Probabilistic degenerate Bernoulli and degenerate Euler polynomials

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

引用次数: 0

Abstract

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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概率退化伯努利多项式和退化欧拉多项式

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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来源期刊

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

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.