tvopt 0.2.4

tvopt: A Python Framework for Time-Varying Optimization

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