Reconstruction of numerical derivatives from scattered noisy data

Based on the thin plate spline approximation theory, we propose in this paper an effective regularization algorithm for the reconstruction of numerical derivatives from two-dimensional scattered noisy data. The convergence results under two different choice rules for the regularization parameter are given. Numerical results show that the proposed method is effective and stable.