This work introduces Flex-SFU, a lightweight hardware accelerator for activation functions that uses nonuniform piecewise interpolation and supports multiple data formats including both linear and ...

The course gives insight into theory and algorithms for fundamental mathematical problems associated with systems of equations, optimization, and approximation of functions ... The subject assumes ...

Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range of ...

APLR allows you to build predictive and interpretable regression or classification machine learning models in Python, using the Automatic Piecewise Linear Regression (APLR) methodology developed by ...

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 ...