用拉普拉斯Adomian分解方法求解非线性高阶分数阶Volterra-Fredholm积分微分方程的新方法

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Maha M. Hamood, Abdulrahman A. Sharif, Kirtiwant P. Ghadle
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引用次数: 0

摘要

本研究将拉普拉斯变换方法与Adomian分解方法相结合,对Volterra-Fredholm-Hammerstein型非线性积分-分数阶微分方程进行半解析处理。将高阶分数阶导数表示为卡普托意义,并使用一阶简单简并和差分核。通过这种方法,应用了拉普拉斯逆变换,方程的解被视为无穷级数的分量的和,这些分量通常收敛于解。当不可能得到封闭形式的解时,数值应用经常使用缩短的项数。最后,给出了求解结果和讨论结果的示意图,并附有实例说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach to Solve Nonlinear Higher Order Fractional Volterra–Fredholm Integro-Differential Equations Using Laplace Adomian Decomposition Method

This research will integrate the Laplace transform method with the Adomian Decomposition Method to semi-analytically treat nonlinear integro-fractional differential equations of the Volterra–Fredholm–Hammerstein type. The higher-order fractional derivative will be expressed in the Caputo sense, and the first-order simple degenerate and the difference kernel will be used. With this approach, the inverse Laplace transform is applied, and the solution of the equation is viewed as the sum of an endless series of components that usually converge to the solution. Numerical applications frequently employ a shortened number of terms when a closed-form solution is not possible. Lastly, a diagram displaying the arrived at and discussed solutions was shown along with illustrative examples.

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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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