Detect Cycle in a Directed Graph
You're given a directed graph with V vertices and an adjacency list adj, where adj[u] lists the destinations of edges leaving u. Determine whether following the edges can ever lead back to a vertex already visited — in other words, whether the graph contains a cycle.
Input Format
Implement hasCycle(V, adj). Inputs below show JavaScript function arguments; there is no stdin parsing.
Output Format
Return the result described in the statement.
Sample Input and Output
Example 1 · Run Sample
Input
V = 4
adj = [[1],[2],[3],[1]] Output
true Example 2
Input
V = 3
adj = [[1],[2],[]] Output
false Constraints
- 1 <= V <= 10^4
- 0 <= E <= 10^4
Test Cases (2)
Case 1
Args: [4,[[1],[2],[3],[1]]]
Expected: true
Case 2
Args: [3,[[1],[2],[]]]
Expected: false
Iterative DFS with Active Frames
Track unvisited, active, and finished vertices. Each stack frame stores the next edge to examine. An edge to an active vertex closes a directed cycle.
function hasCycle(V, adj) {
const color=Array(V).fill(0);
for(let start=0;start<V;start++)if(color[start]===0){
const stack=[[start,0]];color[start]=1;
while(stack.length){const frame=stack[stack.length-1],u=frame[0];
if(frame[1]===adj[u].length){color[u]=2;stack.pop();continue;}
const v=adj[u][frame[1]++];if(color[v]===1)return true;if(color[v]===0){color[v]=1;stack.push([v,0]);}
}
}
return false;
}Time: O(V + E) | Space: O(V)
Saved in this browser only. Private to you.