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    Graph Traversal, Connectivity and Directed Graphs Short Notes for GATE CS

    Graph Traversal, Connectivity and Directed Graphs short notes for GATE CS: 5 study cards covering concepts, formulas, shortcuts and exam traps, plus solved pr

    graph traversal connectivity and directed graphs short notes

    Key Takeaways: BFS Trees

    Summary: BFS Tree Core Concepts

    1. Shortest Path: Path from root to in BFS tree is the shortest path in unweighted .
    2. Undirected Edges: Only Tree and Cross edges exist.
    3. Level Constraint: For any cross edge in undirected BFS, .
    4. Tree Diameter: Found efficiently using the Two-BFS Trick.
    5. Directed Graphs: Back and forward edges can exist; level constraints do not apply to them.

    Quick Revision: Edge Types and Timestamps

    Quick Revision: Edge Types and Timestamps

    Edge Type Ancestor Relation Interval Relation Undirected?
    Tree nested in Yes
    Forward nested in No
    Back nested in Yes
    Cross None Disjoint ( before ) No
    Golden Rules
    1. Parenthesis Theorem: Intervals are either disjoint or strictly nested.
    2. Undirected DFS implies only Tree and Back edges.
    3. Cycle exists if and only if a Back edge exists.

    Quick Revision: Components and Cut Vertices

    Quick Revision: Components and Cut Vertices

    Concept Key Formula / Condition
    Connected Components (in DFS forest)
    Articulation Point (Root) Has children in DFS tree
    Articulation Point (Non-Root) child such that
    Leaf Node Never an articulation point
    Back Edge Update
    Tree Edge Update (after returning)
    Golden Rule

    The in the non-root condition is strict. If , can reach but nothing above , so removing still disconnects the graph.

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    Graph Traversal, Connectivity and Directed Graphs Short Notes for GATE CS

    Graph Traversal, Connectivity and Directed Graphs short notes for GATE CS: 5 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    Key Takeaways: BFS Trees

    Summary: BFS Tree Core Concepts

    1. Shortest Path: Path from root to in BFS tree is the shortest path in unweighted .
    2. Undirected Edges: Only Tree and Cross edges exist.
    3. Level Constraint: For any cross edge in undirected BFS, .
    4. Tree Diameter: Found efficiently using the Two-BFS Trick.
    5. Directed Graphs: Back and forward edges can exist; level constraints do not apply to them.

    Quick Revision: Edge Types and Timestamps

    Quick Revision: Edge Types and Timestamps

    Edge Type Ancestor Relation Interval Relation Undirected?
    Tree nested in Yes
    Forward nested in No
    Back nested in Yes
    Cross None Disjoint ( before ) No
    Golden Rules
    1. Parenthesis Theorem: Intervals are either disjoint or strictly nested.
    2. Undirected DFS implies only Tree and Back edges.
    3. Cycle exists if and only if a Back edge exists.

    Quick Revision: Components and Cut Vertices

    Quick Revision: Components and Cut Vertices

    Concept Key Formula / Condition
    Connected Components (in DFS forest)
    Articulation Point (Root) Has children in DFS tree
    Articulation Point (Non-Root) child such that
    Leaf Node Never an articulation point
    Back Edge Update
    Tree Edge Update (after returning)
    Golden Rule

    The in the non-root condition is strict. If , can reach but nothing above , so removing still disconnects the graph.

    Exam Readiness: SCC and Cycle Patterns

    Exam Readiness: SCC and Cycle Patterns

    1
    Cycle Detection Always look for the "recursion stack" or "3-color" (white, gray, black) method. Gray means currently in recursion stack.
    2
    SCC Definition Mutual reachability. If can reach and can reach , they are in the same SCC.
    3
    Condensation Graph Always a DAG. The number of SCCs with in-degree zero dictates the minimum number of starting points needed to traverse the entire graph.
    4
    Edge Classification in Directed DFS
    • Tree Edge: to unvisited.
    • Back Edge: to ancestor in recursion stack (implies cycle).
    • Forward Edge: to descendant (already fully processed).
    • Cross Edge: to a different branch (already fully processed).

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