A Modern Fortran Library for Astrodynamics 🚀

Numerical methods implementation in Python.

Python notebooks for Numerical Analysis

Numerical methods implementation in MATLAB.

Modern Fortran Edition of Hairer's DOP853 ODE Solver. An explicit Runge-Kutta method of order 8(5,3) for problems y'=f(x,y); with dense output of order 7

Self advection, external force and pressure solve to a velocity field represented by a MaC grid.

A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)

Code for efficient solution of oscillatory ordinary differential equations

Fortran Library for numerical INTegration of differential equations

A numerical CFD solver for the Shallow Water Equations

Lorenz attractor, mathematical Chaos Theory / Butterfly Effect

Easy-to-compile, high-order ODE solvers as C++ classes

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

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

Numerically solves equations of motion for a given Hamiltonian function

Computing with B-series in Julia

Basic implementation 4th order Runge Kutta method for ODE's

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

Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.