Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption. - Matthias Heinkenschloss; Michael Ulbrich; Stefan Ulbrich (Math. Program., 1999)

Superlinear Convergence of Affine-Scaling Interior-Point Newton Methods for Infinite-Dimensional Nonlinear Problems with Pointwise Bounds. - Michael Ulbrich; Stefan Ulbrich (SIAM J. Control. Optim., 2000)

Nonmonotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to Nonlinear Mixed Complementarity Problems. - Michael Ulbrich (SIAM J. Optim., 2001)

Semismooth Newton Methods for Operator Equations in Function Spaces. - Michael Ulbrich (SIAM J. Optim., 2002)

Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function. - Michael Ulbrich; Stefan Ulbrich (Math. Program., 2003)

Constrained optimal control of Navier-Stokes flow by semismooth Newton methods. - Michael Ulbrich (Syst. Control. Lett., 2003)

A mesh-independence result for semismooth Newton methods. - Michael Hintermüller; Michael Ulbrich (Math. Program., 2004)

A globally convergent primal-dual interior-point filter method for nonlinear programming. - Michael Ulbrich; Stefan Ulbrich; Luís Nunes Vicente (Math. Program., 2004)

Optimization with PDE Constraints. - Michael Hinze; René Pinnau; Michael Ulbrich; Stefan Ulbrich (Springer, 2009)

Fortschritte in der Optimalsteuerung. - Martin Buss; Michael Ulbrich (Autom., 2009)

Primal-dual interior-point methods for PDE-constrained optimization. - Michael Ulbrich; Stefan Ulbrich (Math. Program., 2009)

Optimization Criteria for Human Trajectory Formation in Dynamic Virtual Environments. - Sebastian Albrecht 001; Carolina Passenberg; Marion Sobotka; Angelika Peer; Martin Buss; Michael Ulbrich (EuroHaptics (2), 2010)

A New Relaxation Scheme for Mathematical Programs with Equilibrium Constraints. - Sonja Steffensen; Michael Ulbrich (SIAM J. Optim., 2010)

Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces. - Michael Ulbrich (SIAM, 2011)

Imitating human reaching motions using physically inspired optimization principles. - Sebastian Albrecht 001; Karinne Ramirez-Amaro; Federico Ruiz-Ugalde; David Weikersdorfer; Marion Leibold; Michael Ulbrich; Michael Beetz (Humanoids, 2011)

Nichtlineare Optimierung. - Michael Ulbrich; Stefan Ulbrich (Birkhäuser, 2012)

Advanced Numerical Methods for PDE Constrained Optimization with Application to Optimal Design in Navier Stokes Flow. - Christian Brandenburg; Florian Lindemann; Michael Ulbrich; Stefan Ulbrich (Constrained Optimization and Optimal Control for Partial Differential Equations, 2012)

Accelerated iterative distributed controller synthesis with a Barzilai-Borwein step size. - Frederik Deroo; Michael Ulbrich; Brian D. O. Anderson; Sandra Hirche (CDC, 2012)

Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. - Zaiwen Wen; Andre Milzarek; Michael Ulbrich; Hongchao Zhang (SIAM J. Sci. Comput., 2013)

A class of distributed optimization methods with event-triggered communication. - Martin Meinel; Michael Ulbrich; Sebastian Albrecht 001 (Comput. Optim. Appl., 2014)

A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization. - Andre Milzarek; Michael Ulbrich (SIAM J. Optim., 2014)

Moreau-Yosida regularization in shape optimization with geometric constraints. - Moritz Keuthen; Michael Ulbrich (Comput. Optim. Appl., 2015)

A Self-Concordant Interior Point Approach for Optimal Control with State Constraints. - Florian Kruse; Michael Ulbrich (SIAM J. Optim., 2015)

On the Analysis of the Discretized Kohn-Sham Density Functional Theory. - Xin Liu 001; Zaiwen Wen; Xiao Wang; Michael Ulbrich; Yaxiang Yuan (SIAM J. Numer. Anal., 2015)

A Semismooth Newton-CG Method for Constrained Parameter Identification in Seismic Tomography. - Christian Boehm; Michael Ulbrich (SIAM J. Sci. Comput., 2015)

A Proximal Gradient Method for Ensemble Density Functional Theory. - Michael Ulbrich; Zaiwen Wen; Chao Yang 001; Dennis Klöckner; Zhaosong Lu (SIAM J. Sci. Comput., 2015)

Distributed Stability Tests for Large-Scale Systems With Limited Model Information. - Frederik Deroo; Martin Meinel; Michael Ulbrich; Sandra Hirche (IEEE Trans. Control. Netw. Syst., 2015)

Mathematical programs with complementarity constraints in the context of inverse optimal control for locomotion. - Sebastian Albrecht 001; Michael Ulbrich (Optim. Methods Softw., 2017)

Fréchet Differentiability of Unsteady Incompressible Navier-Stokes Flow with Respect to Domain Variations of Low Regularity by Using a General Analytical Framework. - Michael Fischer 006; Florian Lindemann; Michael Ulbrich; Stefan Ulbrich (SIAM J. Control. Optim., 2017)

Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs. - Sebastian Garreis; Michael Ulbrich (SIAM J. Sci. Comput., 2017)

An Inexact Bundle Algorithm for Nonconvex Nonsmooth Minimization in Hilbert Space. - Lukas Hertlein; Michael Ulbrich (SIAM J. Control. Optim., 2019)

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. - Andre Milzarek; Xiantao Xiao; Shicong Cen; Zaiwen Wen; Michael Ulbrich (SIAM J. Optim., 2019)

An Approximation Scheme for Distributionally Robust Nonlinear Optimization. - Johannes Milz; Michael Ulbrich (SIAM J. Optim., 2020)

An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures. - Sebastian Garreis; Thomas M. Surowiec; Michael Ulbrich (SIAM J. Optim., 2021)

A Continuous Perspective on Shape Optimization via Domain Transformations. - Johannes Haubner; Martin Siebenborn; Michael Ulbrich (SIAM J. Sci. Comput., 2021)

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 (ITSC, 2022)

An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization. - Johannes Milz; Michael Ulbrich (SIAM J. Control. Optim., 2022)

Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. - Martin Brokate; Michael Ulbrich (SIAM J. Optim., 2022)

A Stochastic Proximal Polyak Step Size. - Fabian Schaipp; Robert M. Gower; Michael Ulbrich (Trans. Mach. Learn. Res., 2023)

A Novel Density Based Approach for Topology Optimization of Stokes Flow. - Johannes Haubner; Franziska Neumann; Michael Ulbrich (SIAM J. Sci. Comput., 2023)

Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems. - Johannes Haubner; Michael Ulbrich (CoRR, 2024)

On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido-Isoda type functionals. - Michael Ulbrich; Julia Fritz (Optim. Methods Softw., 2024)

Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. - Martin Brokate; Michael Ulbrich (SIAM J. Optim., 2024)

Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. - Johannes Milz; Michael Ulbrich (SIAM J. Optim., 2024)

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. - Andre Milzarek; Fabian Schaipp; Michael Ulbrich (SIAM J. Optim., 2024)

Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. - Elisabeth Diehl; Johannes Haubner; Michael Ulbrich; Stefan Ulbrich (Comput. Optim. Appl., 2024)

Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. - Elisabeth Diehl; Johannes Haubner; Michael Ulbrich; Stefan Ulbrich (Comput. Optim. Appl., 2024)