首页> 外文期刊>Journal of Applied Mathematics and Bioinformatics >On error estimation in almost Runge-Kutta (ARK) methods
【24h】

On error estimation in almost Runge-Kutta (ARK) methods

机译:关于几乎Runge-Kutta(ARK)方法中的误差估计

获取原文
获取外文期刊封面目录资料

摘要

In Runge-Kutta Theory, it is common knowledge that the bounds for the local truncation errors do not form a suitable basis for monitoring the local truncation error [7]. In a number of literatures including [1], Richardson Extrapolation technique has been shown to be a very reliable means of obtaining error estimates for Runge-Kutta methods. In this paper, we have sought to investigate, by means of rigorous numerical experiments, if this effectiveness of Richardson extrapolation technique extends to ARK methods and our results show that it doesn’t.
机译:在Runge-Kutta理论中,众所周知的是,局部截断误差的界限不能构成监视局部截断误差的合适基础[7]。在包括[1]在内的许多文献中,Richardson外推技术已被证明是获得Runge-Kutta方法误差估计的一种非常可靠的方法。在本文中,我们试图通过严格的数值实验来研究Richardson外推技术的这种有效性是否扩展到ARK方法,而我们的结果表明事实并非如此。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号