Comparative numerical study of caputo time-fractional reaction–diffusion equations with applications in physical phenomena

Q2 Mathematics
Ahmed Hassan
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引用次数: 0

Abstract

This paper presents numerical solutions for linear and nonlinear fractional partial differential equations (Cauchy reaction diffusion) applying an approximation method called the Least Square Residual Power Series Method (LSRPSM). In addition to presenting the fractional Wronskian definition, the Caputo sense has been used to evaluate the fractional order derivative operator. The Least Squares Method (LSM) and the Residual Power Series Method (RPSM) are combined in this flexible technique. Consequently, we produced a rapidly convergent series with clearly defined elements for the time fractional Cauchy Reaction Diffusion Equations (CRDEs). Compared to exact solutions, RPSM and Elzaki residual power series method (ERPSM). The LSRPSM provides sufficient accuracy when applied to approximation solutions. The numerical solutions to fractional partial differential equations and their graphical representations will be covered in our final section. We are charting the outcomes of each of the partial fraction differential equations to show that MATLAB produces superior results.

Abstract Image

卡普托时间分数反应扩散方程的数值比较研究及其在物理现象中的应用
本文应用最小二乘残差幂级数法(LSRPSM)给出了线性和非线性分数阶偏微分方程(柯西反应扩散)的数值解。除了给出分数阶朗斯基定义外,还使用卡普托意义来计算分数阶导数算子。将最小二乘法(LSM)和残差幂级数法(RPSM)结合在一起。因此,我们为时间分数阶柯西反应扩散方程(CRDEs)提供了一个具有明确定义元素的快速收敛级数。相对于精确解,RPSM和Elzaki残差幂级数法(ERPSM)。当应用于近似解时,LSRPSM提供了足够的精度。分数阶偏微分方程的数值解及其图形表示将在最后一节讨论。我们将每个部分分式微分方程的结果绘制成图表,以表明MATLAB产生了更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annali dell''Universita di Ferrara
Annali dell''Universita di Ferrara Mathematics-Mathematics (all)
CiteScore
1.70
自引率
0.00%
发文量
71
期刊介绍: Annali dell''Università di Ferrara is a general mathematical journal publishing high quality papers in all aspects of pure and applied mathematics. After a quick preliminary examination, potentially acceptable contributions will be judged by appropriate international referees. Original research papers are preferred, but well-written surveys on important subjects are also welcome.
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