基于使用 ψ $$ \psi $$ -shifted Chebyshev 多项式的分式积分运算矩阵的数值技术

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shazia Sadiq, Mujeeb ur Rehman
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引用次数: 0

摘要

本文提出了一种基于移位切比雪夫多项式修正形式的数值方案,用于求一类分数微分方程的数值解。为此,我们计算了从移位切比雪夫多项式得到的 ψ $ \psi $ $ -移位切比雪夫多项式的分数积分运算矩阵。最后,通过求解因使用积分运算矩阵而产生的代数方程系,可以得到所考虑问题的解。通过对整数阶微分方程和非整数阶微分方程的分析,说明了分数阶微分方程的解对整数阶微分方程的相应解的收敛性。最后,我们提出了一些线性和非线性示例来验证理论分析。非线性示例使用准线性化和拟议的数值技术求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Technique Based on Operational Matrices of Fractional Integration Using ψ $$ \psi $$ -Shifted Chebyshev Polynomials

In this paper, we present a numerical scheme based on a modified form of shifted Chebyshev polynomials to find the numerical solution of a class of fractional differential equations. For this purpose, we work out operational matrices of fractional integration of ψ $$ \psi $$ -shifted Chebyshev polynomials obtained from shifted Chebyshev polynomials. Finally, the solution to the problem under consideration is obtained by solving a system of algebraic equations that results from the use of operational matrices of integration. The analysis of integer and non-integer order differential equations is presented to show the convergence of the solution of fractional order differential equation to the corresponding solution of the integer order differential equation. At the end, we present some linear and non-linear examples to validate the theoretical analysis. Non-linear examples are solved using Quasilinearization and proposed numerical technique.

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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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