Understanding Runge-Kutta

Moving the initial point and varying the step size shows how, by sampling from points that contain the expected trajectory, the Runge–Kutta method improves on the Euler and related methods. Larger step sizes show how the method can err, while decreasing the step size shows the rapid convergence to the actual trajectory.