NONMONOTONE CURVED SEARCH METHODS FOR UNCONSTRAINED OPTIMIZATION

被引：0

作者：

邓乃扬

肖奕

周方俊

机构：

[1] Beijing 100022

[2] Beijing 100083

[3] Beijing 100084

[4] Beijing Agricultural Engineering University

[5] Beijing PolytechnicUniversity

[6] Department of Applied Mathematics

[7] PRC

[8] PRC.

[9] Tsinghua University

来源：

Numerical Mathematics A Journal of Chinese Universities(English Series) | 1992年 / 01期

关键词：

Unconstrained optimization; curved search; nonmonolone method; convergence;

D O I：

暂无

中图分类号：

65K05. 90C30 [];

学科分类号：

摘要：

In this paper two nonmonolone curved search (NCS) algorithms fur unconstrained optimization are presented. The NCS algorithms possess both a global convergence properly and a quadratic rale of convergence. Some numerical results are also reported which show that the NCS algorithn is superior to the usual curved search (UCS)aIgorithm for typical lest problems.

引用

页码：34 / 48

页数：15

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