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DC poleHodnotaJazyk
dc.contributor.authorSkala, Václav
dc.date.accessioned2014-12-11T11:27:37Z
dc.date.available2014-12-11T11:27:37Z
dc.date.issued2013
dc.identifier.citationRecent Advances in Computer Science: Proceedings of the 17th International Conference on Computers (Part of CSCC '13), Proceedings of the 1st International Conference on Artificial Intelligence and Cognitive Science (AICS '13), Proceedings of the 1st International Conference on Innovative Computing and Information Processing (INCIP'13), p. 56-64.cs
dc.identifier.isbn978-960-474-311-7
dc.identifier.urihttp://hdl.handle.net/11025/11774
dc.description.abstractNumerical data processing is a key task across different fields of computer technology use. However even simple summation of values is not precise due to the floating point representation use. This paper presents a practical algorithm for summation of values convenient for medium and large data sets. The proposed algorithm is simple, easy to implement. Its computational complexity is O(N) in the contrary of the Exact Sign Summation Algorithm (ESSA) approach with O(N2) run-time complexity. The proposed algorithm is especially convenient for cases when exponent data differ significantly and many small values are summed with higher values.en
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherWSEAScs
dc.relation.ispartofseriesRecent Advances in Computer Scienceen
dc.rightsOriginal paper published under copyright licence: © 2013 WSEASen
dc.subjectalgoritmycs
dc.subjectnásobení maticcs
dc.subjectrobustní metodycs
dc.subjectrekurzivní metodycs
dc.subjectlineární algebracs
dc.titleSummation problem revisited - more robost computationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedalgorithmsen
dc.subject.translatedmatrix multiplicationen
dc.subject.translatedrobust methodsen
dc.subject.translatedrecursive methodsen
dc.subject.translatedlinear algebraen
dc.type.statusPeer-revieweden
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