Digital simulation of evolutionary stochastic differential equations

Abstract

Euler, Euler-Cauchy, and Runge-Kutta difference schemes and Fast Fourier-Transform procedures are used to develop efficient methods for the digital simulation of evolutionary stochastic partial differential equations that ensure the desired computational accuracy at minimum cost. Bounds of the computation errors are given.