刚性Riccati微分方程的低秩指数积分器

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Hao Chen, Alfio Borzì
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引用次数: 0

摘要

对于刚性微分方程组的时间积分,指数积分法是一种有效的替代隐式格式的方法。本文提出并研究了刚性Riccati微分方程的一阶和二阶低秩指数积分器。建立了各方案的误差估计。所提出的方法可以克服数值格式中时间积分和低秩近似相互作用的主要困难,这在微分方程的标准离散化中是不常见的。数值实验结果验证了收敛分析的有效性,并显示了不同设置下所提出的低秩近似的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-rank exponential integrators for stiff differential Riccati equations

Exponential integrators are an efficient alternative to implicit schemes for the time integration of stiff system of differential equations. In this paper, low-rank exponential integrators of orders one and two for stiff differential Riccati equations are proposed and investigated. The error estimates of the proposed schemes are established. The proposed approach allows to overcome the main difficulties that lay in the interplay of time integration and low-rank approximation in the numerical schemes, which is uncommon in standard discretization of differential equations. Results of numerical experiments demonstrate the validity of the convergence analysis and show the performance of the proposed low-rank approximations with different settings.

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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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