Distributed approximating functional approach to fitting multi-dimensional surfaces

A method for fitting multi-dimensional surfaces using known values of the function on a finite set of grid points is presented. The points in the set need not be regularly distributed in the domain of the variables and in fact can be random. The method is based on the theory of distributed approximating functionals. The method is illustrated by fitting model potential functions of one, two, and three variables.