求解非线性薛定谔方程的多步还原微分变换法

Abdul Rahman Farhan Sabdin, Che Haziqah Che Hussin, Jumat Sulaiman, Arif Mandangan
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引用次数: 0

摘要

本文利用多步还原微分变换法(MsRDTM)获得了非线性薛定谔方程(NLSE)的半解析解。与传统的还原微分变换法(RDTM)相比,该方法将所应用的方法视为一连串长度相同的小细分区间的算法。这种方法无需扰动、线性化或离散化,具有多步骤算法的优点和可靠性。结果表明,与 RDTM 相比,MsRDTM 生成的 NLSE 解具有很高的精确度。此外,研究结果表明,所建议的方法简单易用,在求解 NLSE 时可节省大量计算工作,并有望广泛应用于工程和科学领域的其他复杂偏微分方程 (PDE)。该方法的准确性通过所提供的表格和图表说明得以体现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multistep Reduced Differential Transform Method in Solving Nonlinear Schrodinger Equations
This paper obtains semi-analytical solutions for the nonlinear Schrodinger equations (NLSEs) using the multistep reduced differential transform method (MsRDTM). The implemented method yields an analytical approximate solution over a longer time frame, in which the method applied is treated as an algorithm in a sequence of small sub-division of intervals of identical length compared to the traditional reduced differential transform method (RDTM). Excluding the need of perturbation, linearization, or discretization, this method offers the benefit and reliability of the multistep algorithm. The outcomes show that the MsRDTM generated highly accurate solutions of NLSEs than the RDTM. In addition, the results show that the suggested method is straightforward to use, saves a significant amount of computing work when solving NLSEs, and has potential for broad application in other complex partial differential equations (PDEs) in the fields of engineering and science. The accuracy of the method is shown through the tables and graphical illustrations provided.
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