On a Monte Carlo method algorithm for computing functionals defined by the paths of a non-linear set of stochastic differential equations

Abstract

A NEW algorithm is described for a Monte Carlo method of computing the functionals associated with the paths of a non-linear set of a stochastic differential equations. The algorithm is based on the ‘essential sampling’ principle.