In this paper we present an algorithm to fit data via exponentials when the error is measured using the max-norm. We prove the necesssary results to show that the algorithm will converge to the best approximation no matter the dataset.

翻译：本文提出了一种在采用最大范数度量误差时，通过指数函数拟合数据的算法。我们证明了必要结论，表明该算法无论数据集如何，均能收敛到最佳逼近。