A new analytical approximate solution of fractional coupled Korteweg-de Vries system

Q3 Decision Sciences
H. Ali, A. Noreldeen, Ali Ali
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引用次数: 0

Abstract

The main objective of this work is to present a modification of the Mittag- Leffler function to deduce a relatively new analytical approximate method (for short MMLFM) able to solve time-fractional nonlinear partial differential equations (PDEs). Moreover, we employ the MMLFM to solve the time-fractional coupled Korteweg-de Vries (KdV) model described by two nonlinear fractional partial differential equations (FPDEs) based upon Caputo fractional derivative (CFD). The simulation of projected results is presented in some figures and tables. Furthermore, we compare our solutions when ? = 1 with known exact solutions which indicate a good agreement, in addition, we compare our outcomes with the results obtained by other methods in the literature such as the Natural decomposing method (NDM) and homotopy decomposition method (HDM) in order to prove the reliability and efficiency of our used method. Also, we display solutions with different values of ? to present the effect of the fractional order on the proposed problem. The results of this article reveal the advantages of the MMLFM, which is simple, reliable, accurate, needs simple mathematical computations, is rapidly convergent to the exact solution, have a straightforward and easy algorithm compared to other analytical methods to study linear and nonlinear FPDEs, which makes this technique suited for real industrial or medical applications.
分数阶耦合Korteweg-de Vries系统的一个新的解析近似解
这项工作的主要目的是提出对Mittag- Leffler函数的修改,以推导出一种相对较新的解析近似方法(简称MMLFM),能够求解时间分数阶非线性偏微分方程(PDEs)。此外,基于Caputo分数阶导数(CFD),利用MMLFM求解了由两个非线性分数阶偏微分方程(FPDEs)描述的时间-分数阶耦合Korteweg-de Vries (KdV)模型。用一些图表和表格对预测结果进行了模拟。此外,我们在什么时候比较我们的解决方案?= 1与已知的精确解一致,并与文献中其他方法如自然分解法(NDM)和同伦分解法(HDM)的结果进行了比较,以证明本文方法的可靠性和有效性。同时,我们显示不同值的解。给出分数阶对所提问题的影响。本文的研究结果揭示了MMLFM的优点,它简单、可靠、准确,数学计算简单,收敛速度快,与其他分析方法相比,算法简单、简单,适合于研究线性和非线性FPDEs,适合于实际工业或医疗应用。
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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来源期刊
Yugoslav Journal of Operations Research
Yugoslav Journal of Operations Research Decision Sciences-Management Science and Operations Research
CiteScore
2.50
自引率
0.00%
发文量
14
审稿时长
24 weeks
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