Zengxin Wei

发表

An active-set projected trust region algorithm for box constrained optimization problems

Maojun Zhang, Gonglin Yuan, Zengxin Wei, 2014, Journal of Systems Science and Complexity.

A manufacturing supply chain optimization model for distilling process

Zengxin Wei, Jiangtao Mo, Liqun Qi, 2005, Appl. Math. Comput..

A Modified Non-Monotone BFGS Method for Non-Convex Unconstrained Optimization

Liying Liu, Zengxin Wei, Shengwei Yao, 2014, Asia Pac. J. Oper. Res..

A limited memory BFGS-type method for large-scale unconstrained optimization

Zhiguo Wang, Yunhai Xiao, Zengxin Wei, 2008, Comput. Math. Appl..

A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs

Guoyin Li, Gonglin Yuan, Zengxin Wei, 2014, J. Comput. Appl. Math..

Wei–Yao–Liu conjugate gradient projection algorithm for nonlinear monotone equations with convex constraints

Yaping Hu, Zengxin Wei, Zengxin Wei, 2015, Int. J. Comput. Math..

多粒化的粗糙集代数 (Rough Set Algebra of Multi-granulation)

Zengxin Wei, Qingzhao Kong, 2016, 计算机科学.

A nonmonotone trust region method for unconstrained optimization

Zengxin Wei, Jiangtao Mo, Kecun Zhang, 2005, Appl. Math. Comput..

A Line Search Algorithm for Unconstrained Optimization

Gonglin Yuan, Zengxin Wei, Sha Lu, 2010, J. Softw. Eng. Appl..

A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Equations

Gonglin Yuan, Zengxin Wei, Yong Li, 2015, PloS one.

Convergence Analysis on an Accelerated Proximal Point Algorithm for Linearly Constrained Optimization Problems

Zengxin Wei, Sha Lu, Zengxin Wei, 2020 .

Hybrid conjugate gradient methods for unconstrained optimization

Zengxin Wei, Jiangtao Mo, Nengzhu Gu, 2007, Optim. Methods Softw..

A BFGS trust-region method for nonlinear equations

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2011, Computing.

A new version of the Liu-Storey conjugate gradient method

Guoyin Li, Chun-Ming Tang, Zengxin Wei, 2007, Appl. Math. Comput..

Convergence analysis of a modified BFGS method on convex minimizations

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2010, Comput. Optim. Appl..

The proof of the sufficient descent condition of the Wei-Yao-Liu conjugate gradient method under the strong Wolfe-Powell line search

Zengxin Wei, Shengwei Yao, Hai Huang, 2007, Appl. Math. Comput..

A new trust-region method with line search for solving symmetric nonlinear equations

Gonglin Yuan, Zengxin Wei, Sha Lu, 2011, Int. J. Comput. Math..

Further study of multi-granulation fuzzy rough sets

Zengxin Wei, Qingzhao Kong, Zengxin Wei, 2017, J. Intell. Fuzzy Syst..

The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions

Gonglin Yuan, Zengxin Wei, Yuning Yang, 2019, J. Comput. Appl. Math..

A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization

Yunhai Xiao, Zengxin Wei, Zengxin Wei, 2007, Appl. Math. Comput..

Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization

Gonglin Yuan, Zengxin Wei, Zhongxing Wang, 2012, Computational Optimization and Applications.

Limited memory BFGS method with backtracking for symmetric nonlinear equations

Gonglin Yuan, Zengxin Wei, Sha Lu, 2011, Math. Comput. Model..

The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization

Gonglin Yuan, Zengxin Wei, Gaohang Yu, 2004, Comput. Optim. Appl..

New nonlinear conjugate gradient formulas for large-scale unconstrained optimization problems

Guoyin Li, Zengxin Wei, Liqun Qi, 2006, Appl. Math. Comput..

Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search

Zengxin Wei, Gaohang Yu, Lutai Guan, 2009, Appl. Math. Comput..

