High order numerical derivatives for one-dimensional scattered noisy data

Based on the smoothing spline approximation, in this paper we propose a regularization method for computing high order numerical derivatives from one-dimensional noisy data. The convergence rates under two different choices of the regularization parameter are obtained. Numerical examples show that the proposed method is effective and stable.