A HOL Theory of the Differential for Matrix Functions

Yuhan Nie, Zhiping Shi, Aixuan Wu, Ximeng Li, Guohui Wang, Yong Guan
{"title":"A HOL Theory of the Differential for Matrix Functions","authors":"Yuhan Nie, Zhiping Shi, Aixuan Wu, Ximeng Li, Guohui Wang, Yong Guan","doi":"10.1109/TASE.2019.00-10","DOIUrl":null,"url":null,"abstract":"The differential of matrix functions(DMF) plays an important role in mathematics and engineering. Common applications of it are found in optimization analysis, computer vision, robotics, etc. In this paper, a formal method based on HOL is used to construct the DMF based on Fréchet differential in matrix space. In order to illustrate the practical effectiveness of our work, we use our formalization to verify a property of matrix exponential.","PeriodicalId":183749,"journal":{"name":"2019 International Symposium on Theoretical Aspects of Software Engineering (TASE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Symposium on Theoretical Aspects of Software Engineering (TASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TASE.2019.00-10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The differential of matrix functions(DMF) plays an important role in mathematics and engineering. Common applications of it are found in optimization analysis, computer vision, robotics, etc. In this paper, a formal method based on HOL is used to construct the DMF based on Fréchet differential in matrix space. In order to illustrate the practical effectiveness of our work, we use our formalization to verify a property of matrix exponential.
矩阵函数微分的HOL理论
矩阵函数的微分(DMF)在数学和工程中占有重要的地位。它的常见应用在优化分析、计算机视觉、机器人等领域。本文采用一种基于正则化的形式化方法来构造矩阵空间中基于fr微分的DMF。为了说明我们的工作的实际有效性,我们用我们的形式化证明了矩阵指数的一个性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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