A NONMONOTONIC TRUST REGION TECHNIQUE FOR NONLINEAR CONSTRAINED OPTIMIZATION

被引：0

作者：

ZHU, DT ^{[1
]}

机构：

[1] SHANGHAI NORMAL UNIV,SHANGHAI,PEOPLES R CHINA

来源：

JOURNAL OF COMPUTATIONAL MATHEMATICS | 1995年 / 13卷 / 01期

关键词：

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, a nonmonotonic trust region method for optimization problems with equality constraints is proposed by introducing a nonsmooth merit function and adopting a correction step. It is proved that all accumulation points of the iterates generated by the proposed algorithm are Kuhn-Tucker points and that the algorithm is q-superlinearly convergent.

引用

页码：20 / 31

页数：12

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