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 ...

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 ...

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 ...

This project explores the intersection of advanced calculus and macroeconomic theory. We model economic indicators such as inflation, GDP, and money supply growth using differential equations and ...

Hi all, this is my first post so please bear with me – any advice/support would be warmly welcomed. I have been doing some work on a simple RLC electronic circuit whose transfer function follows the ...

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 ...