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arXiv 1504.07599math.NAcs.NA
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显式强稳定性保持多阶段二导数时间步进方案

Explicit Strong Stability Preserving Multistage Two-Derivative Time-Stepping Schemes

Michigan State University(密歇根州立大学);University of Massachusetts, Dartmouth(马萨诸塞大学达特茅斯分校);U.S. Naval Academy(美国海军学院)

Andrew J. Christieb, Sigal Gottlieb, Zachary J. Grant, David C. Seal

AI总结:

本文提出显式多阶段二导数SSP时间步进方案,突破传统Runge-Kutta方法的四阶限制,设计出五阶方法并验证其收敛性与稳定性。

摘要:

高阶强稳定性保持(SSP)时间离散化在非线性稳定性空间离散化求解超偏微分方程时具有优势。本文推导了二导数多阶段方法的SSP充分条件,设计出最优SSP多阶段二导数方法。传统显式SSP Runge--Kutta方法仅限于四阶,本文通过设计三阶段五阶方法突破此限制。这些方法在简单标量PDE上验证了收敛阶并展示了SSP条件和时间步的尖锐性。

英文摘要:

High order strong stability preserving (SSP) time discretizations are advantageous for use with spatial discretizations with nonlinear stability properties for the solution of hyperbolic PDEs. The search for high order strong stability time-stepping methods with large allowable strong stability time-step has been an active area of research over the last two decades. Recently, multiderivative time-stepping methods have been implemented with hyperbolic PDEs. In this work we describe sufficient conditions for a two-derivative multistage method to be SSP, and find some optimal SSP multistage two-derivative methods. While explicit SSP Runge--Kutta methods exist only up to fourth order, we show that this order barrier is broken for explicit multi-stage two-derivative methods by designing a three stage fifth order SSP method. These methods are tested on simple scalar PDEs to verify the order of convergence, and demonstrate the need for the SSP condition and the sharpness of the SSP time-step in many cases.

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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