Zengxin Wei

发表

A General Approach to Convergence Properties of Some Methods for Nonsmooth Convex Optimization

L. Qi, J. Birge, Zengxin Wei, 1998 .

A Variant of the Topkis—Veinott Method for Solving Inequality Constrained Optimization Problems

L. Qi, J. Birge, Zengxin Wei, 2000 .

New conjugacy condition and related new conjugate gradient methods for unconstrained optimization

Guoyin Li, Zengxin Wei, Chunming Tang, 2007 .

A nonmonotone adaptive trust-region algorithm for symmetric nonlinear equations

Zengxin Wei, Gonglin Yuan, Cui-Ling Chen, 2010 .

BFGS trust-region method for symmetric nonlinear equations

Xiwen Lu, Zengxin Wei, Gonglin Yuan, 2009 .

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

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2017 .

A LIMITED MEMORY BFGS ALGORITHM WITH SUPER RELAXATION TECHNIQUE FOR NONLINEAR EQUATIONS

Zengxin Wei, Gonglin Yuan, Xupei Zhao, 2013 .

Modified active set projected spectral gradient method for bound constrained optimization

Zengxin Wei, Yunhai Xiao, Qingjie Hu, 2011 .

New line search methods for unconstrained optimization

Zengxin Wei, Gonglin Yuan, 2009 .

The superlinear convergence analysis of a nonmonotone BFGS algorithm on convex objective functions

Zengxin Wei, Gonglin Yuan, 2008 .

Convergence analysis on a modified generalized alternating direction method of multipliers

Zengxin Wei, Shan Lu, 2018, Journal of inequalities and applications.

Multi-Task Feature Learning

Zengxin Wei, Gonglin Yuan, Yaping Hu, 2015 .

WITHDRAWN: Differentiable implicitly restarted Lanczos method for computing eigenpairs and their derivatives of large symmetric matrix-valued functions

Zengxin Wei, Shan Lu, Yaping Hu, 2013 .

MODIFIED LIMITED MEMORY BFGS METHOD WITH NONMONOTONE LINE SEARCH FOR UNCONSTRAINED OPTIMIZATION

Zengxin Wei, Gonglin Yuan, Yanlin Wu, 2010 .

Non Monotone Backtracking Inexact BFGS Method for Regression Analysis

Zengxin Wei, Gonglin Yuan, 2013 .

A Modified Gauss-Newton-based BFGS Method for Symmetric Nonlinear Equations

Xiwen Lu, Zengxin Wei, Gonglin Yuan, 2006 .

An active-set projected trust-region algorithm with limited memory BFGS technique for box-constrained nonsmooth equations

Zengxin Wei, Gonglin Yuan, L. Qi, 2013 .

Global convergence of a modified limited memory BFGS method for non-convex minimization

Zengxin Wei, Yunhai Xiao, T. Li, 2013 .

A Trust Region Algorithm with Conjugate Gradient Technique for Optimization Problems

Zengxin Wei, Gonglin Yuan, 2011 .

A modified conjugate gradient algorithm for optimization problems

Zengxin Wei, Gonglin Yuan, Hai Chen, 2011, 2011 International Conference on Multimedia Technology.

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

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

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

Zengxin Wei, Shan Lu, Lue Li, 2010, Computational Optimization and Applications.

On a Separation Principle for Nonconvex Sets

Gaohang Yu, Guoyin Li, Zengxin Wei, 2008 .

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

Zengxin Wei, Sha Lu, Zengxin Wei, 2020 .

A manufacturing supply chain optimization model for distilling process

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

A Nonmonotone Line Search Method for Regression Analysis

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2009 .

Further study of multi-granulation fuzzy rough sets

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

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 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.

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

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

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

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

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

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

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

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

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

Liqun Qi, Zengxin Wei, Zengxin Wei, 2000, SIAM J. Optim..

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

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

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

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

A nonmonotone trust region method for unconstrained optimization

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

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..

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..

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.

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..

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..

The convergence properties of some new conjugate gradient methods

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

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

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2016 .

Convergence analysis of a modified BFGS method on convex minimizations

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

Limited memory BFGS method with backtracking for symmetric nonlinear equations

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

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 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 .

A BFGS trust-region method for nonlinear equations

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

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

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

A conjugate gradient method with descent direction for unconstrained optimization

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

Global convergence of a modified limited memory BFGS method for non-convex minimization

Zengxin Wei, Yunhai Xiao, T. Li, 2013, Acta Mathematicae Applicatae Sinica, English Series.

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

Zengxin Wei, Jiangtao Mo, Zengxin Wei, 2006 .

New quasi-Newton methods for unconstrained optimization problems

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

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

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

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

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

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

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

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

Zengxin Wei, Shengwei Yao, Liying Liu, 2008 .

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

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

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 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 modified Liu-Storey conjugate gradient projection algorithm for nonlinear monotone equations

Zengxin Wei, Yaping Hu, 2014 .

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

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

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 .

Hybrid conjugate gradient methods for unconstrained optimization

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