Liang Chen
Liang Chen
Schol of Mathematics, Hunan University
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An efficient inexact symmetric Gauss–Seidel based majorized ADMM for high-dimensional convex composite conic programming
L Chen, D Sun, KC Toh
Mathematical Programming 161 (1-2), 237-270, 2017
A note on the convergence of ADMM for linearly constrained convex optimization problems
L Chen, D Sun, KC Toh
Computational Optimization and Applications 66 (2), 327-343, 2017
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming
L Chen, X Li, D Sun, KC Toh
Mathematical Programming, 1-51, 2019
A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming
Y Xiao, L Chen, D Li
Mathematical Programming Computation 10 (4), 533-555, 2018
A unified algorithmic framework of symmetric Gauss-Seidel decomposition based proximal ADMMs for convex composite programming
L Chen, D Sun, KC Toh, N Zhang
Journal of Computational Mathematics 37 (6), 739–757, 2019
A three-operator splitting perspective of a three-block ADMM for convex quadratic semidefinite programming and extensions
L Chen, X Chang, S Liu
Asia-Pacific Journal of Operational Research 37 (4), 2040009, 2020
A modified exchange algorithm for distributional robust optimization and applications in risk management
H Sun, D Zhang, SY Wu, L Chen
International Transactions in Operational Research, 2020
On the convergence properties of a second-prder augmented Lagrangian method for nonlinear programming problems with inequality constraints
L Chen, A Liao
Journal of Optimization Theory and Applications 187 (1), 248-265, 2020
The linear and asymptotically superlinear convergence rates of the augmented Lagrangian method with a practical relative error criterion
XY Zhao, L Chen
Asia-Pacific Journal of Operational Research 37 (4), 2040001, 2020
陈亮, 孙德锋, 卓金全
数值计算与计算机应用 40 (2), 98-110, 2018
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