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Source: cvxopt
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Andreas Tille <tille@debian.org>
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
dvipng,
libblas-dev,
liblapack-dev,
libglpk-dev,
libfftw3-dev,
libgsl-dev,
libdsdp-dev,
pybuild-plugin-pyproject,
python3-all-dev,
python3-setuptools
Build-Depends-Indep: dh-sequence-sphinxdoc,
python3-sphinx,
latexmk,
tex-gyre,
texlive-latex-base,
texlive-latex-recommended,
texlive-latex-extra,
texlive-fonts-recommended,
python3-sphinx-rtd-theme
Standards-Version: 4.6.1
Vcs-Browser: https://salsa.debian.org/science-team/cvxopt
Vcs-Git: https://salsa.debian.org/science-team/cvxopt.git
Homepage: https://cvxopt.org/
Rules-Requires-Root: no
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
Multi-Arch: foreign
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.
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