polybori 0.8.3-1 source package in Ubuntu
Changelog
polybori (0.8.3-1) unstable; urgency=low
* Add myself to Uploaders with ack from Alexander Dreyer.
* Upload to unstable.
* polybori-doc breaks and replaces libpolybori-dev (<< 0.8) because
of file conflicts. (Closes: #717975)
* Link with --as-needed to build on jessie.
* Bump Standards-Version to 3.9.4.
* Create watch file.
* Create doc-base file.
* Update debian/copyright.
* Update package descriptions.
-- Tobias Hansen <email address hidden> Sun, 03 Nov 2013 00:37:45 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| polybori_0.8.3-1.dsc | 2.8 KiB | e4e26e2a20ca570f3a0a45db6c3e70ef4fd01221c10c9d553d55653af4b03946 |
| polybori_0.8.3.orig.tar.gz | 2.2 MiB | 9f60ba706e565e417ca8300a8d3f0596d1e4ded020502f114092fd846637a8f0 |
| polybori_0.8.3-1.debian.tar.gz | 10.2 KiB | 691ee65a06dac4fb1e1c540568b40613712c2f276d68c3eb4927fde358267e4a |
Available diffs
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.
