A collection of explicit runge-kutta integrators, written in C++

4th-order Runge-Kutta method for solving the first-order ordinary differential equation (MATLAB)

Runge-Kutta Methods in Julia

使用龙格库塔法解激光的速率方程

Runge Kutta numerical integration method in C++, 较为通用性的龙格库塔四阶五步积分（固定步长）

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Solving Linear Ship Manoeuvring Motion Equations Using Rungekutta Fourth Order Method

A Julia implementation of the Runge-Kutta ODE solver.

Runge-Kutta integration of ordinary differential equations with Perl 6

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El método de Runge-Kutta para la resolución eficiente de sistemas de ecuaciones diferenciales. Este proyecto ofrece una interfaz simple para ingresar parámetros como el tamaño del paso y condiciones iniciales, generando resultados detallados tanto en formato tabular como gráfico.

The Runge-Kutta Numerical Solver Library provides cross-language implementations for solving ordinary differential equations (ODEs) using the 4th-order Runge-Kutta method.

Esta calculadora implementa el método de Runge-Kutta y Euler, que es un método numérico de cuarto orden para resolver la ecuación diferencial de primer grado con un valor inicial determinado.

Tools for constructing and analyzing Runge–Kutta methods

A system that aims to track and predict the movements of celestial objects with a fair amount of accuracy.

Runge-Kutta method for solving systems of diff equations

Runge Kutta method to solve differential equation

Generic Runge-Kutta solver (explicit or implicit) and damped Newton method implemented in Python, for educational purposes. A few test cases are given (heat equation, spring-mass system).

The aim of this research is to develop an effective numerical method that can be used to efficiently compute surges in pipes due to valve connecting two reservoirs being rapidly opened, using a computer program developed in the Python environment.

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四阶龙格库塔法

Framework for learning Runge Kutta schemes

Runge Kutta (4th order), for the solution of 1st order Ordinary Differential Equations. Written in C, plots results with Python, NumPy and matplotlib.

This project demonstrates the graphical solution for the Lotka-Volterra Equations using Runge-Kutta-4 method. MATLAB and Python both have been used to find the graphical solution.

A forward-simulation tool using 4th order Runge-Kutta method, and Euler method as verification for simulation approximation.

The fourth order runge kutta method is used to solve the first and second order differential equations

RungeKutta 4-th ordered

Fourth order Runge-Kutta method to solve the simple pendulum equation

miller puckette's rungekutta~ object and a collection of compatible shared object files, such as filters and strange attractors

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