Importance Separation for Solving Integral Equations

摘要

In this paper we describe and study importance separation Monte Carlo method for integral equations. Based on known results for integrals, we extend this method for solving integral equations. The method combines the idea of separation of the domain into uniformly small subdomains (adaptive technique) with the Kahn approach of importance sampling. We analyze the error and compare the results with the crude Monte Carlo method.