Convergence analysis of an efficient multistep pseudo-spectral continuous Galerkin approach for solving Volterra integro-differential equations

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-01-13 DOI:10.1016/j.amc.2025.129284
Yin Yang , Pai Yao , Emran Tohidi
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Abstract

In this research article, we apply the multistep pseudo-spectral continuous Galerkin approach for solving the first-order Volterra integro-differential equations by the aid of the orthogonal Legendre polynomials. This approach is a recursive scheme that the accuracy of the numerical solution at the present subinterval depends on the numerical solutions at the previous subintervals. Convergence analysis of the suggested numerical approach is discussed via using an important auxiliary problem. Extensive numerical test problems with high oscillating analytical solutions, exact solutions with steep gradients, and long time computational intervals are considered and both of the h-version and p-version convergence rates are examined experimentally. Finally, the conclusions regarding the presented approach and the considered model are provided and we point out to some other models that can be solved numerically via this efficient and robust method.
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求解Volterra积分微分方程的有效多步伪谱连续Galerkin方法的收敛性分析
本文应用多步伪谱连续伽辽金方法,借助正交勒让德多项式求解一阶Volterra积分微分方程。该方法是当前子区间数值解的精度取决于前一子区间数值解的递归格式。利用一个重要的辅助问题,讨论了该数值方法的收敛性分析。考虑了具有高振荡解析解、陡梯度精确解和长计算间隔的大量数值测试问题,并对h版和p版收敛率进行了实验检验。最后,给出了关于本文方法和所考虑的模型的结论,并指出了一些可以通过这种有效和鲁棒的方法进行数值求解的其他模型。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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