Abstract
Stochastic approximation in a Hilbert space is considered. The main objective is to develop asymptotic theory for a computable finite dimensional approximation scheme. Nonlinear operators are treated, and a sequence of monotone projection operators is employed in the recursive algorithm. Under suitable conditions, convergence with respect to the weak topology is obtained