戈德斯坦线搜索的改进

IF 1.3 4区 数学 Q2 MATHEMATICS, APPLIED
Arnold Neumaier, Morteza Kimiaei
{"title":"戈德斯坦线搜索的改进","authors":"Arnold Neumaier, Morteza Kimiaei","doi":"10.1007/s11590-024-02110-3","DOIUrl":null,"url":null,"abstract":"<p>This paper introduces <span>CLS</span>, a new line search along an arbitrary smooth search path, that starts at the current iterate tangentially to a descent direction. Like the Goldstein line search and unlike the Wolfe line search, the new line search uses, beyond the gradient at the current iterate, only function values. Using this line search with search directions satisfying the bounded angle condition, global convergence to a stationary point is proved for continuously differentiable objective functions that are bounded below and have Lipschitz continuous gradients. The standard complexity bounds are proved under several natural assumptions.</p>","PeriodicalId":49720,"journal":{"name":"Optimization Letters","volume":"177 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improvement of the Goldstein line search\",\"authors\":\"Arnold Neumaier, Morteza Kimiaei\",\"doi\":\"10.1007/s11590-024-02110-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper introduces <span>CLS</span>, a new line search along an arbitrary smooth search path, that starts at the current iterate tangentially to a descent direction. Like the Goldstein line search and unlike the Wolfe line search, the new line search uses, beyond the gradient at the current iterate, only function values. Using this line search with search directions satisfying the bounded angle condition, global convergence to a stationary point is proved for continuously differentiable objective functions that are bounded below and have Lipschitz continuous gradients. The standard complexity bounds are proved under several natural assumptions.</p>\",\"PeriodicalId\":49720,\"journal\":{\"name\":\"Optimization Letters\",\"volume\":\"177 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optimization Letters\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s11590-024-02110-3\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimization Letters","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11590-024-02110-3","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了 CLS,一种沿着任意平滑搜索路径的新的直线搜索,它从当前迭代点开始,切向下降方向。与戈尔茨坦直线搜索和沃尔夫直线搜索不同,新的直线搜索除了使用当前迭代点的梯度值外,只使用函数值。使用这种线性搜索,搜索方向满足有界角条件,证明了连续可微目标函数对静止点的全局收敛性,这些目标函数在下方有界且梯度为 Lipschitz 连续梯度。在几个自然假设条件下,证明了标准复杂度边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An improvement of the Goldstein line search

An improvement of the Goldstein line search

This paper introduces CLS, a new line search along an arbitrary smooth search path, that starts at the current iterate tangentially to a descent direction. Like the Goldstein line search and unlike the Wolfe line search, the new line search uses, beyond the gradient at the current iterate, only function values. Using this line search with search directions satisfying the bounded angle condition, global convergence to a stationary point is proved for continuously differentiable objective functions that are bounded below and have Lipschitz continuous gradients. The standard complexity bounds are proved under several natural assumptions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Optimization Letters
Optimization Letters 管理科学-应用数学
CiteScore
3.40
自引率
6.20%
发文量
116
审稿时长
9 months
期刊介绍: Optimization Letters is an international journal covering all aspects of optimization, including theory, algorithms, computational studies, and applications, and providing an outlet for rapid publication of short communications in the field. Originality, significance, quality and clarity are the essential criteria for choosing the material to be published. Optimization Letters has been expanding in all directions at an astonishing rate during the last few decades. New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound. At the same time one of the most striking trends in optimization is the constantly increasing interdisciplinary nature of the field. Optimization Letters aims to communicate in a timely fashion all recent developments in optimization with concise short articles (limited to a total of ten journal pages). Such concise articles will be easily accessible by readers working in any aspects of optimization and wish to be informed of recent developments.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信