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<図書>
Markov Chains : models, algorithms and applications

責任表示 Wai-Ki Ching, Michael K. Ng
シリーズ International series in operations research & management science ; 83
データ種別 図書
出版情報 Berlin : Springer , c2006
本文言語 英語
大きさ xiv, 205 p : ill. ; 25 cm
概要 Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting...from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems. 続きを見る
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所蔵情報



中央図 自動書庫 417.1/C 46/20070530 2006
017212007005302


理系図3F 数理独自 CHIN/35/2 2006
023212005007392

書誌詳細

著者標目 *Ching, Wai-Ki
Ng, Michael K
件 名 LCSH:Markov processes
LCSH:Algorithms
分 類 SG:510
LCC:QA274.7.C47
DC22:519.2/33
書誌ID 1001238734
ISBN 9780387293356
NCID BA75712776
巻冊次 ISBN:9780387293356 ; XISBN:0387293353
NBN 06,N02,086
登録日 2009.09.18
更新日 2017.02.18

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