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Adaptive Markov Control Processes, Onesimo Hernandez-Lerma


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Автор: Onesimo Hernandez-Lerma
Название:  Adaptive Markov Control Processes
ISBN: 9781461264545
Издательство: Springer
Классификация:
ISBN-10: 1461264545
Обложка/Формат: Paperback
Страницы: 148
Вес: 0.25 кг.
Дата издания: 29.10.2012
Серия: Applied Mathematical Sciences
Язык: English
Размер: 234 x 156 x 9
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is concerned with a class of discrete-time stochastic control processes known as controlled Markov processes (CMP`s), also known as Markov decision processes or Markov dynamic programs.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 8384.00 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Discrete-Time Markov Control Processes

Автор: Hernandez-Lerma
Название: Discrete-Time Markov Control Processes
ISBN: 0387945792 ISBN-13(EAN): 9780387945798
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.

Filtering and Control of Random Processes

Автор: H. Korezlioglu; G. Mazziotto; J. Szpirglas
Название: Filtering and Control of Random Processes
ISBN: 3540132708 ISBN-13(EAN): 9783540132707
Издательство: Springer
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Цена: 12157.00 р.
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An Introduction to Markov Processes

Автор: Stroock Daniel W.
Название: An Introduction to Markov Processes
ISBN: 3540234519 ISBN-13(EAN): 9783540234517
Издательство: Springer
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Цена: 8384.00 р.
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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.

Adaptive Markov Control Processes

Автор: Onesimo Hernandez-Lerma
Название: Adaptive Markov Control Processes
ISBN: 0387969667 ISBN-13(EAN): 9780387969664
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This book is concerned with a class of discrete-time stochastic control processes known as controlled Markov processes (CMP`s), also known as Markov decision processes or Markov dynamic programs.

Further Topics on Discrete-Time Markov Control Processes

Автор: Onesimo Hernandez-Lerma; Jean B. Lasserre
Название: Further Topics on Discrete-Time Markov Control Processes
ISBN: 1461268184 ISBN-13(EAN): 9781461268185
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes, the text is mainly confined to MCPs with Borel state and control spaces.

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 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.

Controlled Markov Processes and Viscosity Solutions

Автор: Wendell H. Fleming; Halil Mete Soner
Название: Controlled Markov Processes and Viscosity Solutions
ISBN: 1441920781 ISBN-13(EAN): 9781441920782
Издательство: Springer
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Цена: 16769.00 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.

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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