Stochastic optimization methods with constraints
We give a survey of recursive methods for the solution of optimization problems concentrating on issues of convergence, and rate of convergence, of gradient and search procedures with a priori information about the noise. We consider various types of constraints on the feasible region of the argument of the function to be optimized.
scientific article; zbMATH DE number 4079177