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Randomized algorithms for the low-rank approximation of matrices

We describe two recently proposed randomized algorithms for the construction of low-rank approximations to matrices, and demonstrate their application (inter alia) to the evaluation of the singular value decompositions of numerically low-rank matrices. Being probabilistic, the schemes described here...

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Hlavní autoři: Liberty, Edo, Woolfe, Franco, Martinsson, Per-Gunnar, Rokhlin, Vladimir, Tygert, Mark
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2007
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2154402/
https://ncbi.nlm.nih.gov/pubmed/18056803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0709640104
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