Binary Search
Implement the binary search algorithm, a fundamental divide-and-conquer technique that finds elements in sorted arrays with O(log n) time complexity. Learn both iterative and recursive approaches, plus practical variants like lower_bound and upper_bound.
Data Structures & Algorithms Project
The difficulty level shown is relative to other DSA projects. This project assumes you're comfortable with C++ fundamentals including classes, pointers, and memory management. If you're new to C++, we recommend completing our core C++ lessons first.
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What You'll Build
A complete binary search implementation with iterative and recursive versions, plus lower_bound() and upper_bound() variants used extensively in competitive programming and real-world applications.
Learning Objectives
- Understand the divide-and-conquer paradigm
- Master O(log n) logarithmic time complexity
- Implement iterative binary search safely
- Convert iterative algorithms to recursive form
- Use lower_bound and upper_bound for range queries
Project Steps
Understanding Binary Search
Learn the divide-and-conquer paradigm and why binary search achieves O(log n) time complexity on sorted data.
Implementing Iterative Binary Search
Complete the binary search algorithm by adding comparison logic to find elements and return their index.
Recursive Search and Bound Functions
Implement recursive binary search and practical variants like lower_bound() and upper_bound() for range queries.
Interview Prep
Practice common interview questions about binary search, time complexity, and algorithm variants.