arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1407.1002math.NAcs.NA
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基于积分延迟修正框架的高阶算子分裂方法

High order operator splitting methods based on an integral deferred correction framework

Michigan State University(密歇根州立大学);Michigan Technological University(密歇根理工大学)

Andrew J. Christlieb, Yuan Liu, Zhengfu Xu

AI总结:

本文提出基于积分延迟修正框架的高阶算子分裂方法,用于求解初始值问题,通过修正分裂和数值误差提升精度,并应用于偏微分方程的求解。

摘要:

积分延迟修正(IDC)方法已被证明是实现任意高阶精度的有效方式,并具有良好的稳定性特性。本文利用IDC过程构建高阶算子分裂方案,用于求解初始值问题(IVPs)。我们分析表明,IDC方法能够同时修正分裂误差和数值误差,通过每次修正提升精度阶数$ r $,其中$ r $是用于求解修正方程的方法的精度阶数。我们进一步将此框架应用于求解偏微分方程(PDEs)。通过二维线性和非线性初边值问题的数值例子,展示了所提出的IDC方法的性能。

英文摘要:

Integral deferred correction (IDC) methods have been shown to be an efficient way to achieve arbitrary high order accuracy and possess good stability properties. In this paper, we construct high order operator splitting schemes using the IDC procedure to solve initial value problems (IVPs). We present analysis to show that the IDC methods can correct for both the splitting and numerical errors, lifting the order of accuracy by $r$ with each correction, where $r$ is the order of accuracy of the method used to solve the correction equation. We further apply this framework to solve partial differential equations (PDEs). Numerical examples in two dimensions of linear and nonlinear initial-boundary value problems are presented to demonstrate the performance of the proposed IDC approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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