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    Learning PathDSAGraph Traversal Patterns - DFS and BFSStrongly Connected Components
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    Graph Traversal Patterns - DFS and BFS · 12 of 12

    Strongly Connected Components

    Find strongly connected components in directed graphs using Kosaraju's or Tarjan's algorithm.

    Topics

    strongly connected componentsSCCKosaraju algorithmTarjan SCCdirected graph

    What you'll learn

    • •Core concepts and intuition behind Strongly Connected Components
    • •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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    PreviousMinimum Spanning Tree - Kruskal and Prim
    Back toGraph Traversal Patterns - DFS and BFS

    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.

    Cycle Detection in Directed Graph

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