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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library)
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Sean Meyn 作者
Cambridge University Press
譯者
2009-04-27 出版日期
622 頁數
USD 54.00 價格
Paperback
Cambridge Mathematical Library 叢書系列
9780521731829 圖書編碼

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 圖書標籤: 數學  機器學習  2020   

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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 用戶評價

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Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 著者簡介

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) 在線電子書 著者簡介

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Markov Chains and Stochastic Stability (Cambridge Mathematical Library) 在線電子書 圖書描述

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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