A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations

Fuente: arXiv
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Auteurs principaux: Cortinovis, Alice, Ying, Lexing
Format: Preprint
Publié: 2024
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author Cortinovis, Alice
Ying, Lexing
author_facet Cortinovis, Alice
Ying, Lexing
contents In this work, we analyze a sublinear-time algorithm for selecting a few rows and columns of a matrix for low-rank approximation purposes. The algorithm is based on an initial uniformly random selection of rows and columns, followed by a refinement of this choice using a strong rank-revealing QR factorization. We prove bounds on the error of the corresponding low-rank approximation (more precisely, the CUR approximation error) when the matrix is a perturbation of a low-rank matrix that can be factorized into the product of matrices with suitable incoherence and/or sparsity assumptions.
format Preprint
id arxiv_https___arxiv_org_abs_2402_13975
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations
Cortinovis, Alice
Ying, Lexing
Numerical Analysis
65F30 (Primary) 15A23 (Secondary)
In this work, we analyze a sublinear-time algorithm for selecting a few rows and columns of a matrix for low-rank approximation purposes. The algorithm is based on an initial uniformly random selection of rows and columns, followed by a refinement of this choice using a strong rank-revealing QR factorization. We prove bounds on the error of the corresponding low-rank approximation (more precisely, the CUR approximation error) when the matrix is a perturbation of a low-rank matrix that can be factorized into the product of matrices with suitable incoherence and/or sparsity assumptions.
title A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations
topic Numerical Analysis
65F30 (Primary) 15A23 (Secondary)
url https://arxiv.org/abs/2402.13975