A nonmonotone quasi-Newton trust-region method of conic model for unconstrained optimization

Author： Qu Shao-Jian   Zhang Qing-Pu   Jiang Su-Da  

Publisher： Taylor & Francis Ltd

ISSN： 1055-6788

Source： Optimization Methods and Software, Vol.24, Iss.3, 2009-06, pp. : 339-367

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Improved Adaptive Trust-Region Method for Unconstrained Optimization

By    

Mathematical Modelling and Analysis, Vol. 19, Iss. 4, 2014-08 ,pp. : 469-490

Taylor & Francis Ltd

Access to resources Recommend Favorite

A new modified nonmonotone adaptive trust region method for unconstrained optimization

By Cui Zhaocheng  

Computational Optimization and Applications, Vol. 53, Iss. 3, 2012-12 ,pp. : 795-806

Springer Publishing Company

Access to resources Recommend Favorite

Global Convergence of a Nonmonotone Trust Region Algorithm with Memory for Unconstrained Optimization

By Yu Zhensheng  

Journal of Mathematical Modelling and Algorithms, Vol. 10, Iss. 2, 2011-06 ,pp. : 109-118

Springer Publishing Company

Access to resources Recommend Favorite

On memory gradient method with trust region for unconstrained optimization

By Shi Zhen-Jun   Shen Jie  

Numerical Algorithms, Vol. 41, Iss. 2, 2006-02 ,pp. : 173-196

Springer Publishing Company

Access to resources Recommend Favorite

Numerical Experience with Multiple Update Quasi-Newton Methods for Unconstrained Optimization

By Moghrabi Issam  

Journal of Mathematical Modelling and Algorithms, Vol. 6, Iss. 2, 2007-06 ,pp. : 231-238

Springer Publishing Company

Access to resources Recommend Favorite