An efficient implementation of the binary search algorithm, optimized for rapid number searching.
This repository houses a robust implementation of the binary search algorithm. Binary search is a highly efficient method for locating an item in a sorted list by systematically dividing the search interval in half.
- ⚡ Lightning-fast search algorithm
- 🔢 Optimized for numerical searches
- 🔍 No manual input required for search targets
- 📊 Ideal for large datasets
Binary search operates on the principle of divide and conquer:
- Initialize with the complete sorted list.
- Compare the target value with the middle element.
- If there's a match, the search concludes.
- If the target is less than the middle element, repeat the search on the lower half.
- If the target is greater, repeat the search on the upper half.
- Continue this process until the target is found or the search space is exhausted.
This approach significantly reduces search time, especially in extensive datasets.
Experience the algorithm in action: Binary Search Demo
Clone the repository to your local machine:
git clone https://github.com/amirallami-code/binary-search-algorithm.git cd binary-search-algorithm
- Execute the program.
- Respond to the prompts accurately.
- The algorithm will swiftly locate your number using binary search.
Note: Precision in your responses is crucial; inaccurate inputs may lead to incorrect results.
We enthusiastically welcome contributions! To contribute:
- Fork the project.
- Create your feature branch (
git checkout -b feature/AmazingFeature
). - Commit your changes (
git commit -m 'Add some AmazingFeature'
). - Push to the branch (
git push origin feature/AmazingFeature
). - Open a pull request.
This project is currently under the MIT license. For more information, see the LICENSE file.
For questions or concerns, please contact: Amirhossein Allami - [email protected]
Project Link: https://github.com/amirallami-code/binary-search-algorithm
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