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cs.CE2022
Hermite-type modifications of BOBYQA for optimization with some partial derivatives
Mona Fuhrländer, Sebastian Schöps
In this work we propose two Hermite-type optimization methods, Hermite least squares and Hermite BOBYQA, specialized for the case that some partial derivatives of the objective fun…
cs.CE2021
Efficient yield optimization with limited gradient information
Mona Fuhrländer, Sebastian Schöps
In this work an efficient strategy for yield optimization with uncertain and deterministic optimization variables is presented. The gradient based adaptive Newton-Monte Carlo metho…