Title of article
A weighted least squares method for scattered data fitting
Author/Authors
Zhou، نويسنده , , Tianhe and Han، نويسنده , , Danfu Han، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
8
From page
56
To page
63
Abstract
In this paper, we present a weighted least squares method to fit scattered data with noise. Existence and uniqueness of a solution are proved and an error bound is derived. The numerical experiments illustrate that our weighted least squares method has better performance than the traditional least squares method in case of noisy data.
Keywords
Bernstein–Bezier representation of spline , Weighted least squares method , scattered data
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2008
Journal title
Journal of Computational and Applied Mathematics
Record number
1554399
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