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| 1 | +#include <bits/stdc++.h> |
| 2 | +using namespace std; |
| 3 | + |
| 4 | +/* |
| 5 | +====================================================== |
| 6 | +Prim's Algorithm: Minimum Spanning Tree (MST) |
| 7 | +====================================================== |
| 8 | +Description: |
| 9 | +Prim's algorithm finds the Minimum Spanning Tree (MST) of a weighted |
| 10 | +undirected graph. The MST is a subset of edges connecting all vertices |
| 11 | +with the minimum total edge weight, without forming cycles. |
| 12 | +
|
| 13 | +Approach: |
| 14 | +1. Start with a single vertex (we start with vertex 0). |
| 15 | +2. Pick the smallest edge connecting a vertex in MST to a vertex outside MST. |
| 16 | +3. Include that edge and repeat until all vertices are included in MST. |
| 17 | +
|
| 18 | +Time Complexity: |
| 19 | +- O(V^2), where V is the number of vertices (using adjacency matrix). |
| 20 | +- Using priority queues (min-heap) can reduce it to O(E log V). |
| 21 | +
|
| 22 | +Space Complexity: |
| 23 | +- O(V^2) for adjacency matrix. |
| 24 | +====================================================== |
| 25 | +*/ |
| 26 | + |
| 27 | +const int INF = 1e9; // Infinity value for initialization |
| 28 | + |
| 29 | +int main() { |
| 30 | + int n; // Number of vertices |
| 31 | + cout << "Enter number of vertices: "; |
| 32 | + cin >> n; |
| 33 | + |
| 34 | + // Input adjacency matrix |
| 35 | + vector<vector<int>> graph(n, vector<int>(n)); |
| 36 | + cout << "Enter adjacency matrix (0 for no edge):\n"; |
| 37 | + for (int i = 0; i < n; i++) { |
| 38 | + for (int j = 0; j < n; j++) { |
| 39 | + cin >> graph[i][j]; |
| 40 | + } |
| 41 | + } |
| 42 | + |
| 43 | + // key[i] -> Minimum weight edge to include vertex i in MST |
| 44 | + vector<int> key(n, INF); |
| 45 | + |
| 46 | + // inMST[i] -> True if vertex i is included in MST |
| 47 | + vector<bool> inMST(n, false); |
| 48 | + |
| 49 | + // parent[i] -> Stores the parent of vertex i in MST |
| 50 | + vector<int> parent(n, -1); |
| 51 | + |
| 52 | + // Start from vertex 0 |
| 53 | + key[0] = 0; |
| 54 | + |
| 55 | + // MST will have n vertices |
| 56 | + for (int count = 0; count < n - 1; count++) { |
| 57 | + // Step 1: Pick the minimum key vertex from the set of vertices not yet included in MST |
| 58 | + int u = -1; |
| 59 | + int minKey = INF; |
| 60 | + |
| 61 | + for (int v = 0; v < n; v++) { |
| 62 | + if (!inMST[v] && key[v] < minKey) { |
| 63 | + minKey = key[v]; |
| 64 | + u = v; |
| 65 | + } |
| 66 | + } |
| 67 | + |
| 68 | + // Step 2: Include this vertex in MST |
| 69 | + inMST[u] = true; |
| 70 | + |
| 71 | + // Step 3: Update key and parent for adjacent vertices |
| 72 | + for (int v = 0; v < n; v++) { |
| 73 | + // If there is an edge u-v and v is not in MST and weight is smaller |
| 74 | + if (graph[u][v] != 0 && !inMST[v] && graph[u][v] < key[v]) { |
| 75 | + key[v] = graph[u][v]; |
| 76 | + parent[v] = u; |
| 77 | + } |
| 78 | + } |
| 79 | + } |
| 80 | + |
| 81 | + // Print the MST |
| 82 | + cout << "\nEdges in the Minimum Spanning Tree (MST):\n"; |
| 83 | + cout << "Edge \tWeight\n"; |
| 84 | + for (int i = 1; i < n; i++) { |
| 85 | + cout << parent[i] << " - " << i << "\t" << graph[i][parent[i]] << "\n"; |
| 86 | + } |
| 87 | + |
| 88 | + return 0; |
| 89 | +} |
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