Hopfield-NLMIP
Solver for large scale nonlinear mixed integer problems. Work published as "Dual Hopfield Methods for Large-Scale Mixed-Integer Programming", B. Travacca, S. J. Moura, 2018 IEEE Conference on Decision and Control (CDC) [link]
Developed at eCAL, UC Berkeley.
Work funded by TOTAL.
Installation
pip install hmip
Running
import hmip
For examples of how to use the module, run the jupyter notebook and read the Wiki.
Contacts:
Mathilde Badoual: mathilde.badoual@berkeley.edu
Bertand Travacca: bertrand.travacca@berkeley.edu
1 maintainer
Metadata
1 maintainer
Release files for hmip 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hmip-0.0.6.tar.gz | 11.6 kB | Without provenance | Details for hmip-0.0.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hmip-0.0.6-py3-none-any.whl | Python 3 | none | any | Details for hmip-0.0.6-py3-none-any.whl |
Total release size: 24.3 kB
Release files / hmip-0.0.6.tar.gz
| Download URL | hmip-0.0.6.tar.gz |
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| Size | 11.6 kB |
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Release files / hmip-0.0.6-py3-none-any.whl
| Download URL | hmip-0.0.6-py3-none-any.whl |
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| Size | 12.6 kB |
| Tags | Python 3 |
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