Michael Ulbrich

50 papers Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Approximating Volumetric Shape Gradients for Shape Optimization with Curved Boundaries Constrained by Parabolic PDEs. SIAM J. Numer. Anal. Leonardo Mutti, Michael Ulbrich
2024	J	`jnl`	A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. SIAM J. Optim. Andre Milzarek, Fabian Schaipp, Michael Ulbrich
2024	J	`jnl`	Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich
2024	J	`jnl`	Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. SIAM J. Optim. Martin Brokate, Michael Ulbrich
2024	J	`jnl`	Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich
2024	J	`jnl`	Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems. CoRR Johannes Haubner, Michael Ulbrich
2024	J	`jnl`	On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido-Isoda type functionals. Optim. Methods Softw. Michael Ulbrich, Julia Fritz
2024	J	`jnl`	Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. SIAM J. Optim. Johannes Milz, Michael Ulbrich
2023	J	`jnl`	A Novel Density Based Approach for Topology Optimization of Stokes Flow. SIAM J. Sci. Comput. Johannes Haubner, Franziska Neumann, Michael Ulbrich
2023	J	`jnl`	A Stochastic Proximal Polyak Step Size. CoRR Fabian Schaipp, Robert M. Gower, Michael Ulbrich
2023	J	`jnl`	A Stochastic Proximal Polyak Step Size. Trans. Mach. Learn. Res. Fabian Schaipp, Robert M. Gower, Michael Ulbrich
2022	—	`conf`	A Rigorous Optimization Approach for the Generic Derivation of Secondary Information from Digital Maps for Urban Scenarios. ITSC Michael Eder, Sebastian Skibinski, Florian Mickler, Michael Ulbrich
2022	J	`jnl`	An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization. SIAM J. Control. Optim. Johannes Milz, Michael Ulbrich
2022	J	`jnl`	Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. SIAM J. Optim. Martin Brokate, Michael Ulbrich
2021	J	`jnl`	A Continuous Perspective on Shape Optimization via Domain Transformations. SIAM J. Sci. Comput. Johannes Haubner, Martin Siebenborn, Michael Ulbrich
2021	J	`jnl`	An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures. SIAM J. Optim. Sebastian Garreis, Thomas M. Surowiec, Michael Ulbrich
2020	J	`jnl`	An Approximation Scheme for Distributionally Robust Nonlinear Optimization. SIAM J. Optim. Johannes Milz, Michael Ulbrich
2019	J	`jnl`	A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich
2019	J	`jnl`	An Inexact Bundle Algorithm for Nonconvex Nonsmooth Minimization in Hilbert Space. SIAM J. Control. Optim. Lukas Hertlein, Michael Ulbrich
2017	J	`jnl`	Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs. SIAM J. Sci. Comput. Sebastian Garreis, Michael Ulbrich
2017	J	`jnl`	Fréchet Differentiability of Unsteady Incompressible Navier-Stokes Flow with Respect to Domain Variations of Low Regularity by Using a General Analytical Framework. SIAM J. Control. Optim. Michael Fischer, Florian Lindemann, Michael Ulbrich, Stefan Ulbrich
2017	J	`jnl`	Mathematical programs with complementarity constraints in the context of inverse optimal control for locomotion. Optim. Methods Softw. Sebastian Albrecht, Michael Ulbrich
2015	J	`jnl`	A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu
2015	J	`jnl`	A Self-Concordant Interior Point Approach for Optimal Control with State Constraints. SIAM J. Optim. Florian Kruse, Michael Ulbrich
2015	J	`jnl`	A Semismooth Newton-CG Method for Constrained Parameter Identification in Seismic Tomography. SIAM J. Sci. Comput. Christian Boehm, Michael Ulbrich
2015	J	`jnl`	Distributed Stability Tests for Large-Scale Systems With Limited Model Information. IEEE Trans. Control. Netw. Syst. Frederik Deroo, Martin Meinel, Michael Ulbrich, Sandra Hirche
