Discrete-Time Markov Control Processes, Hernandez-Lerma

Автор: Fleming Wendell H., Soner H.M.
Название: Controlled Markov Processes and Viscosity Solutions
ISBN: 0387260455 ISBN-13(EAN): 9780387260457
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book is an introduction to optimal stochastic control for continuous time Markov processes and the 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.

Автор: Stroock Daniel W.
Название: An Introduction to Markov Processes
ISBN: 3540234519 ISBN-13(EAN): 9783540234517
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. A whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium.

Автор: L. C. G. Rogers
Название: Diffusions, Markov Processes and Martingales
ISBN: 0521775930 ISBN-13(EAN): 9780521775939
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: This celebrated volume gives an accessible introduction to stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Together with its companion, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.

Автор: L. C. G. Rogers
Название: Diffusions, Markov Processes, and Martingales
ISBN: 0521775949 ISBN-13(EAN): 9780521775946
Издательство: Cambridge Academ
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Цена: 76030.00 T
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Описание: Now available in paperback, this celebrated book has been prepared with readers` needs in mind, remaining a systematic treatment of the subject whilst retaining its vitality. Together with its companion volume, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 137230.00 T
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Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.