cvxopt: Python software for convex optimization

Description

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language.

Upstream Contact

• 10. Dahl <dahl.joachim@gmail.com>

• 12. Vandenberghe <vandenbe@ee.ucla.edu>

https://cvxopt.org/

License

GPLv3 or later. Includes parts under GPLv2, GNU Lesser General Public License, v2.1. See src/LICENSE for more details. (Sage-compatible)

Type

standard

Dependencies

• $(PYTHON)

• numpy: Package for scientific computing with Python

• $(BLAS)

• gsl: The GNU Scientific Library

• glpk: GNU Linear Programming Kit

• suitesparse: A suite of sparse matrix software

• $(PYTHON_TOOLCHAIN)

• pkgconfig: Python interface to pkg-config

Version Information

package-version.txt:

1.3.0

install-requires.txt:

cvxopt >=1.2.5

Equivalent System Packages

conda:

$ conda install  cvxopt

freebsd:

$ sudo pkg install math/py-cvxopt

macports: install the following packages: py-cvxopt

See https://repology.org/project/python:cvxopt/versions

However, these system packages will not be used for building Sage because using Python site-packages is not supported by the Sage distribution; see trac ticket #29023