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A CLASS OF MULTIRATE INFINITESIMAL GARK METHODS

机译:一类多国无限的Gark方法

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摘要

Differential equations arising in many practical applications are characterized by multiple time scales. Multirate time integration seeks to solve them efficiently by discretizing each scale with a different, appropriate time step, while ensuring the overall accuracy and stability of the numerical solution. In a seminal paper, Knoth and Wolke [Appl. Numer. Math., 28 (1998), pp. 327-341] proposed a hybrid solution approach: discretize the slow component with an explicit Runge-Kutta method, and advance the fast component via a modified fast differential equation. The idea led to the development of multirate infinitesimal step (MIS) methods by Wensch, Knoth, and Galant [BIT, 49 (2009), pp. 449-473]. Gunther and Sandu [Numer. Math., 133 (2016), pp. 497-524] explained MIS schemes as a particular case of multirate General-structure Additive Runge-Kutta (MR-GARK) methods. The hybrid approach offers extreme flexibility in the choice of the numerical solution process for the fast component. This work constructs a family of multirate infinitesimal GARK schemes (MRI-GARK) that extends the hybrid dynamics approach in multiple ways. Order conditions theory and stability analyses are developed, and practical explicit and implicit methods of up to order four are constructed. Numerical results confirm the theoretical findings. We expect the new MRI-GARK family to be most useful for systems of equations with widely disparate time scales, where the fast process is dispersive, and where the influence of the fast component on the slow dynamics is weak.
机译:许多实际应用中产生的微分方程的特征在于多次尺度。多速率时间集成旨在通过将每个刻度与不同的适当的时间步长,同时确保数值解决方案的整体精度和稳定性来高效地解决它们。在一个精细的纸张,knoth和wolke [苹果。数。数学。,28(1998),PP。327-341]提出了一种混合解决方案方法:用显式跳动-Kutta方法离散慢组件,并通过修改的快微分方程前进快速分量。这些想法导致了Wensch,knoth和Galant [Bit,49(2009),PP。 gunther和sandu [数字。数学。,133(2016),PP。497-524]解释了MIS方案作为多型通用结构添加剂跑步-Kutta(MR-Gark)方法的特定情况。混合方法在选择快速分量的数字解决方案过程中提供极高的灵活性。这项工作构建了一个多型无穷无胆的Gark计划(MRI-GARK),以多种方式扩展混合动力学方法。开发了订单条件理论和稳定性分析,构建了达到四分之一的实际明确和隐式方法。数值结果证实了理论发现。我们预计新的MRI-Gark系列对于具有广泛不同的时间尺度的方程式最有用,快速过程是分散的,并且在慢速动态上的快速分量的影响是弱的。

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