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Ching, Wai-Ki/ Ng, Michael K. 作者

Springer-Verlag New York Inc

译者

2005-12 出版日期

224 页数

$ 190.97 价格

HRD

丛书系列

9780387293356 图书编码

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Markov Chains 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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.

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