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Report
Data sources: UnpayWall
https://doi.org/10.2172/8067...
Report . 1999
Data sources: Crossref
https://dx.doi.org/10.2172/806...
Other literature type
Data sources: Microsoft Academic Graph
University of North Texas: UNT Digital Library
Report . 1999
Data sources: Bielefeld Academic Search Engine (BASE)
https://dx.doi.org/10.2172/806...
Other literature type
Data sources: Microsoft Academic Graph
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Computation and Uses of the Semidiscrete Matrix Decomposition

descriptionPublicationkeyboard_double_arrow_right Report , Other literature type 01 Jun 1999 United States Publisher:Office of Scientific and Technical Information (OSTI)
Authors: Kolda, T.G.; O'Leary, D.P.;

doi: 10.2172/8067

handle: 1903/1004

Computation and Uses of the Semidiscrete Matrix Decomposition

Abstract

We derive algorithms for computing a semidiscrete approximation to a matrix in the Frobenius and weighted norms. The approximation is formed as a weighted sum of outer products of vectors whose elements are +/=1 or 0, so the storage required by the approximation is quite small.

Country
United States
Related Organizations
Keywords

And Information Science, Computing, Storage, Vectors, 99 General And Miscellaneous//Mathematics, Algorithms, 004, 510

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average