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.
ODE solver library in Rust
Fixed and variable-step Runge-Kutta solvers in Modern Fortran
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
Numerically solves equations of motion for a given Hamiltonian function
Fortran Library for numerical INTegration of differential equations
High-order ODE solvers as C++ classes with no dependencies
Numerical methods implementation in MATLAB.
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
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)
A numerical CFD solver for the Shallow Water Equations
Code for efficient solution of oscillatory ordinary differential equations
Computing with B-series in Julia
Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones
FSLE is a Lagrangian diagnostic for analyzing ocean tracer transport and mixing. It computes sub-mesoscale maps and identifies Lagrangian Coherent Structures from velocity field time series, aiding studies of sea surface temperature and ocean color.
Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
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