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• W2113019827 abstract "Motivated by a wide range of applications arising from stochastic networks (such as communication networks and/or manufacturing systems), this work focuses on a class of large-scale Markov chains in discrete time. In accordance with the rates of change of different states, we formulate the problem as a singularly perturbed Markov chain by introducing a small parameter /spl epsiv/>0. Under simple conditions, we show that aggregated process converges weakly to a Markov chain. In addition, we examine scaled and unscaled occupation measures and obtain their asymptotic properties." @default.
• W2113019827 created "2016-06-24" @default.
• W2113019827 creator A5043034713 @default.
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• W2113019827 date "2003-07-10" @default.
• W2113019827 modified "2023-10-16" @default.
• W2113019827 title "Decomposition and aggregation of large-dimensional Markov chains in discrete time" @default.
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• W2113019827 doi "https://doi.org/10.1109/cdc.2001.981144" @default.
• W2113019827 hasPublicationYear "2003" @default.
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