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Mathematics
Article . 2022 . Peer-reviewed
License: CC BY
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Mathematics
Article . 2022
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https://dx.doi.org/10.48550/ar...
Article . 2022
License: arXiv Non-Exclusive Distribution
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Preprint . 2022
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Almost Optimal Searching of Maximal Subrepetitions in a Word

Authors: Roman Kolpakov;

Almost Optimal Searching of Maximal Subrepetitions in a Word

Abstract

For some fixed δ such that 0<δ<1, a δ-subrepetition in a word is a factor whose exponent is less than 2 but is not less than 1+δ (the exponent of the factor is the ratio of the factor length to its minimal period). The δ-subrepetition is maximal if it cannot be extended to the left or to the right by at least one letter while preserving its minimal period. In the paper, we propose an algorithm for searching all maximal δ-subrepetitions in a word of length n in O(nδlog1δ) time (the lower bound for this time is Ω(nδ)). It improves the previous known time complexity bounds for solving this problem.

Keywords

FOS: Computer and information sciences, combinatorial algorithms, time complexity, Formal Languages and Automata Theory (cs.FL), Computer Science - Formal Languages and Automata Theory, Computer Science - Data Structures and Algorithms, QA1-939, Data Structures and Algorithms (cs.DS), combinatorics on words, repetitions, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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