Druck auf Anfrage Neuware - Printed after ordering - In the mathematical treatment of many problems which arise in physics, economics, engineering, management, etc., the researcher frequently faces two major difficulties: infinite dimensionality and randomness of the evolution process. Infinite dimensionality occurs when the evolution in time of a process is accompanied by a space-like dependence; for example, spatial distribution of the temperature for a heat-conductor, spatial dependence of the time-varying displacement of a membrane subject to external forces, etc. Randomness is intrinsic to the mathematical formulation of many phenomena, such as fluctuation in the stock market, or noise in communication networks. Control theory of distributed parameter systems and stochastic systems focuses on physical phenomena which are governed by partial differential equations, delay-differential equations, integral differential equations, etc., and stochastic differential equations of various types. This has been a fertile field of research with over 40 years of history, which continues to be very active under the thrust of new emerging applications. Among the subjects covered are: Control of distributed parameter systems; Stochastic control; Applications in finance/insurance/manufacturing; Adapted control; Numerical approximation . It is essential reading for applied mathematicians, control theorists, economic/financial analysts and engineers.

N� de ref. del art�culo 9781475748680

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Detalles bibliogr�ficos

T�tulo: Control of Distributed Parameter and Stochastic Systems : Proceedings of the IFIP WG 7.2 International Conference, June 19-22, 1998 Hangzhou, China
Editor: Springer US, Springer US
Fecha de publicaci�n: 2013
Idioma: Ingl�s
ISBN 10: 147574868X
ISBN 13: 9781475748680
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 235�mil�metros de ancho por 155 de alto por 19 de largo
Peso: 528 gramos

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Sinopsis

In the mathematical treatment of many problems which arise in physics, economics, engineering, management, etc., the researcher frequently faces two major difficulties: infinite dimensionality and randomness of the evolution process. Infinite dimensionality occurs when the evolution in time of a process is accompanied by a space-like dependence; for example, spatial distribution of the temperature for a heat-conductor, spatial dependence of the time-varying displacement of a membrane subject to external forces, etc. Randomness is intrinsic to the mathematical formulation of many phenomena, such as fluctuation in the stock market, or noise in communication networks. Control theory of distributed parameter systems and stochastic systems focuses on physical phenomena which are governed by partial differential equations, delay-differential equations, integral differential equations, etc., and stochastic differential equations of various types. This has been a fertile field of research with over 40 years of history, which continues to be very active under the thrust of new emerging applications.
Among the subjects covered are:

Control of distributed parameter systems;
Stochastic control;
Applications in finance/insurance/manufacturing;
Adapted control;
Numerical approximation

.
It is essential reading for applied mathematicians, control theorists, economic/financial analysts and engineers.

Rese�a del editor

Control of distributed parameter systems;
Stochastic control;
Applications in finance/insurance/manufacturing;
Adapted control;
Numerical approximation

.
It is essential reading for applied mathematicians, control theorists, economic/financial analysts and engineers.

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

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