L(\(\theta \))-stable peer methods with reused stages for advection–diffusion-reaction problems

IF 2.6 3区 数学 Q2 MATHEMATICS, APPLIED
Giovanni Pagano, Luis Rández
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引用次数: 0

Abstract

This paper addresses the efficient numerical solution of large and stiff initial value problems (IVPs) arising from the space discretization of systems of nonlinear advection–diffusion-reaction partial differential equations (PDEs). To this end, we introduce a new family of linearly implicit two-step peer methods that leverage specialized preconditioners and exploit the reuse of previously computed stages. The proposed methods are constructed to ensure strong stability properties, specifically, L-stability or L(\(\theta \))-stability with \(\theta \) approaching 90\(^{\circ }\), while maintaining low error constants. Compared to recently developed linearly implicit peer schemes, the new methods significantly reduce both the number of required function evaluations and linear systems to solve at each time step, also resulting in notably diminished error constants. Numerical experiments on nonlinear advection–diffusion-reaction problems testify to the efficiency of the new methods and confirm their accuracy and stability properties.

L(\(\theta \))-稳定的对等方法与重复使用的阶段平流扩散反应问题
本文研究了非线性平流-扩散-反应偏微分方程(PDEs)空间离散化引起的大刚度初值问题的有效数值解。为此,我们引入了一组新的线性隐式两步对等方法,这些方法利用专门的前置条件并利用先前计算阶段的重用。所提出的方法是为了保证强的稳定性,特别是L-稳定性或L(\(\theta \))-稳定性,其中\(\theta \)接近90 \(^{\circ }\),同时保持低误差常数。与最近开发的线性隐式对等方案相比,新方法显着减少了每个时间步所需的函数评估和线性系统的数量,也导致误差常数显着降低。对非线性平流-扩散-反应问题的数值实验证明了新方法的有效性,并证实了其准确性和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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