Multiple Relaxation Exponential Runge–Kutta Methods for the Nonlinear Schrödinger Equation

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Numerical Analysis Pub Date : 2024-12-13 DOI:10.1137/23m1606034
Dongfang Li, Xiaoxi Li
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Abstract

SIAM Journal on Numerical Analysis, Volume 62, Issue 6, Page 2719-2744, December 2024.
Abstract. A novel family of high-order structure-preserving methods is proposed for the nonlinear Schrödinger equation. The methods are developed by applying the multiple relaxation idea to the exponential Runge–Kutta methods. It is shown that the multiple relaxation exponential Runge–Kutta methods can achieve high-order accuracy in time and preserve multiple original invariants at the discrete level. They are the first exponential-type methods that preserve multiple invariants. The number of invariants the methods preserve depends only on that of the relaxation parameters. Several numerical experiments are carried out to support the theoretical results and illustrate the effectiveness and efficiency of the proposed methods.
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非线性Schrödinger方程的多重松弛指数龙格-库塔方法
SIAM数值分析杂志,第62卷,第6期,第2719-2744页,2024年12月。摘要。针对非线性Schrödinger方程,提出了一类新的高阶结构保持方法。该方法是将多重松弛思想应用于指数龙格-库塔方法而发展起来的。结果表明,多重松弛指数龙格-库塔方法在时间上具有高阶精度,并在离散水平上保持了多个原始不变量。它们是第一批保留多个不变量的指数型方法。这些方法保留的不变量的数目只取决于松弛参数的数目。数值实验支持了理论结果,并说明了所提方法的有效性和高效性。
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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