Source: cvxopt Maintainer: Debian Science Team Uploaders: Andreas Tille Section: python Testsuite: autopkgtest-pkg-python Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, dvipng, libblas-dev, liblapack-dev, python3-sphinx, latexmk, libglpk-dev, libfftw3-dev, libgsl-dev, libdsdp-dev, texlive-latex-base, texlive-latex-recommended, texlive-latex-extra, texlive-fonts-recommended, texlive-plain-generic, python3-all-dev, python3-sphinx-rtd-theme, python3-setuptools Standards-Version: 4.5.0 Rules-Requires-Root: no Vcs-Browser: https://salsa.debian.org/science-team/cvxopt Vcs-Git: https://salsa.debian.org/science-team/cvxopt.git Homepage: http://cvxopt.org/ Package: python3-cvxopt Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends} Suggests: python-cvxopt-doc Provides: ${python:Provides} Description: Python3 package for convex optimization CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. . This package contains the Python 3 module. Package: python-cvxopt-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends}, libjs-mathjax Breaks: python-cvxopt (<< 1.1.8) Replaces: python-cvxopt (<< 1.1.8) Description: Python package for convex optimization (documentation) CVXOPT is a Python package for convex optimization. It includes * Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. . This package contains the documentation of the Python module.