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:在本文中,我们提出了一种通过指数拟合数据的算法,当使用最大范数测量误差时。我们证明了必要的结果,以表明无论数据集如何,算法都会收敛到最佳逼近。