Metadata-Version: 2.0
Name: conv-opt
Version: 0.0.10
Summary: conv_opt
Home-page: https://github.com/KarrLab/conv_opt
Author: Karr Lab
Author-email: karr@mssm.com
License: MIT
Download-URL: https://github.com/KarrLab/conv_opt
Description-Content-Type: UNKNOWN
Keywords: convex optimization,linear programming,quadratic programming
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: attrdict
Requires-Dist: capturer
Requires-Dist: cvxopt
Requires-Dist: cvxpy
Requires-Dist: cython
Requires-Dist: mock
Requires-Dist: optlang
Requires-Dist: quadprog
Requires-Dist: scipy
Requires-Dist: swiglpk
Requires-Dist: sympy
Provides-Extra: solver
Requires-Dist: cplex; extra == 'solver'
Requires-Dist: cylp; extra == 'solver'
Requires-Dist: gurobipy; extra == 'solver'
Requires-Dist: mosek; extra == 'solver'
Requires-Dist: xpress; extra == 'solver'

|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>`__,
`Mosek <https://www.mosek.com>`__,
`quadprog <https://github.com/rmcgibbo/quadprog>`__, and
`SciPy <https://docs.scipy.org>`__.

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

1. Install Python and pip
2. Install this package. This will install the package, as well as the
   CVXOPT, GLPK, quadprog, and SciPy solvers.
   ``pip install git+git://github.com/KarrLab/conv_opt#egg=conv_opt``
3. Optionally, install the Cbc/CyLP, FICO XPRESS, IBM CPLEX, Gurobi, and
   Mosek solvers. Please see our detailed
   `instructions <http://intro-to-wc-modeling.readthedocs.io/en/latest/installation.html>`__.

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

Please see the `API documentation <http://conv_opt.readthedocs.io>`__.

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
.. |Documentation| image:: https://readthedocs.org/projects/conv_opt/badge/?version=latest
   :target: http://conv_opt.readthedocs.org
.. |Test results| image:: https://circleci.com/gh/KarrLab/conv_opt.svg?style=shield
   :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
.. |Code analysis| image:: https://api.codeclimate.com/v1/badges/f61deab196a9dbf42555/maintainability
   :target: https://codeclimate.com/github/KarrLab/conv_opt
.. |License| image:: https://img.shields.io/github/license/KarrLab/conv_opt.svg
   :target: LICENSE
.. |Analytics| image:: https://ga-beacon.appspot.com/UA-86759801-1/conv_opt/README.md?pixel



