Sebastian Götschel
Cited by
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Solving Optimal Control Problems with the Kaskade 7 Finite Element Toolbox
S Götschel, M Weiser, A Schiela
Advances in DUNE: Proceedings of the DUNE User Meeting, Held in October 6th …, 2012
An efficient parallel-in-time method for optimization with parabolic PDEs
S Gotschel, ML Minion
SIAM Journal on Scientific Computing 41 (6), C603-C626, 2019
State trajectory compression for optimal control with parabolic PDEs
M Weiser, S Götschel
SIAM Journal on Scientific Computing 34 (1), A161-A184, 2012
Kaskade 7—A flexible finite element toolbox
S Götschel, A Schiela, M Weiser
Computers & Mathematics with Applications 81, 444-458, 2021
Parallel-in-time for parabolic optimal control problems using PFASST
S Götschel, ML Minion
Domain Decomposition Methods in Science and Engineering XXIV 24, 363-371, 2018
Lossy compression for PDE-constrained optimization: adaptive error control
S Götschel, M Weiser
Computational Optimization and Applications 62 (1), 131-155, 2015
Reducing memory requirements in scientific computing and optimal control
S Götschel, C von Tycowicz, K Polthier, M Weiser
Multiple Shooting and Time Domain Decomposition Methods: MuS-TDD, Heidelberg …, 2015
Lossy compression in optimal control of cardiac defibrillation
S Götschel, N Chamakuri, K Kunisch, M Weiser
Journal of Scientific Computing 60 (1), 35-59, 2013
Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation
MC Weber, L Fischer, A Damerau, I Ponomarev, M Pfeiffenberger, ...
Biofabrication 12 (4), 045016, 2020
Twelve ways to fool the masses when giving parallel-in-time results
S Götschel, M Minion, D Ruprecht, R Speck
Workshops on Parallel-in-Time Integration, 81-94, 2020
Lossy data compression reduces communication time in hybrid time-parallel integrators
L Fischer, S Götschel, M Weiser
Computing and Visualization in Science 19, 19-30, 2018
Parareal with a physics-informed neural network as coarse propagator
AQ Ibrahim, S Götschel, D Ruprecht
European Conference on Parallel Processing, 649-663, 2023
Determining the material parameters for the reconstruction of defects in carbon fiber reinforced polymers from data measured by flash thermography
JP Müller, S Götschel, C Maierhofer, M Weiser
AIP Conference Proceedings 1806 (1), 2017
Fast defect shape reconstruction based on the travel time in pulse thermography
S Götschel, M Weiser, C Maierhofer, R Richter, M Röllig
Nondestructive testing of materials and structures 6, 83, 2012
Data Enhancement for Active Thermography
S Götschel, M Weiser, C Maierhofer, R Richter
Compression challenges in large scale partial differential equation solvers
S Götschel, M Weiser
Algorithms 12 (9), 197, 2019
Quantitative defect reconstruction in active thermography for fiber-reinforced composites
S Götschel, C Maierhofer, JP Müller, N Rothbart, M Weiser
Adaptive lossy trajectory compression for optimal control of parabolic pdes
S Götschel
In vitro and in silico modeling of cellular and matrix-related changes during the early phase of osteoarthritis
MC Weber, L Fischer, A Damerau, I Ponomarev, M Pfeiffenberger, ...
BioRxiv, 725317, 2019
Lossy Compression for Large Scale PDE Problems
S Götschel, M Weiser
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