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Grokking the Coding Interview Patterns in C++

Solution: Implement Trie (Prefix Tree)

Explore how to implement the Trie data structure to store and retrieve strings efficiently. Understand how to insert words, search for complete words, and check prefixes using trie nodes. Learn the time and space complexities for these operations, improving your skills in coding interview patterns related to string manipulation.

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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≤1 \leq word.length, prefix.length ≤500\leq 500
  • The strings consist only of lowercase English letters.
  • At most, 10310^3
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