A DEIM Induced CUR Factorization

dc.citation.firstpageA1454en_US
dc.citation.issueNumber3en_US
dc.citation.journalTitleSIAM Journal on Scientific Computingen_US
dc.citation.lastpageA1482en_US
dc.citation.volumeNumber38en_US
dc.contributor.authorSorensen, D.C.en_US
dc.contributor.authorEmbree, Marken_US
dc.date.accessioned2017-05-15T21:11:38Zen_US
dc.date.available2017-05-15T21:11:38Zen_US
dc.date.issued2016en_US
dc.description.abstractWe derive a CUR approximate matrix factorization based on the discrete empirical interpolation method (DEIM). For a given matrix ${\bf A}$, such a factorization provides a low-rank approximate decomposition of the form ${\bf A} \approx \bf C \bf U \bf R$, where ${\bf C}$ and ${\bf R}$ are subsets of the columns and rows of ${\bf A}$, and ${\bf U}$ is constructed to make $\bf C\bf U \bf R $ a good approximation. Given a low-rank singular value decomposition ${\bf A} \approx \bf V \bf S \bf W^T$, the DEIM procedure uses ${\bf V}$ and ${\bf W}$ to select the columns and rows of ${\bf A}$ that form ${\bf C}$ and ${\bf R}$. Through an error analysis applicable to a general class of CUR factorizations, we show that the accuracy tracks the optimal approximation error within a factor that depends on the conditioning of submatrices of ${\bf V}$ and ${\bf W}$. For very large problems, ${\bf V}$ and ${\bf W}$ can be approximated well using an incremental QR algorithm that makes only one pass through ${\bf A}$. Numerical examples illustrate the favorable performance of the DEIM-CUR method compared to CUR approximations based on leverage scores.en_US
dc.identifier.citationSorensen, D.C. and Embree, Mark. "A DEIM Induced CUR Factorization." <i>SIAM Journal on Scientific Computing,</i> 38, no. 3 (2016) SIAM: A1454-A1482. http://dx.doi.org/10.1137/140978430.en_US
dc.identifier.doihttp://dx.doi.org/10.1137/140978430en_US
dc.identifier.urihttps://hdl.handle.net/1911/94281en_US
dc.language.isoengen_US
dc.publisherSIAMen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.subject.keyworddiscrete empirical interpolation methoden_US
dc.subject.keywordCUR factorizationen_US
dc.subject.keywordpseudoskeleton de-compositionen_US
dc.subject.keywordlow-rank approximationen_US
dc.subject.keywordone-pass QR decompositionen_US
dc.titleA DEIM Induced CUR Factorizationen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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