As an emerging communication technology, time-sensitive networking (TSN) promises the real time and deterministic interaction of massive data in Industrial Internet of Things. However, it is ...

Runge-Kutta methods are widely used and popular solutions method for scientific simulations based on differential equations and, thus, their efficient execution is crucial for many applications. Today ...

This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

Numerical ODE solver using Euler and Runge-Kutta methods. Visualizes and compares accuracy against analytical solutions for exponential decay problems.

In this paper, a new Runge–Kutta–Nyström method of fourth algebraic order is developed. The new method has zero phase-lag, zero amplification error and zero first integrals of the previous properties.