NOTICE: This package has been removed from pkgsrc

./wip/py-ploybori, Polynomials over Boolean Rings, Python module

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Branch: CURRENT, Version: 3, Package name: py26-polybori-0.6-3, Maintainer: jihbed.research

The core of PolyBoRi is a C++ library, which provides high-level data types
for Boolean polynomials and monomials, exponent vectors, as well as for the
underlying polynomial rings and subsets of the powerset of the Boolean
variables. As a unique approach, binary decision diagrams are used as
internal storage type for polynomial structures. On top of this C++-library
we provide a Python interface. This allows parsing of complex polynomial
systems, as well as sophisticated and extendable strategies for Groebner
base computation. PolyBoRi features a powerful reference implementation for
Groebner basis computation.


Required to run:
[shells/bash] [devel/boost-python] [www/py-genshi] [textproc/py-jinja] [lang/python26]

Required to build:
[devel/boost-headers] [devel/scons]

Master sites:

SHA1: f69bb39b984db04a2514f956a01a12999be03bf6
RMD160: 498a987be59c9d75e5f52d953d65e6ee01f0234a
Filesize: 2313.916 KB

Version history: (Expand)

CVS history: (Expand)


   2010-08-06 23:02:19 by Kamel Derouiche | Files touched by this commit (5) | Package removed
Log message:
replace by polybori, fixed error
   2010-05-16 17:58:17 by Kamel Derouiche | Files touched by this commit (5) | Imported package
Log message:
Import py26-polybori-0.6-3 as wip/py-ploybori.

The core of PolyBoRi is a C++ library, which provides high-level data types
for Boolean polynomials and monomials, exponent vectors, as well as for the
underlying polynomial rings and subsets of the powerset of the Boolean
variables. As a unique approach, binary decision diagrams are used as
internal storage type for polynomial structures. On top of this C++-library
we provide a Python interface. This allows parsing of complex polynomial
systems, as well as sophisticated and extendable strategies for Groebner
base computation. PolyBoRi features a powerful reference implementation for
Groebner basis computation.