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Elsevier Markov Processes for Stochastic Modeling

Name: Markov Processes for Stochastic Modeling
Brand: Elsevier

Applied Mathematics

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Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range ofÿÿareas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriented book that also includes enough theory toÿprovide a solid groundÿin the subject forÿthe reader.

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0323282954
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 03 June 2016
Listed Since: 24 December 2013

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Elsevier Markov Processes for Stochastic Modeling

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