% Usage: [x,y,ts] = particle_track_ode_andreas(X,Y,U,V,tt,tspan,cc,options,odesolver ) % This function is largely inspired by Bruce Lipphardt's trajectories code. % The principal difference is the ...

This repository demonstrates how to use MATLAB’s Deep Learning Toolbox for computing gradients of ODE solutions (and losses related to them). By leveraging automatic differentiation, we can easily ...

Abstract: This paper describes the kinematics of physical model simulation by using the Open Dynamics Engine (ODE) and matrix based simulation by using MATLAB. In order to confirm the simulation ...

ABSTRACT: We present an algorithm for determining the stepsize in an explicit Runge-Kutta method that is suitable when solving moderately stiff differential equations. The algorithm has a geometric ...