Uninformed Search and Heuristic Search Short Notes for GATE DA: Concepts, Formulas, Worked Examples & Practice

    Uninformed Search and Heuristic Search short notes for GATE DA: 2 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice questions.

    Topic Summary: Uninformed Search Essentials

    Key Takeaways

    1. BFS

    • Structure: FIFO Queue.
    • Pros: Complete, Optimal (unit cost).
    • Cons: High Memory .
    • Best for: Shallow solutions.

    2. DFS

    • Structure: LIFO Stack.
    • Pros: Low Memory .
    • Cons: Not Complete (infinite spaces), Not Optimal.
    • Best for: Deep solutions, memory constraints.

    3. Strategy Selection

    • No heuristic? → Uninformed.
    • Have heuristic? → Informed (A*).
    • Cycles present? → Use Graph Search (Explored Set).

    4. Complexity

    • Time is generally exponential for both.
    • Space is the differentiator: BFS is exponential, DFS is linear.

    Topic Summary: A* Exam Readiness

    A* Search: Final Revision Checklist

    1. The Formula

    . Always expand the lowest . Tie-break with lowest , then alphabetical.

    2. Admissibility

    Rule: . Meaning: Never overestimates. Guarantees optimality in Tree Search.

    3. Consistency (Monotonicity)

    Rule: . Meaning: Satisfies triangle inequality. Guarantees optimality and no re-expansion in Graph Search. Fact: Consistent Admissible. (The reverse is false).

    4. Combining Heuristics

    If and are admissible, is always admissible and dominates (better). is admissible but weaker.

    5. Tracing Protocol

    Maintain a strict table of , , and . Update a node's parent only if the new value is strictly lower than the existing one.

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    Uninformed Search and Heuristic Search Short Notes for GATE DA: Concepts, Formulas, Worked Examples & Practice

    Uninformed Search and Heuristic Search short notes for GATE DA: 2 study cards covering concepts, formulas, shortcuts and exam traps, plus solved practice ques

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