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The paper describes a recently developed reformulation of the optimal-filtering equations for a noisily observed diffusion process and discusses the computational implications. The computation involved is the solution of a parabolic partial differential equation whose coefficients are determined by the observed process. A Monte Carlo method of solution is proposed and given in detail as an example. It is argued that nonlinear filtering is now a practical proposition.