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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: We present two secure two party computation (STPC) protocols for piecewise function approximation on private data. The protocols rely on a piecewise approximation of the to-be-computed ...

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 ...

Hello, when attempting to generate a piecewise membership using the package, it is not clear to me how the piecemf function is working. After having attempted to reverse engineer the source code, it ...

In this six-step guide, learn how to use Google's query formula in order to build link analysis dashboards in Google sheets. Analyzing your own link profile as well as your competitors’ is a ...

‘Higher-order functions’ is a fancy term for functions that take other functions as arguments or that return functions. Very powerful! Last week, I casually dropped the term “higher-order function” ...