Controlled Diffusion Processes

Name: Controlled Diffusion Processes
Brand: Springer-Verlag New York Inc.
SKU: 9781461260530
Price: 158.03 EUR
Availability: InStock

Автор: N.V. Krylov, A.B. Aries

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensiv...

Информация за книгата

Автор

N.V. Krylov, A.B. Aries

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

308

EAN

9781461260530

ISBN

1461260531

Enbook ID

02179532

Издател

Springer-Verlag New York Inc.

Теглоt

492

Размери

156 x 236 x 23

Пълно описание

Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. During that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in W onham [76J). At the same time, Girsanov [25J and Howard [26J made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4J. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8J, Mine and Osaki [55J, and Dynkin and Yushkevich [12]. Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.

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Controlled Diffusion Processes

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