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| 1 | +package com.thealgorithms.graph; |
| 2 | + |
| 3 | +import java.util.ArrayList; |
| 4 | +import java.util.Collections; |
| 5 | +import java.util.List; |
| 6 | + |
| 7 | +/** |
| 8 | + * Kruskal's Algorithm for finding Minimum Spanning Tree (MST) |
| 9 | + * |
| 10 | + * Kruskal's algorithm is a greedy algorithm that finds a minimum spanning tree |
| 11 | + * for a connected weighted graph. It works by sorting all edges by weight and |
| 12 | + * adding them one by one to the MST if they don't form a cycle. |
| 13 | + * |
| 14 | + * Time Complexity: O(E log E) where E is the number of edges |
| 15 | + * Space Complexity: O(V + E) where V is the number of vertices |
| 16 | + * |
| 17 | + * @author YourName |
| 18 | + */ |
| 19 | +public final class KruskalsAlgorithm { |
| 20 | + private KruskalsAlgorithm() { |
| 21 | + } |
| 22 | + |
| 23 | + /** |
| 24 | + * Edge class representing a weighted edge in the graph |
| 25 | + */ |
| 26 | + static class Edge implements Comparable<Edge> { |
| 27 | + int src; |
| 28 | + int dest; |
| 29 | + int weight; |
| 30 | + |
| 31 | + Edge(int src, int dest, int weight) { |
| 32 | + this.src = src; |
| 33 | + this.dest = dest; |
| 34 | + this.weight = weight; |
| 35 | + } |
| 36 | + |
| 37 | + @Override |
| 38 | + public int compareTo(Edge other) { |
| 39 | + return Integer.compare(this.weight, other.weight); |
| 40 | + } |
| 41 | + } |
| 42 | + |
| 43 | + /** |
| 44 | + * Disjoint Set (Union-Find) data structure |
| 45 | + */ |
| 46 | + static class DisjointSet { |
| 47 | + private final int[] parent; |
| 48 | + private final int[] rank; |
| 49 | + |
| 50 | + DisjointSet(int n) { |
| 51 | + parent = new int[n]; |
| 52 | + rank = new int[n]; |
| 53 | + for (int i = 0; i < n; i++) { |
| 54 | + parent[i] = i; |
| 55 | + rank[i] = 0; |
| 56 | + } |
| 57 | + } |
| 58 | + |
| 59 | + /** |
| 60 | + * Find the representative (root) of the set containing element x |
| 61 | + * Uses path compression for optimization |
| 62 | + */ |
| 63 | + int find(int x) { |
| 64 | + if (parent[x] != x) { |
| 65 | + parent[x] = find(parent[x]); // Path compression |
| 66 | + } |
| 67 | + return parent[x]; |
| 68 | + } |
| 69 | + |
| 70 | + /** |
| 71 | + * Unite two sets containing elements x and y |
| 72 | + * Uses union by rank for optimization |
| 73 | + */ |
| 74 | + void union(int x, int y) { |
| 75 | + int rootX = find(x); |
| 76 | + int rootY = find(y); |
| 77 | + |
| 78 | + if (rootX == rootY) { |
| 79 | + return; |
| 80 | + } |
| 81 | + |
| 82 | + // Union by rank |
| 83 | + if (rank[rootX] < rank[rootY]) { |
| 84 | + parent[rootX] = rootY; |
| 85 | + } else if (rank[rootX] > rank[rootY]) { |
| 86 | + parent[rootY] = rootX; |
| 87 | + } else { |
| 88 | + parent[rootY] = rootX; |
| 89 | + rank[rootX]++; |
| 90 | + } |
| 91 | + } |
| 92 | + } |
| 93 | + |
| 94 | + /** |
| 95 | + * Find Minimum Spanning Tree using Kruskal's Algorithm |
| 96 | + * |
| 97 | + * @param vertices Number of vertices in the graph |
| 98 | + * @param edges List of edges in the graph |
| 99 | + * @return List of edges in the Minimum Spanning Tree |
| 100 | + */ |
| 101 | + public static List<Edge> kruskalMST(int vertices, List<Edge> edges) { |
| 102 | + List<Edge> mst = new ArrayList<>(); |
| 103 | + |
| 104 | + // Sort edges by weight in ascending order |
| 105 | + Collections.sort(edges); |
| 106 | + |
| 107 | + DisjointSet ds = new DisjointSet(vertices); |
| 108 | + |
| 109 | + // Iterate through sorted edges |
| 110 | + for (Edge edge : edges) { |
| 111 | + int srcRoot = ds.find(edge.src); |
| 112 | + int destRoot = ds.find(edge.dest); |
| 113 | + |
| 114 | + // If including this edge doesn't form a cycle, add it to MST |
| 115 | + if (srcRoot != destRoot) { |
| 116 | + mst.add(edge); |
| 117 | + ds.union(srcRoot, destRoot); |
| 118 | + |
| 119 | + // MST is complete when we have V-1 edges |
| 120 | + if (mst.size() == vertices - 1) { |
| 121 | + break; |
| 122 | + } |
| 123 | + } |
| 124 | + } |
| 125 | + |
| 126 | + return mst; |
| 127 | + } |
| 128 | + |
| 129 | + /** |
| 130 | + * Calculate total weight of the MST |
| 131 | + * |
| 132 | + * @param mst List of edges in the Minimum Spanning Tree |
| 133 | + * @return Total weight of the MST |
| 134 | + */ |
| 135 | + public static int getMSTWeight(List<Edge> mst) { |
| 136 | + int totalWeight = 0; |
| 137 | + for (Edge edge : mst) { |
| 138 | + totalWeight += edge.weight; |
| 139 | + } |
| 140 | + return totalWeight; |
| 141 | + } |
| 142 | + |
| 143 | + /** |
| 144 | + * Main method for testing |
| 145 | + */ |
| 146 | + public static void main(String[] args) { |
| 147 | + int vertices = 4; |
| 148 | + List<Edge> edges = new ArrayList<>(); |
| 149 | + |
| 150 | + // Example graph |
| 151 | + edges.add(new Edge(0, 1, 10)); |
| 152 | + edges.add(new Edge(0, 2, 6)); |
| 153 | + edges.add(new Edge(0, 3, 5)); |
| 154 | + edges.add(new Edge(1, 3, 15)); |
| 155 | + edges.add(new Edge(2, 3, 4)); |
| 156 | + |
| 157 | + List<Edge> mst = kruskalMST(vertices, edges); |
| 158 | + |
| 159 | + System.out.println("Edges in the Minimum Spanning Tree:"); |
| 160 | + for (Edge edge : mst) { |
| 161 | + System.out.println(edge.src + " -- " + edge.dest + " : " + edge.weight); |
| 162 | + } |
| 163 | + |
| 164 | + System.out.println("\nTotal weight of MST: " + getMSTWeight(mst)); |
| 165 | + } |
| 166 | +} |
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