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๐Ÿ“

Markov chains and stochastic stability

โœ Scribed by Sean P. Meyn, Richard L. Tweedie

Publisher
Springer-Verlag
Year
1993
Tongue
English
Leaves
562
Series
Communications and Control Engineering Series
Category
Library
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๐Ÿ“œ SIMILAR VOLUMES

Markov Chains and Stochastic Stability
๐Ÿ“ Markov Chains and Stochastic Stability
โœ Sean P. Meyn PhD, Richard L. Tweedie PhD, DSc (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1993 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><B>Markov Chains and Stochastic Stability</B> is part of the <I>Communications and Control Engineering Series</I> (<I>CCES</I>) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over

Markov chains and stochastic stability
๐Ÿ“ Markov chains and stochastic stability
โœ Sean P. Meyn PhD, Richard L. Tweedie PhD, DSc (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1993 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><B>Markov Chains and Stochastic Stability</B> is part of the <I>Communications and Control Engineering Series</I> (<I>CCES</I>) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over

Markov Chains and Stochastic Stability
๐Ÿ“ Markov Chains and Stochastic Stability
โœ S.P. Meyn ๐Ÿ“‚ Library ๐Ÿ“… 1993 ๐Ÿ› Springer-Verlag New York Inc. ๐ŸŒ English

The area of Markov chain theory and application has matured over the past 20 years. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory.

Markov chains and stochastic stability
๐Ÿ“ Markov chains and stochastic stability
โœ Sean Meyn, Richard L. Tweedie, Peter W. Glynn ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Meyn & Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the field since 1996 - many of them sparked by publication of the first edition. The pursuit of more efficient simulation algorithms for complex Markovian models, or algo