Let's delve into the fascinating world of piecewise functions, focusing specifically on those exhibiting discontinuous domains. While often perceived as complex, these functions are powerful tools for ...

The mathematical foundation of deep learning is the theorem that any continuous function can be approximated within any specified accuracy by using a neural network with certain non-linear activation ...

Many computer vision and human-computer interaction applications developed in recent years need evaluating complex and continuous mathematical functions as an essential step toward proper operation.

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 ...

Abstract: Many computer vision and human-computer interaction applications developed in recent years need evaluating complex and continuous mathematical functions as an essential step toward proper ...

Structure of the data A condition is specified by the composition of the elongation complex. In this study, we tested 14 different conditions which correspond to different subsets of the 8 elongation ...

This repository contains multiple scripts that help explore and perform tests on numbers to try and prove the collatz-conjecture. I tried to optimize the scripts as best I could to be able to run more ...