Gonglin Yuan

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 Modified Hestenes and Stiefel Conjugate Gradient Algorithm for Large-Scale Nonsmooth Minimizations and Nonlinear Equations

Yong Li, Gonglin Yuan, Zehong Meng, 2015, Journal of Optimization Theory and Applications.

New Conjugate Gradient Algorithms Based on New Conjugacy Condition

Gonglin Yuan, Gaohui Peng, 2016, ICCCS.

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

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

A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations

Maojun Zhang, Gonglin Yuan, Gonglin Yuan, 2015, J. Comput. Appl. Math..

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.

The global convergence of a modified BFGS method for nonconvex functions

Gonglin Yuan, Zhou Sheng, Wujie Hu, 2018, J. Comput. Appl. Math..

A Modified Wei-Yao-Liu Conjugate Gradient Algorithm for Two Type Minimization Optimization Models

Xiaoliang Wang, Gonglin Yuan, Wujie Hu, 2018, ICCCS.

A BFGS trust-region method for nonlinear equations

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

Convergence analysis of a modified BFGS method on convex minimizations

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

A modified PRP conjugate gradient method

Xiwen Lu, Gonglin Yuan, Xiwen Lu, 2009, Ann. Oper. Res..

The Projection Technique for Two Open Problems of Unconstrained Optimization Problems

Gonglin Yuan, Zhou Sheng, Xiaoliang Wang, 2020, Journal of Optimization Theory and Applications.

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

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

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..

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..

An active-set algorithm for solving large-scale nonsmooth optimization models with box constraints

Gonglin Yuan, Zhou Sheng, Yong Li, 2018, PloS one.

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..

Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor

Qin Ni, Gonglin Yuan, Zhou Sheng, 2019, J. Comput. Appl. Math..

A conjugate gradient method with descent direction for unconstrained optimization

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

The Hager–Zhang conjugate gradient algorithm for large-scale nonlinear equations

Gonglin Yuan, Zhou Sheng, Bopeng Wang, 2018, Int. J. Comput. Math..

A Modified Dai-Yuan Conjugate Gradient Algorithm for Large-Scale Optimization Problems

Tingting Li, Gonglin Yuan, 2018, ICCCS.

A new adaptive trust region algorithm for optimization problems

Gonglin Yuan, Zhou Sheng, Zengru Cui, 2018 .

A Nonmonotone Line Search Method for Regression Analysis

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2009 .

A new backtracking inexact BFGS method for symmetric nonlinear equations

Xiwen Lu, Gonglin Yuan, Xiwen Lu, 2008, Comput. Math. Appl..

A Conjugate Gradient Method for Unconstrained Optimization Problems

Gonglin Yuan, Gonglin Yuan, 2009, Int. J. Math. Math. Sci..

An effective adaptive trust region algorithm for nonsmooth minimization

Gonglin Yuan, Zhou Sheng, Gonglin Yuan, 2018, Comput. Optim. Appl..

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 .

Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems

Gonglin Yuan, Gonglin Yuan, 2009, Optim. Lett..

A model of mathematical point set for urban transport system

Jian Zhou, Gonglin Yuan, Xiaojin Huang, 2011, 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet).

A Conjugate Gradient Algorithm with Yuan-Wei-Lu Line Search

Gonglin Yuan, Zhou Sheng, Wujie Hu, 2017, ICCCS.

The modified PRP conjugate gradient algorithm under a non-descent line search and its application in the Muskingum model and image restoration problems

Gonglin Yuan, Junyu Lu, Zhan Wang, 2021, Soft Computing.

Stochastic Bigger Subspace Algorithms for Nonconvex Stochastic Optimization

Gonglin Yuan, Yingjie Zhou, Liping Wang, 2021, IEEE Access.

A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification

Bing Xue, Gonglin Yuan, Mengjie Zhang, 2021, PRICAI.

Adaptive scaling damped BFGS method without gradient Lipschitz continuity

Gonglin Yuan, Yingjie Zhou, Mengxiang Zhang, 2022, Appl. Math. Lett..

A Modified Consumer Price Index

Gonglin Yuan, Gonglin Yuan, Xiangrong Li, 2010 .

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

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2016 .

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

Xiwen Lu, Gonglin Yuan, Zengxin Wei, 2017 .

The PRP conjugate gradient algorithm with a modified WWP line search and its application in the image restoration problems

Gonglin Yuan, Junyu Lu, Zhan Wang, 2020, Applied Numerical Mathematics.

A New Method with Descent Property for Symmetric Nonlinear Equations

Gonglin Yuan, Gonglin Yuan, 2010 .

A Modified Hestenes-Stiefel Conjugate Gradient Algorithm for Large-Scale Optimization

Gonglin Yuan, Gonglin Yuan, Maojun Zhang, 2013 .

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

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2014 .

A Modified Limited SQP Method For Constrained Optimization

Gonglin Yuan, Sha Lu, Shan Lu, 2010 .

A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations

Gonglin Yuan, Gonglin Yuan, Wujie Hu, 2018, Journal of Inequalities and Applications.

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

Gonglin Yuan, Zengxin Wei, Zengxin Wei, 2012 .

A BFGS algorithm for solving symmetric nonlinear equations

Gonglin Yuan, Shengwei Yao, Gonglin Yuan, 2013 .

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 .

An adaptive trust region algorithm for large-residual nonsmooth least squares problems

Gonglin Yuan, Zhou Sheng, Xiabin Duan, 2017 .

The Modified HZ Conjugate Gradient Algorithm for Large-Scale Nonsmooth Optimization

Wenjie Liu, Gonglin Yuan, Zhou Sheng, 2016, PloS one.

A Novel Parameter Estimation Method for Muskingum Model Using New Newton-Type Trust Region Algorithm

Aijia Ouyang, Gonglin Yuan, Zhou Sheng, 2014 .