School of Mathematics and Physics, Jinggangshan University, Ji’an, China. The fundamental problem of approximation theory is to resolve a possibly complicated function, called the target function, by ...

Abstract: To approximate functions of a single variable by using linear interpolation is routine in empirical studies. Here, we consider approximating functions of several variables in a similar ...

Abstract: Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during ...

"It is often tha case that the objective function of a constraint would better be described by a nonlinear function, while LP requires us to formulate everything as linear relationships. If, however, ...

This repo contains some tooling to simplify linear combinations of piecewise linear functions, then finally emit them (and their first derivative) as Excel formulas. The motivating application comes ...

One fundamental problem in deep learning is understanding the excellent performance of deep Neural Networks (NNs) in practice. An explanation for the superiority of NNs is that they can realize a ...

The subsurface of the Netherlands is an important source of water that is used for drinking water and plant growth, among other applications. This groundwater is stored in sediments like clay, sand ...