强稳定保持,k阶,5 ~ 10阶,12阶Hermite-Birkhoff时间离散

T. Nguyen-Ba, H. Nguyen-Thu, R. Vaillancourt
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引用次数: 4

摘要

本文通过将9阶线性k阶方法与4阶5 ~ 10阶Runge-Kutta (RK)方法相结合,构造了最优的非负系数的12阶、5 ~ 10阶、显式、强稳定保持的Hermite-Birkhoff (SSP HB)方法。由于这些方法保持单调性,因此它们非常适合在空间离散化后用直线法求解双曲偏微分方程。可以看出,在现有的12阶HB方法中,8步7级HB方法的有效SSP系数最大。在Burgers方程上,一些新的HB方法比Huang的7阶7步混合方法具有更大的最大有效CFL数,从而允许更大的步长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strong-Stability-Preserving, K-Step, 5- to 10-Stage, Hermite-Birkhoff Time-Discretizations of Order 12
We construct optimal k-step, 5- to 10-stage, explicit, strong-stability-preserving Hermite-Birkhoff (SSP HB) methods of order 12 with nonnegative coefficients by combining linear k-step methods of order 9 with 5- to 10-stage Runge-Kutta (RK) methods of order 4. Since these methods maintain the monotonicity property, they are well suited for solving hyperbolic PDEs by the method of lines after a spatial discretization. It is seen that the 8-step 7-stage HB methods have largest effective SSP coefficient among the HB methods of order 12 on hand. On Burgers’ equations, some of the new HB methods have larger maximum effective CFL numbers than Huang’s 7-step hybrid method of order 7, thus allowing larger step size.
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