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Experimental evaluation of algorithms for computing quasiperiods

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dc.abstract.enQuasiperiodicity is a generalization of periodicity that was introduced in the early 1990s. Since then, dozens of algorithms for computing various types of quasiperiodicity were proposed. Our work is a step towards answering the general question: “Which algorithm for computing quasiperiods to choose?”. The central notions of quasiperiodicity are covers and seeds. We implement algorithms for computing covers and seeds in the original and in new simplified versions and compare their efficiency on various types of data. We also discuss other known types of quasiperiodicity, distinguish partial covers as currently the most promising for large real-world data, and check their effectiveness using real-world data.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorRadoszewski, Jakub
dc.contributor.authorCzajka, Patryk
dc.date.accessioned2024-01-25T00:07:56Z
dc.date.available2024-01-25T00:07:56Z
dc.date.issued2021
dc.description.financePublikacja bezkosztowa
dc.description.volume854
dc.identifier.doi10.1016/J.TCS.2020.11.033
dc.identifier.issn0304-3975
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/106756
dc.identifier.weblinkhttps://doi.org/10.1016/j.tcs.2020.11.033
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofTheoretical Computer Science
dc.relation.pages17-29
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enquasiperiodicity
dc.subject.enCover
dc.subject.enSeed
dc.titleExperimental evaluation of algorithms for computing quasiperiods
dc.typeJournalArticle
dspace.entity.typePublication