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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hmip-0.0.6.tar.gz | 11.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hmip-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / hmip-0.0.6.tar.gz
| Download URL | hmip-0.0.6.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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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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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7
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