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Titlebook: Analytical and Stochastic Modelling Techniques and Applications; 25th International C Marco Gribaudo,Eduard Sopin,Irina Kochetkova Conferen

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發(fā)表于 2025-3-25 06:19:37 | 只看該作者
Analytical and Stochastic Modelling Techniques and Applications25th International C
22#
發(fā)表于 2025-3-25 11:24:24 | 只看該作者
An All Geometric Discrete-Time Multiserver Queueing System,. Furthermore we obtain an approximation of the distribution of the delay a customer experiences in the proposed queueing system. This approximation is validated by simulation and the results are illustrated with a numerical example.
23#
發(fā)表于 2025-3-25 14:56:59 | 只看該作者
Performance Evaluation of Scheduling Policies for the DRCMPSP,sed algorithm which prioritise processing of tasks with the highest processing durations, and a worst decision algorithm to seek a non-idling policy to minimise the average profit per unit time. Average profits per unit time of generated policies of the solution algorithms are evaluated and compared
24#
發(fā)表于 2025-3-25 17:00:17 | 只看該作者
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發(fā)表于 2025-3-25 23:46:37 | 只看該作者
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發(fā)表于 2025-3-26 03:10:09 | 只看該作者
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發(fā)表于 2025-3-26 04:37:18 | 只看該作者
28#
發(fā)表于 2025-3-26 11:47:40 | 只看該作者
Zack Butler,Satoshi Murata,Daniela Rustime. The corresponding dynamic programming equations are derived. We develop algorithms to evaluate different performance measures including the mean busy period, the mean number of customers served in a busy period as well as the maximal queue length in a busy period. Some illustrative numerical examples are discussed.
29#
發(fā)表于 2025-3-26 13:03:24 | 只看該作者
Distributed Autonomous Robotic Systems 8he dynamic screening method and asymptotic analysis such condition of high intensity of arrivals. It is shown that under condition the probability distribution of the number of customers in the system is Gaussian. The parameters of this Gaussian distribution are obtained in the paper.
30#
發(fā)表于 2025-3-26 18:48:06 | 只看該作者
0302-9743 plications, ASMTA 2019, held in Moscow, Russia, in October 2019. Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The 13 full papers presented in this book
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