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tvopt: A Python Framework for Time-Varying Optimization

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Welcome to tvopt Documentation Status

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

@article{bastianello_tvopt_2020,
	title = {tvopt: {A} {Python} {Framework} for {Time}-{Varying} {Optimization}},
	url = {http://arxiv.org/abs/2011.07119},
	journal = {arXiv:2011.07119 [cs, math]},
	author = {Bastianello, Nicola},
	year = {2020}
}

Author

tvopt is developed by Nicola Bastianello

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