Homogeneous Denumerable Markov Processes

Qingfeng Guo

ISBN 10: 3642681298 / ISBN 13: 9783642681295

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011, 2011

Beschreibung

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch.

Bestandsnummer des Verkäufers 9783642681295

Bibliografische Details

• Titel: Homogeneous Denumerable Markov Processes
• Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011
• Erscheinungsjahr: 2011
• Sprache: Englisch
• ISBN-10: 3642681298
• ISBN-13: 9783642681295
• Einband: Taschenbuch
• Zustand: Neu

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Inhaltsangabe

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.