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 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 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 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;
}
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();
}
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 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 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);
}