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112 lines
4.6 KiB
Java

5 years ago
/*This Java program is to Implement Bellman-Ford algorithm.The BellmanFord 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 capable of handling graphs in which some of the edge weights are negative numbers.*/
import java.util.Scanner;
public class BellmanFord
{
private int distances[];
private int numberofvertices;
public static final int MAX_VALUE = 999;
public BellmanFord(int numberofvertices)
{
this.numberofvertices = numberofvertices;
distances = new int[numberofvertices + 1];
}
public void BellmanFordEvaluation(int source, int adjacencymatrix[][])
{
for (int node = 1; node <= numberofvertices; node++)
{
distances[node] = MAX_VALUE;
}
distances[source] = 0;
for (int node = 1; node <= numberofvertices - 1; node++)
{
for (int sourcenode = 1; sourcenode <= numberofvertices; sourcenode++)
{
for (int destinationnode = 1; destinationnode <= numberofvertices; destinationnode++)
{
if (adjacencymatrix[sourcenode][destinationnode] != MAX_VALUE)
{
if (distances[destinationnode] > distances[sourcenode]
+ adjacencymatrix[sourcenode][destinationnode])
distances[destinationnode] = distances[sourcenode]
+ adjacencymatrix[sourcenode][destinationnode];
}
}
}
}
for (int sourcenode = 1; sourcenode <= numberofvertices; sourcenode++)
{
for (int destinationnode = 1; destinationnode <= numberofvertices; destinationnode++)
{
if (adjacencymatrix[sourcenode][destinationnode] != MAX_VALUE)
{
if (distances[destinationnode] > distances[sourcenode]
+ adjacencymatrix[sourcenode][destinationnode])
System.out.println("The Graph contains negative egde cycle");
}
}
}
for (int vertex = 1; vertex <= numberofvertices; vertex++)
{
System.out.println("distance of source " + source + " to "
+ vertex + " is " + distances[vertex]);
}
}
public static void main(String... arg)
{
int numberofvertices = 0;
int source;
Scanner scanner = new Scanner(System.in);
System.out.println("Enter the number of vertices");
numberofvertices = scanner.nextInt();
int adjacencymatrix[][] = new int[numberofvertices + 1][numberofvertices + 1];
System.out.println("Enter the adjacency matrix");
for (int sourcenode = 1; sourcenode <= numberofvertices; sourcenode++)
{
for (int destinationnode = 1; destinationnode <= numberofvertices; destinationnode++)
{
adjacencymatrix[sourcenode][destinationnode] = scanner.nextInt();
if (sourcenode == destinationnode)
{
adjacencymatrix[sourcenode][destinationnode] = 0;
continue;
}
if (adjacencymatrix[sourcenode][destinationnode] == 0)
{
adjacencymatrix[sourcenode][destinationnode] = MAX_VALUE;
}
}
}
System.out.println("Enter the source vertex");
source = scanner.nextInt();
BellmanFord bellmanford = new BellmanFord(numberofvertices);
bellmanford.BellmanFordEvaluation(source, adjacencymatrix);
scanner.close();
}
}
/*
Enter the number of vertices
6
Enter the adjacency matrix
0 4 0 0 -1 0
0 0 -1 0 -2 0
0 0 0 0 0 0
0 0 0 0 0 0
0 0 0 -5 0 3
0 0 0 0 0 0
Enter the source vertex
1
distance of source 1 to 1 is 0
distance of source 1 to 2 is 4
distance of source 1 to 3 is 3
distance of source 1 to 4 is -6
distance of source 1 to 5 is -1
distance of source 1 to 6 is 2