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ORCIDMartin Siebenborn
Person information
- affiliation: University of Hamburg, Germany
- affiliation (former): University of Trier, Trier, Germany
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2020 – today
- 2023
[j13]Peter Marvin Müller, José Pinzón
, Thomas Rung, Martin Siebenborn:
A Scalable Algorithm for Shape Optimization with Geometric Constraints in Banach Spaces. SIAM J. Sci. Comput. 45(2): 231- (2023)- 2021
- [j12]Martin Siebenborn, Julian Wagner:
A multigrid preconditioner for tensor product spline smoothing. Comput. Stat. 36(4): 2379-2411 (2021) - [j11]Niklas Kühl, Jörn Kröger, Martin Siebenborn, Michael Hinze, Thomas Rung:
Adjoint complement to the volume-of-fluid method for immiscible flows. J. Comput. Phys. 440: 110411 (2021) - [j10]Sofiya Onyshkevych, Martin Siebenborn:
Mesh Quality Preserving Shape Optimization Using Nonlinear Extension Operators. J. Optim. Theory Appl. 189(1): 291-316 (2021) - [j9]Johannes Haubner, Martin Siebenborn, Michael Ulbrich:
A Continuous Perspective on Shape Optimization via Domain Transformations. SIAM J. Sci. Comput. 43(3): A1997-A2018 (2021) - [i1]Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung:
A Novel $p$-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. CoRR abs/2103.14735 (2021)
2010 – 2019
- 2019
- [j8]Tommy Etling, Roland Herzog, Martin Siebenborn:
Optimum Experimental Design for Interface Identification Problems. SIAM J. Sci. Comput. 41(6): A3498-A3523 (2019) - 2018
- [j7]Martin Siebenborn:
A Shape Optimization Algorithm for Interface Identification Allowing Topological Changes. J. Optim. Theory Appl. 177(2): 306-328 (2018) - 2017
- [j6]Martin Siebenborn, Kathrin Welker:
Algorithmic Aspects of Multigrid Methods for Optimization in Shape Spaces. SIAM J. Sci. Comput. 39(6) (2017) - 2016
- [j5]Volker Schulz, Martin Siebenborn:
Computational Comparison of Surface Metrics for PDE Constrained Shape Optimization. Comput. Methods Appl. Math. 16(3): 485-496 (2016) - [j4]Volker H. Schulz, Martin Siebenborn, Kathrin Welker:
Efficient PDE Constrained Shape Optimization Based on Steklov-Poincaré-Type Metrics. SIAM J. Optim. 26(4): 2800-2819 (2016) - [p1]Lars Grasedyck, Christian Löbbert, Gabriel Wittum, Arne Nägel, Volker Schulz, Martin Siebenborn, Rolf Krause, Pietro Benedusi, Uwe Küster, Björn Dick:
Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations. Software for Exascale Computing 2016: 507-523 - 2015
- [j3]Arne Nägel, Volker Schulz, Martin Siebenborn, Gabriel Wittum:
Scalable shape optimization methods for structured inverse modeling in 3D diffusive processes. Comput. Vis. Sci. 17(2): 79-88 (2015) - [j2]Volker H. Schulz, Martin Siebenborn, Kathrin Welker:
Structured Inverse Modeling in Parabolic Diffusion Problems. SIAM J. Control. Optim. 53(6): 3319-3338 (2015) - [c2]Volker H. Schulz, Martin Siebenborn, Kathrin Welker:
PDE Constrained Shape Optimization as Optimization on Shape Manifolds. GSI 2015: 499-508 - 2013
- [c1]Martin Siebenborn, Volker Schulz:
GPU accelerated discontinuous Galerkin methods for Euler equations and its adjoint. SpringSim (HPC) 2013: 3 - 2012
- [j1]Martin Siebenborn, Volker Schulz, Stephan Schmidt:
A curved-element unstructured discontinuous Galerkin method on GPUs for the Euler equations. Comput. Vis. Sci. 15(2): 61-73 (2012)
Coauthor Index
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