LIPIcs.ISAAC.2022.15.pdf
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Computing Palindromes on a Trie in Linear Time
Authors
Takuya Mieno 
,
Mitsuru Funakoshi ,
Shunsuke Inenaga
-
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Volume:
33rd International Symposium on Algorithms and Computation (ISAAC 2022)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Symposium on Algorithms and Computation (ISAAC) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-12-14
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Author Details
- Department of Computer and Network Engineering, University of Electro-Communications, Tokyo, Japan
- Department of Informatics, Kyushu University, Fukuoka, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
Acknowledgements
We would like to thank anonymous referees for their helpful comments. We also thank Takuya Matsumoto for discussions.
Cite As Get BibTex
Takuya Mieno, Mitsuru Funakoshi, and Shunsuke Inenaga. Computing Palindromes on a Trie in Linear Time. In 33rd International Symposium on Algorithms and Computation (ISAAC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 248, pp. 15:1-15:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.ISAAC.2022.15
Abstract
A trie 𝒯 is a rooted tree such that each edge is labeled by a single character from the alphabet, and the labels of out-going edges from the same node are mutually distinct. Given a trie 𝒯 with n edges, we show how to compute all distinct palindromes and all maximal palindromes on 𝒯 in O(n) time, in the case of integer alphabets of size polynomial in n. This improves the state-of-the-art O(n log h)-time algorithms by Funakoshi et al. [PSC 2019], where h is the height of 𝒯. Using our new algorithms, the eertree with suffix links for a given trie 𝒯 can readily be obtained in O(n) time. Further, our trie-based O(n)-space data structure allows us to report all distinct palindromes and maximal palindromes in a query string represented in the trie 𝒯, in output optimal time. This is an improvement over an existing (naïve) solution that precomputes and stores all distinct palindromes and maximal palindromes for each and every string in the trie 𝒯 separately, using a total O(n²) preprocessing time and space, and reports them in output optimal time upon query.
Subject Classification
ACM Subject Classification
- Theory of computation → Pattern matching
Keywords
- palindromes
- suffix trees
- tries
- labeled trees
- eertrees
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