Journal of Statistical Physics, Vol. 98, Nos. 12, 2000. p. 503-505.
In recent years there has been a flurry of activity in the development of new Monte Carlo algorithms that accelerate the dynamics of particular classes of systems in statistical physics. The present text discusses many of these algorithms including several cluster algorithms, multigrid methods, entropic sampling, simulated tempering, and continuous time Monte Carlo. Classical systems of interest include the nearest neighbor Ising model, the Ising spin glass, ice models, lattice gases, surface diffusion models, and the repton model of polymer electrophoresis...