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Michael Ulbrich
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
- [j38]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) - [j37]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) - [j36]Michael Ulbrich, Julia Fritz:
On generalized Nash equilibrium problems in infinite-dimensional spaces using Nikaido-Isoda type functionals. Optim. Methods Softw. 39(4): 779-809 (2024) - [j35]Johannes Milz
Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization. SIAM J. Optim. 34(1): 844-869 (2024) - [j34]Andre Milzarek
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
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
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
A Continuous Perspective on Shape Optimization via Domain Transformations. SIAM J. Sci. Comput. 43(3): A1997-A2018 (2021) - 2020
- [j26]Johannes Milz
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
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
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
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
On the Analysis of the Discretized Kohn-Sham Density Functional Theory. SIAM J. Numer. Anal. 53(4): 1758-1785 (2015) - [j17]Michael Ulbrich
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
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
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
Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation. SIAM J. Sci. Comput. 35(3) (2013) - 2012
- [b3]Michael Ulbrich
Nichtlineare Optimierung. Mathematik Kompakt, Birkhäuser 2012, ISBN 978-3-0346-0142-9, pp. I-III, 1-148 - [c3]Frederik Deroo, Michael Ulbrich
Accelerated iterative distributed controller synthesis with a Barzilai-Borwein step size. CDC 2012: 4864-4870 - [p1]Christian Brandenburg, Florian Lindemann, Michael 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
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
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
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
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
Primal-dual interior-point methods for PDE-constrained optimization. Math. Program. 117(1-2): 435-485 (2009) - 2004
- [j8]Michael Ulbrich
A globally convergent primal-dual interior-point filter method for nonlinear programming. Math. Program. 100(2): 379-410 (2004) - [j7]Michael Hintermüller
A mesh-independence result for semismooth Newton methods. Math. Program. 101(1): 151-184 (2004) - 2003
- [j6]Michael 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
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
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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