Approximation of one and two dimensional nonlinear generalized Benjamin-Bona-Mahony Burgers' equation with local fractional derivative

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-08-20 DOI:10.1016/j.camwa.2024.07.032
Abdul Ghafoor , Manzoor Hussain , Danyal Ahmad , Shams Ul Arifeen
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Abstract

This study presents, a numerical method for the solutions of the generalized nonlinear Benjamin-Bona-Mahony-Burgers' equation, with variable order local time fractional derivative. This derivative is expressed as a product of two functions, the usual integer order time derivative, and a function of time having a fractional exponent. Then, forward difference approximation is used for time derivative. The unknown solution of the differential problem and corresponding derivatives are estimated using Haar wavelet approximations (HWA). The collocation procedure is then implemented in HWA, to transform the given model to the system of linear algebraic equations for the determination of unknown constant coefficient of the Haar wavelet series, which update the derivatives and the numerical solutions. The sufficient condition is established for the stability of the proposed technique, and then verified computationally. To check the performance of the scheme, few illustrative examples in one and two dimensions along with l and l2 error norms are also given. Besides this, the computational convergence rate is calculated for both type equations. Additionally, computed solutions are compared with available results in literature. Simulations and graphical data discloses, that suggested scheme works well for such complex problems.

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具有局部分数导数的一维和二维非线性广义本杰明-博纳-马霍尼布尔格斯方程的近似值
本研究提出了一种数值方法,用于求解具有变阶局部时间分数导数的广义非线性本杰明-博纳-马霍尼-伯格斯方程。该导数表示为两个函数的乘积,即通常的整阶时间导数和具有分数指数的时间函数。然后,对时间导数采用正向差分近似法。微分问题的未知解和相应导数使用哈小波近似(HWA)进行估计。然后在 HWA 中实施配位程序,将给定模型转换为线性代数方程组,以确定哈小波序列的未知常数系数,从而更新导数和数值解。我们为所提出技术的稳定性建立了充分条件,然后进行了计算验证。为了检验该方案的性能,还给出了一些一维和二维的示例以及 l∞ 和 l2 误差规范。此外,还计算了两种方程的计算收敛率。此外,还将计算出的解与文献中的现有结果进行了比较。仿真和图形数据显示,建议的方案对此类复杂问题效果良好。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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