Randomized Quasi-Newton Updates Are Linearly Convergent Matrix Inversion Algorithms (2017)

First Author: Gower R
Attributed to:  Randomized Algorithms for Extreme Convex Optimization funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1137/16m1062053

Publication URI: http://dx.doi.org/10.1137/16m1062053

Type: Journal Article/Review

Parent Publication: SIAM Journal on Matrix Analysis and Applications

Issue: 4