A Modern Fortran Library for Astrodynamics 🚀

Python notebooks for Numerical Analysis

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

Numerical methods implementation in Python.

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

Numerically solves equations of motion for a given Hamiltonian function

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

Fortran Library for numerical INTegration of differential equations

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)

Numerical methods implementation in MATLAB.

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

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

A numerical CFD solver for the Shallow Water Equations

Code for efficient solution of oscillatory ordinary differential equations

Computing with B-series in Julia

Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.

ODE solver library in Rust

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

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

ODE system solver made simple. For IVPs (initial value problems).