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Optimal Decision Procedures For Replacement Problems


Optimal Decision Procedures For Replacement Problems
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Optimal Decision Procedures For Replacement Problems


Optimal Decision Procedures For Replacement Problems
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Author : Yasuo Morimoto
language : en
Publisher:
Release Date : 1970

Optimal Decision Procedures For Replacement Problems written by Yasuo Morimoto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematical optimization categories.




Optimal Replacement Policy For A Partially Observable Markov Decision Process Model


Optimal Replacement Policy For A Partially Observable Markov Decision Process Model
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Author : Chang Eun Kim
language : en
Publisher:
Release Date : 1986

Optimal Replacement Policy For A Partially Observable Markov Decision Process Model written by Chang Eun Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Markov processes categories.




A Replacement Decision Process


A Replacement Decision Process
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Author : Albert N. Halter
language : en
Publisher:
Release Date : 1962

A Replacement Decision Process written by Albert N. Halter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Agriculture categories.




Markov Decision Processes With Their Applications


Markov Decision Processes With Their Applications
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Author : Qiying Hu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-14

Markov Decision Processes With Their Applications written by Qiying Hu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-14 with Business & Economics categories.


Put together by two top researchers in the Far East, this text examines Markov Decision Processes - also called stochastic dynamic programming - and their applications in the optimal control of discrete event systems, optimal replacement, and optimal allocations in sequential online auctions. This dynamic new book offers fresh applications of MDPs in areas such as the control of discrete event systems and the optimal allocations in sequential online auctions.



Multiple Decision Procedures


Multiple Decision Procedures
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Author : Shanti S. Gupta
language : en
Publisher: SIAM
Release Date : 2002-01-01

Multiple Decision Procedures written by Shanti S. Gupta and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Mathematics categories.


An encyclopaedic coverage of the literature in the area of ranking and selection procedures. It also deals with the estimation of unknown ordered parameters. This book can serve as a text for a graduate topics course in ranking and selection. It is also a valuable reference for researchers and practitioners.



Optimal Control Of Spacecraft Replenishment


Optimal Control Of Spacecraft Replenishment
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Author : Robert John Thompson
language : en
Publisher:
Release Date : 1982

Optimal Control Of Spacecraft Replenishment written by Robert John Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Artificial satellites categories.




Maintenance Replacement And Reliability


Maintenance Replacement And Reliability
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Author : Andrew K.S. Jardine
language : en
Publisher: CRC Press
Release Date : 2005-09-29

Maintenance Replacement And Reliability written by Andrew K.S. Jardine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-29 with Technology & Engineering categories.


Based on the results of research in physical asset management, Maintenance, Replacement, and Reliability: Theory and Applications introduces students to the tools for making data-driven decisions and how to use them. The book offers a solid theoretical foundation for these tools, demonstrating applications through various case studies. Firmly rooted in reality, the applications covered relate to areas such as food processing, the military, mining, transportation, steel, and petrochemical and pharmaceutical industries. Ideal for classroom use, this text features supplementary software that can be downloaded from the CRC Web site. The downloadable educational versions of software packages include: OREST, SMS, EXAKT for CBM optimization, PERDEC, Workshop Simulator, Crew Size Optimizer, and WiebullSoft. This book can be used as a textbook for a one-semester senior undergraduate or postgraduate course on maintenance decision analysis. It provides problem sets with answers at the end of each chapter, an extensive set of PowerPoint slides covering the various chapters and appendices, a solutions manual for the problems in the book, and a bank of more than 100 examination questions. Instructors who adopt the book can obtain these resources at www.crcpress.com. The authors approach the topic with the ideology that mathematical modeling is not a spectator sport. Their examination of the underpinning theories for formulating models and exploration of real-world applications make the book both informative and practical. It provides professors with the tools they need to easily teach their students how to transform data into information.



Decision Theory


Decision Theory
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Author : John Bather
language : en
Publisher: John Wiley & Sons
Release Date : 2000-07-26

Decision Theory written by John Bather and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-07-26 with Education categories.


Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author's fluent style will leave the reader with an avid interest in the subject. * Tailored to the needs of students of optimization and decision theory * Written in a lucid style with numerous examples and applications * Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity * Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics * Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters * Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research.



Examples In Markov Decision Processes


Examples In Markov Decision Processes
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Author : A. B. Piunovskiy
language : en
Publisher: World Scientific
Release Date : 2012

Examples In Markov Decision Processes written by A. B. Piunovskiy and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.


This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples published earlier in journal articles or textbooks while several other examples are new. The aim was to collect them together in one reference book which should be considered as a complement to existing monographs on Markov decision processes.The book is self-contained and unified in presentation.The main theoretical statements and constructions are provided, and particular examples can be read independently of others. Examples in Markov Decision Processes is an essential source of reference for mathematicians and all those who apply the optimal control theory to practical purposes. When studying or using mathematical methods, the researcher must understand what can happen if some of the conditions imposed in rigorous theorems are not satisfied. Many examples confirming the importance of such conditions were published in different journal articles which are often difficult to find. This book brings together examples based upon such sources, along with several new ones. In addition, it indicates the areas where Markov decision processes can be used. Active researchers can refer to this book on applicability of mathematical methods and theorems. It is also suitable reading for graduate and research students where they will better understand the theory.



A Markovian Decision Model For A Joint Replacement And Stocking Problem


A Markovian Decision Model For A Joint Replacement And Stocking Problem
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Author : Stanford University. Applied Mathematics and Statistics Laboratory
language : en
Publisher:
Release Date : 1966

A Markovian Decision Model For A Joint Replacement And Stocking Problem written by Stanford University. Applied Mathematics and Statistics Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.


Two important classes of problems encountered by industry and government are those dealing with replacement policies and ordering policies. These problems are usually treated separately. A particular model which treats the replacement and stocking problems as one is considered in this report. It is formulated as a denumerable state Markovian decision model. It is shown that the optimal decision policy has a particular structure. In attaining the optimal policy, this structure is exploited so that an optimal policy can be obtained in a finite number of steps. (Author).