| Controlled Markov Processes and Viscosity Solutions 2006 Edition Contributor(s): Fleming, Wendell H. (Author), Soner, Halil Mete (Author) |
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ISBN: 0387260455 ISBN-13: 9780387260457 Publisher: Springer OUR PRICE: $189.99 Product Type: Hardcover - Other Formats Published: November 2005 Annotation: This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity solutions. The authors approach stochastic control problems by the method of dynamic programming. The text provides an introduction to dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. A new Chapter X gives an introduction to the role of stochastic optimal control in portfolio optimization and in pricing derivatives in incomplete markets. Chapter VI of the First Edition has been completely rewritten, to emphasize the relationships between logarithmic transformations and risk sensitivity. A new Chapter XI gives a concise introduction to two-controller, zero-sum differential games. Also covered are controlled Markov diffusions and viscosity solutions of Hamilton-Jacobi-Bellman equations. The authors have tried, through 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. In this Second Edition, new material on applications to mathematical finance has been added. Concise introductions to risk-sensitive control theory, nonlinear H-infinity control and differential games are also included. |
| Additional Information |
| BISAC Categories: - Business & Economics | Finance - General - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Dewey: 519.233 |
| LCCN: 2005929857 |
| Series: Stochastic Modelling and Applied Probability |
| Physical Information: 0.97" H x 6.34" W x 9.54" (1.60 lbs) 429 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. New chapters in this second edition introduce the role of stochastic optimal control in portfolio optimization and in pricing derivatives in incomplete markets and two-controller, zero-sum differential games. |