FUNCTION APPROXIMATION.

The article presents a survey of techniques used for function approximation and free form surface reconstruction. A comparative study is performed between classical interpolation methods and two methods based on neural networks. It shows that the neural networks approach provides good approximation and provides better results than classical techniques when used for reconstructing smoothly varying surfaces. The approximation problem belongs to a generic class of problems called inverse problems. An inverse problem might be ill posed or well posed.