Search Algorithms

Discover efficient techniques to locate elements in data structures. Compare Linear Search (O(n)) for unsorted data with Binary Search (O(log n)) for sorted arrays. Learn advanced methods like Interpolation Search and Jump Search, and understand how search algorithms power everything from databases to autocomplete systems.

2 algorithms

Binary Search

Beginner

Highly efficient search method that compares the target with the middle element and repeatedly halves the search space. With O(log n) time, it can find an item in 1 million elements in just 20 comparisons. Works like looking up words in a dictionary.

O(log n)

O(1)

searchingdivide-and-conquer

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Linear Search

Beginner

The most basic search method that checks each element sequentially from start to end. Used for unsorted data or small arrays where simplicity matters. Implementation is straightforward, but becomes slow with large datasets requiring O(n) time.

💡 Learning Tip

Start with the beginner-level algorithms to build your foundation, then progress to intermediate and advanced topics. Each algorithm includes interactive visualizations, complexity analysis, and code examples in multiple languages.