Reconstruction of Numerical Derivatives from Scattered Noisy Data
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چکیده
Based on the thin plate spline approximation theory, we propose in this paper an efficient regularization algorithm for the reconstruction of numerical derivatives from two-dimensional scattered noisy data. An error estimation that deduces a good regularization parameter is given. Numerical results show that the proposed method is efficient and stable.
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تاریخ انتشار 2004