多粒化的模糊粗糙集代数 (Fuzzy Rough Set Algebra of Multi-granulation)

Zengxin Wei, Qingzhao Kong, 2016, 计算机科学.

A Rank-One Fitting Method with Descent Direction for Solving Symmetric Nonlinear Equations

Gonglin Yuan, Zengxin Wei, Zhongxing Wang, 2009, Int. J. Commun. Netw. Syst. Sci..

A conjugate gradient method with descent direction for unconstrained optimization

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2009, J. Comput. Appl. Math..

The superlinear convergence of a new quasi-Newton-SQP method for constrained optimization

Liying Liu, Zengxin Wei, Shengwei Yao, 2008, Appl. Math. Comput..

A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems

Zengxin Wei, Shengwei Yao, Xiwen Lu, 2013, J. Appl. Math..

The convergence properties of some new conjugate gradient methods

Liying Liu, Zengxin Wei, Shengwei Yao, 2006, Appl. Math. Comput..

A trust region algorithm with adaptive cubic regularization methods for nonsmooth convex minimization

Lue Li, Zengxin Wei, Sha Lu, 2012, Comput. Optim. Appl..

Some global convergence properties of the Wei-Yao-Liu conjugate gradient method with inexact line search

Zengxin Wei, Sha Lu, Liliu Mo, 2011, Appl. Math. Comput..

A Nonmonotone Line Search Method for Regression Analysis

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2009 .

A note about WYL's conjugate gradient method and its applications

Zengxin Wei, Shengwei Yao, Hai Huang, 2007, Appl. Math. Comput..

A descent nonlinear conjugate gradient method for large-scale unconstrained optimization

Zengxin Wei, Gaohang Yu, Yanlin Zhao, 2007, Appl. Math. Comput..

Error bound results for generalized D-gap functions of nonsmooth variational inequality problems

Guoyin Li, Chun-Ming Tang, Zengxin Wei, 2010, J. Comput. Appl. Math..

The convergence of a new modified BFGS method without line searches for unconstrained optimization or complexity systems

Xiaoping Wu, Liying Liu, Zengxin Wei, 2010, J. Syst. Sci. Complex..

A network simplex algorithm for simple manufacturing network model

Zengxin Wei, Jiangtao Mo, Liqun Qi, 2005 .

New quasi-Newton methods for unconstrained optimization problems

Guoyin Li, Zengxin Wei, Liqun Qi, 2006, Appl. Math. Comput..

A Trust-Region-Based BFGS Method with Line Search Technique for Symmetric Nonlinear Equations

Gonglin Yuan, Zengxin Wei, Shide Meng, 2009, Adv. Oper. Res..

Several Numerical Optimization Methods 几类数值优化方法

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2015 .

On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods

Zengxin Wei, Liqun Qi, Zengxin Wei, 1999, SIAM J. Optim..

A modified PRP conjugate gradient algorithm with nonmonotone line search for nonsmooth convex optimization problems

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2016 .

A variant of SQP method for inequality constrained optimization and its global convergence

Zengxin Wei, Jiangtao Mo, Zengxin Wei, 2006 .

Global convergence of BFGS and PRP methods under a modified weak Wolfe–Powell line search

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2017 .

A modified Polak–Ribière–Polyak conjugate gradient algorithm for large-scale optimization problems

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2014 .

The Barzilai and Borwein Gradient Method with Nonmonotone Line Search for Nonsmooth Convex Optimization Problems

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2012 .

The global and superlinear convergence of a new nonmonotone MBFGS algorithm on convex objective functions

Zengxin Wei, Shengwei Yao, Liying Liu, 2008 .

Inexact Accelerated Proximal Gradient Algorithms For Matrix l_{2,1}-Norm Minimization Problem in Multi-Task Feature Learning

Gonglin Yuan, Zengxin Wei, Yaping Hu, 2014 .

Nonlinear Conjugate Gradient Methods with Sufficient Descent Condition for Large-Scale Unconstrained Optimization

Yunhai Xiao, Zengxin Wei, Jianguo Zhang, 2009 .