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arXiv 1806.08693math.NAcs.NA
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嵌入误差估计与最优显式强稳定性保持Runge-Kutta方法的自适应步长控制

Embedded error estimation and adaptive step-size control for optimal explicit strong stability preserving Runge--Kutta methods

Sandia National Laboratories(桑迪亚国家实验室);Eötvös Loránd University(罗兰大学);University of New Mexico(新墨西哥大学)

Sidafa Conde, Imre Fekete, John N. Shadid

AI总结:

本文提出了一种嵌入对,用于最优强稳定性保持显式Runge-Kutta方法,用于求解空间离散的双曲PDEs的数值解,通过误差估计实现自适应步长控制,保持非线性稳定性。

摘要:

我们构建了一组嵌入对,用于最优强稳定性保持显式Runge-Kutta方法,用于求解空间离散的双曲PDEs的数值解。在该构造中,目标包括非缺陷方法、绝对稳定性区域大,以及最优误差测量,如[5,19]中定义的。新的嵌入对使强稳定性保持(SSP)方法能够通过改变步长基于局部误差估计来适应,同时保持其固有的非线性稳定性特性。通过几个数值实验,我们评估了精度与工作量之间的整体有效性,同时考虑了准确性和稳定性。

英文摘要:

We construct a family of embedded pairs for optimal strong stability preserving explicit Runge-Kutta methods of order $2 \leq p \leq 4$ to be used to obtain numerical solution of spatially discretized hyperbolic PDEs. In this construction, the goals include non-defective methods, large region of absolute stability, and optimal error measurement as defined in [5,19]. The new family of embedded pairs offer the ability for strong stability preserving (SSP) methods to adapt by varying the step-size based on the local error estimation while maintaining their inherent nonlinear stability properties. Through several numerical experiments, we assess the overall effectiveness in terms of precision versus work while also taking into consideration accuracy and stability.

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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