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ORCIDMichael Ulbrich
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
[j37]Elisabeth Diehl, Johannes Haubner, Michael Ulbrich
, Stefan Ulbrich:
Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. 87(3): 711-751 (2024)- [j36]Elisabeth Diehl, Johannes Haubner, Michael Ulbrich, Stefan Ulbrich:
Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier-Stokes equations with surface tension. Comput. Optim. Appl. 87(3): 753-754 (2024) - [j35]Johannes Milz, Michael Ulbrich:
Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. SIAM J. Optim. 34(1): 844-869 (2024) - [j34]Andre Milzarek, Fabian Schaipp, Michael Ulbrich:
A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction. SIAM J. Optim. 34(1): 1157-1185 (2024) - [j33]Martin Brokate, Michael Ulbrich:
Corrigendum and Addendum: Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. SIAM J. Optim. 34(3): 3163-3166 (2024) - [i2]Johannes Haubner, Michael Ulbrich:
Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems. CoRR abs/2406.13379 (2024) - 2023
- [j32]Johannes Haubner, Franziska Neumann, Michael Ulbrich:
A Novel Density Based Approach for Topology Optimization of Stokes Flow. SIAM J. Sci. Comput. 45(2): 338- (2023) - [j31]Fabian Schaipp, Robert M. Gower, Michael Ulbrich:
A Stochastic Proximal Polyak Step Size. Trans. Mach. Learn. Res. 2023 (2023) - [i1]Fabian Schaipp, Robert M. Gower, Michael Ulbrich:
A Stochastic Proximal Polyak Step Size. CoRR abs/2301.04935 (2023) - 2022
- [j30]Johannes Milz, Michael Ulbrich:
An Approximation Scheme for Distributionally Robust PDE-Constrained Optimization. SIAM J. Control. Optim. 60(3): 1410-1435 (2022) - [j29]Martin Brokate, Michael Ulbrich:
Newton Differentiability of Convex Functions in Normed Spaces and of a Class of Operators. SIAM J. Optim. 32(2): 1265-1287 (2022) - [c4]Michael Eder, Sebastian Skibinski, Florian Mickler, Michael Ulbrich:
A Rigorous Optimization Approach for the Generic Derivation of Secondary Information from Digital Maps for Urban Scenarios. ITSC 2022: 4202-4208 - 2021
- [j28]Sebastian Garreis, Thomas M. Surowiec, Michael Ulbrich:
An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures. SIAM J. Optim. 31(1): 1-29 (2021) - [j27]Johannes Haubner, Martin Siebenborn, Michael Ulbrich:
A Continuous Perspective on Shape Optimization via Domain Transformations. SIAM J. Sci. Comput. 43(3): A1997-A2018 (2021) - 2020
- [j26]Johannes Milz, Michael Ulbrich:
An Approximation Scheme for Distributionally Robust Nonlinear Optimization. SIAM J. Optim. 30(3): 1996-2025 (2020)
2010 – 2019
- 2019
- [j25]Lukas Hertlein, Michael Ulbrich:
An Inexact Bundle Algorithm for Nonconvex Nonsmooth Minimization in Hilbert Space. SIAM J. Control. Optim. 57(5): 3137-3165 (2019) - [j24]Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich:
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29(4): 2916-2948 (2019) - 2017
- [j23]Sebastian Albrecht, Michael Ulbrich:
Mathematical programs with complementarity constraints in the context of inverse optimal control for locomotion. Optim. Methods Softw. 32(4): 670-698 (2017) - [j22]Michael Fischer, Florian Lindemann, Michael Ulbrich, Stefan Ulbrich:
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. 55(5): 3226-3257 (2017) - [j21]Sebastian Garreis, Michael Ulbrich:
Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs. SIAM J. Sci. Comput. 39(1) (2017) - 2015
- [j20]Moritz Keuthen, Michael Ulbrich:
Moreau-Yosida regularization in shape optimization with geometric constraints. Comput. Optim. Appl. 62(1): 181-216 (2015) - [j19]Florian Kruse, Michael Ulbrich:
A Self-Concordant Interior Point Approach for Optimal Control with State Constraints. SIAM J. Optim. 25(2): 770-806 (2015) - [j18]Xin Liu, Zaiwen Wen, Xiao Wang, Michael Ulbrich, Yaxiang Yuan:
On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. 53(4): 1758-1785 (2015) - [j17]Michael Ulbrich, Zaiwen Wen, Chao Yang, Dennis Klöckner, Zhaosong Lu:
A Proximal Gradient Method for Ensemble Density Functional Theory. SIAM J. Sci. Comput. 37(4) (2015) - [j16]Christian Boehm, Michael Ulbrich:
A Semismooth Newton-CG Method for Constrained Parameter Identification in Seismic Tomography. SIAM J. Sci. Comput. 37(5) (2015) - [j15]Frederik Deroo, Martin Meinel, Michael Ulbrich, Sandra Hirche:
