Hezhi Luo

According to our database, Hezhi Luo authored at least 21 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A new global algorithm for factor-risk-constrained mean-variance portfolio selection.

Huixian Wu, Hezhi Luo, Xianye Zhang, Jianzhen Liu

J. Glob. Optim., November, 2023

An effective global algorithm for worst-case linear optimization under polyhedral uncertainty.

Huixian Wu, Hezhi Luo, Xianye Zhang, Haiqiang Qi

J. Glob. Optim., September, 2023

Effective algorithms for separable nonconvex quadratic programming with one quadratic and box constraints.

Hezhi Luo, Xianye Zhang, Huixian Wu, Weiqiang Xu

Comput. Optim. Appl., September, 2023

2021

A new branch-and-cut algorithm for non-convex quadratic programming via alternative direction method and semidefinite relaxation.

Hezhi Luo, Sikai Chen, Huixian Wu

Numer. Algorithms, 2021

Convergence analysis of modified pth power Lagrangian algorithms with alternative updating strategies for constrained nonconvex optimization.

Huixian Wu, Hezhi Luo, Fangying Zheng, Jianfang Yang

J. Comput. Appl. Math., 2021

Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties.

Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li

INFORMS J. Comput., 2021

An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation.

Xiaodong Ding, Hezhi Luo, Huixian Wu, Jianzhen Liu

Comput. Optim. Appl., 2021

2019

New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation.

Hezhi Luo, Xiaodi Bai, Gino J. Lim, Jiming Peng

Math. Program. Comput., 2019

Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods.

Hezhi Luo, Xiaodi Bai, Jiming Peng

J. Optim. Theory Appl., 2019

2015

On Saddle Points in Semidefinite Optimization via Separation Scheme.

Hezhi Luo, Huixian Wu, Jianzhen Liu

J. Optim. Theory Appl., 2015

Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting.

Jiming Peng, Tao Zhu, Hezhi Luo, Kim-Chuan Toh

Comput. Optim. Appl., 2015

2014

Nonlinear separation approach for the augmented Lagrangian in nonlinear semidefinite programming.

Huixian Wu, Hezhi Luo, Jianfang Yang

J. Glob. Optim., 2014

2013

Some Results on Augmented Lagrangians in Constrained Global Optimization via Image Space Analysis.

Hezhi Luo, Huixian Wu, Jianzhen Liu

J. Optim. Theory Appl., 2013

Global convergence of modified augmented Lagrangian methods for nonlinear semidefinite programming.

Huixian Wu, Hezhi Luo, Xiaodong Ding, Guanting Chen

Comput. Optim. Appl., 2013

2012

Saddle points of general augmented Lagrangians for constrained nonconvex optimization.

Huixian Wu, Hezhi Luo

J. Glob. Optim., 2012

On the convergence of augmented Lagrangian methods for nonlinear semidefinite programming.

Hezhi Luo, Huixian Wu, Guangting Chen

J. Glob. Optim., 2012

2010

On the convergence properties of modified augmented Lagrangian methods for mathematical programming with complementarity constraints.

Hezhi Luo, Xiaoling Sun, Yifan Xu, Huixian Wu

J. Glob. Optim., 2010

2009

The global convergence of augmented Lagrangian methods based on NCP function in constrained nonconvex optimization.

Huixian Wu, Hezhi Luo, S. L. Li

Appl. Math. Comput., 2009

2008

Convergence properties of augmented Lagrangian methods for constrained global optimization.

Hezhi Luo, Xiaoling Sun, Huixian Wu

Optim. Methods Softw., 2008

2007

On the Convergence of Augmented Lagrangian Methods for Constrained Global Optimization.

Hezhi Luo, Xiaoling Sun, Duan Li

SIAM J. Optim., 2007

On Characterizations of <i>D-η</i>-Properly Prequasi-Invex Function.

Huixian Wu, Hezhi Luo

J. Syst. Sci. Complex., 2007