This project implements a trie data structure, often used for efficient information retrieval. The trie, also known as a prefix tree, is a tree-like structure that is particularly effective for managing dictionaries and implementing autocomplete systems.
- Efficient insertion and search operations.
- Support for prefix-based search, making it ideal for autocomplete suggestions.
- Scalable and optimised for high-performance scenarios.
- Modify the
Trie.js
file as requested, and run the script vianode ./Trie.js
. - You'll see lots of
console.log()
s for better observing during runtime. You can remove them optionally. - This project served as a learning tool for me, but it's open ended and flexible. It can be improved for further purposes.
This project is licensed under the MIT License - see the LICENSE.md file for details.