Yuan Shen
Yuan Shen
Doctor of Mathematics, Nanjing University of Finance & Economics
Verified email at njue.edu.cn
Title
Cited by
Cited by
Year
Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization
Y Shen, Z Wen, Y Zhang
Taylor & Francis, 2012
2842012
On the convergence analysis of the alternating direction method of multipliers with three blocks
C Chen, Y Shen, Y You
Abstract and Applied Analysis 2013, 2013
462013
On the convergence rate of customized proximal point algorithm for convex optimization and saddle-point problem (in Chinese)
B He, Y Shen
Sci Sin Math 42 (5), 515--525, 2012
112012
On the O (1/t) convergence rate of Ye–Yuan’s modified alternating direction method of multipliers
Y Shen, M Xu
Applied Mathematics and Computation 226, 367-373, 2014
72014
A partial PPA block-wise ADMM for multi-block linearly constrained separable convex optimization
Y Shen, X Zhang, X Zhang
Optimization, 1-27, 2020
62020
Relaxed augmented Lagrangian-based proximal point algorithms for convex optimization with linear constraints
Y Shen, W Zhang, B He
Journal of Industrial & Management Optimization 10 (3), 743, 2014
42014
An alternating minimization method for robust principal component analysis
Y Shen, H Xu, X Liu
Optimization Methods and Software 34 (6), 1251-1276, 2019
32019
A Partial PPa S-ADMM for Multi-Block for Separable Convex Optimization with Linear Constraints
Y Shen, Y Zuo, A Yu
Optimization online, 2020
12020
New augmented Lagrangian-based proximal point algorithm for convex optimization with equality constraints
Y Shen, H Wang
Journal of Optimization Theory and Applications 171 (1), 251-261, 2016
12016
A faster generalized ADMM-based algorithm using a sequential updating scheme with relaxed step sizes for multiple-block linearly constrained separable convex programming
Y Shen, Y Zuo, X Zhang
Journal of Computational and Applied Mathematics 393, 113503, 2021
2021
A partially proximal S-ADMM for separable convex optimization with linear constraints
Y Shen, Y Zuo, A Yu
Applied Numerical Mathematics 160, 65-83, 2021
2021
Convergence study on strictly contractive Peaceman–Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms
P Li, Y Shen, S Jiang, Z Liu, C Chen
Computational Optimization and Applications 78 (1), 87-124, 2021
2021
An alternating minimization method for matrix completion problems
Y Shen, X Liu
Discrete & Continuous Dynamical Systems-S 13 (6), 1757, 2020
2020
Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step
Y Shen, L Ji
Journal of Industrial & Management Optimization 15 (1), 159, 2019
2019
A Self-Adaptive Projection and Contraction Method for Optimizing the Sum of a Convex and a Quadratic Function
Y Shen, C Wang
Pacific Journal of Optimization 9 (1), 137-154, 2013
2013
一些求解结构型优化的一阶算法
申远
南京大学, 2012
2012
凸二次规划梯度类算法中步长对收敛速度的影响
何炳生, 崔睿赟, 李敏, 申远, 徐明华, 袁晓明
2008
对偶二分单纯形算法
申远, 潘平奇
中国运筹学会第八届学术交流会论文集, 2006
2006
A Modified Proximal Symmetric ADMM for Multi-Block Separable Convex Optimization with Linear Constraints
Y Shen, Y Zuo, X Zhang
A New Sequential Updating Scheme of the Lagrange Multiplier for Multi-Block Linearly Constrained Separable Convex Optimization with Relaxed Step Sizes
Y Shen, Y Zuo, X Zhang
The system can't perform the operation now. Try again later.
Articles 1–20