Ubuntu
brial package

brial 1.2.6-2 source package in Ubuntu

Changelog

brial (1.2.6-2) unstable; urgency=medium

  * Better patch for tighter config.h.in.
  * Add a patch to fix a Python3 warning.

 -- Julien Puydt <email address hidden>  Tue, 14 Jan 2020 08:22:11 +0100

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
brial_1.2.6-2.dsc 2.4 KiB 3e3b8c60734f63359a32e098f59a699df489d05ceb0b556d934c66bf194bcc40
brial_1.2.6.orig.tar.gz 1.6 MiB b64d6f0ad75925d7860ccdd142441e90fcb1d3ebef0d9dc8fd619dc73531febd
brial_1.2.6-2.debian.tar.xz 7.2 KiB ff510fc3ef149d6f3cf6038932ba68e1b6af9a74cbd1fcc10a8deb91c808a516

Available diffs

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Binary packages built by this source

libbrial-dev: polynomials over Boolean Rings, core development files

 The core of BRiAl 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. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl core development files.

libbrial-groebner-dev: development files for libbrial-groebner

 The core of BRiAl 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. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the development files for libbrial-groebner.

libbrial-groebner3: computer algebra routines of BRiAl

 The core of BRiAl 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. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl shared library libbrial_groebner.

libbrial-groebner3-dbgsym: debug symbols for libbrial-groebner3
libbrial3: polynomials over Boolean Rings, shared library

 The core of BRiAl 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. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl shared library libbrial.

libbrial3-dbgsym: debug symbols for libbrial3
python3-brial: polynomials over Boolean Rings, Python 3 module

 The core of BRiAl 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. BRiAl features a powerful reference implementation
 for Groebner basis computation.
 .
 This package contains the BRiAl Python 3 module.