用修正帽函数和拟帽函数研究湖泊系统模型分数分布的两种新的数值方法

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
Jafar Biazar, hamed Ebrahimi
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引用次数: 0

摘要

本文提出了两种数值方法来求解一个由三个分数阶微分方程组成的湖泊污染方程组。在我们最近的研究中,构造了一类新的帽函数,称为准帽函数(qhf)。所提出的方法利用修正帽函数(mhf)和准帽函数(QHFs)。利用mhf和QHFs的分数阶运算来构建算法,分别将主问题转化为六个六未知数方程和三个三未知数方程的系统。本文将研究所得到的近似解的绝对误差和所采用方法的收敛性分析。最后,给出了三个示例来说明这些算法的功能。在不同的$\alpha$值下,用一些表格和图表报告了污染监测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two new numerical approaches for the fractional distribution of the model of a system of lakes via modified hat and quasi-hat functions
In this article, two numerical approaches are presented to solve a system of three fractional differential equations that express the pollution of lakes.In our recent study, a new class of hat functions, called quasi-hat functions (QHFs), are constructed.The proposed approaches utilize modified hat functions (MHFs) and quasi-hat functions (QHFs).Fractional-order operational of MHFs and QHFs are used to build algorithms that transform the main problem into a system of six equations with six unknowns and three equations with three unknowns, respectively.Absolute errors of obtained approximate solutions and convergence analysis of the utilized approach will be studied.Finally, three examples are provided to illustrate the capabilities of these algorithms.The pollution monitoring results are reported in some tables and figures for different values of $\alpha$.
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来源期刊
Scientia Iranica
Scientia Iranica 工程技术-工程:综合
CiteScore
2.90
自引率
7.10%
发文量
59
审稿时长
2 months
期刊介绍: The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.
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