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| 1 | + |
| 2 | +import java.util.*; |
| 3 | + |
| 4 | +/** |
| 5 | + * Algorithm Name : Dijkstra Algorithm |
| 6 | + * Programming Language: Java |
| 7 | + * Category: Graph Algorithms |
| 8 | + * Difficulty Level: Medium (Intermediate) |
| 9 | + * |
| 10 | + * Problem Statement: |
| 11 | + * Implement Dijkstra’s Algorithm to find the shortest path from a single |
| 12 | + * source vertex to all other vertices in a weighted graph (non-negative edge weights) |
| 13 | + * using a priority queue (min-heap) for optimization. |
| 14 | + * |
| 15 | + * Requirements: |
| 16 | + * - Input: |
| 17 | + * Number of vertices: V |
| 18 | + * Number of edges: E |
| 19 | + * Edges with weights (u, v, w) |
| 20 | + * Starting vertex: s |
| 21 | + * - Output: |
| 22 | + * Shortest distance from source to all vertices |
| 23 | + * |
| 24 | + * Complexity: |
| 25 | + * - Time Complexity: O((V + E) * log V) |
| 26 | + * - Space Complexity: O(V + E) |
| 27 | + * |
| 28 | + * Additional Notes: |
| 29 | + * - Negative edge weights are not supported (Dijkstra assumes non-negative edges). |
| 30 | + */ |
| 31 | +public class DijkstraAlgorithm2 { |
| 32 | + |
| 33 | + // Inner class to represent a graph edge (destination vertex and weight) |
| 34 | + static class Edge { |
| 35 | + int vertex, weight; |
| 36 | + Edge(int vertex, int weight) { |
| 37 | + this.vertex = vertex; |
| 38 | + this.weight = weight; |
| 39 | + } |
| 40 | + } |
| 41 | + |
| 42 | + /** |
| 43 | + * Dijkstra’s Algorithm implementation. |
| 44 | + * Uses a PriorityQueue (min-heap) to efficiently get the vertex with the smallest distance. |
| 45 | + */ |
| 46 | + public static int[] dijkstra(List<List<Edge>> graph, int source, int V) { |
| 47 | + // Initialize distance array with "infinity" (here, Integer.MAX_VALUE) |
| 48 | + int[] dist = new int[V]; |
| 49 | + Arrays.fill(dist, Integer.MAX_VALUE); |
| 50 | + dist[source] = 0; |
| 51 | + |
| 52 | + // Min-heap: stores pairs (distance, vertex) |
| 53 | + PriorityQueue<int[]> pq = new PriorityQueue<>(Comparator.comparingInt(a -> a[0])); |
| 54 | + pq.offer(new int[]{0, source}); // distance = 0, vertex = source |
| 55 | + |
| 56 | + while (!pq.isEmpty()) { |
| 57 | + int[] current = pq.poll(); |
| 58 | + int currDist = current[0]; |
| 59 | + int u = current[1]; |
| 60 | + |
| 61 | + // Skip if we have already found a better distance |
| 62 | + if (currDist > dist[u]) continue; |
| 63 | + |
| 64 | + // Traverse all adjacent vertices |
| 65 | + for (Edge edge : graph.get(u)) { |
| 66 | + int v = edge.vertex; |
| 67 | + int weight = edge.weight; |
| 68 | + |
| 69 | + // Relaxation step: if found shorter path to v, update it |
| 70 | + if (dist[u] + weight < dist[v]) { |
| 71 | + dist[v] = dist[u] + weight; |
| 72 | + pq.offer(new int[]{dist[v], v}); |
| 73 | + } |
| 74 | + } |
| 75 | + } |
| 76 | + return dist; |
| 77 | + } |
| 78 | + |
| 79 | + /** |
| 80 | + * Utility function to add an edge to the adjacency list. |
| 81 | + * Since this example is for a directed graph — remove one addEdge call below for undirected. |
| 82 | + */ |
| 83 | + public static void addEdge(List<List<Edge>> graph, int u, int v, int w) { |
| 84 | + graph.get(u).add(new Edge(v, w)); |
| 85 | + } |
| 86 | + |
| 87 | + /** |
| 88 | + * Sample test cases: |
| 89 | + * - Small connected graph |
| 90 | + * - Graph with multiple paths |
| 91 | + * - Single-node graph |
| 92 | + */ |
| 93 | + public static void main(String[] args) { |
| 94 | + // Example 1: Small connected graph |
| 95 | + int V1 = 5; |
| 96 | + List<List<Edge>> graph1 = new ArrayList<>(); |
| 97 | + for (int i = 0; i < V1; i++) graph1.add(new ArrayList<>()); |
| 98 | + |
| 99 | + addEdge(graph1, 0, 1, 10); |
| 100 | + addEdge(graph1, 0, 4, 5); |
| 101 | + addEdge(graph1, 1, 2, 1); |
| 102 | + addEdge(graph1, 4, 1, 3); |
| 103 | + addEdge(graph1, 4, 2, 9); |
| 104 | + addEdge(graph1, 2, 3, 4); |
| 105 | + addEdge(graph1, 4, 3, 2); |
| 106 | + |
| 107 | + int source1 = 0; |
| 108 | + int[] dist1 = dijkstra(graph1, source1, V1); |
| 109 | + System.out.println("Shortest distances from vertex " + source1 + ": " + Arrays.toString(dist1)); |
| 110 | + System.out.println(); |
| 111 | + |
| 112 | + // Example 2: Graph with multiple paths |
| 113 | + int V2 = 4; |
| 114 | + List<List<Edge>> graph2 = new ArrayList<>(); |
| 115 | + for (int i = 0; i < V2; i++) graph2.add(new ArrayList<>()); |
| 116 | + |
| 117 | + addEdge(graph2, 0, 1, 1); |
| 118 | + addEdge(graph2, 0, 2, 4); |
| 119 | + addEdge(graph2, 1, 2, 2); |
| 120 | + addEdge(graph2, 1, 3, 6); |
| 121 | + addEdge(graph2, 2, 3, 3); |
| 122 | + |
| 123 | + int source2 = 0; |
| 124 | + int[] dist2 = dijkstra(graph2, source2, V2); |
| 125 | + System.out.println("Shortest distances from vertex " + source2 + ": " + Arrays.toString(dist2)); |
| 126 | + System.out.println(); |
| 127 | + |
| 128 | + // Example 3: Single-node graph |
| 129 | + int V3 = 1; |
| 130 | + List<List<Edge>> graph3 = new ArrayList<>(); |
| 131 | + for (int i = 0; i < V3; i++) graph3.add(new ArrayList<>()); |
| 132 | + |
| 133 | + int source3 = 0; |
| 134 | + int[] dist3 = dijkstra(graph3, source3, V3); |
| 135 | + System.out.println("Shortest distances from vertex " + source3 + ": " + Arrays.toString(dist3)); |
| 136 | + } |
| 137 | +} |
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