Randomized methods for computing low-rank approximations of matrices by Nathan P. Halko B.S., University of California, Santa Barbara, 2007 M.S., University of Colorado, Boulder, 2010 - M-matrix - Document - PDFSEARCH.IO

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	Randomized methods for computing low-rank approximations of matrices by Nathan P. Halko B.S., University of California, Santa Barbara, 2007 M.S., University of Colorado, Boulder, 2010 Add to Reading List Document Date: 2012-02-15 12:46:29 Open Document File Size: 4,38 MB Share Result on Facebook Company Amazon / / Facility University of California / University of Colorado / / IndustryTerm distributed computing environment / vector products / proto-algorithm / / Organization University of Colorado / Graduate School / Contents Chapter / Philosophy Department of Applied Mathematics / University of California / Santa Barbara / University of Colorado / Boulder / / Person Gunnar Martinsson Keith Julian David / Francois G. Meyer / Nathan P. Halko / David M. Bortz Francois / Per-Gunnar Martinsson Randomized / / Position General / Professor / / ProvinceOrState California / Colorado / / Technology 4.1 The proto-algorithm / laptop computer / RAM / 5.2 Basic Algorithm / randomized algorithm / 5 1.5 Randomized algorithms / 1.3 Randomized algorithms / / SocialTag Numerical linear algebra Matrix theory Multivariate statistics Numerical analysis Singular value decomposition Matrix Lanczos algorithm Principal component analysis Algorithm Algebra

Randomized methods for computing low-rank approximations of matrices by Nathan P. Halko B.S., University of California, Santa Barbara, 2007 M.S., University of Colorado, Boulder, 2010Add to Reading List