👉 Tries, also known as prefix trees, are specialized tree-like data structures used for efficient storage and retrieval of strings. Each node in a trie represents a single character, and paths from the root to any node form a prefix of one or more strings stored in the trie. Tries are particularly useful for tasks like autocomplete suggestions, spell checking, and IP routing, where quick prefix-based searches are essential. They allow for fast insertion, deletion, and search operations, typically in O(m) time complexity, where m is the length of the string being searched or inserted. This efficiency stems from the shared prefixes among strings, making tries an optimal choice for handling large datasets of strings with common prefixes.
