Highly efficient optimal decomposition approach and its mathematical analysis for solving fourth-order Lane–Emden–Fowler equations

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-03-01 Epub Date: 2024-08-30 DOI:10.1016/j.cam.2024.116238
Randhir Singh , Vandana Guleria , Higinio Ramos , Mehakpreet Singh
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Abstract

In this paper, an optimal decomposition algorithm is introduced to solve a kind of nonlinear fourth-order Emden–Fowler equations (EFEs) that appear in many applied fields. Transforming the Emden–Fowler equation into a Volterra integral equivalent equation allows us to deal with the singularity at the endpoint x=0. This conversion also helps to reduce the computational cost of solving the problem. The existence and uniqueness of the solution of each integral equation obtained are established in the corresponding theorems. The convergence analysis further supports the theoretical findings. The accuracy and efficiency of the new method are tested against the existing method (Wazwaz et al., 2014) using numerous cases, and the results show that the presented scheme is a reliable method for computing approximate series solutions and even exact solutions. In addition, the new technique overcomes the drawback of the existing method, that provides only an approximation within a limited interval.

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求解四阶 Lane-Emden-Fowler 方程的高效优化分解方法及其数学分析
本文介绍了一种最优分解算法,用于求解出现在许多应用领域的非线性四阶埃姆登-福勒方程(EFE)。将埃姆登-福勒方程转换为 Volterra 积分等效方程,可以解决端点 x=0 处的奇异性问题。所得到的每个积分方程的解的存在性和唯一性都在相应的定理中得到了确定。收敛性分析进一步支持了理论结论。新方法的准确性和效率通过大量案例与现有方法(Wazwaz 等人,2014 年)进行了对比测试,结果表明所提出的方案是计算近似序列解甚至精确解的可靠方法。此外,新技术还克服了现有方法的缺点,即只能在有限区间内提供近似值。
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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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