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arXiv 2005.02736math.NAcs.NA
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由测量得到的绝对值函数的有理逼近:最近方法的数值研究

Rational approximation of the absolute value function from measurements: a numerical study of recent methods

Ion Victor Gosea, Athanasios C. Antoulas

摘要:

在这项工作中,我们提出了一个广泛的数值研究近似的绝对值函数。本文中提出的方法以有理函数的形式计算近似值,并且是最近才提出的,例如,Loewner框架和AAA算法。此外,这些方法基于数据,即,原始函数的测量(因此是数据驱动的性质)。我们比较这两种方法的数值结果与最近提出的最佳有理逼近方法(极大极小算法),并与上个世纪的各种经典界限。最后,我们提出了一个迭代扩展的Loewner框架,可用于提高逼近质量的合理逼近。

英文摘要:

In this work, we propose an extensive numerical study on approximating the absolute value function. The methods presented in this paper compute approximants in the form of rational functions and have been proposed relatively recently, e.g., the Loewner framework and the AAA algorithm. Moreover, these methods are based on data, i.e., measurements of the original function (hence data-driven nature). We compare numerical results for these two methods with those of a recently-proposed best rational approximation method (the minimax algorithm) and with various classical bounds from the previous century. Finally, we propose an iterative extension of the Loewner framework that can be used to increase the approximation quality of the rational approximant.

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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