Michael Ulbrich

Michael Ulbrich

Technische Universität München

H-index: 28

Europe-Germany

About Michael Ulbrich

Michael Ulbrich, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Optimization, Optimal Control, Numerical Optimization, Nonsmooth Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

A Novel Density Based Approach for Topology Optimization of Stokes Flow

A Stochastic Proximal Polyak Step Size

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

A semismooth Newton stochastic proximal point algorithm with variance reduction

Non-Smooth and Complementarity-Based Distributed Parameter Systems

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

Michael Ulbrich Information

University

Position

___

Citations(all)

5277

Citations(since 2020)

2041

Cited By

4031

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

53

i10Index(since 2020)

31

Email

University Profile Page

Technische Universität München

Google Scholar

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Michael Ulbrich Skills & Research Interests

Optimization

Optimal Control

Numerical Optimization

Nonsmooth Analysis

Top articles of Michael Ulbrich

Title

Journal

Author(s)

Publication Date

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

Computational Optimization and Applications

Elisabeth Diehl

Johannes Haubner

Michael Ulbrich

Stefan Ulbrich

2022/9/29

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

Optimization Methods and Software

Michael Ulbrich

Julia Fritz

2024/3/12

A Novel Density Based Approach for Topology Optimization of Stokes Flow

SIAM Journal on Scientific Computing

Johannes Haubner

Franziska Neumann

Michael Ulbrich

2023/4/30

A Stochastic Proximal Polyak Step Size

Transactions on Machine Learning Research

Fabian Schaipp

Robert M Gower

Michael Ulbrich

2023

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

Optimization and Engineering

Michael Eder

Sebastian Skibinski

Michael Ulbrich

2023/6

A semismooth Newton stochastic proximal point algorithm with variance reduction

arXiv preprint arXiv:2204.00406 (to appear in SIAM J. Optim., 2024)

Andre Milzarek

Fabian Schaipp

Michael Ulbrich

2022/4/1

Non-Smooth and Complementarity-Based Distributed Parameter Systems

Michael Hintermüller

Roland Herzog

Christian Kanzow

Michael Ulbrich

Stefan Ulbrich

2022

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

SIAM Journal on Optimization

Martin Brokate

Michael Ulbrich

2022

A Rigorous Optimization Approach for the Generic Derivation of Secondary Information from Digital Maps for Urban Scenarios

Michael Eder

Sebastian Skibinski

Florian Mickler

Michael Ulbrich

2022/10/8

An approximation scheme for distributionally robust PDE-constrained optimization

SIAM Journal on Control and Optimization

Johannes Milz

Michael Ulbrich

2022

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

Science China Mathematics

Andre Milzarek

Xiantao Xiao

Zaiwen Wen

Michael Ulbrich

2022/10

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

arXiv preprint arXiv:2207.14755 (to appear in SIAM J. Optim., 2024)

Johannes Milz

Michael Ulbrich

2022/7/29

An inexact bundle method and subgradient computations for optimal control of deterministic and stochastic obstacle problems

Lukas Hertlein

Anne-Therese Rauls

Michael Ulbrich

Stefan Ulbrich

2021/6/22

A continuous perspective on shape optimization via domain transformations

SIAM Journal on Scientific Computing

Johannes Haubner

Martin Siebenborn

Michael Ulbrich

2021

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

SIAM Journal on Optimization

Sebastian Garreis

Thomas M Surowiec

Michael Ulbrich

2021

OPTE special issue on PDE-constrained optimization

Michael Ulbrich

Boris Vexler

2021/12

Analysis of shape optimization problems for unsteady fluid-structure interaction

Inverse Problems

Johannes Haubner

Michael Ulbrich

Stefan Ulbrich

2020/2/5

MINLP-Based Routing for Electric Vehicles with Velocity Control in Networks with Inhomogeneous Charging Stations

Chris Löchel

Maximilian Cussigh

Michael Ulbrich

2020/11/3

A continuous perspective on modeling of shape optimal design problems

arXiv preprint arXiv:2004.06942

Johannes Haubner

Martin Siebenborn

Michael Ulbrich

2020/4/15

See List of Professors in Michael Ulbrich University(Technische Universität München)

Co-Authors

H-index: 66
Michael Beetz

Michael Beetz

Universität Bremen

H-index: 53
Sandra Hirche

Sandra Hirche

Technische Universität München

H-index: 47
Michael Hintermüller

Michael Hintermüller

Humboldt-Universität zu Berlin

H-index: 41
Michael Hinze

Michael Hinze

Universität Koblenz-Landau

H-index: 40
Luis Nunes Vicente

Luis Nunes Vicente

Lehigh University

H-index: 30
Zaiwen Wen

Zaiwen Wen

Peking University

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