Bivariate least squares approximation with linear constraints

被引:0
|
作者
G. Pisinger
A. Zimmermann
机构
[1] University of Passau,Department of Mathematics and Computer Science
[2] FORWISS: University of Passau,undefined
来源
BIT Numerical Mathematics | 2007年 / 47卷
关键词
least squares; surface fitting; tensor product splines; linear equality constraints;
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摘要
In this article linear least squares problems with linear equality constraints are considered, where the data points lie on the vertices of a rectangular grid. A fast and efficient computational method for the case when the linear equality constraints can be formulated in a tensor product form is presented. Using the solution of several univariate approximation problems the solution of the bivariate approximation problem can be derived easily.
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页码:427 / 439
页数:12
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