A Comparative Study of effective techniques for solving a new model of (1+n) dimensional fractional Burgers’ equation

M. Bahgat, H. Ahmed, Mofida Zaki
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Abstract

Laplace Adomian decomposition method, Caputo The present work offers a new model of (n+1)-dimensional fractional Burgers’ equation ((n+1)D-FBE) and presents a comparative numerical study of three efficient semi analytical techniques for solving the ((n+1)D-FBEs). These techniques include the Laplace Adomian decomposition method (LADM), the Laplace variational iteration method (LVIM) and the reduced differential transform method (RDTM). The suggested approaches consider the use of the suitable initial conditions and find the solutions without any discretization or limiting traditions. Furthermore, their solutions are in the form of quickly convergent series with easily calculable terms. Numerical studies of four numerical applications are provided to certify the effectiveness and reliability of the suggested approaches, also to compare their computational effectiveness with each other and with other supplementary methods in the available literature. In addition to explore the properties of the solutions when changing the fractional derivative parameter. Numerical results demonstrate the effectiveness and accuracy of the suggested methods.
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求解(1+n)维分数阶Burgers方程新模型有效方法的比较研究
本文提出了一种新的(n+1)维分数阶Burgers方程((n+1)D-FBE)模型,并对求解((n+1)D-FBE的三种有效半解析方法进行了数值比较研究。这些技术包括拉普拉斯Adomian分解法(LADM)、拉普拉斯变分迭代法(LVIM)和降阶微分变换法(RDTM)。建议的方法考虑使用合适的初始条件,并在没有任何离散化或限制传统的情况下找到解。此外,它们的解是快速收敛的级数形式,具有易于计算的项。通过四个数值应用的数值研究,证明了所建议方法的有效性和可靠性,并比较了它们之间的计算效率以及与现有文献中其他补充方法的计算效率。此外还探讨了改变分数阶导数参数时解的性质。数值结果验证了所提方法的有效性和准确性。
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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