论文标题
高阶多动力IMEX方案
High-Order Multiderivative IMEX Schemes
论文作者
论文摘要
最近,开发了一个四阶保护多个隐式解释(IMEX)方案(Schützand Seal 2020,Arxiv:2001.08268)。该方案基于时间的四阶Hermite插值,并使用基于操作员分裂的方法,如果迭代充分迭代,将收敛到基础正交。 HERMITE方案已在天体物理学中使用了数十年,尤其是用于N体计算,但不适合解决刚性方程式。在这项工作中,我们将在Schütz中提出的计划和SEAL 2020提出的计划扩展到更高的订单。当人们旨在找到包含僵硬术语的微分方程系统的高精度解决方案时,这种高级方案具有优势,这些方程式在整个物理科学中发生。我们首先得出任意秩序的HERMITE计划,并讨论这些公式的稳定性。之后,我们演示了Schütz和Seal 2020的方法如何以直接的方式对这些方案中的任何一个进行概括,并证明所得IMEX方案的收敛性。然后,我们提出了第6至12阶的方法的结果,并探讨了测试问题的选择,包括线性和非线性普通微分方程和汉堡方程。据我们所知,这也是第一次将Hermite时间步变方法应用于部分微分方程。然后,我们讨论这些方案的一些好处,例如它们的并行性和低记忆使用情况以及局限性和潜在缺点。
Recently, a 4th-order asymptotic preserving multiderivative implicit-explicit (IMEX) scheme was developed (Schütz and Seal 2020, arXiv:2001.08268). This scheme is based on a 4th-order Hermite interpolation in time, and uses an approach based on operator splitting that converges to the underlying quadrature if iterated sufficiently. Hermite schemes have been used in astrophysics for decades, particularly for N-body calculations, but not in a form suitable for solving stiff equations. In this work, we extend the scheme presented in Schütz and Seal 2020 to higher orders. Such high-order schemes offer advantages when one aims to find high-precision solutions to systems of differential equations containing stiff terms, which occur throughout the physical sciences. We begin by deriving Hermite schemes of arbitrary order and discussing the stability of these formulas. Afterwards, we demonstrate how the method of Schütz and Seal 2020 generalises in a straightforward manner to any of these schemes, and prove convergence properties of the resulting IMEX schemes. We then present results for methods ranging from 6th to 12th order and explore a selection of test problems, including both linear and nonlinear ordinary differential equations and Burgers' equation. To our knowledge this is also the first time that Hermite time-stepping methods have been applied to partial differential equations. We then discuss some benefits of these schemes, such as their potential for parallelism and low memory usage, as well as limitations and potential drawbacks.