Metadata-Version: 2.1
Name: FiPy
Version: 3.3
Summary: A finite volume PDE solver in Python
Home-page: http://www.ctcms.nist.gov/fipy/
Author: Jonathan Guyer, Daniel Wheeler, & Jim Warren
Author-email: fipy@nist.gov
License: NIST Public Domain
Download-URL: https://github.com/usnistgov/fipy/archive/3.3.zip
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Environment :: X11 Applications
Classifier: Intended Audience :: Science/Research
Classifier: License :: Public Domain
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: future


FiPy is an object oriented, partial differential equation (PDE) solver,
written in Python, based on a standard finite volume (FV) approach.  This
combination provides a tool that is extensible, powerful and freely
available.  A significant advantage to Python is the existing suite of
tools for array calculations, sparse matrices and data rendering.

The FiPy framework includes terms for transient diffusion, convection and
standard sources, enabling the solution of arbitrary combinations of
coupled elliptic, hyperbolic and parabolic PDEs.  Currently implemented
models include phase field treatments of polycrystalline, dendritic, and
electrochemical phase transformations, as well as drug eluting stents,
reactive wetting, photovoltaics and a level set treatment of the
electrodeposition process.


