A Modern Fortran Library for Astrodynamics 🚀

Fixed and variable-step Runge-Kutta solvers in Modern Fortran

A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).

Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones

常微分方程式の数値解法の基礎．（教材）

Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.

Runge-Kutta C program, methods (RK12 and RK24) for solving ordinary differential equations, with adaptive step size.

A collection of classical algorithms to solve ODEs and boundary value problems

A solution to the Lotka-Volterra Equations is approximated using Dormand-Prince-45 method with adaptive step size control.

Runge-Kutta methods in Standard ML

JavaScript implementation of Runge-Kutta-Fehlberg numerical integration for the browser

A collection of Numerical Methods implemented in Racket. Includes Root Finders, ODE Solvers, Linear System Solvers, etc. as well as Applications/Demos.

多体問題に対するいろんなアイディアを試す

VSCMG Dynamical stepper with python wrapper!

N-Body problem in C with parallel computing using 12 order Runge-Kutta with adaptive step size

Códigos en lenguaje fortran 90 que implementan el algoritmo Runge-Kutta de orden 2, Runge-Kutta de orden 4 y el método de Dormand Prince de paso adaptativo para modelos de crecimiento de cáncer

A Generalized Explicit Runge-Kutta implementation in Python

This npm package contains generic Runge-Kutta code that can be used to implement any explicit or embedded methods. The methods currently implemented for use are Forward Euler, Midpoint, Classic 4th order, Cash-Karp, Fehlberg 4-5, and Fehlberg 7-8.