基于分数阶拉格朗日多项式运算矩阵的高效配位技术,用于求解时空分数阶偏微分方程

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Applied Numerical Mathematics Pub Date : 2024-06-19 DOI:10.1016/j.apnum.2024.06.014
Saurabh Kumar , Vikas Gupta , Dia Zeidan
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引用次数: 0

摘要

在这项研究中,我们提出了一种新型快速计算技术,用于求解一类时空分数阶线性和非线性偏微分方程。我们考虑了卡普托类型的分数导数。提出的方法基于分数阶拉格朗日多项式的运算矩阵和伪运算矩阵。要实施该方法,首先要找到积分的整数阶和分数阶运算矩阵和伪运算矩阵。然后,利用配位技术和获得的运算矩阵和伪运算矩阵,通过还原给定的时空分数微分问题生成代数方程系统。由此产生的代数方程系可以用牛顿迭代法轻松求解。此外,还提供了分数阶积分运算矩阵的上界,证实了分数阶拉格朗日多项式近似的收敛性。最后,还进行了一些数值实验,以证明所建议的数值方案的适用性和实用性。
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An efficient collocation technique based on operational matrix of fractional-order Lagrange polynomials for solving the space-time fractional-order partial differential equations

In this research, we propose a novel and fast computational technique for solving a class of space-time fractional-order linear and non-linear partial differential equations. Caputo-type fractional derivatives are considered. The proposed method is based on the operational and pseudo-operational matrices for the fractional-order Lagrange polynomials. To carry out the method, first, we find the integer and fractional-order operational and pseudo-operational matrix of integration. The collocation technique and obtained operational and pseudo-operational matrices are then used to generate a system of algebraic equations by reducing the given space-time fractional differential problem. The resultant algebraic system is then easily solved by Newton's iterative methods. The upper bound of the fractional-order operational matrix of integration is also provided, which confirms the convergence of fractional-order Lagrange polynomial's approximation. Finally, some numerical experiments are conducted to demonstrate the applicability and usefulness of the suggested numerical scheme.

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来源期刊
Applied Numerical Mathematics
Applied Numerical Mathematics 数学-应用数学
CiteScore
5.60
自引率
7.10%
发文量
225
审稿时长
7.2 months
期刊介绍: The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are: (i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments. (ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers. (iii) Short notes, which present specific new results and techniques in a brief communication.
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