Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4641733 | Journal of Computational and Applied Mathematics | 2008 | 8 Pages |
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
Tianhe Zhou, Danfu Han,