Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...

👉 Learn how to evaluate a piecewise function. A piecewise function is a function which uses different rules for different intervals. When evaluating a piecewise function, pay attention to the ...

👉 Learn how to graph piecewise functions. A piecewise function is a function that has more than one sub-functions for different sub-intervals (sub-domains) of the function's domain. To graph a ...

Abstract: We experimentally demonstrate a UOWC system using uneven PAM4 scheme with a piecewise linear equalizer, achieving a 94.5% reduction of mean squared error, which matches the standard quality ...

The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...

A python implementation of the algorithm used to generate optimal piecewise linear approximations of convex functions proposed by Imamoto and Tang [1]. The algorithm uses an iterative search to find ...

In this paper, we propose a method for finding the best piecewise linearization of nonlinear functions. For this aim, we try to obtain the best approximation of a nonlinear function as a piecewise ...

School of Mathematics and Physics, Jinggangshan University, Ji’an, China. The fundamental problem of approximation theory is to resolve a possibly complicated function, called the target function, by ...