Martin Siebenborn

According to our database, Martin Siebenborn authored at least 17 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Scalable Algorithm for Shape Optimization with Geometric Constraints in Banach Spaces.

Peter Marvin Müller, José Pinzón, Thomas Rung, Martin Siebenborn

SIAM J. Sci. Comput., April, 2023

2021

A Continuous Perspective on Shape Optimization via Domain Transformations.

Johannes Haubner, Martin Siebenborn, Michael Ulbrich

SIAM J. Sci. Comput., 2021

Mesh Quality Preserving Shape Optimization Using Nonlinear Extension Operators.

Sofiya Onyshkevych, Martin Siebenborn

J. Optim. Theory Appl., 2021

Adjoint complement to the volume-of-fluid method for immiscible flows.

Niklas Kühl, Jörn Kröger, Martin Siebenborn, Michael Hinze, Thomas Rung

J. Comput. Phys., 2021

A multigrid preconditioner for tensor product spline smoothing.

Martin Siebenborn, Julian Wagner

Comput. Stat., 2021

A Novel $p$-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization.

Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung

CoRR, 2021

2019

Optimum Experimental Design for Interface Identification Problems.

Tommy Etling, Roland Herzog, Martin Siebenborn

SIAM J. Sci. Comput., 2019

2018

A Shape Optimization Algorithm for Interface Identification Allowing Topological Changes.

Martin Siebenborn

J. Optim. Theory Appl., 2018

2017

Algorithmic Aspects of Multigrid Methods for Optimization in Shape Spaces.

Martin Siebenborn, Kathrin Welker

SIAM J. Sci. Comput., 2017

2016

Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations.

Lars Grasedyck, Christian Löbbert, Gabriel Wittum, Arne Nägel, Volker Schulz, Martin Siebenborn, Rolf Krause, Pietro Benedusi, Uwe Küster, Björn Dick

Proceedings of the Software for Exascale Computing - SPPEXA 2013-2015, 2016

Efficient PDE Constrained Shape Optimization Based on Steklov-Poincaré-Type Metrics.

Volker H. Schulz, Martin Siebenborn, Kathrin Welker

SIAM J. Optim., 2016

Computational Comparison of Surface Metrics for PDE Constrained Shape Optimization.

Volker Schulz, Martin Siebenborn

Comput. Methods Appl. Math., 2016

2015

Structured Inverse Modeling in Parabolic Diffusion Problems.

Volker H. Schulz, Martin Siebenborn, Kathrin Welker

SIAM J. Control. Optim., 2015

Scalable shape optimization methods for structured inverse modeling in 3D diffusive processes.

Arne Nägel, Volker Schulz, Martin Siebenborn, Gabriel Wittum

Comput. Vis. Sci., 2015

PDE Constrained Shape Optimization as Optimization on Shape Manifolds.

Volker H. Schulz, Martin Siebenborn, Kathrin Welker

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2013

GPU accelerated discontinuous Galerkin methods for Euler equations and its adjoint.

Martin Siebenborn, Volker Schulz

Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

2012

A curved-element unstructured discontinuous Galerkin method on GPUs for the Euler equations.

Martin Siebenborn, Volker Schulz, Stephan Schmidt

Comput. Vis. Sci., 2012