Scattered Hermite interpolation using radial basis functions

In this paper, a new scattered Hermite interpolation using radial basis functions is constructed and an algorithm for computing approximate derivatives (gradients) of scattered data is presented. The approximate derivatives computed by the latter algorithm are used as the initial conditions for the former Hermite interpolation. The experimental results confirm that it obtains better reproduction quality and smaller approximation error than radial basis functions interpolation.