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Number of items: 26.

Ullmann, Sebastian and Lang, Jens :
Stochastic Galerkin reduced basis methods for parametrized linear elliptic PDEs.
[Online-Edition: https://arxiv.org/abs/1812.08519]
In: SIAM / ASA Journal on Uncertainty Quantification
[Article] , (2018) (Submitted)

Gräßle, Carmen and Hinze, Michael and Lang, Jens and Ullmann, Sebastian :
POD model order reduction with space-adapted snapshots for incompressible flows.
[Online-Edition: https://arxiv.org/abs/1810.03892]
In: Advances in Computational Mathematics ISSN 1019-7168
[Article] , (2018) (Submitted)

Ullmann, Sebastian :
Model order reduction for space-adaptive simulations of unsteady incompressible flows.
In: Conference on the Numerical Solution of Differential and Differential-Algebraic Equations (NUMDIFF-15), 3 - 7 September 2018, Martin Luther University Halle-Wittenberg (Germany).
[Conference or Workshop Item] , (2018)

Müller, Christopher and Ullmann, Sebastian and Lang, Jens
Schäfer, Michael and Behr, Marek and Mehl, Miriam and Wohlmuth, Barbara (eds.) :

A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-93891-2_...]
In: Recent Advances in Computational Engineering. Lecture Notes in Computational Science and Engineering, 124. Springer International Publishin, Cham , pp. 63-87. ISBN 978-3-319-93891-2
[Book Section] , (2018)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens
Schäfer, Michael and Behr, Marek and Mehl, Miriam and Wohlmuth, Barbara (eds.) :

A weighted reduced basis method for parabolic PDEs with random data.
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-93891-2_...]
In: Recent Advances in Computational Engineering. Lecture Notes in Computational Science and Engineering, 124. Springer International Publishing, Cham , pp. 145-161. ISBN 978-3-319-93891-2
[Book Section] , (2018)

Ullmann, Sebastian :
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
[Online-Edition: https://www.newton.ac.uk/seminar/20180529140015002]
In: Uncertainty quantification for complex systems: theory and methodologies, 03.01.2018 - 29.06.2018, Isaac Newton Institute, Cambridge, UK.
[Conference or Workshop Item] , (2018)

Ullmann, Sebastian :
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
[Online-Edition: https://www.scienceopen.com/document?vid=47586c39-45b8-42b6-...]
In: MoRePaS 2018, 10 - 13 April 2018, Nantes, France.
[Conference or Workshop Item] , (2018)

Ullmann, Sebastian :
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
[Online-Edition: https://www.newton.ac.uk/event/unqw03]
In: Reducing dimensions and cost for UQ in complex systems, 5-9 March 2018, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK.
[Conference or Workshop Item] , (2018)

Müller, Christopher and Ullmann, Sebastian and Lang, Jens :
A Bramble-Pasciak conjugate gradient method for discrete Stokes equations with random viscosity.
[Online-Edition: https://arxiv.org/abs/1801.01838]
In: SIAM/ASA Journal on Uncertainty Quantification (JUQ)
[Article] , (2018) (Submitted)

Ullmann, Sebastian :
CFD under uncertainty: combining model order reduction with spatial adaptivity.
In: Frontiers of Uncertainty Quantification in Engineering (FrontUQ), 6-8 September 2017, Munich.
[Conference or Workshop Item] , (2017)

Müller, Christopher and Ullmann, Sebastian :
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
In: FoMICS-Workshop, 15.-19.12.2016, Lugano, Switzerland.
[Conference or Workshop Item] , (2017)

