = true;
}
}
foreach (Edge e in edges)
{
if (e.Weight < 0)
{
Output.WriteLine("Negative edge weight detected. Use Label Correcting instead of Dijkstra");
return null;
}
}
while (q.HasNext())
{
DijkstraData dd = q.Next();
dd.InQ = false;
/*if (dd.Predecessor == null)
{
tree.AddVertex(dd.V);
dd.InTree = true;
}
else
{
tree.AddEdge(new Edge(dd.Predecessor, dd.V, dd.EdgeLength));
dd.InTree = true;
}*/
foreach (Edge e in dd.V.GetOutEdges())
{
Vertex connectedVertex = e.GetToVertex();
DijkstraData data = connectedVertex.Tag as DijkstraData;
if (data.InQ)
{
if (dd.D + e.Weight < data.D)
{
if (dd.D + e.Weight < data.D)
{
data.D = dd.D + e.Weight;
q.Update(data);
}
}
}
}
//If this is a directed graph, don't consider in edges
if (directed)
{
continue;
}
foreach (Edge e in dd.V.GetInEdges())
{
Vertex connectedVertex = e.GetFromVertex();
DijkstraData data = connectedVertex.Tag as DijkstraData;
if (data.InQ)
{
if (dd.D + e.Weight < data.D)
{
data.D = dd.D + e.Weight;
q.Update(data);
}
}
}
}
Output.WriteLine("Distance from selected vertex to:");
foreach (Vertex vertex in vertices)
{
Output.WriteLine(vertex.ToString() + " = " + (vertex.Tag as DijkstraData).D);
}
Output.WriteLine("[End Dijkstra Output]");
return tree;
}
public void CopyTo(Graph to)
{
//Only the linked structure needs to be copied
//The matrix gets copied implicitly
if (to as FlowNetwork != null)
{
copyLinkedGraph(to as FlowNetwork);
}
else
{
copyLinkedGraph(to);
}
}
private void checkNullGraph(Graph g)
{
if (g == null)
{
throw new Exception("Can't operate a null graph");
}
}
public Graph NewRandomGraph(string name, int n)
{
Graph g = GraphAlgorithms.GenerateRandomGraph(n);
g.Name = name;
graphs.Add(g);
currentGraph = g;
return g;
}
private static void TestMatrixStuff()
{
Graph g = new Graph();
g.Directed = true;
Vertex v1 = new Vertex();
Vertex v2 = new Vertex();
Vertex v3 = new Vertex();
Vertex v4 = new Vertex();
g.AddVertex(v1);
g.AddVertex(v2);
g.AddVertex(v3);
g.AddVertex(v4);
g.AddEdge(new Edge(v2, v1, 25f));
g.AddEdge(new Edge(v1, v3, 10f));
g.RemoveEdge(g.GetEdges()[1]);
g.AddEdge(new Edge(v4, v2, 7f));
g.RemoveVertex(v1);
g.RemoveVertex(v2);
g.AddEdge(new Edge(v3, v4, 30f));
g.AddEdge(new Edge(v4, v3, 27f));
Console.WriteLine("Testing graph insertion and deletion");
g.PrintMatrix();
Console.WriteLine();
Graph g2 = new Graph();
g.CopyTo(g2);
g2.PrintMatrix();
}
private static void TestLabelCorrecting()
{
//Graph for figure 5.10 part A
Graph g = new Graph();
g.Directed = true;
Vertex v1 = new Vertex();
Vertex v2 = new Vertex();
Vertex v3 = new Vertex();
Vertex v4 = new Vertex();
Vertex v5 = new Vertex();
Vertex v6 = new Vertex();
g.AddEdge(new Edge(v1, v2, 10));
g.AddEdge(new Edge(v1, v3, 15));
g.AddEdge(new Edge(v2, v3, 25));
g.AddEdge(new Edge(v3, v2, -20));
g.AddEdge(new Edge(v2, v4, 0));
g.AddEdge(new Edge(v2, v5, 5));
g.AddEdge(new Edge(v4, v5, -5));
g.AddEdge(new Edge(v5, v4, 10));
g.AddEdge(new Edge(v5, v3, 30));
Console.WriteLine("Label Correcting Output:");
Graph labelCorrect = GraphAlgorithms.LabelCorrecting(g, 0);
}
private static void TestDominatingSets()
{
Graph g = new Graph();
g.Directed = false;
Vertex v1 = new Vertex();
Vertex v2 = new Vertex();
Vertex v3 = new Vertex();
Vertex v4 = new Vertex();
Vertex v5 = new Vertex();
Vertex v6 = new Vertex();
Vertex v7 = new Vertex();
g.AddEdge(new Edge(v1, v2));
g.AddEdge(new Edge(v2, v3));
g.AddEdge(new Edge(v3, v4));
g.AddEdge(new Edge(v4, v5));
g.AddEdge(new Edge(v5, v6));
g.AddEdge(new Edge(v6, v7));
//GraphAlgorithms.MinimumDominatingSet(g);
g.AddEdge(new Edge(v7, v1));
GraphAlgorithms.MinimumDominatingSet(g);
}
private static void TestDijkstra()
{
//Graph for figure 4.15 part A
Graph g = new Graph();
Vertex u1 = new Vertex();
Vertex u2 = new Vertex();
Vertex u3 = new Vertex();
Vertex u4 = new Vertex();
Vertex u5 = new Vertex();
Vertex u6 = new Vertex();
g.AddEdge(new Edge(u1, u2, 2));
g.AddEdge(new Edge(u1, u3, 8));
g.AddEdge(new Edge(u2, u3, 5));
g.AddEdge(new Edge(u2, u4, 3));
g.AddEdge(new Edge(u3, u2, 6));
g.AddEdge(new Edge(u3, u5, 0));
g.AddEdge(new Edge(u4, u3, 1));
g.AddEdge(new Edge(u4, u5, 7));
g.AddEdge(new Edge(u4, u6, 6));
g.AddEdge(new Edge(u5, u4, 4));
g.AddEdge(new Edge(u6, u5, 2));
Console.WriteLine("Dijkstra Output:");
Graph tree = GraphAlgorithms.Dijkstra(g, 0, true);
}
private void copyLinkedGraph(Graph to)
{
to.Clear();
to.Directed = this.Directed;
for (int i = 0; i < this.GetVertices().Count; i++)
{
vertices[i].Tag = i;
Vertex v = new Vertex();
v.Tag = i;
to.AddVertex(v);
}
for (int i = this.GetEdges().Count-1; i >= 0; i--)
{
Edge currentEdge = this.GetEdges()[i];
Vertex v1 = new Vertex();
v1.Label = currentEdge.GetFromVertex().Label;
int cd = (int)currentEdge.GetFromVertex().Tag;
if ((int)to.GetVertices()[cd].Tag == cd)
{
v1 = to.GetVertices()[cd];
}
Vertex v2 = new Vertex();
v2.Label = currentEdge.GetToVertex().Label;
int cd2 = (int)currentEdge.GetToVertex().Tag;
if ((int)to.GetVertices()[cd2].Tag == cd2)
{
v2 = to.GetVertices()[cd2];
}
Edge e = currentEdge;
e = new Edge(v1, v2, currentEdge.Weight);
to.AddEdge(e);
}
}
public void SetCurrentGraph(Graph g)
{
checkNullGraph(g);
currentGraph = g;
}
