Zexian Liu

发表

Modified subgradient extragradient algorithms for solving monotone variational inequalities

Hongwei Liu, Jun Yang, Zexian Liu, 2018, Optimization.

An efficient gradient method with approximately optimal stepsize based on cubic regularization model for large-scale unconstrained optimization

Hongwei Liu, Zexian Liu, Wangli Chu, 2019 .

Accelerated augmented Lagrangian method for total variation minimization

Hongwei Liu, Zexian Liu, Xiping Wang, 2019, Comput. Appl. Math..

An improved nonmonotone adaptive trust region method

Hongwei Liu, Zexian Liu, Y. Xue, 2019, Applications of Mathematics.

BVPs for higher-order integro-differential equations with ϕ-Laplacian and functional boundary conditions

Zexian Liu, Liang Lu, Xiufeng Guo, 2014 .

A subspace minimization conjugate gradient method based on conic model for unconstrained optimization

Hongwei Liu, Zexian Liu, Yufei Li, 2019, Comput. Appl. Math..

A new subspace minimization conjugate gradient method based on modified secant equation for unconstrained optimization

Hongwei Liu, Zexian Liu, Xinliu Diao, 2020, Computational and Applied Mathematics.

A New Dai-Liao Conjugate Gradient Method with Optimal Parameter Choice

Hongwei Liu, Zexian Liu, Keke Zhang, 2018, Numerical Functional Analysis and Optimization.

A new family of conjugate gradient methods for unconstrained optimization

Hongwei Liu, Zexian Liu, Ming Li, 2018 .

Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems

Zexian Liu, Hong-Wei Liu, Wumei Sun, 2022, Numerical Algorithms.

New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization

Hongwei Liu, Zexian Liu, Tingting Zhao, 2020, Numerical Algorithms.

An improved nonmonotone adaptive trust region method

Zexian Liu, Hongwei Liu, Yanqin Xue, 2019, Applications of Mathematics.

A regularized limited memory subspace minimization conjugate gradient method for unconstrained optimization

Zexian Liu, Wumei Sun, Hongwei Liu, 2023, Numerical Algorithms.

A new family of conjugate gradient methods for unconstrained optimization

Zexian Liu, Ming Li, Hongwei Liu, 2017, Journal of Applied Mathematics and Computing.

An improved Dai–Kou conjugate gradient algorithm for unconstrained optimization

Zexian Liu, Y. Dai, Hongwei Liu, 2019, Computational Optimization and Applications.

An Efficient Barzilai–Borwein Conjugate Gradient Method for Unconstrained Optimization

Zexian Liu, Hongwei Liu, 2018, Journal of Optimization Theory and Applications.

Some modified fast iterative shrinkage thresholding algorithms with a new adaptive non-monotone stepsize strategy for nonsmooth and convex minimization problems

Hongwei Liu, Zexian Liu, Ting Wang, 2022, Computational Optimization and Applications.

Convergence Rate of Inertial Forward-Backward Algorithms Based on the Local Error Bound Condition

Hongwei Liu, Zexian Liu, Ting Wang, 2020, 2007.07432.

Accelerated augmented Lagrangian method for total variation minimization

Zexian Liu, Xiping Wang, Hongwei Liu, 2019, Computational and Applied Mathematics.

An efficient gradient method with approximate optimal stepsize for the strictly convex quadratic minimization problem

Hongwei Liu, Hongwei Liu, Zexian Liu, 2018 .

Several efficient gradient methods with approximate optimal stepsizes for large scale unconstrained optimization

Hongwei Liu, Zexian Liu, Hongwei Liu, 2018, J. Comput. Appl. Math..

An efficient gradient method with approximate optimal stepsize for large-scale unconstrained optimization

Hongwei Liu, Zexian Liu, Hongwei Liu, 2017, Numerical Algorithms.

An Efficient Barzilai–Borwein Conjugate Gradient Method for Unconstrained Optimization

Hongwei Liu, Zexian Liu, Hongwei Liu, 2018, J. Optim. Theory Appl..

A new subspace minimization conjugate gradient method with nonmonotone line search for unconstrained optimization

Ming Li, Hongwei Liu, Zexian Liu, 2018, Numerical Algorithms.

BVPs for higher-order integro-differential equations with ϕ-Laplacian and functional boundary conditions

Zexian Liu, Liang Lu, Xiufeng Guo, 2014 .

New gradient methods with adaptive stepsizes by approximate models

Zexian Liu, Ting Wang, Hongwei Liu, 2023, Optimization.

An Efficient Gradient Method with Approximately Optimal Stepsize Based on Tensor Model for Unconstrained Optimization

Hongwei Liu, Zexian Liu, Hongwei Liu, 2019, Journal of Optimization Theory and Applications.

A new adaptive Barzilai and Borwein method for unconstrained optimization

Hongwei Liu, Zexian Liu, Xiaoliang Dong, 2018, Optim. Lett..

A New Subspace Minimization Conjugate Gradient Method for Unconstrained Minimization

Zexian Liu, Yang Ni, Wumei Sun, 2023, Journal of Optimization Theory and Applications.

An efficient gradient method with approximately optimal stepsizes based on regularization models for unconstrained optimization

Zexian Liu, Wangli Chu, Hongwei Liu, 2022, RAIRO Oper. Res..

A Class of Accelerated Subspace Minimization Conjugate Gradient Methods

Hongwei Liu, Wumei Sun, Zexian Liu, 2021, Journal of Optimization Theory and Applications.

An improved Dai–Kou conjugate gradient algorithm for unconstrained optimization

Hongwei Liu, Zexian Liu, Yu-Hong Dai, 2019, Comput. Optim. Appl..

An Improved Gradient Method with Approximately Optimal Stepsize Based on Conic model for Unconstrained Optimization

Hongwei Liu, Zexian Liu, 2019, 1907.10494.

Two efficient gradient methods with approximately optimal stepsizes based on regularization models for unconstrained optimization

Zexian Liu, Hongwei Liu, Wangli Chu, 2019, 1907.01794.

New scaling on the gradient method

Hongwei Liu, Zexian Liu, Ming Li, 2019, Journal of Physics: Conference Series.

A subspace minimization conjugate gradient method based on conic model for unconstrained optimization

Zexian Liu, Yufei Li, Hongwei Liu, 2019, Computational and Applied Mathematics.

A new subspace minimization conjugate gradient method based on tensor model for unconstrained optimization

Ting Wang, Zexian Liu, Hongwei Liu, 2018, Int. J. Comput. Math..

A new subspace minimization conjugate gradient method with nonmonotone line search for unconstrained optimization

Ming Li, Hongwei Liu, Zexian Liu, 2017, Numerical Algorithms.

A Limited Memory Subspace Minimization Conjugate Gradient Algorithm for Unconstrained Optimization

Zexian Liu, Y. Dai, Hongwei Liu, 2021 .