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Find Transitive Closure of a Graph in C++
If a directed graph is given, determine if a vertex j is reachable from another vertex i for all vertex pairs (i, j) in the given graph. Reachable mean that there is a path from vertex i to j. This reachability matrix is called transitive closure of a graph. Warshall algorithm is commonly used to find the Transitive Closure of a Given Graph G. Here is a C++ program to implement this algorithm.
Algorithm
Begin 1. Take maximum number of nodes as input. 2. For Label the nodes as a, b, c….. 3. To check if there any edge present between the nodes make a for loop: // ASCII code of a is 97 for i = 97 to (97 + n_nodes)-1 for j = 97 to (97 + n_nodes)-1 If edge is present do, adj[i - 97][j - 97] = 1 else adj[i - 97][j - 97] = 0 End loop End loop. 4. To print the transitive closure of graph: for i = 0 to n_nodes-1 c = 97 + i End loop. for i = 0 to n_nodes-1 c = 97 + i for j = 0 to n_nodes-1 Print adj[I][j] End loop End loop End
Example
#include<iostream> using namespace std; const int n_nodes = 20; int main() { int n_nodes, k, n; char i, j, res, c; int adj[10][10], path[10][10]; cout << "\n\tMaximum number of nodes in the graph :"; cin >> n; n_nodes = n; cout << "\nEnter 'y' for 'YES' and 'n' for 'NO' \n"; for (i = 97; i < 97 + n_nodes; i++) for (j = 97; j < 97 + n_nodes; j++) { cout << "\n\tIs there an edge from " << i << " to " << j << " ? "; cin >> res; if (res == 'y') adj[i - 97][j - 97] = 1; else adj[i - 97][j - 97] = 0; } cout << "\n\nTransitive Closure of the Graph:\n"; cout << "\n\t\t\t "; for (i = 0; i < n_nodes; i++) { c = 97 + i; cout << c << " "; } cout << "\n\n"; for (int i = 0; i < n_nodes; i++) { c = 97 + i; cout << "\t\t\t" << c << " "; for (int j = 0; j < n_nodes; j++) cout << adj[i][j] << " "; cout << "\n"; } return 0; }
Output
Maximum number of nodes in the graph :4 Enter 'y' for 'YES' and 'n' for 'NO' Is there an edge from a to a ? y Is there an edge from a to b ?y Is there an edge from a to c ? n Is there an edge from a to d ? n Is there an edge from b to a ? y Is there an edge from b to b ? n Is there an edge from b to c ? y Is there an edge from b to d ? n Is there an edge from c to a ? y Is there an edge from c to b ? n Is there an edge from c to c ? n Is there an edge from c to d ? n Is there an edge from d to a ? y Is there an edge from d to b ? n Is there an edge from d to c ? y Is there an edge from d to d ? n Transitive Closure of the Graph: a b c d a 1 1 0 0 b 1 0 1 0 c 1 0 0 0 d 1 0 1 0
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