In this paper, we address the computational issue of approximating Markov operators which are widely used in the stochastic study of chaotic dynamical systems. We will concentrate on a quasi Monte Carlo implementation of piecewise linear Markov approximations that preserve the Markov structure.
Print ISSN: 0929-9629
Volume: 9, 12/2003
Pages: 295 - 309