Stochastic Differential Systems, Norbert Christopeit; Kurt Helmes; Michael Kohlmann

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Цена: 139340.00 T
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Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.

Автор: Zhang
Название: Non-cooperative Stochastic Differential Game Theory of Generalized Markov Jump Linear Systems
ISBN: 3319405861 ISBN-13(EAN): 9783319405865
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book systematically studies the stochastic non-cooperative differential game theory of generalized linear Markov jump systems and its application in the field of finance and insurance. The book is an in-depth research book of the continuous time and discrete time linear quadratic stochastic differential game, in order to establish a relatively complete framework of dynamic non-cooperative differential game theory. It uses the method of dynamic programming principle and Riccati equation, and derives it into all kinds of existence conditions and calculating method of the equilibrium strategies of dynamic non-cooperative differential game. Based on the game theory method, this book studies the corresponding robust control problem, especially the existence condition and design method of the optimal robust control strategy. The book discusses the theoretical results and its applications in the risk control, option pricing, and the optimal investment problem in the field of finance and insurance, enriching the achievements of differential game research. This book can be used as a reference book for non-cooperative differential game study, for graduate students majored in economic management, science and engineering of institutions of higher learning.

Автор: B. Grigelionis
Название: Stochastic Differential Systems
ISBN: 3540104984 ISBN-13(EAN): 9783540104988
Издательство: Springer
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Цена: 81050.00 T
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Автор: M. Kohlmann; N. Christopeit
Название: Stochastic Differential Systems
ISBN: 3540120610 ISBN-13(EAN): 9783540120612
Издательство: Springer
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Цена: 81050.00 T
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Автор: M. Metivier; E. Pardoux
Название: Stochastic Differential Systems
ISBN: 3540151761 ISBN-13(EAN): 9783540151760
Издательство: Springer
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Цена: 81050.00 T
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Автор: M. Arato; D. Vermes; A.V. Balakrishnan
Название: Stochastic Differential Systems
ISBN: 3540110380 ISBN-13(EAN): 9783540110385
Издательство: Springer
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Цена: 81050.00 T
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Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

Автор: Leonid Shaikhet
Название: Lyapunov Functionals and Stability of Stochastic Functional Differential Equations
ISBN: 3319033522 ISBN-13(EAN): 9783319033525
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book offers a detailed description of Lyapunov functional construction. It features profuse analytical and numerical examples and demonstrates a method that can be usefully applied in economic, mechanical, biological and ecological systems.

Автор: Govindan
Название: Yosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
ISBN: 3319456822 ISBN-13(EAN): 9783319456829
Издательство: Springer
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Цена: 102480.00 T
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Описание: This research monograph brings together, for the first time, the varied literature on Yosida approximations of stochastic differential equations (SDEs) in infinite dimensions and their applications into a single cohesive work. The author provides a clear and systematic introduction to the Yosida approximation method and justifies its power by presenting its applications in some practical topics such as stochastic stability and stochastic optimal control. The theory assimilated spans more than 35 years of mathematics, but is developed slowly and methodically in digestible pieces.The book begins with a motivational chapter that introduces the reader to several different models that play recurring roles throughout the book as the theory is unfolded, and invites readers from different disciplines to see immediately that the effort required to work through the theory that follows is worthwhile. From there, the author presents the necessary prerequisite material, and then launches the reader into the main discussion of the monograph, namely, Yosida approximations of SDEs, Yosida approximations of SDEs with Poisson jumps, and their applications. Most of the results considered in the main chapters appear for the first time in a book form, and contain illustrative examples on stochastic partial differential equations. The key steps are included in all proofs, especially the various estimates, which help the reader to get a true feel for the theory of Yosida approximations and their use.This work is intended for researchers and graduate students in mathematics specializing in probability theory and will appeal to numerical analysts, engineers, physicists and practitioners in finance who want to apply the theory of stochastic evolution equations. Since the approach is based mainly in semigroup theory, it is amenable to a wide audience including non-specialists in stochastic processes.

Автор: Boris L. Rozovskii; Richard B. Sowers
Название: Stochastic Partial Differential Equations and Their Applications
ISBN: 3540552928 ISBN-13(EAN): 9783540552925
Издательство: Springer
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Цена: 81050.00 T
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Описание: The main topics for discussion at the confe-rence were: non-linear SPDE`s and Markov property for randomfields, modern stochastic calculuses, numerical and asympto-tic methods for SPDE`s, applications of SPDE`s with emphasisonnon-linear filtering, stochastic control and statisticalfluid dynamics.

Автор: Vasile Dragan; Toader Morozan; Adrian-Mihail Stoic
Название: Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
ISBN: 1441906290 ISBN-13(EAN): 9781441906298
Издательство: Springer
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Цена: 135090.00 T
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Описание: This book provides a common unifying framework for discrete-time stochastic systems corrupted with both independent random perturbations and with Markovian jumps. These subjects are typically covered independently.

Автор: Irena Lasiecka; Roberto Triggiani
Название: Control Problems for Systems Described by Partial Differential Equations and Applications
ISBN: 3540180540 ISBN-13(EAN): 9783540180548
Издательство: Springer
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Цена: 81050.00 T
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Описание: Conference on Control Problems for Systems Described by Partial Differential Equations and Applications