This repository contains Python code for approximating the solution of a second-order inhomogeneous ordinary differential equation (ODE) with boundary conditions using an Extreme Learning Machine (ELM ...

Summary <p>Differential equations are an essential part of mathematical modeling for various engineering and science problems. In this regard, many systems are data driven and hence the modeled ...

SOLVING-PARTIAL-DIFFERENTIAL-EQUATIONS This repository contains a university-level project focused on the numerical resolution of Partial Differential Equations (PDEs). It explores different ...

Partial Differential Equations (PDEs): Equations that involve rates of change with respect to continuous variables and are used to describe a wide range of physical phenomena.

The study of differential equations in Banach spaces represents a fundamental intersection between functional analysis and the theory of dynamical systems.

Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.

Waveguide-based structures can solve partial differential equations by mimicking elements in standard electronic circuits. This novel approach, developed by researchers at Newcastle University in the ...