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Generated dynamics of markov and quantum processes, Janssen, Martin


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Автор: Janssen, Martin
Название:  Generated dynamics of markov and quantum processes
ISBN: 9783662496947
Издательство: Springer
Классификация:


ISBN-10: 3662496941
Обложка/Формат: Hardcover
Страницы: 243
Вес: 0.53 кг.
Дата издания: 28.04.2016
Язык: English
Издание: 2016 ed.
Иллюстрации: 35 black & white illustrations, 1 colour illustrations, 1 colour tables, biography
Размер: 166 x 244 x 19
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents Markov and quantum processes as twosides of a coin called generated stochastic processes. It deals withquantum processes as reversible stochastic processes generated byone-step unitary operators, while Markov processes are irreversible stochasticprocesses generated by one-step stochastic operators.


Markov Decision Processes with Their Applications

Автор: Qiying Hu; Wuyi Yue
Название: Markov Decision Processes with Their Applications
ISBN: 1441942386 ISBN-13(EAN): 9781441942388
Издательство: Springer
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Цена: 23058.00 р.
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Описание:

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters.

Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. The book presents four main topics that are used to study optimal control problems: a new methodology for MDPs with discounted total reward criterion; transformation of continuous-time MDPs and semi-Markov decision processes into a discrete-time MDPs model, thereby simplifying the application of MDPs; MDPs in stochastic environments, which greatly extends the area where MDPs can be applied; applications of MDPs in optimal control of discrete event systems, optimal replacement, and optimal allocation in sequential online auctions.

This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal control, operation research, communications, manufacturing, economics, and electronic commerce.

Markov Processes, Gaussian Processes, and Local Times

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
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Цена: 12038.00 р.
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Описание: Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through `mini-courses` on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.

Controlled Markov Processes and Viscosity Solutions

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: 18167.00 р.
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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.

Markov Decision Processes in Practice

Автор: Richard Boucherie; Nico M van Dijk
Название: Markov Decision Processes in Practice
ISBN: 3319477641 ISBN-13(EAN): 9783319477640
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Markov Decision Processes: Discrete Stochastic Dynamic Programming

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: 20584.00 р.
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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.

Simulation-based Algorithms for Markov Decision Processes

Автор: Chang Hyeong Soo
Название: Simulation-based Algorithms for Markov Decision Processes
ISBN: 144715021X ISBN-13(EAN): 9781447150213
Издательство: Springer
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Цена: 19591.00 р.
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Описание: The updated 2nd edition of this book covers MDPs in constrained settings and with uncertain transition properties; approximation stochastic annealing, a population-based on-line simulation-based algorithm; game-theoretic method for solving MDPs and more.

Semi-Markov Processes and Reliability

Автор: N. Limnios; G. Oprisan
Название: Semi-Markov Processes and Reliability
ISBN: 1461266408 ISBN-13(EAN): 9781461266402
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Not even a serious study of the renewal processes is possible without using the strong tool of Markov processes. The semi-Markov processes generalize the renewal processes as well as the Markov jump processes and have numerous applications, especially in relia- bility.


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