Stochastic Approximation and Recursive Algorithms and Applications

Name: Stochastic Approximation and Recursive Algorithms and Applications
Brand: Springer-Verlag New York Inc.
SKU: 9781441918475
Price: 4712 CZK
Availability: InStock

Autor: Harold J. Kushner, G. George Yin

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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§This revised and expanded second edition presents a thorough development of the modern theory of st...

Informace o knize

Autor

Harold J. Kushner, G. George Yin

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

478

EAN

9781441918475

ISBN

1441918477

Enbook ID

01420762

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

772

Rozměry

237 x 157 x 26

Kompletní popis

§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.

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Stochastic Approximation and Recursive Algorithms and Applications

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