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arXiv 1503.00037math.NAcs.NA
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后验误差估计器用于无限区间边值问题的非标准有限差分方案

A Posteriori Error Estimator for a Non-Standard Finite Difference Scheme Applied to BVPs on Infinite Intervals

University of Messina(墨西拿大学)

Riccardo Fazio, Alessandra Jannelli

AI总结:

本文研究了用于无限区间边值问题的非标准有限差分方案的后验误差估计器,通过Richardson外推法提升数值解的精度,并通过基准问题验证了误差估计的可靠性。

摘要:

本文介绍了用于无限区间边值问题的非标准有限差分方案的后验误差估计器。特别地,我们展示了如何利用Richardson外推法来提高数值解的精度,该方法涉及两个嵌套的准均匀网格的数值解。通过一个已知精确解的基准问题,我们得出结论:当舍入误差可以忽略不计且网格足够精细时,Richardson误差估计能给出全局误差的上界。

英文摘要:

In this paper, we present a study of an a posteriori estimator for the discretization error of a non-standard finite difference scheme applied to boundary value problems defined on an infinite interval. In particular, we show how Richardson's extrapolation can be used to improve the numerical solution involving the order of accuracy and numerical solutions from two nested quasi-uniform grids. A benchmark problem is examined for which the exact solution is known and we get the following result: if the round-off error is negligible and the grids are sufficiently fine then the Richardson's error estimate gives an upper bound of the global error.

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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