We present a simple method for obtaining rate of convergence estimates for approximations in optimal control problems. Although the method is applicable to a wide range of approximation problems, it requires in all cases some type of smoothness of the quantity being approximated. We illustrate the method by presenting a number of examples, including finite difference schemes for stochastic and deterministic optimal control problems. A general principle can be abstracted, and indeed the method may be applied to a variety of approximation problems, such as the numerical approximation of nonlinear PDEs not a priori related to control theory. [References: 26]
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