Müller, Christopher and Ullmann, Sebastian and Lang, Jens :
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
In: Quantification of Uncertainty: Improving Efficiency and Technology (QUIET), 18.-21.07.2017, Triest, Italy.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
Reduced Basis Method for Linear Parabolic Problems with Random Data.
In: FoMICS-Workshop, 15.-19.12.2016, Lugano, Switzerland.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
Reduced Basis Method for Parabolic Problems with Random Data.
In: SIMAI (Societa Italiana Di Matematica Applicata E Industriale) 2016, 13.-16.09.2016, Milano, Italy.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
Weighted Reduced Basis Method for Parabolic PDEs with Random Data.
In: Quantification of Uncertainty: Improving Efficiency and Technology (QUIET), 18.-21.07.2017, Triest, Italy.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
A Weighted Reduced Basis Method for Parabolic PDE with Random Data.
In: Reduced Basis Summer School 2017, 19.-22.09.2017, Goslar, Germany.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
A Weighted Reduced Basis Method for Parabolic PDE with Random Data.
In: 4th International Conference on Computational Engineering (ICCE 2017), Sep 28-29, 2017, Darmstadt, Germany.
[Conference or Workshop Item] , (2017)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
A Weighted Reduced Basis Method for Parabolic PDEs with Random Data.
In: SIAM Conference on Uncertainty Quantification, Garden Grove 2018, April 16-19, Garden Grove, California, USA.
[Conference or Workshop Item] , (2017)

Ullmann, Sebastian and Rotkvic, Marko and Lang, Jens :
POD-Galerkin reduced-order modeling with adaptive finite element snapshots.
[Online-Edition: http://dx.doi.org/10.1016/j.jcp.2016.08.018]
In: Journal of Computational Physics, 325 pp. 244-258. ISSN 0021-9991
[Article] , (2016)

Spannring, Christopher and Ullmann, Sebastian and Lang, Jens :
Reduced Basis Method for Parabolic Problems with Random Data.
In: Reduced Basis Summer School 2016, 04.-07.10.2016, Hedersleben, Germany.
[Conference or Workshop Item] , (2016)

Ullmann, Sebastian and Lang, Jens
Garcke, J. and Pflüger, D. (eds.) :

POD-Galerkin Modeling and Sparse-Grid Collocation for a Natural Convection Problem with Stochastic Boundary Conditions.
[Online-Edition: http://link.springer.com/chapter/10.1007%2F978-3-319-04537-5...]
In: Sparse Grids and Applications - Munich 2012. Lecture Notes in Computational Science and Engineering. Springer , pp. 295-315.
[Book Section] , (2014)

Ullmann, Sebastian:
POD-Galerkin Modeling for Incompressible Flows with Stochastic Boundary Conditions.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4296/]
Verlag Dr. Hut, Munich ISBN 9783843915687
[Book] , (2014)

Ullmann, Sebastian :
POD-galerkin modeling for incompressible flows with stochastic boundary conditions.
[Online-Edition: http://www.dr.hut-verlag.de/9783843915687.html]
Dr. Hut , München
[Ph.D. Thesis], (2014)

Ullmann, Sebastian and Löbig, Stefan and Lang, Jens
Janicka, J. and Sadiki, Amsini and Schäfer, Michael and Heeger, Christof (eds.) :

Adaptive Large Eddy Simulation and Reduced-Order Modeling.
[Online-Edition: https://doi.org/10.1007/978-94-007-5320-4_12]
In: Flow and Combustion in Advanced Gas Turbine Combustors. Fluid Mechanics and Its Applications, 102. Springer Netherlands, Dordrecht Dordrecht , pp. 349-378. ISBN 978-94-007-5320-4
[Book Section] , (2013)

Ullmann, Sebastian and Lang, Jens :
POD and CVT Galerkin reduced-order modeling of the flow around a cylinder.
[Online-Edition: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201210337/pd...]
In: Proceedings in Applied Mathematics and Mechanics (PAMM), 12 (1) pp. 697-698. ISSN 1617-7061
[Article] , (2012)

Ullmann, Sebastian and Lang, Jens
Pereira, J. C. F. and Sequeira, A. and Pereira, J. M. C. (eds.) :

A POD-Galerkin Reduced Model with Updated Coefficients for Smagorinsky LES.
[Online-Edition: http://www.mathematik.tu-darmstadt.de/preprint.php?id=2610]
In: Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010
[Article] , (2010)

This list was generated on Sat Apr 20 00:46:17 2019 CEST.