A block coordinate gradient descent method for regularized convex separable optimization and covariance selection

10.1007/s10107-011-0471-1

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Bibliographic Details
Main Authors:	Yun, S., Tseng, P., Toh, K.-C.
Other Authors:	MATHEMATICS
Format:	Article
Published:	2014
Subjects:	ℓ1- penalization Block coordinate gradient descent Complexity Convex optimization Covariance selection Global convergence Linear rate convergence Maximum likelihood estimation
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/102605
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Institution:	National University of Singapore

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Summary:	10.1007/s10107-011-0471-1

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