Accelerating convergence in stochastic particle dispersion simulation codes

Recent work in adaptive importance sampling is applied to Markov chain mode ls for Monte Carlo simulations. When this technique is incorporated into th e simulation of physical processes, it can give orders-of-magnitude improve ment in convergence times relative to standard approaches. We review the re lated methodology and illustrate its application.