polybori 0.8.3-2 source package in Ubuntu
Changelog
polybori (0.8.3-2) unstable; urgency=low * Protect CErrorInfo::text() against invalid array access. The missing check caused failing tests on ia64 and alpha. -- Tobias Hansen <email address hidden> Sun, 03 Nov 2013 22:27:53 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- math
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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polybori_0.8.3-2.dsc | 2.8 KiB | 67f461be253d0838f5c0910bfb1cf613760c50f7c653f2a1d7f70c190c1ee56a |
polybori_0.8.3.orig.tar.gz | 2.2 MiB | 9f60ba706e565e417ca8300a8d3f0596d1e4ded020502f114092fd846637a8f0 |
polybori_0.8.3-2.debian.tar.gz | 10.6 KiB | 4d6ae441538a39121ea626308455459764fdf481aca10f7787ce65e411a255b8 |
Available diffs
- diff from 0.8.3-1 to 0.8.3-2 (834 bytes)
No changes file available.
Binary packages built by this source
- libpolybori-0.8-3: polynomials over Boolean Rings, shared library
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi shared library libpolybori.
- libpolybori-0.8-3-dbg: debug symbols for libpolybori-0.8-3
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 a Python interface
is provided. 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.
.
This package contains the debugging symbols of PolyBoRi's shared libraries.
- libpolybori-dev: polynomials over Boolean Rings, core development files
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi core development files.
- libpolybori-groebner-0.8-3: computer algebra routines of PolyBoRi
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi shared library libpolybori_groebner.
- libpolybori-groebner-0.8-3-dbg: debug symbols for libpolybori-groebner-0.8-3
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 a Python interface
is provided. 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.
.
This package contains the debugging symbols of PolyBoRi's shared library
libpolybori-groebner.
- libpolybori-groebner-dev: development files for libpolybori-groebner
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 a Python interface
is provided. 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.
.
This package contains the development files for libpolybori-groebner.
- polybori: polynomials over Boolean Rings, custom ipython shell
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi's shell ipbori.
- polybori-doc: polynomials over Boolean Rings, documentation
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi documentation.
- polybori-gui: polynomials over Boolean Rings, GUI
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi's PolyGUI.
- python-polybori: polynomials over Boolean Rings, Python module
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 a Python interface
is provided. 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.
.
This package contains the PolyBoRi Python module.