2016arXiv (Cornell University)Open access

Randomized Ternary Search Tries

Nicolai Diethelm

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Abstract

This paper presents a new kind of self-balancing ternary search trie that uses a randomized balancing strategy adapted from Aragon and Seidel's randomized binary search trees ("treaps"). After any sequence of insertions and deletions of strings, the tree looks like a ternary search trie built by inserting strings in random order. As a result, the time cost of searching, inserting, or deleting a string of length k in a tree with n strings is at most O(k + log n) with high probability.

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This paper presents a new kind of self-balancing ternary search trie that uses a randomized balancing strategy adapted from Aragon and Seidel's randomized binary search trees ("treaps"). After any sequence of insertions and deletions of strings, the tree looks like a ternary search trie built by inserting strings in random order. As a result, the time cost of searching, inserting, or deleting a string of length k in a tree with n strings is at most O(k + log n) with high probability.

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Available abstract

This paper presents a new kind of self-balancing ternary search trie that uses a randomized balancing strategy adapted from Aragon and Seidel's randomized binary search trees ("treaps"). After any sequence of insertions and deletions of strings, the tree looks like a ternary search trie built by inserting strings in random order. As a result, the time cost of searching, inserting, or deleting a string of length k in a tree with n strings is at most O(k + log n) with high probability.

Key concepts: Trie, Ternary search tree, Ternary operation, Search tree, Binary search tree, String (physics), Tree (set theory), Combinatorics

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