Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Tan and yellow covers with title in yellow lettering; 2nd Edition; 2003, Springer-Verlag Publishing; 500 pages; "Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability, 35)," by Harold Kushner & G. George Yin. N� de ref. del art�culo SKU-044AT02105011

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Detalles bibliogr�ficos

T�tulo: Stochastic Approximation and Recursive ...

Editorial: Springer-Verlag Publishing

A�o de publicaci�n: 2003

Encuadernaci�n: Encuadernaci�n de tapa dura

Condici�n: Very Good

Edici�n: 2.

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Sinopsis:

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a thorough revision, although the main features and structure remain unchanged. It contains many additional applications and results as well as more detailed discussion.

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This revised and expanded second edition presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. There is a complete development of both probability one and weak convergence methods for very general noise processes. The proofs of convergence use the ODE method, the most powerful to date. The assumptions and proof methods are designed to cover the needs of recent applications. The development proceeds from simple to complex problems, allowing the underlying ideas to be more easily understood. Rate of convergence, iterate averaging, high-dimensional problems, stability-ODE methods, two time scale, asynchronous and decentralized algorithms, state-dependent noise, stability methods for correlated noise, perturbed test function methods, and large deviations methods are covered. Many motivating examples from learning theory, ergodic cost problems for discrete event systems, wireless communications, adaptive control, signal processing, and elsewhere illustrate the applications of the theory.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

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Salish Sea Books
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Condiciones de venta:

Thank you for taking an interest in one of our books. We are a mail-order only bookstore located in Bellingham, WA specializing in modern out-of-print books of all genres.

If you are an international customer, we ship internationally by UPS Worldwide Expedited. The average delivery time is 1 to 2 weeks, and each shipment can be fully tracked at www.ups.com. For international shipments, it is important to provide a valid phone number with your order. Most international shipments are delivered wit...

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Stochastic Approximation and Recursive Algorithms and Applications (Stochastic Modelling and Applied Probability, 35)

Harold Kushner & G. George Yin

Usado - Encuadernaci�n de tapa dura

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