Thomas Slawig

25 papers C 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Prediction of steady states in a marine ecosystem model by a machine learning technique.
CoRR
Mahfuz Sarker Miraz, Thomas Slawig
2023 J jnl
A Micro-Macro Parareal Implementation for the Ocean-Circulation Model FESOM2.
CoRR
Benedict Philippi, Thomas Slawig
2023 J jnl
A Micro-Macro parallel-in-time Implementation for the 2D Navier-Stokes Equations.
CoRR
Benedict Philippi, Mahfuz Sarker Miraz, Thomas Slawig
2022 J jnl
Can neural networks predict steady annual cycles of marine ecosystems?
Inform. Spektrum
Thomas Slawig, Markus Pfeil
2022 J jnl
The Parareal Algorithm Applied to the FESOM 2 Ocean Circulation Model.
CoRR
Benedict Philippi, Thomas Slawig
2021 J jnl
Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model.
CoRR
Markus Pfeil, Thomas Slawig
2020 J jnl
Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization.
ISPRS Int. J. Geo Inf.
Matthias P. Wagner, Thomas Slawig, Alireza Taravat, Natascha Oppelt
2015 J jnl
Extension of a marine ecosystem model using discrete open loop optimal control.
Int. J. Math. Model. Numer. Optimisation
Mustapha El Jarbi, Thomas Slawig
2013 J jnl
Marine ecosystem model calibration with real data using enhanced surrogate-based optimization.
J. Comput. Sci.
Malte Prieß, Slawomir Koziel, Thomas Slawig
2013 J jnl
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
Johannes Rückelt, Günter Bärwolff, Thomas Slawig
2012 J jnl
Aggressive space mapping for optimisation of a marine ecosystem model.
Int. J. Math. Model. Numer. Optimisation
Malte Prieß, Thomas Slawig
2012 — ch.
Automated Extension of Fixed Point PDE Solvers for Optimal Design with Bounded Retardation.
Constrained Optimization and Optimal Control for Partial Differential Equations
Nicolas R. Gauger, Andreas Griewank, Adel Hamdi, Claudia Kratzenstein, Emre Özkaya, Thomas Slawig
2012 J jnl
Parameter identification in climate models using surrogate-based optimization.
J. Comput. Methods Sci. Eng.
Malte Prieß, Jaroslaw Piwonski, Slawomir Koziel, Thomas Slawig
2011 C conf
Improved Surrogate-based Optimization of a Marine Ecosystem Model using Response Correction.
SIMULTECH
Malte Prieß, Slawomir Koziel, Thomas Slawig
2011 — conf
Introducing Periodic Parameters in a Marine Ecosystem Model Using Discrete Linear Quadratic Control.
System Modelling and Optimization
Mustapha El Jarbi, Thomas Slawig, Andreas Oschlies
2011 — conf
Marine Ecosystem Model Calibration through Enhanced Surrogate-Based Optimization.
SIMULTECH (Selected Papers)
Malte Prieß, Slawomir Koziel, Thomas Slawig
2011 J jnl
Surrogate-based optimization of climate model parameters using response correction.
J. Comput. Sci.
Malte Prieß, Slawomir Koziel, Thomas Slawig
2011 — conf
Theoretical Analysis and Optimization of Nonlinear ODE Systems for Marine Ecosystem Models.
System Modelling and Optimization
Anna Heinle, Thomas Slawig
2009 J jnl
Strategies for time-dependent PDE control with inequality constraints using an integrated modeling and simulation environment.
Numer. Algorithms
Ira Neitzel, Uwe Prüfert, Thomas Slawig
2006 J jnl
PDE-constrained control using Femlab - Control of the Navier-Stokes equations.
Numer. Algorithms
Thomas Slawig
2005 J jnl
Generating efficient derivative code with TAF: Adjoint and tangent linear Euler flow around an airfoil.
Future Gener. Comput. Syst.
Ralf Giering, Thomas Kaminski, Thomas Slawig
2003 J jnl
A Formula for the Derivative with Respect to Domain Variations in Navier--Stokes Flow Based on an Embedding Domain Method.
SIAM J. Control. Optim.
Thomas Slawig
2003 J jnl
Adjoint gradients compared to gradients from algorithmic differentiation in instantaneous control of the Navier-Stokes equations.
Optim. Methods Softw.
Michael Hinze, Thomas Slawig
2001 J jnl
Coupling distributed FORTRAN applications using C++ wrappers and the CORBA sequence type.
Comput. Stand. Interfaces
Thomas Slawig
2000 J jnl
An Explicit Formula for the Derivative of a Class of Cost Functionals with Respect to Domain Variations in Stokes Flow.
SIAM J. Control. Optim.
Thomas Slawig