Solution: Implement Trie (Prefix Tree)

Explore how to implement a trie data structure by building functions to insert words, search complete words, and check prefixes efficiently. Understand the node structure, traversal process, and key operations to handle string storage and prefix matching. This lesson helps you develop a solid foundation for solving prefix-based coding interview problems using tries.

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Statement
Pattern: Trie
Solution

Statement

Trie is a tree-like data structure used to store strings. The tries are also called prefix trees because they provide very efficient prefix-matching operations. Implement a trie data structure with three functions that perform the following tasks:

Insert (word): This inserts a word into the trie.
Search (word): This searches the given word in the trie and returns TRUE, if found. Otherwise, return FALSE.
Search prefix (prefix): This searches the given prefix in the trie and returns TRUE, if found. Otherwise, return FALSE.

Constraints:

$1 \leq$ word.length, prefix.length $\leq 500$

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