Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Sigmoid functions for the smooth approximation to $ \vert{x}\vert $

Version 1 : Received: 11 March 2019 / Approved: 13 March 2019 / Online: 13 March 2019 (09:12:38 CET)

A peer-reviewed article of this Preprint also exists.

Bagul, Y.J.; Chesneau, C. Sigmoid Functions for the Smooth Approximation to the Absolute Value Function. Moroccan Journal of Pure and Applied Analysis 2020, 7, 12–19, doi:10.2478/mjpaa-2021-0002. Bagul, Y.J.; Chesneau, C. Sigmoid Functions for the Smooth Approximation to the Absolute Value Function. Moroccan Journal of Pure and Applied Analysis 2020, 7, 12–19, doi:10.2478/mjpaa-2021-0002.

Abstract

We present smooth approximations to $ \vert{x} \vert $ using sigmoid functions. In particular $ x\,erf(x/\mu) $ is proved to be better smooth approximation for $ \vert{x} \vert $ than $ x\,tanh(x/\mu) $ and $ \sqrt{x^2 + \mu} $ with respect to accuracy. To accomplish our goal we also provide sharp hyperbolic bounds for error function.

Keywords

Sigmoid functions; error function; smooth approximation; Hyperbolic tangent

Subject

Computer Science and Mathematics, Analysis

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