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
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]
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)
| File | Size | Uploaded | |
|---|---|---|---|
| conv_opt-0.0.13.tar.gz | 25.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | conv_opt-0.0.13.tar.gz |
|---|---|
| Size | 25.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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Release files / conv_opt-0.0.13-py2.py3-none-any.whl
| Download URL | conv_opt-0.0.13-py2.py3-none-any.whl |
|---|---|
| Size | 36.9 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.5
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