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Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods

机译:耦合时间阶梯方法概述常微分方程的全局误差估计

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This study introduces new time-stepping strategies with built-in global error estimators. The new methods propagate the defect along with the numerical solution much like solving for the correction or Zadunaisky's procedure; however, the proposed approach allows for overlapped internal computations and, therefore, represents a generalization of the classical numerical schemes for solving differential equations with global error estimation. The resulting algorithms can be effectively represented as general linear methods. Several explicit self-starting schemes akin to Runge-Kutta methods with global error estimation are introduced, and the theoretical considerations are illustrated in several examples. (C) 2017 Elsevier B.V. All rights reserved.
机译:本研究介绍了具有内置全局误差估计的新时效策略。 新方法将缺陷与数值解决方案一起传播,如解决校正或Zadunaisky的程序; 然而,所提出的方法允许重叠的内部计算,因此,表示具有全局误差估计的微分方程的经典数字方案的概括。 得到的算法可以有效地表示为一般线性方法。 介绍了几种显式自启动方案,类似于具有全局误差估计的Runge-Kutta方法,并且在几个示例中说明了理论考虑。 (c)2017年Elsevier B.V.保留所有权利。

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