{ "info": { "author": "Gerrit Ansmann", "author_email": "gansmann@uni-bonn.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "JiTCODE stands for just-in-time compilation for ordinary differential equations and is an extension of `SciPy\u2019s ODE `_ (``scipy.integrate.ode``).\nWhere SciPy\u2019s ODE takes a Python function as an argument, JiTCODE takes an iterable (or generator function) of `SymPy `_ expressions, which it translates to C\u00a0code, compiles on the fly, and uses as the function to feed into SciPy\u2019s ODE.\nIf you want to integrate delay or stochastic differential equations, check out\n`JiTCDDE `_, or\n`JiTCSDE `_, respectively.\n\n\n* `Documentation `_ \u2013\u00a0Read this to get started and for reference. Don\u2019t miss that some topics are addressed in the `common JiTC*DE documentation `_.\n\n* `Paper `_ \u2013\u00a0Read this for the scientific background. Cite this (`BibTeX `_) if you wish to give credit or to shift blame.\n\n* `Issue Tracker `_ \u2013\u00a0Please report any bugs here. Also feel free to ask for new features.\n\n* `Installation instructions `_. 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