This document describes how to use the function PWL2D_heuristic to build a piecewise linear function approximating a function within a given approximating error. It ...

The use of mathematical models to represent physical phenomena or systems has become a standard in engineering. Indeed, the opportunities offered by such models for simulation, control, optimization ...

If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression models. For those who want to delve deeper, follow the upcoming ...

Abstract: In this article, the disjunctive and conjunctive lattice piecewise affine (PWA) approximations of explicit linear model predictive control (MPC) are proposed. Training data consisting of ...

We discuss structure-preserving model order reduction for port-Hamiltonian systems based on a nonlinear approximation ansatz which is linear with respect to a part of the state variables of the ...

This paper offers a qualitative theoretical analysis of the error that may arise when a linear programming calculation is used to solve a problem involving some ...