Robust solutions to linear approximation problems under ellipsoidal uncertainty

被引：0
|
作者：
Watson, GA [1 ]
机构：
[1] Univ Dundee, Dept Math, Dundee DD1 4HN, Scotland
来源：
TOTAL LEAST SQUARES AND ERRORS-IN-VARIABLES MODELING: ANALYSIS, ALGORITHMS AND APPLICATIONS | 2002年
关键词：
robust fitting; ellipsoidal bounded uncertainty; linear errors-in-variables model; total l(p); norm approximation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The problem of fitting a linear model to data, under uncertainty which can be regarded as being ellipsoidal, is considered in a very general setting. For a range of such problems, robust counterparts axe established, and methods of solution axe considered.
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页码：213 / 222
页数：10
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