Welcome to the guide on search algorithms! These algorithms are fundamental in computer science and are used to find specific data within a collection. Here's a breakdown of common types:

🔍 Common Search Algorithms

  1. Linear Search

    • Description: Checks each element sequentially until the target is found.
    • Use Case: Best for small or unsorted datasets.
    • Emoji: 📏
    • Linear Search

  2. Binary Search

    • Description: Divides the dataset in half repeatedly to locate the target.
    • Use Case: Efficient for large, sorted datasets.
    • Emoji: ⚙️
    • Binary Search

  3. Depth-First Search (DFS)

    • Description: Explores as far as possible along each branch before backtracking.
    • Use Case: Ideal for tree or graph traversal.
    • Emoji: 🌳
    • DFS

  4. Breadth-First Search (BFS)

    • Description: Explores all neighbors at the present depth level before moving to the next.
    • Use Case: Great for finding the shortest path in unweighted graphs.
    • Emoji: 🧭
    • BFS

📚 Extended Reading

For a deeper dive into algorithm optimization techniques, visit our guide on Algorithm Optimization Techniques.