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Titlebook: Constructive Computation in Stochastic Models with Applications; The RG-Factorization Quan-Lin Li Book 2010 The Editor(s) (if applicable) a

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11#
發(fā)表于 2025-3-23 11:21:33 | 只看該作者
Sensitivity Analysis and Evolutionary Games,tinuous-time. By using the UL- and LU-types of .-factorizations, we can express the .th derivatives of the performance measures, including the stationary, transient and discounted cases. Furthermore, we apply the sensitivity analysis to study symmetric evolutionary games by perturbed birth death pro
12#
發(fā)表于 2025-3-23 14:59:33 | 只看該作者
13#
發(fā)表于 2025-3-23 20:39:12 | 只看該作者
Quasi-Stationary Distributions,erive two sets of expressions for the quasi-stationary distribution. As important examples, we analyze Markov chains of ./1 type, Markov chains of ./1 type, Markov chains of ./1 type and level-dependent QBD processes.
14#
發(fā)表于 2025-3-23 23:59:36 | 只看該作者
15#
發(fā)表于 2025-3-24 06:19:26 | 只看該作者
16#
發(fā)表于 2025-3-24 09:37:57 | 只看該作者
Extended Irreversible Thermodynamics,pes of .-factorizations are given. The stationary probability vector is given an .-measure expression; while the transient probability can be computed by means of the .- and .-measures. Finally, the .- and .-measures are proposed in order to discuss the state classification of the block-structured Markov chain.
17#
發(fā)表于 2025-3-24 11:15:22 | 只看該作者
Instabilities and Pattern Formation,thermore, we simplify the A- and B-measures for Markov chains of ./1 type, and also express the .- and .-measures by means of the .- and .-measures, respectively. Based on the .- and .-measures, we provide spectral analysis for the .- and .-measures, and provide conditions for the state classification of Markov chains of .1 type.
18#
發(fā)表于 2025-3-24 15:29:19 | 只看該作者
,Der Markt für Unternehmensbewertungen,ombine the supplementary variable method and the .-factorizations such that the boundary conditions are simplified as a blockstructured Markov chain or a block-structured Markov renewal process. We provide performance analysis of the practical stochastic models.
19#
發(fā)表于 2025-3-24 19:10:11 | 只看該作者
Book 2010, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable...Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China..
20#
發(fā)表于 2025-3-25 02:24:02 | 只看該作者
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