pycddlib is a Python wrapper for Komei Fukuda's cddlib.
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Project description
cddlib is an implementation of the Double Description Method of Motzkin et al. for generating all vertices (i.e. extreme points) and extreme rays of a general convex polyhedron given by a system of linear inequalities.
The program also supports the reverse operation (i.e. convex hull computation). This means that one can move back and forth between an inequality representation and a generator (i.e. vertex and ray) representation of a polyhedron with cdd. Also, it can solve a linear programming problem, i.e. a problem of maximizing and minimizing a linear function over a polyhedron.
- Download: http://pypi.python.org/pypi/pycddlib/#downloads
- Documentation: http://pycddlib.readthedocs.org/
- Development: http://github.com/mcmtroffaes/pycddlib/
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| pycddlib-2.0.0-cp27-cp27m-win32.whl (212.0 kB) Copy SHA256 hash SHA256 | Wheel | cp27 | Dec 13, 2017 |
| pycddlib-2.0.0-cp27-cp27m-win_amd64.whl (270.7 kB) Copy SHA256 hash SHA256 | Wheel | cp27 | Dec 13, 2017 |
| pycddlib-2.0.0-cp34-cp34m-win32.whl (215.3 kB) Copy SHA256 hash SHA256 | Wheel | cp34 | Dec 13, 2017 |
| pycddlib-2.0.0-cp34-cp34m-win_amd64.whl (272.9 kB) Copy SHA256 hash SHA256 | Wheel | cp34 | Dec 13, 2017 |
| pycddlib-2.0.0-cp35-cp35m-win32.whl (198.0 kB) Copy SHA256 hash SHA256 | Wheel | cp35 | Dec 13, 2017 |
| pycddlib-2.0.0-cp35-cp35m-win_amd64.whl (253.9 kB) Copy SHA256 hash SHA256 | Wheel | cp35 | Dec 13, 2017 |
| pycddlib-2.0.0-cp36-cp36m-win32.whl (199.1 kB) Copy SHA256 hash SHA256 | Wheel | cp36 | Dec 13, 2017 |
| pycddlib-2.0.0-cp36-cp36m-win_amd64.whl (255.4 kB) Copy SHA256 hash SHA256 | Wheel | cp36 | Dec 13, 2017 |
| pycddlib-2.0.0.tar.gz (169.0 kB) Copy SHA256 hash SHA256 | Source | None | Dec 13, 2017 |
