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arXiv 1509.04566math.NAcs.NAmath.CA
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基于代数的非标准时间步进方案

Algebraic-based nonstandard time-stepping schemes

Loïc Michel

AI总结:

本文提出基于代数估计法的非标准时间步进方案,用于求解微分方程,通过内部滤波特性提升计算精度。

摘要:

在本初步工作中,我们提出了基于代数估计法的非标准时间步进策略,用于求解微分方程,该方法通过估计时间导数提供了有趣的'内部'滤波特性。我们首先考虑了一种经典有限差分方法,如显式欧拉法,研究是否可以使用代数导数估计代替常规有限差分来计算数值导数。然后,我们探讨如何利用导数的代数估计来改进基于龙格-库塔方案的坡度预测。

英文摘要:

In this preliminary work, we present nonstandard time-stepping strategies to solve differential equations based on the algebraic estimation method applied to the estimation of time-derivative, which provides interesting properties of "internal" filtering. We consider firstly a classical finite difference method, like the explicit Euler method for which we study the possibility of using the algebraic estimation of derivatives instead of the usual finite difference to compute the numerical derivation. Then, we investigate how to use the algebraic estimation of derivatives in order to improve the slope predictions in RK-based schemes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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