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dc.contributor.authorErbay, H.
dc.contributor.authorAba, K.
dc.date.accessioned2020-06-25T17:48:49Z
dc.date.available2020-06-25T17:48:49Z
dc.date.issued2009
dc.identifier.issn0020-7160
dc.identifier.issn1029-0265
dc.identifier.urihttps://doi.org/10.1080/00207160701798756
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4570
dc.descriptionErbay, Hasan/0000-0002-7555-541Xen_US
dc.descriptionWOS: 000273521400010en_US
dc.description.abstractThis article presents an URV-based matrix decomposition, the truncated URV decomposition, and an updating algorithm for it. The complexity of the updating is [image omitted] for an m-by- n matrix of rank r. The theoretical and numerical results presented shows that the decomposition can be a good alternative to the singular value decomposition.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.isversionof10.1080/00207160701798756en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectURV decompositionen_US
dc.subjectnumerical ranken_US
dc.subjectsubspace estimationen_US
dc.subjectrefinementen_US
dc.titleAn algorithm for rank estimation and subspace trackingen_US
dc.typearticleen_US
dc.contributor.departmentKırıkkale Üniversitesien_US
dc.identifier.volume86en_US
dc.identifier.issue7en_US
dc.identifier.startpage1194en_US
dc.identifier.endpage1203en_US
dc.relation.journalInternational Journal Of Computer Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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