On the convergence of a randomized block coordinate descent algorithm for a matrix least squares problem

A new randomized Gauss–Seidel method for solving linear least-squares problems

(2021) Yu-qi Niu et al.   APPLIED MATHEMATICS LETTERS

On greedy randomized coordinate descent methods for solving large linear least‐squares problems

(2019) Zhong‐Zhi Bai et al.   NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS

Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks

(2017) Ion Necoara et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

On the complexity analysis of randomized block-coordinate descent methods

(2014) Zhaosong Lu et al.   MATHEMATICAL PROGRAMMING

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

(2012) Yu. Nesterov   SIAM JOURNAL ON OPTIMIZATION

The university of Florida sparse matrix collection

(2011) Timothy A. Davis et al.   ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

(2010) D. Leventhal et al.   MATHEMATICS OF OPERATIONS RESEARCH