This work is concerned with numerical methods for a class of stochastic control optimizations and stochastic differential games. Numerical procedures based on Markov chain approximation techniques are developed in a framework of generalized Hamilton-Jacobi-Bellman equations. Convergence of the algorithms is derived by means of viscosity solution methods. (C) 2007 Elsevier Ltd. All rights reserved.