Bellman–Ford Algorithm

Bellman–Ford algorithm, also known as Bellman–Ford–Moore algorithm, is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph. It is slower than Dijkstra's algorithm for the same problem, but more versatile, as it is capable of handling graphs in which some of the edge weights are negative numbers.



									public struct Edge
{
	public int Source;
	public int Destination;
	public int Weight;
}

public struct Graph
{
	public int VerticesCount;
	public int EdgesCount;
	public Edge[] edge;
}

public static Graph CreateGraph(int verticesCount, int edgesCount)
{
	Graph graph = new Graph();
	graph.VerticesCount = verticesCount;
	graph.EdgesCount = edgesCount;
	graph.edge = new Edge[graph.EdgesCount];

	return graph;
}

private static void Print(int[] distance, int count)
{
	Console.WriteLine("Vertex   Distance from source");

	for (int i = 0; i < count; ++i)
		Console.WriteLine("{0}\t {1}", i, distance[i]);
}

public static void BellmanFord(Graph graph, int source)
{
	int verticesCount = graph.VerticesCount;
	int edgesCount = graph.EdgesCount;
	int[] distance = new int[verticesCount];

	for (int i = 0; i < verticesCount; i++)
		distance[i] = int.MaxValue;

	distance[source] = 0;

	for (int i = 1; i <= verticesCount - 1; ++i)
	{
		for (int j = 0; j < edgesCount; ++j)
		{
			int u = graph.edge[j].Source;
			int v = graph.edge[j].Destination;
			int weight = graph.edge[j].Weight;

			if (distance[u] != int.MaxValue && distance[u] + weight < distance[v])
				distance[v] = distance[u] + weight;
		}
	}

	for (int i = 0; i < edgesCount; ++i)
	{
		int u = graph.edge[i].Source;
		int v = graph.edge[i].Destination;
		int weight = graph.edge[i].Weight;

		if (distance[u] != int.MaxValue && distance[u] + weight < distance[v])
			Console.WriteLine("Graph contains negative weight cycle.");
	}

	Print(distance, verticesCount);
}
								


Example

									int verticesCount = 5;
int edgesCount = 8;
Graph graph = CreateGraph(verticesCount, edgesCount);

// Edge 0-1
graph.edge[0].Source = 0;
graph.edge[0].Destination = 1;
graph.edge[0].Weight = -1;

// Edge 0-2
graph.edge[1].Source = 0;
graph.edge[1].Destination = 2;
graph.edge[1].Weight = 4;

// Edge 1-2
graph.edge[2].Source = 1;
graph.edge[2].Destination = 2;
graph.edge[2].Weight = 3;

// Edge 1-3
graph.edge[3].Source = 1;
graph.edge[3].Destination = 3;
graph.edge[3].Weight = 2;

// Edge 1-4
graph.edge[4].Source = 1;
graph.edge[4].Destination = 4;
graph.edge[4].Weight = 2;

// Edge 3-2
graph.edge[5].Source = 3;
graph.edge[5].Destination = 2;
graph.edge[5].Weight = 5;

// Edge 3-1
graph.edge[6].Source = 3;
graph.edge[6].Destination = 1;
graph.edge[6].Weight = 1;

// Edge 4-3
graph.edge[7].Source = 4;
graph.edge[7].Destination = 3;
graph.edge[7].Weight = -3;

BellmanFord(graph, 0);
								


Output

									Vertex   Distance from source
0        0
1        -1
2        2
3        -2
4        1