M. Ulbrich

发表

Non-Monotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to No

M. Ulbrich, 1999 .

Global Convergence of Trust-Region Interior-Point Algorithms for Infinite-Dimensional Nonconvex Mini

M. Heinkenschloss, M. Ulbrich, S. Ulbrich, 1999 .

A Globally Convergent Primal-Dual Interior-Point Filter Method for Nonconvex Nonlinear Programming

L. Vicente, M. Ulbrich, S. Ulbrich, 2000 .

A globally convergent primal-dual interior-point filter method for nonlinear programming

Stefan Ulbrich, Michael Ulbrich, Luís N. Vicente, 2004, Math. Program..

Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption

Stefan Ulbrich, Michael Ulbrich, Matthias Heinkenschloss, 1999, Math. Program..

Nonsmooth Newton-like Methods for Variational Inequalities and Constrained Optimization Problems in

M. Ulbrich, 2001 .

An introduction to partial differential equations constrained optimization

M. Ulbrich, Bart van Bloemen Waanders, 2018, Optimization and Engineering.

An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization

M. Ulbrich, Johannes Milz, 2022, SIAM J. Control. Optim..

Existence of minimizers for optical flow based optimal control problems under mild regularity assumptions

M. Ulbrich, P. Jarde, 2019 .

Optimal control of unsteady compressible viscous flows

M. Heinkenschloss, M. Ulbrich, S. Ulbrich, 2002 .

The Nitsche Method of the Navier-Stokes Equations for Immersed and Moving Boundaries

M. Ulbrich, M. Ulbrich, M. Mehl, 2011 .

A Newton-CG Method for Full-Waveform Inversion in a Coupled Solid-Fluid System

M. Ulbrich, C. Boehm, 2013, CSE 2013.

Priority Programme 1962 An Inexact Bundle Algorithm for Nonconvex Nondifferentiable Functions in Hilbert Space

Michael Ulbrich, M. Ulbrich, Lukas Hertlein, 2022 .

Adjoint based optimal control of partially miscible two-phase flow in porous media with applications to CO2 sequestration in underground reservoirs

M. Ulbrich, M. Simon, 2015 .

An Inexact Trust-Region Algorithm for Constrained Problems in Hilbert Space and Its Application to the Adaptive Solution of Optimal Control Problems with PDEs

M. Ulbrich, Sebastian Garreis, 2019 .

A Fully Adaptive Method for the Optimal Control of Semilinear Elliptic PDEs Under Uncertainty Using Low-Rank Tensors

M. Ulbrich, Sebastian Garreis, 2019 .

A FULLY ADAPTIVE ALGORITHM FOR PDE-CONSTRAINED OPTIMAL CONTROLWITH ANDWITHOUT UNCERTAINTY , PART 1 : AN INEXACT TRUST-REGION ALGORITHM AND THE DETERMINISTIC CASE ∗

M. Ulbrich, Sebastian Garreis, 2019 .

A Multigrid Semismooth Newton Method for Contact Problems in Linear Elasticity

M. Ulbrich, S. Ulbrich, D. Koller, 2013 .

The Digital Revolution is coming to chemical laboratories

M. Ulbrich, 2019 .

A Proximal Gradient Method for Ensemble Density Functional Theory

Chao Yang, Michael Ulbrich, Zhaosong Lu, 2015, SIAM J. Sci. Comput..

1 Distributed estimation and control

M. Ulbrich, F. Wirth, B. Lohmann, 2022 .

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

M. Ulbrich, Johannes Milz, 2022, 2207.14755.

A CONTINUOUS PERSPECTIVE ON MODELING OF SHAPE

M. Ulbrich, M. Siebenborn, 2020 .

An Inexact Bundle Method and Subgradient Computations for Optimal Control of Deterministic and Stochastic Obstacle Problems

M. Ulbrich, S. Ulbrich, Lukas Hertlein, 2021, International Series of Numerical Mathematics.

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction

M. Ulbrich, A. Milzarek, Fabian Schaipp, 2022, 2204.00406.

Adjoint based optimal control of partially miscible two-phase flow in porous media with applications to CO2 sequestration in underground reservoirs

M. Ulbrich, M. Simon, 2014, Optimization and Engineering.

A bilevel optimization approach to obtain optimal cost functions for human arm movements

Michael Ulbrich, Sebastian Albrecht, Marion Leibold, 2012 .

