[PDF.68cz] Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems (Cambridge Tracts in Mathematics)

Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems (Cambridge Tracts in Mathematics)

[PDF.if73] Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems (Cambridge Tracts in Mathematics)

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 | #3262476 in eBooks |  2016-12-22 |  2017-01-10 | File type: PDF

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||About the Author|Mikhail Menshikov is Professor in the Department of Mathematical Sciences at the University of Durham. His research interests include percolation theory, where Menshikov's theorem is a cornerstone of the subject. He has published extensively on

Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data transmission. They (and the real systems they model) are often subject to phase transitions, behaving in one way when a parameter is below a certain critical value, then switching behaviour as soon as that critical value is reached. In a real system, we do not necessarily have control over all the parameter values, so it is ...

You can specify the type of files you want, for your device.Non-homogeneous Random Walks: Lyapunov Function Methods for Near-Critical Stochastic Systems (Cambridge Tracts in Mathematics)   |  Mikhail Menshikov, Serguei Popov, Andrew Wade. Just read it with an open mind because none of us really know.

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