Liang Chen

Orcid: 0000-0003-0398-4669

Affiliations:
  • Hunan University, College of Mathematics and Econometrics, Changsha, China


According to our database1, Liang Chen authored at least 12 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
A Convergent Inexact Abedin-Kitagawa Iteration Method for Monge-Ampère Eigenvalue Problems.
J. Sci. Comput., February, 2026

Characterizations of the Aubin property of the solution mapping for nonlinear semidefinite programming.
Math. Program., January, 2026

A non-intrusive model order reduction method based on nonlinear optimization for parameterized Stokes problems.
J. Comput. Appl. Math., 2026

2025
A Dynamical Variable-Separation Method for Parameter-Dependent Dynamical Systems.
SIAM J. Sci. Comput., 2025

Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming.
SIAM J. Optim., 2025

2021
On the equivalence of inexact proximal ALM and ADMM for a class of convex composite programming.
Math. Program., 2021

2020
On the Convergence Properties of a Second-Order Augmented Lagrangian Method for Nonlinear Programming Problems with Inequality Constraints.
J. Optim. Theory Appl., 2020

The Linear and Asymptotically Superlinear Convergence Rates of the Augmented Lagrangian Method with a Practical Relative Error Criterion.
Asia Pac. J. Oper. Res., 2020

A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond.
Asia Pac. J. Oper. Res., 2020

2018
A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming.
Math. Program. Comput., 2018

2017
An efficient inexact symmetric Gauss-Seidel based majorized ADMM for high-dimensional convex composite conic programming.
Math. Program., 2017

A note on the convergence of ADMM for linearly constrained convex optimization problems.
Comput. Optim. Appl., 2017


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