OpenAlex | Randomized algorithms for the low-rank approximation of matrices

Randomized algorithms for the low-rank approximation of matrices

Work

Year: 2007

Type: article

Abstract: 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 va... more

Source: Proceedings of the National Academy of Sciences

Authors Edo Liberty, Franco Woolfe, Per‐Gunnar Martinsson, Vladimir Rokhlin, Mark Tygert

Institutions Yale University, University of Colorado Boulder

Cites: 14

Cited by: 563

Related to: 10

FWCI: 9.463

Citation percentile (by year/subfield): 99.99

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green