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Titlebook: Applied Probability-Computer Science: The Interface Volume 1; Ralph L. Disney,Teunis J. Ott Book 1982 Birkh?user Boston, Inc. 1982 Markov

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41#
發(fā)表于 2025-3-28 15:33:27 | 只看該作者
42#
發(fā)表于 2025-3-28 19:30:17 | 只看該作者
Anthonie Knoester,Jarig van Sinderenr systems an infinite server service center typically represents the collection of interactive terminals. We establish conditions under which performance measures for such a network converge, as the population sizes of the chains increase, to performance measures for a network in which the infinite
43#
發(fā)表于 2025-3-28 23:05:05 | 只看該作者
44#
發(fā)表于 2025-3-29 03:46:58 | 只看該作者
Olivier Beaumais,Thierry Bréchetn rate matrix associated with this network is examined in some detail, and it is shown how advantage may be taken of this structure to derive the required stationary probability vector in a number of operations which is proportional to N, the number of customers in the network. The direct method whi
45#
發(fā)表于 2025-3-29 10:05:50 | 只看該作者
https://doi.org/10.1007/978-1-349-23989-4 Many software reliability models have been postulated in the literature [11], however few have been applied to field data. A model based upon the assumption that the failure rate of the software is proportional to the number of residual software errors leads to a constant failure rate and an expone
46#
發(fā)表于 2025-3-29 14:15:16 | 只看該作者
47#
發(fā)表于 2025-3-29 17:21:53 | 只看該作者
The Internalization of External Effectste event simulation and using these confidence intervals to control the length of the simulation. It summarizes the results of two earlier papers, [5] and [6], and the reader is referred to those papers for a more detailed discussion.
48#
發(fā)表于 2025-3-29 19:53:00 | 只看該作者
Trade and the Environment: The Legal Contextnal distributions are given. In most cases the sequences are first-order, linear autoregressive, Markovian processes. A very broad two-parameter family of this type, GNEAR(l), with exponential marginals and both positive and negative correlation is defined and its transformation to a similar multipl
49#
發(fā)表于 2025-3-30 01:54:34 | 只看該作者
Probabilistic Analysis of Algorithms examines three important probabilistic algorithms that together illustrate many of the important points of the field, and the second part then generalizes from those examples to provide a more systematic view.
50#
發(fā)表于 2025-3-30 06:19:49 | 只看該作者
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