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Controlled Markov Processes and Viscosity Solutions

Controlled Markov Processes and Viscosity Solutions

Hardcover

Series: Stochastic Modelling and Applied Probability, Book 25

Investing & FinanceGeneral MathematicsProbability & Statistics

ISBN10: 0387260455
ISBN13: 9780387260457
Publisher: Springer Nature
Published: Nov 17 2005
Pages: 429
Weight: 1.60
Height: 0.97 Width: 6.34 Depth: 9.54
Language: English

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. The authors approach stochastic control problems by the method of dynamic programming. The text covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. New chapters introduce the role of stochastic optimal control in portfolio optimization and in pricing derivatives in incomplete markets and two-controller, zero-sum differential games. Also covered are controlled Markov diffusions and viscosity solutions of Hamilton-Jacobi-Bellman equations. The authors use illustrative examples and selective material to connect stochastic control theory with other mathematical areas (e.g. large deviations theory) and with applications to engineering, physics, management, and finance.

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