Homogeneous Denumerable Markov Processes

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Last edited by MARC Bot
September 28, 2024 | History

Homogeneous Denumerable Markov Processes

Markov processes play an important role in the study of probability theory. Homogeneous denumerable Markov processes are among the main topics in the theory and have a wide range of application in various fields of science and technology (for example, in physics, cybernetics, queuing theory and dynamical programming). This book is a detailed presentation and summary of the research results obtained by the authors in recent years. Most of the results are published for the first time. Two new methods are given: one is the minimal nonnegative solution, the second the limit transition method. With the help of these two methods, the authors solve many important problems in the framework of denumerable Markov processes.

Publish Date
Publisher
Springer
Pages
291

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Edition Availability
Cover of: Homogeneous Denumerable Markov Processes
Homogeneous Denumerable Markov Processes
2012, Springer London, Limited
in English
Cover of: Homogeneous Denumerable Markov Processes
Homogeneous Denumerable Markov Processes
Dec 06, 2011, Springer
paperback
Cover of: Homogeneous Denumerable Markov Processes
Homogeneous Denumerable Markov Processes
1988, Island Press
in English

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Book Details


Classifications

Library of Congress
QA273.A1-274.9QA274-, QA273.A1-274.9, QA274-274.9

The Physical Object

Format
paperback
Number of pages
291

Edition Identifiers

Open Library
OL28421857M
ISBN 10
3642681298
ISBN 13
9783642681295

Work Identifiers

Work ID
OL20983988W

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