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Repertorio Competenze e Ricerche
Part of book or chapter of book . 2023
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Conference object . 2023
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Algorithmic View on Circular String Attractors.

Authors: Giuseppe Romana;

Algorithmic View on Circular String Attractors.

Abstract

The notion of circular string attractor has been recently introduced by Mantaci et al. [TCS 2021]. It consists of a set Γc of positions in a word such that each distinct circular factor has at least an occurrence crossing one of the elements of Γc. Its definition is an extension of the notion of string attractor by Kempa and Prezza [STOC 2018], which has been introduced as a unifying framework for some dictionary-based compressors. In this paper, we present the first linear time algorithm to check whether a set is a circular string attractor of a word w ∈ {a1, . . . , aσ}n by using O(n log n) bits of space. We further show that, for each p > 0, the decision problem of having a circular string attractor of size ≤ p is NP-complete. The proof is obtained through a reduction from the analogous problem for string attractors, for which Kempa and Prezza [STOC 2018] proved the NP-completeness. This reduction naturally leads to a new algorithm for checking whether a set is a string attractor that, unlike one of the solutions proposed by Kempa et al. [ESA 2018], it is independent from the size of the alphabet.

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Italy
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Keywords

Suffix Array, String Attractor, Longest Common Prefix Array, Circular String Attractor, String Attractor, Suffix Array, Conjugate Array, Longest Common Prefix Array, Circular String Attractor, Conjugate Array, Settore INFO-01/A - Informatica

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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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