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.
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页码：34 / 48
页数：15
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