JiTCODE stands for just-in-time compilation for ordinary differential equations and is an extension of SciPy’s ODE (
Where SciPy’s ODE takes a Python function as an argument, JiTCODE takes an iterable (or generator function) of SymPy expressions, which it translates to C code, compiles on the fly, and uses as the function to feed into SciPy’s ODE.
If you want to integrate delay or stochastic differential equations, check out
- Documentation – Read this to get started and for reference. Don’t miss that some topics are addressed in the common JiTC*DE documentation.
- Paper – Read this for the scientific background. Cite this (BibTeX) if you wish to give credit or to shift blame.
- Issue Tracker – Please report any bugs here. Also feel free to ask for new features.
- Installation instructions. In most cases, pip3 install jitcode or similar should do the job.
This work was supported by the Volkswagen Foundation (Grant No. 88463).