Stochastic Interpolating Functions—Applications in Optimization
Ian Schagen · IMA Journal of Applied Mathematics · 1980
A function of m variables may be modelled with a stochastic interpolating function, given a finite set of data points. This leads to an optimization technique which is applicable to functions which are expensive to evaluate.