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, ...

• Artificial Intelligence • In this project we aim to train an artificial neural network to approximate a function of a discrete dynamical system.

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

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 ...

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 ...

For an inventory model with a central warehouse that supplies two satellite ware-houses an approximation of the cost function by upper and lower bounds is presented under the assumption that the ...