常小凯｜兰州理工大学｜学者主页

2026

Averaged proximal reflected gradient method for monotone variational inequalities

Xiaokai Chang, Jialin Li, Jun Yang

Computational Optimization and Applications

DOI

2026

Enhancing efficiency of proximal gradient method with predicted and corrected step sizes

Xiaokai Chang, Ke Guo, Sanyang Liu, Jen-Chih Yao

Journal of Computational and Applied Mathematics

DOI

2025

求解双线性鞍点问题的自由步长原始对偶算法

许龙，常小凯

《计算数学》

2025

A convex combination based primal-dual algorithm with linesearch for general convex-concave saddle point problems

Xiaokai Chang, Junfeng Yang, Hongchao Zhang

IMA Journal of Numerical Analysis

DOI

2025

A separate preconditioned primal-dual splitting algorithm for composite monotone inclusion problems

Xiaokai Chang, Xingran Zhao, Long Xu

Applied Numerical Mathematics

DOI

2025

A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems

Xiaokai Chang, Junfeng Yang, Jianchao Bai, Jianxiong Cao

SIAM Journal on Imaging Sciences

DOI

2024

A splitting preconditioned primal-dual algorithm with interpolation and extrapolation for bilinear saddle point problem

Xiaokai Chang, Long Xu, Jianxiong Cao

Numerical Algorithms

DOI

2023

基于序列线性组合的原始–对偶算法

颜鲁林，常小凯

《工程数学学报》

2023

Accelerated Stochastic Peaceman–Rachford Method for Empirical Risk Minimization

Jianchao Bai, Fengmiao Bian, Xiaokai Chang, Lin Du

Journal of the Operations Research Society of China

DOI

2022

一类新的黄金比率原始对偶算法

周丹青，常小凯，杨俊锋

《高等学校计算数学学报》

2022

GRPDA Revisited: Relaxed Condition and Connection to Chambolle-Pock’s Primal-Dual Algorithm

Xiaokai Chang, Junfeng Yang

Journal of Scientific Computing

DOI

2021

A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities

Xiaokai Chang, Jianchao Bai

Journal of Optimization Theory and Applications

DOI

2021

A Golden Ratio Primal–Dual Algorithm for Structured Convex Optimization

Xiaokai Chang, Junfeng Yang

Journal of Scientific Computing

DOI

2021

An inertial subgradient extragradient algorithm with adaptive stepsizes for variational inequality problems

Xiaokai Chang, Sanyang Liu, Zhao Xiang Deng, Suoping Li

Optimization methods & software

DOI

2020

Extragradient method and golden ratio method for equilibrium problems on Hadamard manifolds

Junfeng Chen, Sanyang Liu, Xiaokai Chang

International Journal of Computer Mathematics

DOI

2020

Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter

Xiaokai Chang, Jianchao Bai, Dunjiang Song, Sanyang Liu

CALCOLO

DOI

2020

A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond

Liang Chen, Xiaokai Chang, Sanyang Liu

Asia Pacific Journal of Operational Research

DOI

2019

基于交替方向乘子法和算子分裂的优化算法

常小凯

《西安电子科技大学》

2019

Convergence revisit on generalized symmetric ADMM

Jianchao Bai, Xiaokai Chang, Jicheng Li, Fengmin Xu

Optimization

DOI

2019

Modified Tseng's extragradient methods for variational inequality on Hadamard manifolds

Junfeng Chen, Sanyang Liu, Xiaokai Chang

Applicable Analysis

DOI

2019

A generalization of linearized alternating direction method of multipliers for solving two-block separable convex programming

Xiaokai Chang, Sanyang Liu, Pengjun Zhao, Dunjiang Song

Journal of Computational and Applied Mathematics

DOI

2019

A Family of Multi-Parameterized Proximal Point Algorithms

Jianchao Bai, Ke Guo, Xiaokai Chang

IEEE Access

DOI

2018

A note on the sufficient initial condition ensuring the convergence of directly extended 3-block ADMM for special semidefinite programming

