指数拟合搭配算法在求解n阶Fredholm积分微分方程中的应用

Q3 Multidisciplinary Songklanakarin Journal of Science and Technology Pub Date : 2023-06-29 DOI:10.30880/jst.2023.15.01.004

F. Iyanda, Taiwo. O. Adebayo

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引用次数: 0

摘要

本文试图建立并应用指数拟合搭配算法(EFCA)求解n阶Fredholm型积分微分方程。为此，制定了EFCA，并应用于解决文献中的四个例子。进行了数值实验，并与精确解和现有方法进行了比较。结果表明，该算法快速、高效、可靠。

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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Application of Exponentially Fitted Collocation Algorithm for Solving nth-Order Fredholm Integrodifferential Equations

In this paper, we seek to build and applyan exponentially fitted collocation algorithm (EFCA) for the solutions of nth-order Fredholm type integrodifferential equations. For this purpose, an EFCA was formulated and applied to solvefour examples from the literature. Numerical experiment was performed and the results were compared with the exact solutions, and some existing methods. From the four examples considered, the results obtained showed that the proposed algorithmis fast, efficient, and reliable.

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来源期刊

Songklanakarin Journal of Science and Technology Multidisciplinary-Multidisciplinary

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

25 weeks

期刊介绍： Songklanakarin Journal of Science and Technology (SJST) aims to provide an interdisciplinary platform for the dissemination of current knowledge and advances in science and technology. Areas covered include Agricultural and Biological Sciences, Biotechnology and Agro-Industry, Chemistry and Pharmaceutical Sciences, Engineering and Industrial Research, Environmental and Natural Resources, and Physical Sciences and Mathematics. Songklanakarin Journal of Science and Technology publishes original research work, either as full length articles or as short communications, technical articles, and review articles.