Homogeneous Denumerable Markov Processes
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Beschreibung
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.
Autor*in
Zhenting Hou
Themen in »Homogeneous Denumerable Markov Processes«
Kernel Markov Markov chain Markov process Moment Random variable Rang probability probability theory queueing theory