显式龙格-库塔方法减轻序降

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Abhijit Biswas, David I. Ketcheson, Steven Roberts, Benjamin Seibold, David Shirokoff
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引用次数: 0

摘要

SIAM数值分析杂志,第63卷,第4期,1398-1426页,2025年8月。摘要。当将显式龙格-库塔(RK)方法应用于具有时变边界条件的初始边值问题时,容易降低观察到的收敛阶数。研究了保证线性问题高阶收敛的显式RK方法的条件;我们把这些条件称为弱阶段顺序条件。证明了该方法的阶数、弱阶数和阶数之间的一般关系。我们导出了具有高弱阶阶的显式RK方法,并通过数值试验证明了该方法对于线性问题可避免阶降现象,对于非线性问题可避免阶降现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explicit Runge–Kutta Methods that Alleviate Order Reduction
SIAM Journal on Numerical Analysis, Volume 63, Issue 4, Page 1398-1426, August 2025.
Abstract. Explicit Runge–Kutta (RK) methods are susceptible to a reduction in the observed order of convergence when applied to an initial boundary value problem with time-dependent boundary conditions. We study conditions on explicit RK methods that guarantee high order convergence for linear problems; we refer to these conditions as weak stage order conditions. We prove a general relationship between the method’s order, weak stage order, and number of stages. We derive explicit RK methods with high weak stage order and demonstrate, through numerical tests, that they avoid the order reduction phenomenon up to any order for linear problems and up to order three for nonlinear problems.
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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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