I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those ...

👉 Learn how to evaluate a piecewise function. A piecewise function is a function which uses different rules for different ...

Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of ...

Specifying piecewise functions in GETTSIM is complex and its easy to make mistakes that don't throw errors. We should have a good documentation for that. Wrong intercept. This leads to jumps in the ...

We currently use parameters of type: piecewise_linear to specify parameters of piecewise functions. These parameters are loaded using get_piecewise_parameters. We thereby assume that the pieces of the ...

Abstract: Improvements of recent stability conditions for continuous-time Takagi-Sugeno (T-S) fuzzy systems are proposed. The key idea is to bring together the so-called local transformations of ...

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 ...