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

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

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

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

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

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

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

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

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

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