2015	J	`jnl`	Moreau-Yosida regularization in shape optimization with geometric constraints. Comput. Optim. Appl. Moritz Keuthen, Michael Ulbrich
2015	J	`jnl`	On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan
2014	J	`jnl`	A Semismooth Newton Method with Multidimensional Filter Globalization for l SIAM J. Optim. Andre Milzarek, Michael Ulbrich
2014	J	`jnl`	A class of distributed optimization methods with event-triggered communication. Comput. Optim. Appl. Martin Meinel, Michael Ulbrich, Sebastian Albrecht
2013	J	`jnl`	Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. Zaiwen Wen, Andre Milzarek, Michael Ulbrich, Hongchao Zhang
2012	—	`conf`	Accelerated iterative distributed controller synthesis with a Barzilai-Borwein step size. CDC Frederik Deroo, Michael Ulbrich, Brian D. O. Anderson, Sandra Hirche
2012	—	`ch.`	Advanced Numerical Methods for PDE Constrained Optimization with Application to Optimal Design in Navier Stokes Flow. Constrained Optimization and Optimal Control for Partial Differential Equations Christian Brandenburg, Florian Lindemann, Michael Ulbrich, Stefan Ulbrich
2012	—	`book`	Constrained Optimization and Optimal Control for Partial Differential Equations Günter Leugering, Sebastian Engell, Andreas Griewank, Michael Hinze, Rolf Rannacher, Volker Schulz, Michael Ulbrich, Stefan Ulbrich
2012	—	`book`	Nichtlineare Optimierung. Michael Ulbrich, Stefan Ulbrich
2011	—	`conf`	Imitating human reaching motions using physically inspired optimization principles. Humanoids Sebastian Albrecht, Karinne Ramírez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz
2011	—	`book`	Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces. Michael Ulbrich
2010	J	`jnl`	A New Relaxation Scheme for Mathematical Programs with Equilibrium Constraints. SIAM J. Optim. Sonja Steffensen, Michael Ulbrich
2010	—	`conf`	Optimization Criteria for Human Trajectory Formation in Dynamic Virtual Environments. EuroHaptics (2) Sebastian Albrecht, Carolina Passenberg, Marion Sobotka, Angelika Peer, Martin Buss, Michael Ulbrich
2009	J	`jnl`	Fortschritte in der Optimalsteuerung. Autom. Martin Buss, Michael Ulbrich
2009	—	`book`	Optimization with PDE Constraints. Michael Hinze, René Pinnau, Michael Ulbrich, Stefan Ulbrich
2009	J	`jnl`	Primal-dual interior-point methods for PDE-constrained optimization. Math. Program. Michael Ulbrich, Stefan Ulbrich
2004	J	`jnl`	A globally convergent primal-dual interior-point filter method for nonlinear programming. Math. Program. Michael Ulbrich, Stefan Ulbrich, Luís Nunes Vicente
2004	J	`jnl`	A mesh-independence result for semismooth Newton methods. Math. Program. Michael Hintermüller, Michael Ulbrich
2003	J	`jnl`	Constrained optimal control of Navier-Stokes flow by semismooth Newton methods. Syst. Control. Lett. Michael Ulbrich
2003	J	`jnl`	Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function. Math. Program. Michael Ulbrich, Stefan Ulbrich
2002	J	`jnl`	Semismooth Newton Methods for Operator Equations in Function Spaces. SIAM J. Optim. Michael Ulbrich
2001	J	`jnl`	Nonmonotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to Nonlinear Mixed Complementarity Problems. SIAM J. Optim. Michael Ulbrich
2000	J	`jnl`	Superlinear Convergence of Affine-Scaling Interior-Point Newton Methods for Infinite-Dimensional Nonlinear Problems with Pointwise Bounds. SIAM J. Control. Optim. Michael Ulbrich, Stefan Ulbrich
1999	J	`jnl`	Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption. Math. Program. Matthias Heinkenschloss, Michael Ulbrich, Stefan Ulbrich