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Issue title: Foundations of Bioinformatics
Guest editors: Panagiotis Charalampopoulos, Maxime Crochemore and Solon P. Pissis
Article type: Research Article
Authors: Grabowski, Szymona | Kociumaka, Tomaszb | Radoszewski, Jakubc; *
Affiliations: [a] Institute of Applied Computer Science, Åódź University of Technology, Åódź, Poland. sgrabow@kis.p.lodz.pl | [b] Institute of Informatics, University of Warsaw, Warsaw, Poland. kociumaka@mimuw.edu.pl | [c] Institute of Informatics, University of Warsaw, Warsaw, Poland. jrad@mimuw.edu.pl
Correspondence: [*] Address for correspondence: Institute of Informatics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland
Abstract: We consider the Abelian longest common factor problem in two scenarios: when input strings are uncompressed and are of length at most n, and when the input strings are run-length encoded and their compressed representations have size at most m. The alphabet size is denoted by Ï. For the uncompressed problem, we show an O(n2/ log1+1/Ï n)-time and ðª(n)-space algorithm in the case of Ï = ðª(1), making a non-trivial use of tabulation. For the RLE-compressed problem, we show two algorithms: one working in ðª(m2Ï2 log3m) time and ðª(m(Ï2+log2m)) space, which employs line sweep, and one that works in ðª(m3) time and ðª(m) space that applies in a careful way a sliding-window-based approach. The latter improves upon the previously known ðª(nm2)-time and ðª(m4)-time algorithms that were recently developed by Sugimoto et al. (IWOCA 2017) and Grabowski (SPIRE 2017), respectively.
Keywords: Abelian longest common factor problem, jumbled pattern matching, run-length encoding (RLE)
DOI: 10.3233/FI-2018-1740
Journal: Fundamenta Informaticae, vol. 163, no. 3, pp. 225-244, 2018
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