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Tries

Tries. Jyh-Shing Roger Jang ( 張智星 ) CSIE Dept, National Taiwan University. Intro to Tries. An efficient data structure for dictionary (which uses strings as keys) English dictionary (from a given word to its definition) Yellow page (from a given name to his/her phone number)

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Tries

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  1. Tries Jyh-Shing Roger Jang (張智星) CSIE Dept, National Taiwan University

  2. Intro to Tries • An efficient data structure for dictionary (which uses strings as keys) • English dictionary (from a given word to its definition) • Yellow page (from a given name to his/her phone number) • Why you need to learn tries • An alternative solution to <map> and <unordered_map> • For job interviews • For our homework

  3. ANIMATION OF TRIES Quiz! • Construction • key = the, a, there, answer, any, by, bye, their • Search • any • these

  4. Code Examples • Examples • trie00.cpp  C-flavored • trie01.cpp  C++

  5. Complexity • Assuming we have n keys, each with m characters • Tries • Time complexity • Construction: O(m*n) • Search/insert: O(m) • Space complexity: O(ALPHABET_SIZE*m*n)=O(m*n) • Binary search • Time complexity • Construction: O(m*n*log(n)) • Search: O(m*log(n)) • Space complexity: O(m*n) Quiz! 26 for English

  6. References • References to tries • Video • HackerRank • Trie data structure (with detailed example) • CS50: Kevin Schmid , Details • Trie: Insert and search (with code) • Programming tutorials by SourceTrick (with code) • CS50: slides Course from Harvard Univ.

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