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Springer Controlled Markov Processes and Viscosity Solutions: 25 (Stochastic Modelling and Applied Probability, 25)

Name: Controlled Markov Processes and Viscosity Solutions: 25 (Stochastic Modelling and Applied Probability, 25)
Brand: Springer

Decision Making

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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1441920781
Category: Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
Domain: Amazon UK
Release Date: 19 November 2010
Listed Since: 06 July 2010

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Springer Controlled Markov Processes and Viscosity Solutions: 25 (Stochastic Modelling and Applied Probability, 25)

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