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Decision Criteria and Optimal Inventory Processes, Baoding Liu; Augustine O. Esogbue


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Автор: Baoding Liu; Augustine O. Esogbue
Название:  Decision Criteria and Optimal Inventory Processes
ISBN: 9781461373452
Издательство: Springer
Классификация:



ISBN-10: 146137345X
Обложка/Формат: Paperback
Страницы: 210
Вес: 0.33 кг.
Дата издания: 08.10.2012
Серия: International Series in Operations Research & Management Science
Язык: English
Размер: 234 x 156 x 12
Основная тема: Business and Management
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes.

Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
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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.

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: 204970.00 T
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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: 153720.00 T
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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.


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: 130610.00 T
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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.

Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes

Автор: J.A. V?sek
Название: Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes
ISBN: 9401099154 ISBN-13(EAN): 9789401099158
Издательство: Springer
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Цена: 83850.00 T
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Simulation-Based Algorithms for Markov Decision Processes

Автор: Hyeong Soo Chang; Jiaqiao Hu; Michael C. Fu; Steve
Название: Simulation-Based Algorithms for Markov Decision Processes
ISBN: 144715990X ISBN-13(EAN): 9781447159902
Издательство: Springer
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Цена: 113180.00 T
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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.

Decision Support Systems IV - Information and Knowledge Management in Decision Processes

Автор: Isabelle Linden; Shaofeng Liu; F?tima Dargam; Jorg
Название: Decision Support Systems IV - Information and Knowledge Management in Decision Processes
ISBN: 3319215353 ISBN-13(EAN): 9783319215358
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book contains extended and revised versions of a set of selected papers from two events organized by the Euro Working Group on Decision Support Systems (EWG-DSS), which were held in Toulouse, France and Barcelona, Spain, in June and July 2014.

Decision Processes in Dynamic Probabilistic Systems

Автор: A.V. Gheorghe
Название: Decision Processes in Dynamic Probabilistic Systems
ISBN: 0792305442 ISBN-13(EAN): 9780792305446
Издательство: Springer
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Цена: 102480.00 T
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Описание: 'Et moi -...- si j'avait su comment en revenir. One service mathematics has rendered the je n'y serais point aile: human race. It has put common sense back where it belongs. on the topmost shelf next Jules Verne (0 the dusty canister labelled 'discarded non- sense'. The series is divergent; therefore we may be able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com- puter science .. .'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.

Plural Rationality and Interactive Decision Processes

Автор: Manfred Grauer; Michael Thompson; Andrzej P. Wierz
Название: Plural Rationality and Interactive Decision Processes
ISBN: 3540156755 ISBN-13(EAN): 9783540156758
Издательство: Springer
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Цена: 81050.00 T
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Описание: These Proceedings report the scientific results of the Summer Study on Plural Rationality and Interactive Decision Processes orga- nized jointly by the System and Decision Sciences Program of the Inter- national Institute for Applied Systems Analysis (located in Laxenburg, Austria) and the Hungarian Committee for Applied Systems Analysis.

Decision Processes in Economics

Автор: Gianni Ricci
Название: Decision Processes in Economics
ISBN: 3540535926 ISBN-13(EAN): 9783540535928
Издательство: Springer
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Цена: 102480.00 T
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Описание: These two modes of working on Games are quite different but we think that a unitary approch to Games can be given and this book is an attempt in this direction. Because of asymmetry in the (stochastic) information available the Nash and the Stackelberg games become non standard stochastic diffe- rential games.

Decision Processes in Dynamic Probabilistic Systems

Автор: A.V. Gheorghe
Название: Decision Processes in Dynamic Probabilistic Systems
ISBN: 9401067082 ISBN-13(EAN): 9789401067089
Издательство: Springer
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Цена: 102480.00 T
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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: 55890.00 T
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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.


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