Facebook researchers built a new neural network that can solve complex mathematical equations, even those dealing with calculus. Here's how it works.

In this paper, we develop a new discontinuous Galerkin (DG) finite element method for solving time dependent partial differential equations (PDEs) with higher order spatial derivatives. Unlike the ...

Derivative Nonlinear Schrödinger Equations (DNLS) extend the classical nonlinear Schrödinger framework by incorporating derivative-dependent nonlinearities. This modification enriches the model ...