Incomplete Orthogonal Distance Regression

被引：0
|
作者：
A. Atieg
G. A. Watson
机构：
[1] University of Dundee,Department of Mathematics
来源：
BIT Numerical Mathematics | 2004年 / 44卷
关键词：
least squares; orthogonal distances; Gauss–Newton method;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A common method of fitting curves and surfaces to data is to minimize the sum of squares of the orthogonal distances from the data points to the curve or surface, a process known as orthogonal distance regression. Here we consider fitting geometrical objects to data when some orthogonal distances are not available. Methods based on the Gauss–Newton method are developed, analyzed and illustrated by examples.
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页码：619 / 629
页数：10
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