Function approximation, a central theme in numerical analysis and applied mathematics, seeks to represent complex functions through simpler or more computationally tractable forms. In this context, ...

This article studies the problem of approximating functions belonging to a Hubert space H d with an isotropie or anisotropic translation invariant (or stationary) reproducing kernel with special ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

In this project, I used Multi-Layer Perceptrons (MLPs) to approximate a few one-dimensional functions. The idea was to start with something simple (like a straight line) and move toward more complex ...

Nearest Convex Function Algorithms This repository contains MATLAB implementations of algorithms for finding the nearest convex function to a given piecewise quadratic function. The algorithms solve ...