Homogeneous Denumerable Markov Processes

Zhenting Hou

ISBN 10: 3642681298 / ISBN 13: 9783642681295

Published by Springer, Springer Dez 2011, 2011

About this Item

This item is printed on demand - it takes 3-4 days longer - 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. 300 pp. Englisch.

Seller Inventory # 9783642681295

Bibliographic Details

• Title: Homogeneous Denumerable Markov Processes
• Publisher: Springer, Springer Dez 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3642681298
• ISBN 13: 9783642681295
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 17D millimeters 244 millimeters width by 170 millimeters height by 17 millimeters depth
• Weight: 522 grams

About this title

Synopsis

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.