How to learn Cycle Detection in Directed Graph for coding interviews?

Master Cycle Detection in Directed Graph by understanding the core concept and practicing related problems. Key topics: cycle detection, directed graph cycle, DFS coloring, course schedule, leetcode 207.

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Cycle Detection in Directed Graph

Detect cycles in directed graphs using DFS with coloring (white, gray, black) approach.

Topics

cycle detectiondirected graph cycleDFS coloringcourse scheduleleetcode 207

What you'll learn

•Core concepts and intuition behind Cycle Detection in Directed Graph
•Step-by-step implementation with code examples
•Time and space complexity analysis
•Common interview problems and variations

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Access the full theory, code examples, and practice problems.

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Other subpatterns in Graph Traversal Patterns - DFS and BFS

DFS Connected Components - Island Counting

Use DFS to find connected components and count islands in grids. Flood fill and province counting problems.

BFS Connected Components - Shortest Path in Grid

Use BFS for shortest path in unweighted graphs. Solve word ladder, rotting oranges, and matrix problems.

Topological Sort - Kahn's Algorithm

Master topological sorting using Kahn's BFS algorithm. Solve course schedule and build order problems.

Bellman-Ford and BFS with K Stops

Find shortest paths with constraints using Bellman-Ford algorithm and BFS with limited stops.

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