/*This Java program is to find MST using Prim’s algorithm.In computer science, Prim’s algorithm is a greedy algorithm that finds a minimum spanning tree for a connected weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.*/ import java.util.InputMismatchException; import java.util.Scanner; public class Prims { private boolean unsettled[]; private boolean settled[]; private int numberofvertices; private int adjacencyMatrix[][]; private int key[]; public static final int INFINITE = 999; private int parent[]; public Prims(int numberofvertices) { this.numberofvertices = numberofvertices; unsettled = new boolean[numberofvertices + 1]; settled = new boolean[numberofvertices + 1]; adjacencyMatrix = new int[numberofvertices + 1][numberofvertices + 1]; key = new int[numberofvertices + 1]; parent = new int[numberofvertices + 1]; } public int getUnsettledCount(boolean unsettled[]) { int count = 0; for (int index = 0; index < unsettled.length; index++) { if (unsettled[index]) { count++; } } return count; } public void primsAlgorithm(int adjacencyMatrix[][]) { int evaluationVertex; for (int source = 1; source <= numberofvertices; source++) { for (int destination = 1; destination <= numberofvertices; destination++) { this.adjacencyMatrix[source][destination] = adjacencyMatrix[source][destination]; } } for (int index = 1; index <= numberofvertices; index++) { key[index] = INFINITE; } key[1] = 0; unsettled[1] = true; parent[1] = 1; while (getUnsettledCount(unsettled) != 0) { evaluationVertex = getMimumKeyVertexFromUnsettled(unsettled); unsettled[evaluationVertex] = false; settled[evaluationVertex] = true; evaluateNeighbours(evaluationVertex); } } private int getMimumKeyVertexFromUnsettled(boolean[] unsettled2) { int min = Integer.MAX_VALUE; int node = 0; for (int vertex = 1; vertex <= numberofvertices; vertex++) { if (unsettled[vertex] == true && key[vertex] < min) { node = vertex; min = key[vertex]; } } return node; } public void evaluateNeighbours(int evaluationVertex) { for (int destinationvertex = 1; destinationvertex <= numberofvertices; destinationvertex++) { if (settled[destinationvertex] == false) { if (adjacencyMatrix[evaluationVertex][destinationvertex] != INFINITE) { if (adjacencyMatrix[evaluationVertex][destinationvertex] < key[destinationvertex]) { key[destinationvertex] = adjacencyMatrix[evaluationVertex][destinationvertex]; parent[destinationvertex] = evaluationVertex; } unsettled[destinationvertex] = true; } } } } public void printMST() { System.out.println("SOURCE : DESTINATION = WEIGHT"); for (int vertex = 2; vertex <= numberofvertices; vertex++) { System.out.println(parent[vertex] + "\t:\t" + vertex +"\t=\t"+ adjacencyMatrix[parent[vertex]][vertex]); } } public static void main(String... arg) { int adjacency_matrix[][]; int number_of_vertices; Scanner scan = new Scanner(System.in); try { System.out.println("Enter the number of vertices"); number_of_vertices = scan.nextInt(); adjacency_matrix = new int[number_of_vertices + 1][number_of_vertices + 1]; System.out.println("Enter the Weighted Matrix for the graph"); for (int i = 1; i <= number_of_vertices; i++) { for (int j = 1; j <= number_of_vertices; j++) { adjacency_matrix[i][j] = scan.nextInt(); if (i == j) { adjacency_matrix[i][j] = 0; continue; } if (adjacency_matrix[i][j] == 0) { adjacency_matrix[i][j] = INFINITE; } } } Prims prims = new Prims(number_of_vertices); prims.primsAlgorithm(adjacency_matrix); prims.printMST(); } catch (InputMismatchException inputMismatch) { System.out.println("Wrong Input Format"); } scan.close(); } } /* Enter the number of vertices 5 Enter the Weighted Matrix for the graph 0 4 0 0 5 4 0 3 6 1 0 3 0 6 2 0 6 6 0 7 5 1 2 7 0 SOURCE : DESTINATION = WEIGHT 1 : 2 = 4 5 : 3 = 2 2 : 4 = 6 2 : 5 = 1