Xiaokai Chang, Sanyang Liu, Pengjun Zhao

Optimization

DOI

2017

Convergent prediction–correction-based ADMM for multi-block separable convex programming

Xiaokai Chang, Sanyang Liu, Pengjun Zhao, Xu Li

Journal of Computational and Applied Mathematics

DOI

2016

三维无线传感器网络定位的可行方向算法

常小凯，朱婉婕，李德奎

《北京邮电大学学报》

2016

A feasible method for sensor network localization

Xiaokai Chang, Sanyang Liu

Optimization methods & software

DOI

2016

A 2-block semi-proximal ADMM for solving the H-weighted nearest correlation matrix problem

Xiaokai Chang, Sanyang Liu

Optimization

DOI

2016

Modified alternating direction method of multipliers for convex quadratic semidefinite programming

Xiaokai Chang, Sanyang Liu, Xu Li

Neurocomputing

DOI

2015

具有随机扰动的酗酒模型的稳定性分析

黄灿云，葛杨，常小凯

《兰州理工大学学报》

2014

二次半定规划的增广拉格朗日算法

常小凯

《计算数学》

2014

Parallel Implementation of Feasible Direction Algorithm for Large-Scale Sensor Network Location Problems

Xiaokai Chang, Xue Wei

IEEE International Conference on Dependable, Autonomic and Secure Computing

DOI

2011

半定规划内点算法的搜索方向研究

常小凯

《辽宁工程技术大学》

2010

一类二次半定规划内点算法的搜索方向

高雷阜，常小凯

《数学的实践与认识》

常小凯

精选作品

期刊论文

Averaged proximal reflected gradient method for monotone variational inequalities

Enhancing efficiency of proximal gradient method with predicted and corrected step sizes

求解双线性鞍点问题的自由步长原始对偶算法

A convex combination based primal-dual algorithm with linesearch for general convex-concave saddle point problems

A separate preconditioned primal-dual splitting algorithm for composite monotone inclusion problems

A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems

A splitting preconditioned primal-dual algorithm with interpolation and extrapolation for bilinear saddle point problem

基于序列线性组合的原始–对偶算法

Accelerated Stochastic Peaceman–Rachford Method for Empirical Risk Minimization

一类新的黄金比率原始对偶算法

GRPDA Revisited: Relaxed Condition and Connection to Chambolle-Pock’s Primal-Dual Algorithm

A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities

A Golden Ratio Primal–Dual Algorithm for Structured Convex Optimization

An inertial subgradient extragradient algorithm with adaptive stepsizes for variational inequality problems

Extragradient method and golden ratio method for equilibrium problems on Hadamard manifolds

Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter

A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond

基于交替方向乘子法和算子分裂的优化算法

Convergence revisit on generalized symmetric ADMM

Modified Tseng's extragradient methods for variational inequality on Hadamard manifolds

A generalization of linearized alternating direction method of multipliers for solving two-block separable convex programming

A Family of Multi-Parameterized Proximal Point Algorithms

A note on the sufficient initial condition ensuring the convergence of directly extended 3-block ADMM for special semidefinite programming

Convergent prediction–correction-based ADMM for multi-block separable convex programming

三维无线传感器网络定位的可行方向算法

A feasible method for sensor network localization

A 2-block semi-proximal ADMM for solving the H-weighted nearest correlation matrix problem

Modified alternating direction method of multipliers for convex quadratic semidefinite programming

具有随机扰动的酗酒模型的稳定性分析

二次半定规划的增广拉格朗日算法

Parallel Implementation of Feasible Direction Algorithm for Large-Scale Sensor Network Location Problems

半定规划内点算法的搜索方向研究

一类二次半定规划内点算法的搜索方向

预印本

A New Primal-Dual Algorithm with Convex Combination and Extrapolation for Convex-Concave Saddle Point Problems with Nonlinear Coupling Term

Proximal extrapolated gradient methods with prediction and correction for monotone variational inequalities