A computational method for stochastic optimization

Abstract

In this paper a computational method to obtain the solution to an unconstrained stochastic optimization problem is presented. A conjugate gradient scheme is applied to generate a sequence of random variables approximating the optimum solution to the problem. Under certain conditions, this, sequence converges to the optimum solution in the mean-square sense… (More)

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