Hongwei Liu

发表

Rank-two update algorithms for the minimum volume enclosing ellipsoid problem

Feng Ye, Weijie Cong, Hongwei Liu, 2010, Computational Optimization and Applications.

Non-monotone projection gradient method for non-negative matrix factorization

Xiuyun Zheng, Xiangli Li, Hongwei Liu, 2010, Computational Optimization and Applications.

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.

Simplified full Nesterov–Todd step infeasible interior-point algorithm for semidefinite optimization based on a kernel function

Hongwei Liu, Weiwei Wang, Hongmei Bi, 2018, 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.

Smoothing projected Barzilai–Borwein method for constrained non-Lipschitz optimization

Yakui Huang, Hongwei Liu, 2016, Computational Optimization and Applications.

Convergence Results of a New Monotone Inertial Forward–Backward Splitting Algorithm Under the Local Hölder Error Bound Condition

Ting Wang, Hongwei Liu, 2022, Applied Mathematics & Optimization.

Quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization

Hongwei Liu, Shuisheng Zhou, Yakui Huang, 2014, Data Mining and Knowledge Discovery.

Modified subspace Barzilai-Borwein gradient method for non-negative matrix factorization

Xiangli Li, Hongwei Liu, Xiangli Li, 2012, Computational Optimization and Applications.

Accelerated augmented Lagrangian method for total variation minimization

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

A new subspace minimization conjugate gradient method based on conic model for large-scale unconstrained optimization

Ting Wang, Hong-Wei Liu, Yufei Li, 2022, Computational and Applied Mathematics.

New gradient methods with adaptive stepsizes by approximate models

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

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..

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.

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

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

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 Limited Memory Subspace Minimization Conjugate Gradient Algorithm for Unconstrained Optimization

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