Estimation and Control Problems for Stochastic Partial Differential Equations

Name: Estimation and Control Problems for Stochastic Partial Differential Equations
Brand: Springer-Verlag New York Inc.
SKU: 9781461482857
Price: 19327 HUF
Availability: InStock

Szerző: Pavel S. Knopov, Olena N. Deriyeva

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Focusing on research surrounding aspects of insufficiently studied problems of estimation and optima...

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Szerző

Pavel S. Knopov, Olena N. Deriyeva

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2013

oldal

183

EAN

9781461482857

ISBN

1461482852

Enbook ID

01429058

Kiadó

Springer-Verlag New York Inc.

Súly

470

Méretek

164 x 245 x 19

Teljes leírás

Focusing on research surrounding aspects of insufficiently studied problems of estimation and optimal control of random fields, this book exposes some important aspects of those fields for systems modeled by stochastic partial differential equations. It contains many results of interest to specialists in both the theory of random fields and optimal control theory who use modern mathematical tools for resolving specific applied problems, and presents research that has not previously been covered. More generally, this book is intended for scientists, graduate, and post-graduates specializing in probability theory and mathematical statistics.§The models presented describe many processes in turbulence theory, fluid mechanics, hydrology, astronomy, and meteorology, and are widely used in pattern recognition theory and parameter identification of stochastic systems. Therefore, this book may also be useful to applied mathematicians who use probability and statistical methods in the selection of useful signals subject to noise, hypothesis distinguishing, distributed parameter systems optimal control, and more. Material presented in this monograph can be used for education courses on the estimation and control theory of random fields.

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Estimation and Control Problems for Stochastic Partial Differential Equations

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