Welcome to tvopt 
Docs | Installation | Cite
tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization. The framework is modular, and provides different tools for modeling dynamic optimization problems and to solve them with a wide range of well known algorithms.
The documentation is available here.
Installation
tvopt works on Python 3.7 and depends on: numpy, scipy.
pip installation
pip install tvopt
Cite
@inproceedings{bastianello_tvopt_2021,
title = {tvopt: {A} {Python} {Framework} for {Time}-{Varying} {Optimization}},
doi = {10.1109/CDC45484.2021.9683695},
booktitle = {2021 60th {IEEE} {Conference} on {Decision} and {Control} ({CDC})},
author = {Bastianello, Nicola},
year = {2021},
pages = {227--232},
}
Author
tvopt is developed by Nicola Bastianello
1 maintainer
Metadata
1 maintainer
Release files for tvopt 0.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tvopt-0.2.7.tar.gz | 48.6 kB | Details |
Release files / tvopt-0.2.7.tar.gz
| Download URL | tvopt-0.2.7.tar.gz |
|---|---|
| Size | 48.6 kB |
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