GitHub

Extreme Learning Machine For solving Second Order Inhomogeneous Differential Equations Implemented in python

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 ...
GitHub

Solving Differential Equations Using Neural Networks

This Python code provides a framework for solving non-linear or linear differential equations using neural networks, specifically using the PyTorch library. Additionally, it includes a class that ...
Scientific Research Publishing

Mean Square Solutions of Second-Order Random Differential Equations by Using the Differential Transformation Method ()

The object of this work is to describe how to implement the differential ‎transformation method (DTM) for finding exact and approximate solutions of ‎the second-order random differential equations. To ...
IEEE

Numerical Solution of First and Second Order Differential Equations with Deep Neural Networks

Abstract: Ordinary differential equations (ODEs) are a fundamental tool for modeling dynamical systems in various scientific fields. However, solving ODEs analytically can be challenging, and ...
Scientific Research Publishing

Oscillation Criteria of second Order Non-Linear Differential Equations ()

In this paper we are concerned with the oscillation criteria of second order non-linear homogeneous differential equation. Example have been given to illustrate the results. [1] Al-Ashker, M.M.: ...
JSTOR Daily

Oscillation of second-order differential equations with a sublinear neutral term

This is a preview. Log in through your library . Abstract This paper is concerned with oscillation of a certain class of second-order differential equations with a sublinear neutral term. Two ...