几种随机厄朗数的生成及其复杂度估计

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI:10.1109/ACIT49673.2020.9208831

Petro Pekh, O. Kuzmych, Nina Zdolbitska, Nataliia Bahniuk, I. Pasternak

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引用次数: 1

摘要

在本文中，我们提出了用Erlang分布的计算机生成随机数方法的数学证明。这种发电机被广泛用于模拟具有随机和概率性质的复杂生产系统。针对稳定性参数为整数的情况，提出了一种改进Erlang数生成器的方法。在Johnk算法的基础上，构建了稳定性参数为分数的Erlang数生成器，并对其复杂度进行了估计。在稳定性参数为混合数的情况下，提出了生成Erlang数的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Generators of Some Kinds Random Erlang Numbers and Estimation of Their Complexity

In this article we propose mathematically justification the methods of computer-generated random numbers with Erlang distribution. Such generators are widely used to simulate complex production systems with a stochastic and probabilistic nature of operation. A method for improving the Erlang number generator is proposed when the stability parameter is an integer. Based on the Johnk algorithm, the Erlang number generator is built in the case where the stability parameter is a fraction number, and its complexity is estimated. The method of generating Erlang numbers is proposed if stability parameter is a mixed number.

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2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

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