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Dsa Graph Cycledetect

DodaTech 1 min read

In this tutorial, you'll learn about How to Fix Cycle Detection in Graph Errors. We cover key concepts, practical examples, and best practices.

Fix cycle detection in graph errors when DFS missing back-edge detection or visited tracking wrong.

Quick Fix

Wrong

def has_cycle(g):
    vis=set()
    def dfs(v):
        for n in g[v]:
            if n not in vis: vis.add(n); dfs(n)
            else: return True
        return False
    for v in g:
        if v not in vis: vis.add(v); dfs(v)
    return False

Doesn't distinguish back edge from cross edge. Returns false positives.

def has_cycle(g):
    vis=set(); rec=set()
    def dfs(v):
        vis.add(v); rec.add(v)
        for n in g[v]:
            if n in rec: return True
            if n not in vis and dfs(n): return True
        rec.remove(v); return False
    for v in g:
        if v not in vis:
            if dfs(v): return True
    return False
Graph {0:[1,2],1:[2],2:[0,3]} -> True (cycle). O(V+E).

Prevention

Maintain recursion stack set. Back edge goes to node in current recursion stack.

DodaTech Tools

Doda Browser's algorithm visualizer steps through DSA operations line by line. DodaZIP archives implementation patterns for team sharing. Durga Antivirus Pro detects memory corruption patterns in algorithm implementations.

FAQ

What is cycle detection?

Detect if directed graph contains cycle. Back edge is edge to node in current recursion stack.

Recursion stack?

Set of nodes on current DFS path. Separate from global visited set.

Undirected graph?

Union-Find (DSU) or DFS with parent tracking to ignore immediate parent edge.

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