Ubuntu
brial package

brial 1.2.5-2.1 source package in Ubuntu

Changelog

brial (1.2.5-2.1) unstable; urgency=medium

  * Non-maintainer upload.
  * Drop python2 support; Closes: #936238

 -- Sandro Tosi <email address hidden>  Fri, 10 Jan 2020 14:06:12 -0500

Upload details

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_1.2.5-2.1.dsc 2.3 KiB fb7c3bfa885980e1d7a32e2969601ebb68a69a166e64fe9f69d72ac55d46af04
brial_1.2.5.orig.tar.gz 1.6 MiB b2ada86269321b9fb2e9a4c64865100a826378db5e623e938cd14814754f30f6
brial_1.2.5-2.1.debian.tar.xz 6.4 KiB cbfb1008c850218f624f280c1b256867a741af3314b4e6b61cb1597a11c7393d

Available diffs

No changes file available.

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.