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Thomas Slawig
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- affiliation: University of Kiel, Germany
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2020 – today
- 2023
- [i4]Benedict Philippi, Thomas Slawig:
A Micro-Macro Parareal Implementation for the Ocean-Circulation Model FESOM2. CoRR abs/2306.17269 (2023) - [i3]Benedict Philippi, Mahfuz Sarker Miraz, Thomas Slawig:
A Micro-Macro parallel-in-time Implementation for the 2D Navier-Stokes Equations. CoRR abs/2309.03037 (2023) - 2022
- [j15]Thomas Slawig, Markus Pfeil:
Can neural networks predict steady annual cycles of marine ecosystems? Inform. Spektrum 45(5): 304-308 (2022) - [i2]Benedict Philippi, Thomas Slawig:
The Parareal Algorithm Applied to the FESOM 2 Ocean Circulation Model. CoRR abs/2208.07598 (2022) - 2021
- [i1]Markus Pfeil, Thomas Slawig:
Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model. CoRR abs/2111.15597 (2021) - 2020
- [j14]Matthias P. Wagner, Thomas Slawig, Alireza Taravat, Natascha Oppelt:
Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization. ISPRS Int. J. Geo Inf. 9(2): 105 (2020)
2010 – 2019
- 2015
- [j13]Mustapha El Jarbi, Thomas Slawig:
Extension of a marine ecosystem model using discrete open loop optimal control. Int. J. Math. Model. Numer. Optimisation 6(1): 22-39 (2015) - 2013
- [j12]Johannes Rückelt, Günter Bärwolff, Thomas Slawig:
The one-shot method for a pressure correction Navier-Stokes solver: an example where optimisation can be faster than simulation. Int. J. Math. Model. Numer. Optimisation 4(2): 114-135 (2013) - [j11]Malte Prieß, Slawomir Koziel, Thomas Slawig:
Marine ecosystem model calibration with real data using enhanced surrogate-based optimization. J. Comput. Sci. 4(5): 423-437 (2013) - 2012
- [j10]Malte Prieß, Thomas Slawig:
Aggressive space mapping for optimisation of a marine ecosystem model. Int. J. Math. Model. Numer. Optimisation 3(1/2): 98-116 (2012) - [j9]Malte Prieß, Jaroslaw Piwonski, Slawomir Koziel, Thomas Slawig:
Parameter identification in climate models using surrogate-based optimization. J. Comput. Methods Sci. Eng. 12(1-2): 47-62 (2012) - [p1]Nicolas R. Gauger, Andreas Griewank, Adel Hamdi, Claudia Kratzenstein, Emre Özkaya, Thomas Slawig:
Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation. Constrained Optimization and Optimal Control for Partial Differential Equations 2012: 99-122 - 2011
- [j8]Malte Prieß, Slawomir Koziel, Thomas Slawig:
Surrogate-based optimization of climate model parameters using response correction. J. Comput. Sci. 2(4): 335-344 (2011) - [c4]Mustapha El Jarbi, Thomas Slawig, Andreas Oschlies:
Introducing Periodic Parameters in a Marine Ecosystem Model Using Discrete Linear Quadratic Control. System Modelling and Optimization 2011: 481-490 - [c3]Anna Heinle, Thomas Slawig:
Theoretical Analysis and Optimization of Nonlinear ODE Systems for Marine Ecosystem Models. System Modelling and Optimization 2011: 501-510 - [c2]Malte Prieß, Slawomir Koziel, Thomas Slawig:
Marine Ecosystem Model Calibration through Enhanced Surrogate-Based Optimization. SIMULTECH (Selected Papers) 2011: 193-208 - [c1]Malte Prieß, Slawomir Koziel, Thomas Slawig:
Improved Surrogate-based Optimization of a Marine Ecosystem Model using Response Correction. SIMULTECH 2011: 449-457
2000 – 2009
- 2009
- [j7]Ira Neitzel, Uwe Prüfert, Thomas Slawig:
Strategies for time-dependent PDE control with inequality constraints using an integrated modeling and simulation environment. Numer. Algorithms 50(3): 241-269 (2009) - 2006
- [j6]Thomas Slawig:
PDE-constrained control using Femlab - Control of the Navier-Stokes equations. Numer. Algorithms 42(2): 107-126 (2006) - 2005
- [j5]Ralf Giering, Thomas Kaminski, Thomas Slawig:
Generating efficient derivative code with TAF: Adjoint and tangent linear Euler flow around an airfoil. Future Gener. Comput. Syst. 21(8): 1345-1355 (2005) - 2003
- [j4]Michael Hinze, Thomas Slawig:
Adjoint gradients compared to gradients from algorithmic differentiation in instantaneous control of the Navier-Stokes equations. Optim. Methods Softw. 18(3): 299-315 (2003) - [j3]Thomas Slawig:
A Formula for the Derivative with Respect to Domain Variations in Navier--Stokes Flow Based on an Embedding Domain Method. SIAM J. Control. Optim. 42(2): 495-512 (2003) - 2001
- [j2]Thomas Slawig:
Coupling distributed FORTRAN applications using C++ wrappers and the CORBA sequence type. Comput. Stand. Interfaces 23(1): 5-17 (2001) - 2000
- [j1]Thomas Slawig:
An Explicit Formula for the Derivative of a Class of Cost Functionals with Respect to Domain Variations in Stokes Flow. SIAM J. Control. Optim. 39(1): 141-158 (2000)
Coauthor Index
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