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CaΣoS is a nonlinear optimization-oriented sum-of-squares toolbox based on the symbolic framework of CasADi.

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CaΣoS, the nonlinear sum-of-squares optimization suite

CaΣoS provides tools for symbolic polynomial expressions, conic optimization, and parametrized (convex and nonconvex) sum-of-squares optimization, making use of the CasADi software for symbolic expressions, automatic differentiation, and numerical optimization. CaΣoS is developed by researchers at the Institute of Flight Mechanics and Controls of the University of Stuttgart and distributed open-source under the GPL-3.0 license.

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If you use CaΣoS, please cite us:

T. Cunis and J. Olucak, ‘CaΣoS: A nonlinear sum-of-squares optimization suite’, in 2025 American Control Conference, Boulder, CA. (To be presented July 2025.) doi: 10.48550/arXiv.2409.18549.

Bibtex entry
@inproceedings{Cunis2025acc,
	author = {Cunis, Torbjørn and Olucak, Jan},
	title = {Ca$\Sigma$oS}: A nonlinear sum-of-squares optimization suite},
	booktitle = {2025 American Control Conference},
	address = {Boulder, CA},
	doi = {10.48550/arXiv.2409.18549},
	note = {To be presented July 2025},
}

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CaΣoS is a nonlinear optimization-oriented sum-of-squares toolbox based on the symbolic framework of CasADi.

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