Solutions of Volterra–Fredholm type fractional integro-differential equations in terms of shifted Gegenbauer wavelets compared with the solutions by Genocchi polynomial method

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Serenay Abalı, Ali Konuralp
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引用次数: 0

Abstract

This research introduces a novel numerical technique based on shifted Gegenbauer wavelets for solving Fredholm–Volterra fractional integro-differential equations (FVFIDEs), a class characterized by the presence of both Fredholm and Volterra integral parts. By assuming properties of the fractional derivative and applying the wavelet solution directly to the equation, the problem is transferred to finding the family of solutions of the system of algebraic equations, whose solutions are the coefficients of the series of wavelet solutions. The accuracy and efficiency of the Gegenbauer wavelet approach are primarily evaluated through a direct comparison against solutions generated using the Genocchi polynomials method for established test problems. The study demonstrates that the shifted Gegenbauer wavelet method provides precise and effective solutions, which were analyzed under varying resolution parameters and degrees of Gegenbauer polynomials.
移位Gegenbauer小波的Volterra-Fredholm型分数阶积分微分方程解与genochi多项式解的比较
本文介绍了一种基于移位Gegenbauer小波的求解Fredholm - Volterra分数阶积分微分方程(FVFIDEs)的新方法,该类方程具有Fredholm - Volterra积分部分和Fredholm - Volterra积分部分的双重特征。通过假设分数阶导数的性质,并将小波解直接应用于方程,将问题转化为求代数方程组的族解,其解是小波解级数的系数。Gegenbauer小波方法的准确性和效率主要通过与使用genochi多项式方法对已建立的测试问题产生的解进行直接比较来评估。研究表明,移位Gegenbauer小波方法提供了精确有效的解,并对不同分辨率参数和不同程度的Gegenbauer多项式进行了分析。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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