Analysis of shape optimization problems for unsteady fluid-structure interaction

Stefan Ulbrich, Michael Ulbrich, Johannes Haubner, 2020, Inverse Problems.

Fréchet Differentiability of Unsteady Incompressible Navier-Stokes Flow with Respect to Domain Variations of Low Regularity by Using a General Analytical Framework

Stefan Ulbrich, Michael Ulbrich, Michael Fischer, 2017, SIAM J. Control. Optim..

A Generalized Tikhonov Regularization for Nonlinear Inverse Ill-Posed Problems

M. Ulbrich, 1998 .

Advanced Numerical Methods for PDE Constrained Optimization with Application to Optimal Design in Navier Stokes Flow

Stefan Ulbrich, Michael Ulbrich, Florian Lindemann, 2012, Constrained Optimization and Optimal Control for Partial Differential Equations.

Optimal Control of Partially Miscible Two-Phase Flow with Applications to Subsurface CO2 Sequestration

Michael Ulbrich, Moritz Simon, M. Ulbrich, 2013 .

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

M. Ulbrich, S. Ulbrich, J. Haubner, 2020, Computational Optimization and Applications.

Immersed Boundary Methods for Fluid-Structure Interaction and Shape Optimization within an FEM-Based PDE Toolbox

Michael Ulbrich, Hans-Joachim Bungartz, Miriam Mehl, 2013 .

A Continuous Adjoint Approach to Shape Optimization for Navier Stokes Flow

Stefan Ulbrich, Michael Ulbrich, Florian Lindemann, 2009 .

Nonmonotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to Nonlinear Mixed Complementarity Problems

Michael Ulbrich, M. Ulbrich, 2000, SIAM J. Optim..

Optimization with PDE Constraints

Stefan Ulbrich, Michael Ulbrich, René Pinnau, 2008, Mathematical modelling.

A New Relaxation Scheme for Mathematical Programs with Equilibrium Constraints

M. Ulbrich, S. Steffensen, 2010, SIAM J. Optim..

Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces

Michael Ulbrich, M. Ulbrich, 2011, MOS-SIAM Series on Optimization.

Automatic Differentiation: A Structure-Exploiting Forward Mode with Almost Optimal Complexity for Kantorovič Trees

Stefan Ulbrich, Michael Ulbrich, M. Ulbrich, 1996 .

A Globally Convergent Primal-Dual Interior-Point Filter Method for Nonconvex Nonlinear Programming

L. Vicente, M. Ulbrich, S. Ulbrich, 2000 .

A mesh-independence result for semismooth Newton methods

Michael Ulbrich, Michael Hintermüller, M. Ulbrich, 2004, Math. Program..

Semismooth Newton Methods for Operator Equations in Function Spaces

Michael Ulbrich, M. Ulbrich, 2002, SIAM J. Optim..

Superlinear Convergence of Affine-Scaling Interior-Point Newton Methods for Infinite-Dimensional Nonlinear Problems with Pointwise Bounds

Stefan Ulbrich, Michael Ulbrich, M. Ulbrich, 2000, SIAM J. Control. Optim..

Towards adjoint-based methods for aeroacoustic control

Stefan Ulbrich, Michael Ulbrich, S. Scott Collis, 2001 .

Numerical Solution of Optimal Control Problems Governed by the Compressible Navier-Stokes Equations

Stefan Ulbrich, Michael Ulbrich, S. Scott Collis, 2001 .

Moreau–Yosida regularization in shape optimization with geometric constraints

Michael Ulbrich, Moritz Keuthen, M. Ulbrich, 2015, Comput. Optim. Appl..

A Stochastic Proximal Polyak Step Size

Robert Mansel Gower, M. Ulbrich, Fabian Schaipp, 2023, Trans. Mach. Learn. Res..

A Continuous Perspective on Shape Optimization via Domain Transformations

Martin Siebenborn, M. Ulbrich, J. Haubner, 2021, SIAM J. Sci. Comput..

A Semismooth Newton-CG Method for Constrained Parameter Identification in Seismic Tomography

Michael Ulbrich, Christian Boehm, M. Ulbrich, 2015, SIAM J. Sci. Comput..

Imitating human reaching motions using physically inspired optimization principles

Michael Ulbrich, Sebastian Albrecht, Michael Beetz, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

On the Analysis of the Discretized Kohn-Sham Density Functional Theory

Michael Ulbrich, Xiao Wang, Xin Liu, 2014, SIAM J. Numer. Anal..

Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation

Michael Ulbrich, Hongchao Zhang, Zaiwen Wen, 2013, SIAM J. Sci. Comput..

Mathematical programs with complementarity constraints in the context of inverse optimal control for locomotion

Michael Ulbrich, Sebastian Albrecht, M. Ulbrich, 2017, Optim. Methods Softw..

A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization

Michael Ulbrich, Andre Milzarek, M. Ulbrich, 2014, SIAM J. Optim..

Distributed Stability Tests for Large-Scale Systems With Limited Model Information

Michael Ulbrich, Sandra Hirche, Frederik Deroo, 2015, IEEE Transactions on Control of Network Systems.

Distributed control design with local model information and guaranteed stability

Michael Ulbrich, Sandra Hirche, Frederik Deroo, 2014 .

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

M. Ulbrich, Michael Eder, Sebastian Skibinski, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

AN INTERIOR-POINT APPROACH FOR SOLVING RISK-AVERSE 1 PDE-CONSTRAINED OPTIMIZATION PROBLEMS WITH 2 COHERENT RISK MEASURES

Michael Ulbrich, Thomas M. Surowiec, Sebastian Garreis, 2019 .

A Self-Concordant Interior Point Approach for Optimal Control with State Constraints

Michael Ulbrich, Florian Kruse, M. Ulbrich, 2015, SIAM J. Optim..

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

M. Ulbrich, M. Brokate, 2022, SIAM J. Optim..

Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs

Michael Ulbrich, Sebastian Garreis, M. Ulbrich, 2017, SIAM J. Sci. Comput..

Distributed controller design for a class of sparse singular systems with privacy constraints

Michael Ulbrich, Sandra Hirche, Brian D. O. Anderson, 2013 .

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

M. Ulbrich, Johannes Milz, 2022, 2207.14755.

An Approximation Scheme for Distributionally Robust Nonlinear Optimization

Michael Ulbrich, Johannes Milz, M. Ulbrich, 2020, SIAM J. Optim..

Primal-dual interior-point methods for PDE-constrained optimization

Stefan Ulbrich, Michael Ulbrich, M. Ulbrich, 2008, Math. Program..

An Inexact Bundle Algorithm for Nonconvex Nonsmooth Minimization in Hilbert Space

Michael Ulbrich, Lukas Hertlein, M. Ulbrich, 2019, SIAM J. Control. Optim..

A mesh-independence result for semismooth Newton methods

M. Ulbrich, M. Hintermüller, 2004, Math. Program..

On a Nonsmooth Newton Method for Nonlinear Complementarity Problems in Function Space with Applications to Optimal Control

Michael Ulbrich, M. Ulbrich, 2000 .

A class of distributed optimization methods with event-triggered communication

Michael Ulbrich, Sebastian Albrecht, Martin Meinel, 2013, Computational Optimization and Applications.

A Multigrid Semismooth Newton Method for Semilinear Contact Problems

Stefan Ulbrich, Michael Ulbrich, M. Ulbrich, 2017 .

AN INTRODUCTION TO THE A POSTERIORI ERROR ANALYSIS OF ELLIPTIC OPTIMAL CONTROL PROBLEMS

R. Glowinski, J. Lions, R. Hoppe, 2009 .

Constrained optimal control of Navier-Stokes flow by semismooth Newton methods

Michael Ulbrich, M. Ulbrich, 2003, Syst. Control. Lett..

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

M. Ulbrich, Johannes Milz, 2022, 2207.14755.

Moreau–Yosida regularization in shape optimization with geometric constraints

M. Ulbrich, M. Keuthen, 2014, Computational Optimization and Applications.

Modeling and Analysis of Human Navigation with Crossing Interferer Using Inverse Optimal Control

Michael Ulbrich, Sebastian Albrecht, Stefan Glasauer, 2012 .

Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function

Stefan Ulbrich, Michael Ulbrich, M. Ulbrich, 2003, Math. Program..

A Novel Density Based Approach for Topology Optimization of Stokes Flow

M. Ulbrich, Johannes Haubner, Franziska Neumann, 2023, SIAM J. Sci. Comput..

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization

Michael Ulbrich, Zaiwen Wen, Andre Milzarek, 2018, SIAM J. Optim..

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

M. Ulbrich, S. Ulbrich, Elisabeth Diehl, 2020, Comput. Optim. Appl..