Distributed Stability Tests for Large-Scale Systems With Limited Model Information. IEEE Trans. Control. Netw. Syst. 2(3): 298-309 (2015) - 2014
- [j14]Martin Meinel, Michael Ulbrich, Sebastian Albrecht:
A class of distributed optimization methods with event-triggered communication. Comput. Optim. Appl. 57(3): 517-553 (2014) - [j13]Andre Milzarek, Michael Ulbrich:
A Semismooth Newton Method with Multidimensional Filter Globalization for l1-Optimization. SIAM J. Optim. 24(1): 298-333 (2014) - 2013
- [j12]Zaiwen Wen, Andre Milzarek, Michael Ulbrich, Hongchao Zhang:
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. 35(3) (2013) - 2012
- [b3]Michael Ulbrich, Stefan Ulbrich:
Nichtlineare Optimierung. Mathematik Kompakt, Birkhäuser 2012, ISBN 978-3-0346-0142-9, pp. I-III, 1-148 - [c3]Frederik Deroo, Michael Ulbrich, Brian D. O. Anderson, Sandra Hirche:
Accelerated iterative distributed controller synthesis with a Barzilai-Borwein step size. CDC 2012: 4864-4870 - [p1]Christian Brandenburg, Florian Lindemann, Michael Ulbrich, Stefan Ulbrich:
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 2012: 257-275 - [e1]Günter Leugering, Sebastian Engell, Andreas Griewank, Michael Hinze, Rolf Rannacher, Volker Schulz, Michael Ulbrich, Stefan Ulbrich:
Constrained Optimization and Optimal Control for Partial Differential Equations. International series of numerical mathematics 160, Birkhäuser / Springer 2012, ISBN 978-3-0348-0132-4 [contents] - 2011
- [b2]Michael Ulbrich:
Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces. MOS-SIAM Series on Optimization 11, SIAM 2011, ISBN 978-1-611970-68-5, pp. I-XIV, 1-308 - [c2]Sebastian Albrecht, Karinne Ramirez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz:
Imitating human reaching motions using physically inspired optimization principles. Humanoids 2011: 602-607 - 2010
- [j11]Sonja Steffensen, Michael Ulbrich:
A New Relaxation Scheme for Mathematical Programs with Equilibrium Constraints. SIAM J. Optim. 20(5): 2504-2539 (2010) - [c1]Sebastian Albrecht, Carolina Passenberg, Marion Sobotka, Angelika Peer, Martin Buss, Michael Ulbrich:
Optimization Criteria for Human Trajectory Formation in Dynamic Virtual Environments. EuroHaptics (2) 2010: 257-262
2000 – 2009
- 2009
- [b1]Michael Hinze, René Pinnau, Michael Ulbrich, Stefan Ulbrich:
Optimization with PDE Constraints. Mathematical modelling 23, Springer 2009, ISBN 978-1-4020-8838-4, pp. I-XI, 1-270 - [j10]Martin Buss, Michael Ulbrich:
Fortschritte in der Optimalsteuerung. Autom. 57(6): 267-268 (2009) - [j9]Michael Ulbrich, Stefan Ulbrich:
Primal-dual interior-point methods for PDE-constrained optimization. Math. Program. 117(1-2): 435-485 (2009) - 2004
- [j8]Michael Ulbrich, Stefan Ulbrich, Luís Nunes Vicente:
A globally convergent primal-dual interior-point filter method for nonlinear programming. Math. Program. 100(2): 379-410 (2004) - [j7]Michael Hintermüller, Michael Ulbrich:
A mesh-independence result for semismooth Newton methods. Math. Program. 101(1): 151-184 (2004) - 2003
- [j6]Michael Ulbrich, Stefan Ulbrich:
Non-monotone trust region methods for nonlinear equality constrained optimization without a penalty function. Math. Program. 95(1): 103-135 (2003) - [j5]Michael Ulbrich:
Constrained optimal control of Navier-Stokes flow by semismooth Newton methods. Syst. Control. Lett. 48(3-4): 297-311 (2003) - 2002
- [j4]Michael Ulbrich:
Semismooth Newton Methods for Operator Equations in Function Spaces. SIAM J. Optim. 13(3): 805-841 (2002) - 2001
- [j3]Michael Ulbrich:
Nonmonotone Trust-Region Methods for Bound-Constrained Semismooth Equations with Applications to Nonlinear Mixed Complementarity Problems. SIAM J. Optim. 11(4): 889-917 (2001) - 2000
- [j2]Michael Ulbrich, Stefan Ulbrich:
Superlinear Convergence of Affine-Scaling Interior-Point Newton Methods for Infinite-Dimensional Nonlinear Problems with Pointwise Bounds. SIAM J. Control. Optim. 38(6): 1938-1984 (2000)
1990 – 1999
- 1999
- [j1]Matthias Heinkenschloss, Michael Ulbrich, Stefan Ulbrich:
Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption. Math. Program. 86(3): 615-635 (1999)
Coauthor Index
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