Runge-Kutta methods in Standard ML
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Updated
Jul 14, 2017 - Standard ML
Runge-Kutta methods in Standard ML
Simulation of the vibratory motion of the Duffing Oscillator using several Fourth Order Runge Kutta methods
A collection of Numerical Methods implemented in Racket. Includes Root Finders, ODE Solvers, Linear System Solvers, etc. as well as Applications/Demos.
A collection of classical algorithms to solve ODEs and boundary value problems
常微分方程式の数値解法の基礎.(教材)
Runge-Kutta C program, methods (RK12 and RK24) for solving ordinary differential equations, with adaptive step size.
JavaScript implementation of Runge-Kutta-Fehlberg numerical integration for the browser
N-body gravity simulation
VSCMG Dynamical stepper with python wrapper!
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.
Runge-Kutta 4th order discrete function approximation in C++
Implementation of a code for the numerical solution of a differential equation describing the motion of a harmonic oscillator using Euler's method and than Runge Kutta 4-th order.
N-Body problem in C with parallel computing using 12 order Runge-Kutta with adaptive step size
A solution to the Lotka-Volterra Equations is approximated using Dormand-Prince-45 method with adaptive step size control.
Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.
多体問題に対するいろんなアイディアを試す
Fixed and variable-step Runge-Kutta solvers in Modern Fortran
Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones
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