String & Tree Algorithms
Trie Data Structure Applications
Master the Trie (Prefix Tree) for your coding interviews. Learn how to implement it and apply it to problems like autocomplete, spell checking, and more, with AI-driven insights.
Trie (Prefix Tree) Implementation
A Trie is a special tree used to handle strings. It can be used to implement features like autocomplete or to check if a word is a valid prefix of another.
classTrieNode {constructor() {this.children = {};this.isEndOfWord = false;}}classTrie {constructor() {this.root = newTrieNode();}insert(word) { /* ... implementation ... */ }search(word) { /* ... implementation ... */ }startsWith(prefix) { /* ... implementation ... */ }}
AI Coach Hint: The key to a Trie is the `children` map in each node, which typically maps characters to other TrieNodes. The `isEndOfWord` flag is crucial to distinguish between a prefix and a complete word stored in the trie.
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