Graphing tangent functions can seem daunting initially, but with a systematic approach and a solid understanding of the core concepts, it becomes a manageable and even rewarding task. This guide will ...

Abstract: Efficient methods for evaluation of piecewise functions defined over convex polyhedral partitions are proposed. As an important application, the explicit model predictive control problem is ...

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 functions. However, choosing a ...

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 ...

Functions are fundamental in mathematics, describing relationships between inputs and outputs. For instance, linear functions are used to describe proportional relationships such as calculating cost ...

ABSTRACT: In the author’s recent publications, a parametric system biorthogonal to the corresponding segment of the exponential Fourier system was unusually effective. On its basis, it was discovered ...

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 ...