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 ...

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 ...

Abstract: This chapter provides a definition of linear process and distinguishes between linear approximation and linear representation of nonlinear models. It briefly gives some examples that better ...

PiecewiseLinApprox.jl (formerly LinA.jl) is a state-of-the-art piecewise linear approximation package that approximates (or over/under-estimates) univariate differentiable $\mathbb{R} \rightarrow ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...