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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, CVXOPT, FICO XPRESS, GLPK, Gurobi, IBM CPLEX, MINOS, Mosek, quadprog, SciPy, and SoPlex.

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.

  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.

License

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.

Metadata

Release files for conv-opt 0.0.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for conv-opt 0.0.13
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Built distribution (wheel)

Table of built distributions (wheels) for conv-opt 0.0.13
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conv_opt-0.0.13-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 61.9 kB

Release files / conv_opt-0.0.13.tar.gz

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Release files / conv_opt-0.0.13-py2.py3-none-any.whl

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