Markov Chains and Decision Processes for Engineers and Managers

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Release : 2016-04-19
Genre : Mathematics
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Book Rating : 121/5 ( reviews)

Markov Chains and Decision Processes for Engineers and Managers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Markov Chains and Decision Processes for Engineers and Managers write by Theodore J. Sheskin. This book was released on 2016-04-19. Markov Chains and Decision Processes for Engineers and Managers available in PDF, EPUB and Kindle. Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly prescriptive, with little justification for the steps of the algorithms u

Continuous-Time Markov Decision Processes

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Release : 2009-09-18
Genre : Mathematics
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Book Rating : 471/5 ( reviews)

Continuous-Time Markov Decision Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Continuous-Time Markov Decision Processes write by Xianping Guo. This book was released on 2009-09-18. Continuous-Time Markov Decision Processes available in PDF, EPUB and Kindle. Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

Markov Processes and Controlled Markov Chains

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Release : 2013-12-01
Genre : Mathematics
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Book Rating : 65X/5 ( reviews)

Markov Processes and Controlled Markov Chains - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Markov Processes and Controlled Markov Chains write by Zhenting Hou. This book was released on 2013-12-01. Markov Processes and Controlled Markov Chains available in PDF, EPUB and Kindle. The general theory of stochastic processes and the more specialized theory of Markov processes evolved enormously in the second half of the last century. In parallel, the theory of controlled Markov chains (or Markov decision processes) was being pioneered by control engineers and operations researchers. Researchers in Markov processes and controlled Markov chains have been, for a long time, aware of the synergies between these two subject areas. However, this may be the first volume dedicated to highlighting these synergies and, almost certainly, it is the first volume that emphasizes the contributions of the vibrant and growing Chinese school of probability. The chapters that appear in this book reflect both the maturity and the vitality of modern day Markov processes and controlled Markov chains. They also will provide an opportunity to trace the connections that have emerged between the work done by members of the Chinese school of probability and the work done by the European, US, Central and South American and Asian scholars.

Continuous-Time Markov Decision Processes

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Release : 2010-04-29
Genre : Mathematics
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Book Rating : 488/5 ( reviews)

Continuous-Time Markov Decision Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Continuous-Time Markov Decision Processes write by Xianping Guo. This book was released on 2010-04-29. Continuous-Time Markov Decision Processes available in PDF, EPUB and Kindle. Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

Competitive Markov Decision Processes

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Release : 2012-12-06
Genre : Business & Economics
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Book Rating : 549/5 ( reviews)

Competitive Markov Decision Processes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Competitive Markov Decision Processes write by Jerzy Filar. This book was released on 2012-12-06. Competitive Markov Decision Processes available in PDF, EPUB and Kindle. This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to present a rig orous treatment that combines two significant research topics: Stochastic Games and Markov Decision Processes, which have been studied exten sively, and at times quite independently, by mathematicians, operations researchers, engineers, and economists. Since Markov decision processes can be viewed as a special noncompeti tive case of stochastic games, we introduce the new terminology Competi tive Markov Decision Processes that emphasizes the importance of the link between these two topics and of the properties of the underlying Markov processes. The book is designed to be used either in a classroom or for self-study by a mathematically mature reader. In the Introduction (Chapter 1) we outline a number of advanced undergraduate and graduate courses for which this book could usefully serve as a text. A characteristic feature of competitive Markov decision processes - and one that inspired our long-standing interest - is that they can serve as an "orchestra" containing the "instruments" of much of modern applied (and at times even pure) mathematics. They constitute a topic where the instruments of linear algebra, applied probability, mathematical program ming, analysis, and even algebraic geometry can be "played" sometimes solo and sometimes in harmony to produce either beautifully simple or equally beautiful, but baroque, melodies, that is, theorems.