A Modern Fortran Library for Astrodynamics 🚀
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Updated
Mar 6, 2024 - Fortran
A Modern Fortran Library for Astrodynamics 🚀
Self advection, external force and pressure solve to a velocity field represented by a MaC grid.
Python notebooks for Numerical Analysis
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.
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
Easy-to-compile, high-order ODE solvers as C++ classes
Code for efficient solution of oscillatory ordinary differential equations
A numerical CFD solver for the Shallow Water Equations
Computing with B-series in Julia
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.
Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones
ODE system solver made simple. For IVPs (initial value problems).
Lorenz attractor, mathematical Chaos Theory / Butterfly Effect
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