Abstract
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.