This is the second post (here’s the first one) about an approach to introducing the derivative to calculus students that is counter to what I’ve seen in textbooks and other traditional treatments of ...

Generally, a piecewise function can take values of any type as an input and return numbers of any type as an output. However, in its current implementation numpy.piecewise forces the output type to be ...

Abstract: This paper deals with the problem of parametric piecewise quadratic programming (in which the cost is a piecewise quadratic function of both the decision variable and a parameter) and the ...

This repository houses a set of functions dedicated to the study of how well neural networks can learn a piecewise function dataset of varying complexity. You will find code dedicated to generating ...

Abstract: This paper provides a complete derivation for LQR optimal controllers and the optimal value function using basic principles from variational calculus. As opposed to alternatives, the ...