semvec/pypi-packages huggingface dataset:
conv-opt 0.0.13
High-level Python package for solving linear and quadratic optimization problems using multiple solvers
License: MIT
Keywords: convex optimization,linear programming,quadratic programming

|PyPI package| |Documentation| |Test results| |Test coverage| |Code
analysis| |License| |Analytics|

conv_opt
========

``conv_opt`` is a high-level Python package for solving linear and
quadratic optimization problems using multiple open-source and
commercials solvers including
`Cbc <https://projects.coin-or.org/cbc>`__,
`CVXOPT <http://cvxopt.org>`__, `FICO
XPRESS <http://www.fico.com/en/products/fico-xpress-optimization>`__,
`GLPK <https://www.gnu.org/software/glpk>`__,
`Gurobi <http://www.gurobi.com/products/gurobi-optimizer>`__, `IBM
CPLEX <https://www-01.ibm.com/software/commerce/optimization/cplex-optimizer>`__,
`MINOS <https://web.stanford.edu/group/SOL/minos.htm>`__,
`Mosek <https://www.mosek.com>`__,
`quadprog <https://github.com/rmcgibbo/quadprog>`__,
`SciPy <https://docs.scipy.org>`__, and
`SoPlex <http://soplex.zib.de>`__.

Installation
------------

1. Install Python and pip

2. Optionally, install the Cbc/CyLP, FICO XPRESS, IBM CPLEX, Gurobi,
   MINOS, Mosek, and SoPlex solvers. Please see our detailed
   `instructions <http://docs.karrlab.org/intro_to_wc_modeling/latest/installation.html>`__.

3. Install this package.

   -  Install the latest release from PyPI:

      ::

         pip install conv_opt

   -  Install the latest revision from GitHub:

      ::

         pip install git+https://github.com/KarrLab/conv_opt.git#egg=conv_opt

   -  Support for the optional solvers can be installed using the
      following options:

      ::

         pip install conv_opt[cbc,cplex,gurobi,minos,mosek,soplex,xpress]

Documentation
-------------

Please see the `API documentation <http://docs.karrlab.org/conv_opt>`__.

License
-------

The build utilities are released under the `MIT license <LICENSE>`__.

Development team
----------------

This package was developed by the `Karr Lab <http://www.karrlab.org>`__
at the Icahn School of Medicine at Mount Sinai in New York, USA.

Questions and comments
----------------------

Please contact the `Karr Lab <http://www.karrlab.org>`__ with any
questions or comments.

.. |PyPI package| image:: https://img.shields.io/pypi/v/conv_opt.svg
   :target: https://pypi.python.org/pypi/conv_opt
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   :target: http://docs.karrlab.org/conv_opt
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   :target: https://circleci.com/gh/KarrLab/conv_opt
.. |Test coverage| image:: https://coveralls.io/repos/github/KarrLab/conv_opt/badge.svg
   :target: https://coveralls.io/github/KarrLab/conv_opt
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   :target: https://codeclimate.com/github/KarrLab/conv_opt
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   :target: LICENSE
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