https://github.com/karrlab/conv_opt

Python package for linear and quadratic programming
https://github.com/karrlab/conv_opt

convex-optimization linear-programming python quadratic-programming

Last synced: 3 days ago
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Python package for linear and quadratic programming

• Host: GitHub
• URL: https://github.com/karrlab/conv_opt
• Owner: KarrLab
• License: mit
• Created: 2017-11-21T18:34:02.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-05-28T16:45:54.000Z (about 4 years ago)
• Last Synced: 2025-05-23T11:32:34.383Z (about 1 month ago)
• Topics: convex-optimization, linear-programming, python, quadratic-programming
• Language: Python
• Size: 166 KB
• Stars: 9
• Watchers: 7
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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](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.