Optimization methods

Development of nonlinear optimization algorithms.

Overview

We design and analyze algorithms for nonlinear and/or decomposed optimization for control and verification of complex cyber-physical systems. In particular, we focus on nonlinear sum-of-squares problems and bilevel optimization schemes.

Sequential sum-of-squares programming outperforms previous, iterative methods in computation time and cost. ©2022 by Cunis & Legat.
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