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DC poleHodnotaJazyk
dc.contributor.authorSkala, Václav
dc.date.accessioned2014-10-17T13:40:32Z-
dc.date.available2014-10-17T13:40:32Z-
dc.date.issued2013
dc.identifier.citationAIP Conference Proceedings, p. 2496-2499.en
dc.identifier.isbn978-0-7354-1184-5
dc.identifier.issn0094-243X
dc.identifier.urihttp://dx.doi.org/10.1063/1.4826047
dc.identifier.urihttp://hdl.handle.net/11025/11737
dc.description.abstractThis paper describes novel and fast, simple and robust algorithm with O(N) expected complexity which enables to decrease run-time needed to find an exact maximum distance of two points in E2. The proposed algorithm has been evaluated experimentally on larger different datasets. The proposed algorithm gives a significant speed-up to applications, when medium and large data sets are processed. It is over 10 000 times faster than the standard algorithm for 106 points randomly distributed points in E2. Experiments proved the advantages of the proposed algorithm over the standard algorithm and convex hull diameters approaches.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherAIP Publishingen
dc.relation.ispartofseriesAIP Conference Proceedingsen
dc.rightsOriginal article was published under © 2013 AIP Publishing LLCen
dc.subjectaplikovaná matematikacs
dc.subjectnumerická analýzacs
dc.subjectmaximální vzdálenostcs
dc.subjectvýpočetní systémycs
dc.titleFast Oexpected(N) Algorithm for Finding Exact Maximum Distance in E2 Instead of O(N2) or O(N lgN)en
dc.typepreprintcs
dc.typepreprinten
dc.rights.accessopenAccessen
dc.type.versiondraften
dc.subject.translatedapplied mathematicsen
dc.subject.translatednumerical analysisen
dc.subject.translatedmaximum distanceen
dc.subject.translatedcomputing systemsen
dc.type.statusPeer-revieweden
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