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Explicit symplectic multidimensional exponential fitting modified Runge-Kutta-Nystroem methods

机译:显式辛多维指数拟合改进的Runge-Kutta-Nystroem方法

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摘要

This paper is concerned with multidimensional exponential fitting modified Runge-Kutta-Nystroem (MEFMRKN) methods for the system of oscillatory second-order differential equations q"(t) + Mq(t) = f(q(t)), where M is a d × d symmetric and positive semi-definite matrix and f(q) is the negative gradient of a potential scalar U(q). We formulate MEFMRKN methods and show clearly the relationship between MEFMRKN methods and multidimensional extended Runge-Kutta-Nystroem (ERKN) methods proposed by Wu et al. (Comput. Phys. Comm. 181:1955-1962, 2010). Taking into account the fact that the oscillatory system is a separable Hamiltonian system with Hamiltonian H(p,q) — 1/2 p~T p + 1/2 q~T Mq + U(q), we derive the symplecticity conditions for the MEFMRKN methods. Two explicit symplectic MEFMRKN methods are proposed. Numerical experiments accompanied demonstrate that our explicit symplectic MEFMRKN methods are more efficient than some well-known numerical methods appeared in the scientific literature.
机译:本文涉及振荡二阶微分方程q“(t)+ Mq(t)= f(q(t))的系统的多维指数拟合改进的Runge-Kutta-Nystroem(MEFMRKN)方法,其中M为ad×d对称正半定矩阵,f(q)是潜在标量U(q)的负梯度。我们制定了MEFMRKN方法,并清楚地表明了MEFMRKN方法与多维扩展Runge-Kutta-Nystroem(ERKN)之间的关系)(Wu et al。(Comput。Phys。Comm。181:1955-1962,2010)提出的方法。考虑到振荡系统是具有哈密顿H(p,q)-1/2的可分离哈密顿系统的事实p〜T p + 1/2 q〜T Mq + U(q),推导了MEFMRKN方法的辛性条件,提出了两种显式辛MEFMRKN方法,并通过数值实验证明,我们的显式辛MEFMRKN方法比科学文献中出现了一些著名的数值方法。

著录项

  • 来源
    《BIT numerical mathematics》 |2012年第3期|p.773-795|共23页
  • 作者单位

    Department of Mathematics, Nanjing University, Nanjing 210093, P.R. China,State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, P.R. China;

    Department of Mathematics, Nanjing University, Nanjing 210093, P.R. China,State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, P.R. China;

    Department of Mathematics, Purdue University, West Lafayette, IN 47907, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    exponential fitting; MEFMRKN methods; symplecticity conditions; ERKN integrators; oscillatory systems;

    机译:指数拟合MEFMRKN方法;辛条件ERKN集成商;振荡系统;

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