A minimum norm approach for low-rank approximations of a matrix

DOI10.1016/j.cam.2010.02.002zbMath1196.65077OpenAlexW2085999947MaRDI QIDQ989119

Achiya Dax

Publication date: 27 August 2010

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.02.002

zbMATH Keywords

convergencenumerical experimentspower methodlow-rank approximationsdominant eigenvectorline search accelerationdominant pair of singular vectorsFrobenius matrix normlarge scale matrix computationsminimum norm approachorthogonalization via deflationpoint relaxationrectangular iterations

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical solutions to overdetermined systems, pseudoinverses (65F20)

Uses Software

• impute

Cites Work

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