An improved trust region algorithm for nonlinear constrained optimization

被引：0

作者：

Liu, Yu ^{[1
]}

Tian, Zhi-yuan ^{[1
]}

Zhang, Qi ^{[1
]}

机构：

[1] Qingdao Univ, Coll Math, Qingdao 266071, Peoples R China

来源：

PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON GAME THEORY AND APPLICATIONS | 2007年

关键词：

nonlinear constrained optimization; trust region algorithm; feasible decent direction; global convergence; superlinear convergence;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we. present an improved trust region algorithm for nonlinear constrained optimization, which gives an assistant feasible decent direction in order to reduce the number of calculation. Base on some assume, the global convergence and superlinear convergence of this method are given.

引用

页码：123 / 126

页数：4

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