An efficient recursive technique with Padé approximation for a kind of Lane–Emden type equations emerging in various physical phenomena

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-08-30 DOI:10.1016/j.matcom.2024.08.025
Jyoti , Mandeep Singh
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Abstract

The study numerically examined a class of nonlinear singular differential problems known as the Lane–Emden differential equation, which emerges in numerous real-world situations. The primary goal of this work is to formulate a computationally efficient iterative technique for solving the nonlinear Lane–Emden initial value problems. The proposed approach is a hybrid of the homotopy perturbation method and the Padé approximation. The nonlinear singular Lane–Emden initial value problem (SLEIVP) is transformed into an equivalent recursive integral employing the Picard’s approach. To resolve the singularity and nonlinearity, the recursive integral equation is transformed into a system of integral equations by using the homotopy notion. Furthermore, to enhance the convergence rate of the technique, Padé approximation is taken into account. The convergence analysis for the proposed approach is also conducted. The present technique is tested on SLEIVPs and numerical findings are compared with the existing techniques, to demonstrate the accuracy, effectiveness and ease of use.

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针对各种物理现象中出现的一种 Lane-Emden 型方程的帕代近似高效递推技术
该研究对一类非线性奇异微分问题(即 Lane-Emden 微分方程)进行了数值检验,该问题出现在现实世界的许多情形中。这项工作的主要目标是制定一种计算高效的迭代技术,用于解决非线性 Lane-Emden 初值问题。所提出的方法是同调扰动法和帕代近似法的混合体。非线性奇异 Lane-Emden 初值问题(SLEIVP)采用 Picard 方法转化为等效递归积分。为了解决奇异性和非线性问题,利用同调概念将递归积分方程转化为积分方程组。此外,为了提高该技术的收敛速度,还考虑了帕代近似。还对所提出的方法进行了收敛分析。本技术在 SLEIVPs 上进行了测试,并将数值结果与现有技术进行了比较,以证明其准确性、有效性和易用性。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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Editorial Board News of IMACS IMACS Calendar of Events Shifted Chebyshev collocation with CESTAC-CADNA-based instability detection for nonlinear Volterra–Hammerstein integral equations Approximation of generalized time fractional derivatives: Error analysis via scale and weight functions
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