KarrLab/conv_opt

conv_opt documentation
======================

:obj:`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 Optimizer <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 Optimizer <https://www.mosek.com>`_, `quadprog <https://github.com/rmcgibbo/quadprog>`_,
`SciPy <https://docs.scipy.org>`_, and `SoPlex <http://soplex.zib.de>`_.

Contents
--------

.. toctree::
   :maxdepth: 3
   :numbered:

   installation.rst
   features.rst
   tutorial.rst
   testing.rst
   API documentation <source/conv_opt.rst>
   about.rst
   references.rst