cvxopt
Python package for convex optimization
CVXOPT is a software for convex optimization based on the Python programming language. Its main purpose is to make the development of software for convex optimization applications straightforward.
homepage ↗homepage ↗homepage ↗ github: cvxopt/cvxopt pypi: cvxopt
Available in
| Overlay | Newest | Ebuilds | Last activity | |
|---|---|---|---|---|
| gentoo gitweb ↗ | 1.3.3 | 2 | 13 h | details › |
| sage-on-gentoo GitHub ↗ | 1.3.3 | 1 | 10 d | details › |
Versions & arches
Use flags of 1.3.3
- +dsdp Use interior point library sci-libs/dsdp
- examples Install examples, usually source code
- fftw Use FFTW library for computing Fourier transforms
- +glpk Use GNU Linear Programming Kit sci-mathematics/glpk
- gsl Use the GNU scientific library for calculations
- doc Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
- test Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)
- debug Enable extra debug codepaths, like asserts and extra output. If you want to get meaningful backtraces see https://wiki.gentoo.org/wiki/Project:Quality_Assurance/Backtraces
3 expansion flags (python targets, ABIs, cpu flags…)
- python_targets_python3_12
- python_targets_python3_13
- python_targets_python3_14
Runtime dependencies of 1.3.3
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dsdp?
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fftw?
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glpk?
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gsl?
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python_targets_python3_12?
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python_targets_python3_13?
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python_targets_python3_14?
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