概率退化伯努利多项式和退化欧拉多项式

IF 1.8 4区 数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2024-05-27 DOI:10.1080/13873954.2024.2348151
Lingling Luo, Taekyun Kim, Dae San Kim, Yuankui Ma
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引用次数: 0

摘要

最近,许多学者研究了退化伯努利多项式和退化欧拉多项式。假设 Y 是一个随机变量,其矩生成函数存在于原点邻域。该矩形的...
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Probabilistic degenerate Bernoulli and degenerate Euler polynomials
Recently, many authors have studied degenerate Bernoulli and degenerate Euler polynomials. Let Y be a random variable whose moment generating function exists in a neighbourhood of the origin. The a...
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来源期刊
CiteScore
3.80
自引率
5.30%
发文量
7
审稿时长
>12 weeks
期刊介绍: Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.
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