Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability, 35)
by Harold Kushner, G. George Yin
Harold Kushner and G. George Yin present a specialized treatment of stochastic approximation and recursive algorithms, with attention to their applications. Part of the Stochastic Modelling and Applied Probability series, this reference is intended for readers exploring mathematical methods in probability, statistics, and related areas.
About This Book
Stochastic Approximation and Recursive Algorithms and Applications examines stochastic approximation and recursive algorithms as subjects within applied probability and stochastic modelling.
Harold Kushner and G. George Yin present the material for readers interested in the mathematical foundations and applications of these methods.
The book belongs to the Stochastic Modelling and Applied Probability series and is suited to study or reference in mathematics, statistics, probability, and related technical fields.
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