关于不旋转高斯消去误差估计的注记

E. Chu, A. George
{"title":"关于不旋转高斯消去误差估计的注记","authors":"E. Chu, A. George","doi":"10.1145/1057941.1057942","DOIUrl":null,"url":null,"abstract":"This article deals with the problem of estimating the error in the computed solution to a system of equations when that solution is obtained by using Gaussian elimination without pivoting. The corresponding problem, where either partial or complete pivoting is used, has received considerable attention, and efficient and reliable methods have been developed. However, in the context of solving large sparse systems, it is often very attractive to apply Gaussian elimination without pivoting, even though it cannot be guaranteed a-priori that the computation is numerically stable. When this is done, it is important to be able to determine when serious numerical errors have occurred, and to be able to estimate the error in the computed solution. In this paper a method for achieving this goal is described. Results of a large number of numerical experiments suggest that the method is both inexpensive and reliable.","PeriodicalId":177516,"journal":{"name":"ACM Signum Newsletter","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A note on estimating the error in Gaussian elimination without pivoting\",\"authors\":\"E. Chu, A. George\",\"doi\":\"10.1145/1057941.1057942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article deals with the problem of estimating the error in the computed solution to a system of equations when that solution is obtained by using Gaussian elimination without pivoting. The corresponding problem, where either partial or complete pivoting is used, has received considerable attention, and efficient and reliable methods have been developed. However, in the context of solving large sparse systems, it is often very attractive to apply Gaussian elimination without pivoting, even though it cannot be guaranteed a-priori that the computation is numerically stable. When this is done, it is important to be able to determine when serious numerical errors have occurred, and to be able to estimate the error in the computed solution. In this paper a method for achieving this goal is described. Results of a large number of numerical experiments suggest that the method is both inexpensive and reliable.\",\"PeriodicalId\":177516,\"journal\":{\"name\":\"ACM Signum Newsletter\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Signum Newsletter\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1057941.1057942\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Signum Newsletter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1057941.1057942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本文讨论了用高斯消去法求得方程组解时的误差估计问题。采用部分或完全旋转的相应问题已引起相当大的重视,并已开发出高效可靠的方法。然而,在求解大型稀疏系统的情况下,即使不能先验地保证计算在数值上是稳定的,但不使用旋转的高斯消去法通常是非常有吸引力的。当这样做时,重要的是能够确定何时发生了严重的数值误差,并能够估计计算解中的误差。本文介绍了实现这一目标的一种方法。大量数值实验结果表明,该方法成本低廉,可靠性高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A note on estimating the error in Gaussian elimination without pivoting
This article deals with the problem of estimating the error in the computed solution to a system of equations when that solution is obtained by using Gaussian elimination without pivoting. The corresponding problem, where either partial or complete pivoting is used, has received considerable attention, and efficient and reliable methods have been developed. However, in the context of solving large sparse systems, it is often very attractive to apply Gaussian elimination without pivoting, even though it cannot be guaranteed a-priori that the computation is numerically stable. When this is done, it is important to be able to determine when serious numerical errors have occurred, and to be able to estimate the error in the computed solution. In this paper a method for achieving this goal is described. Results of a large number of numerical experiments suggest that the method is both inexpensive and reliable.
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
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:604180095
Book学术官方微信