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High-level Python package for solving linear and quadratic optimization problems using multiple solvers

Project description

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conv_opt is a high-level Python package for solving linear and quadratic optimization problems using multiple open-source and commercials solvers including Cbc, CVXOPT, FICO XPRESS, GLPK, Gurobi, IBM CPLEX, MINOS, Mosek, quadprog, SciPy, and SoPlex.


  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.

  3. Install this package.

    • Install the latest release from PyPI:

      pip install conv_opt
    • Install the latest revision from GitHub:

      pip install git+
    • Support for the optional solvers can be installed using the following options:

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


Please see the API documentation.


The build utilities are released under the MIT license.

Development team

This package was developed by the Karr Lab at the Icahn School of Medicine at Mount Sinai in New York, USA.

Questions and comments

Please contact the Karr Lab with any questions or comments.

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