Article ID Journal Published Year Pages File Type
4641733 Journal of Computational and Applied Mathematics 2008 8 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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