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
收藏
页码：34 / 48
页数：15
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