conv-opt

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

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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.

Install Python and pip
Optionally, install the Cbc/CyLP, FICO XPRESS, IBM CPLEX, Gurobi, MINOS, Mosek, and SoPlex solvers. Please see our detailed instructions.
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]
```

The build utilities are released under the MIT license.

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

Please contact the Karr Lab with any questions or comments.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.13

May 28, 2021

0.0.12

Mar 14, 2019

0.0.10

Nov 30, 2017

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Uploaded May 28, 2021 Source

Uploaded May 28, 2021 Python 2 Python 3

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