Modifiable low-rank approximation to a matrix

dc.contributor.authorBarlow, Jesse L.
dc.contributor.authorErbay, Hasan
dc.date.accessioned2020-06-25T17:48:14Z
dc.date.available2020-06-25T17:48:14Z
dc.date.issued2009
dc.departmentKırıkkale Üniversitesi
dc.descriptionErbay, Hasan/0000-0002-7555-541X
dc.description.abstractA truncated ULV decomposition (TULVD) of an m x n matrix X of rank k is a decomposition of the form X=ULVT + E, where U and V are left orthogonal matrices, L is a k x k non-singular lower triangular matrix and E is an error matrix. Only U,V, L and parallel to E parallel to(F) are stored, but E is not stored. We propose algorithms for updating and downdating the TULVD. To construct these modification algorithms, we also use a refinement algorithm based upon that in (SIAM J. Matrix Anal. Appl. 2005; 27(1):198-211) that reduces parallel to E parallel to(F), detects rank degeneracy, corrects it, and sharpens the approximation. Copyright (C) 2009 John Wiley & Sons, Ltd.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1002/nla.651
dc.identifier.endpage860en_US
dc.identifier.issn1070-5325
dc.identifier.issn1099-1506
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-70349601759
dc.identifier.scopusqualityQ1
dc.identifier.startpage833en_US
dc.identifier.urihttps://doi.org/10.1002/nla.651
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4371
dc.identifier.volume16en_US
dc.identifier.wosWOS:000270771900004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWileyen_US
dc.relation.ispartofNumerical Linear Algebra With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectorthogonal decompositionen_US
dc.subjectrank estimationen_US
dc.subjectsubspace estimationen_US
dc.titleModifiable low-rank approximation to a matrixen_US
dc.typeArticle

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