LIPIcs.AofA.2020.3.pdf
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The Complexity of the Approximate Multiple Pattern Matching Problem for Random Strings
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Andrea Sportiello 
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31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-06-10
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Frédérique Bassino, Tsinjo Rakotoarimalala, and Andrea Sportiello. The Complexity of the Approximate Multiple Pattern Matching Problem for Random Strings. In 31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 159, pp. 3:1-3:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.AofA.2020.3
Abstract
We describe a multiple string pattern matching algorithm which is well-suited for approximate search and dictionaries composed of words of different lengths. We prove that this algorithm has optimal complexity rate up to a multiplicative constant, for arbitrary dictionaries. This extends to arbitrary dictionaries the classical results of Yao [SIAM J. Comput. 8, 1979], and Chang and Marr [Proc. CPM94, 1994].
Subject Classification
ACM Subject Classification
- Theory of computation → Formal languages and automata theory
- Theory of computation → Design and analysis of algorithms
Keywords
- Average-case analysis of algorithms
- String Pattern Matching
- Computational Complexity bounds
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References
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Frédérique Bassino, Tsinjo Rakotoarimalala, and Andrea Sportiello. The complexity of the Multiple Pattern Matching Problem for random strings. In 2018 Proceedings of the Fifteenth Workshop on Analytic Algorithmics and Combinatorics (ANALCO), pages 40-53. SIAM, 2018.
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