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GeezerVison is showing github.com — Java/Programs/PrimsAlgorithm.java at main · PrajaktaSathe/Java Expand file tree/ Copy pathPrimsAlgorithm.javaMore file actions 101 lines (83 loc) · 2.71 KB / Copy pathPrimsAlgorithm.javaFile metadata and controls101 lines (83 loc) · 2.71 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 // A Java program for Prim's Minimum Spanning Tree (MST) algorithm. // The program is for adjacency matrix representation of the graph import java.util.*; import java.lang.*; import java.io.*; class MST { // Number of vertices in the graph private static final int V = 5; // A utility function to find the vertex with minimum key // value, from the set of vertices not yet included in MST int minKey(int key[], Boolean mstSet[]) { // Initialize min value int min = Integer.MAX_VALUE, min_index = -1; for (int v = 0; v < V; v++) if (mstSet[v] == false && key[v] < min) { min = key[v]; min_index = v; } return min_index; } // A utility function to print the constructed MST stored in // parent[] void printMST(int parent[], int graph[][]) { System.out.println("Edge \tWeight"); for (int i = 1; i < V; i++) System.out.println(parent[i] + " - " + i + "\t" + graph[i][parent[i]]); } // Function to construct and print MST for a graph represented // using adjacency matrix representation void primMST(int graph[][]) { // Array to store constructed MST int parent[] = new int[V]; // Key values used to pick minimum weight edge in cut int key[] = new int[V]; // To represent set of vertices included in MST Boolean mstSet[] = new Boolean[V]; // Initialize all keys as INFINITE for (int i = 0; i < V; i++) { key[i] = Integer.MAX_VALUE; mstSet[i] = false; } // Always include first 1st vertex in MST. key[0] = 0; // Make key 0 so that this vertex is // picked as first vertex parent[0] = -1; // First node is always root of MST // The MST will have V vertices for (int count = 0; count < V - 1; count++) { // Pick thd minimum key vertex from the set of vertices // not yet included in MST int u = minKey(key, mstSet); // Add the picked vertex to the MST Set mstSet[u] = true; // Update key value and parent index of the adjacent // vertices of the picked vertex. Consider only those // vertices which are not yet included in MST for (int v = 0; v < V; v++) // graph[u][v] is non zero only for adjacent vertices of m // mstSet[v] is false for vertices not yet included in MST // Update the key only if graph[u][v] is smaller than key[v] if (graph[u][v] != 0 && mstSet[v] == false && graph[u][v] < key[v]) { parent[v] = u; key[v] = graph[u][v]; } } // print the constructed MST printMST(parent, graph); } public static void main(String[] args) { MST t = new MST(); int graph[][] = new int[][] { { 0, 2, 0, 6, 0 }, { 2, 0, 3, 8, 5 }, { 0, 3, 0, 0, 7 }, { 6, 8, 0, 0, 9 }, { 0, 5, 7, 9, 0 } }; // Print the solution t.primMST(graph); } } // This code is contributed by Samrat Mitra |
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