dMO
dMO is a JAX-powered differentiable cutting-plane algorithm for mixed-integer linear optimization
Citing
Please cite this paper if you work with dMO
@article{differentiablecp_2023,
title = {Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization},
author = {Dragotto, Gabriele and Clarke, Stefan and Fernández Fisac, Jaime and Stellato, Bartolomeo},
year = 2023,
journal = {arXiv},
volume = {2311.03350},
url = {https://arxiv.org/abs/2311.03350}
}
Release files for dMO 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dmo-0.0.1.tar.gz | 3.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dmo-0.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 5.3 kB
Release files / dmo-0.0.1.tar.gz
| Download URL | dmo-0.0.1.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
Release files / dmo-0.0.1-py2.py3-none-any.whl
| Download URL | dmo-0.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
