CSpace  > 计算数学与科学工程计算研究所
Modified two-point stepsize gradient methods for unconstrained optimization
Dai, YH; Yuan, JY; Yuan, YX
2002-04-01
发表期刊COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
ISSN0926-6003
卷号22期号:1页码:103-109
摘要For unconstrained optimization, the two-point stepsize gradient method is preferable over the classical steepest descent method both in theory and in real computations. In this paper we interpret the choice for the stepsize in the two-point stepsize gradient method from the angle of interpolation and propose two modified two-point stepsize gradient methods. The modified methods are globally convergent under some mild assumptions on the objective function. Numerical results are reported, which suggest that improvements have been achieved.
关键词unconstrained optimization steepest descent method two-point stepsize gradient method nonmonotone line search
语种英语
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000174634500005
出版者KLUWER ACADEMIC PUBL
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/17670
专题计算数学与科学工程计算研究所
通讯作者Dai, YH
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math, LSEC, Beijing 100080, Peoples R China
2.Univ Fed Parana, Ctr Politecn, Dept Matemat, BR-81531990 Curitiba, Parana, Brazil
推荐引用方式
GB/T 7714
Dai, YH,Yuan, JY,Yuan, YX. Modified two-point stepsize gradient methods for unconstrained optimization[J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,2002,22(1):103-109.
APA Dai, YH,Yuan, JY,&Yuan, YX.(2002).Modified two-point stepsize gradient methods for unconstrained optimization.COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,22(1),103-109.
MLA Dai, YH,et al."Modified two-point stepsize gradient methods for unconstrained optimization".COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 22.1(2002):103-109.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Dai, YH]的文章
[Yuan, JY]的文章
[Yuan, YX]的文章
百度学术
百度学术中相似的文章
[Dai, YH]的文章
[Yuan, JY]的文章
[Yuan, YX]的文章
必应学术
必应学术中相似的文章
[Dai, YH]的文章
[Yuan, JY]的文章
[Yuan, YX]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。