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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.
tvopt works on Python 3.7 and depends on: numpy, scipy.
pip install tvopt
@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},
}
tvopt is developed by Nicola Bastianello