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

Milz, Johannes;Ulbrich, Michael
Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization
2022

Diehl, Elisabeth;Haubner, Johannes;Ulbrich, Michael;Ulbrich, Stefan
Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension
Computational Optimization and Applications
2022

Milz, Johannes;Ulbrich, Michael
An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization
SIAM Journal on Control and Optimization
2022
60
3
1410-1435

Brokate, Martin;Ulbrich, Michael
Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators
SIAM Journal on Optimization
2022
32
2
1265-1287

Milzarek, Andre;Xiao, Xiantao;Wen, Zaiwen;Ulbrich, Michael
On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization
Science China Mathematics
2022
65
10
2151-2170

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

Hertlein, Lukas Alexander
Inexact bundle methods in Hilbert space with applications to optimal control problems governed by variational inequalities
2022
Dissertation
172 p.