Randomized Quasi-Newton Updates are Linearly Convergent Matrix Inversion Algorithms (2016)
Attributed to:
Randomized Algorithms for Extreme Convex Optimization
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1602.01768
Publication URI: http://arxiv.org/abs/1602.01768
Type: Journal Article/Review
Parent Publication: arXiv e-prints