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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

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

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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

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

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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

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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

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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

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