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20182025
most citedCUR Low Rank Approximation of a Matrix at Sublinear Cost

6 citations · 7 across the 6 of their papers we have counts for

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Showing 2019Show all

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math.NA2019

Iterative Refinement and Oversampling for Low Rank Approximation

Victor Y. Pan, Qi Luan, Soo Go

Iterative refinement is particularly popular for numerical solution of linear systems of equations. We extend it to Low Rank Approximation of a matrix (LRA) and observe close link…

math.NA2019★ 6 cited

CUR Low Rank Approximation of a Matrix at Sublinear Cost

Soo Go, Qi Luan, Victor Y. Pan +2

Low rank approximation of a matrix (hereafter LRA) is a highly important area of Numerical Linear and Multilinear Algebra and Data Mining and Analysis. One can operate with an LRA…