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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
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简体网页||繁体网页
Sean Meyn 作者
Cambridge University Press
译者
2009-04-27 出版日期
622 页数
USD 54.00 价格
Paperback
Cambridge Mathematical Library 丛书系列
9780521731829 图书编码

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 图书标签: 数学  机器学习  2020   

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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 著者简介

Sean Meyn is a professor in the Department of Electrical and Computer Engineering and director of the Division and Control Laboratory of the Coordinated Science Laboratory at the University of Illinois. He has served on the editorial boards of several journals in areas of systems and control and applied probability.

Richard L. Tweedie was Professor and Head of the Division of Biostatistics at the University of Minnesota before his death in 2001.

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 图书目录

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在线电子书 图书描述

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 algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov chains. As a result, new applications have emerged across a wide range of topics including optimisation, statistics, and economics. New commentary and an epilogue by Sean Meyn summarise recent developments and references have been fully updated. This second edition reflects the same discipline and style that marked out the original and helped it to become a classic: proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background.

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