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Randomized algorithms in numerical linear algebra

Published online by Cambridge University Press:  05 May 2017

Ravindran Kannan  and
Santosh Vempala
Ravindran Kannan
Affiliation:
Microsoft Research Labs, Bangalore, Karnataka 560001, India E-mail: kannan@microsoft.com
Santosh Vempala
Affiliation:
Georgia Institute of Technology, North Avenue NW, Atlanta, GA 30332, USA E-mail: vempala@gatech.edu
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Abstract

This survey provides an introduction to the use of randomization in the design of fast algorithms for numerical linear algebra. These algorithms typically examine only a subset of the input to solve basic problems approximately, including matrix multiplication, regression and low-rank approximation. The survey describes the key ideas and gives complete proofs of the main results in the field. A central unifying idea is sampling the columns (or rows) of a matrix according to their squared lengths.

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Type
Research Article
Information
Acta Numerica , Volume 26 , 01 May 2017 , pp. 95 - 135
Copyright
© Cambridge University Press, 2017 

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