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Martin Brokate and Michael Ulbrich
Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators
SIAM Journal on Optimization
2024
34
3
3163-3166

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Ulbrich, Michael
Announcement: Howard Rosenbrock prize 2023
Optimization and Engineering
2024
25
3
1147-1149

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Haubner, Johannes;Ulbrich, Michael
Numerical methods for shape optimal design of fluid–structure interaction problems
Computer Methods in Applied Mechanics and Engineering
2024
432
117352

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Haubner, Johannes;Ulbrich, Michael
Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems
2024

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Milzarek, Andre;Schaipp, Fabian;Ulbrich, Michael
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
SIAM Journal on Optimization
2024
34
1
1157-1185

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Ulbrich, Michael;Fritz, Julia
On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido–Isoda type functionals
Optimization Methods and Software
2024
1-31

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Milz, Johannes;Ulbrich, Michael
Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization
SIAM Journal on Optimization
2024
34
1
844-869

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Schaipp, Fabian;Gower, Robert M.;Ulbrich, Michael
A Stochastic Proximal Polyak Step Size
Transactions on Machine Learning Research
2023

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Eder, Michael;Skibinski, Sebastian;Ulbrich, Michael
A rigorous deterministic global optimization approach for the derivation of secondary information in digital maps
Optimization and Engineering
2022
24
2
1225-1265

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Milzarek, Andre;Schaipp, Fabian;Ulbrich, Michael
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
2022