Abstract stochastic approximations and applications
An abstract recursive algorithm of stochastic approximation type for Hilbert-space valued processes is studied. Several applications where such abstract algorithms arise, e.g. in problems of identification of (possibly distributed) systems and optimization problems, are given. Convergence theorems for the general and the linear case are proved.
scientific article; zbMATH DE number 4107966
scientific article