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dev-python/cvxopt

Python package for convex optimization

Screenshots

  • cvxopt-1.3.2
    amd64 ~x86 ~amd64-linux ~x86-linux
    +dsdp examples fftw +glpk gsl doc test python_targets_python3_10 python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 debug

    View      Download      Browse     License: GPL-3   
    Overlay: gentoo

USE Flags

+dsdp
* This flag is undocumented *
examples
Global: Install examples, usually source code
fftw
Global: Use FFTW library for computing Fourier transforms
+glpk
* This flag is undocumented *
gsl
Global: Use the GNU scientific library for calculations
doc
Global: Adds extra documentation (API, Javadoc, etc)
test
Global: Workaround to pull in packages needed to run with FEATURES=test. Portage-2.1.2 handles this internally, so don't set it in make.conf/package.use anymore
python_targets_python3_10
* This flag is undocumented *
python_targets_python3_11
* This flag is undocumented *
python_targets_python3_12
* This flag is undocumented *
python_targets_python3_13
* This flag is undocumented *
debug
Global: Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see http://www.gentoo.org/proj/en/qa/backtraces.xml