What is a Trie?
Explore the concept of Tries, a tree-like data structure designed for efficient string retrieval. This lesson helps you understand how Tries enable fast search operations and common applications such as autocomplete features, spell-checking, and contact searching. You'll grasp key Trie properties including node structure, size constraints, and prefix sharing, preparing you to implement Tries effectively in Java.
Introduction
Till now, we only studied some of the commonly used Trees like Red-Black, 2-3 Trees, etc. In this chapter, we are going to look at a tree-like data structure which proves to be really efficient while solving programming problems related to Strings. This data structure is called Trie and is also known as “Prefix Trees”; we will find out why it’s named that later.
💡 Did you know?
Triebasically comes from the word “retrieval”, as the main purpose of using this structure is ...