Michael Ulbrich

Full Professor and Chair of Mathematical Optimization

Ludwig-Maximilians-Universität München

Germany

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Michael Ulbrich is a Full Professor and Chair of Mathematical Optimization at Technische Universität München, Germany. His research interests include numerical methods for fluid-structure interaction, optimal control of Navier-Stokes equations, and PDE-constrained optimization. He has published extensively on topics such as Nash equilibrium problems, optimization approaches for digital maps, and computational methods in topology optimization.

Articles (15)

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (3)

Stefan Ulbrich

Professor

Technische Universität Darmstadt

GERMANY

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Johannes Milz

Assistant Professor

Georgia Institute of Technology

UNITED STATES

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Thomas Surowiec

Chief Research Scientist

Simula Research Laboratory

NORWAY

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Michael Ulbrich

Research Interests

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About

Articles (15)

Numerical methods for shape optimal design of fluid–structure interaction problems

Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization

On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido–Isoda type functionals

A rigorous deterministic global optimization approach for the derivation of secondary information in digital maps

A Novel Density Based Approach for Topology Optimization of Stokes Flow

An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization

Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators

On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization

Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension

OPTE special issue on PDE-constrained optimization

An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures

An interior-point approach for solving risk-averse PDE-constrained optimization problems with coherent risk measures

A continuous perspective on shape optimization via domain transformations

Analysis of shape optimization problems for unsteady fluid-structure interaction

An approximation scheme for distributionally robust nonlinear optimization

Collaborators (3)

Stefan Ulbrich

Johannes Milz

Thomas Surowiec

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