Ullmann, Sebastian ; Müller, Christopher ; Lang, Jens (2021)
Stochastic Galerkin Reduced Basis Methods for Parametrized Linear Convection−Diffusion−Reaction Equations.
In: Fluids, 6 (8)
doi: 10.3390/fluids6080263
Artikel, Bibliographie

Gräßle, Carmen ; Hinze, Michael ; Lang, Jens ; Ullmann, Sebastian (2019)
POD model order reduction with space-adapted snapshots for incompressible flows.
In: Advances in Computational Mathematics, 45
doi: 10.1007/s10444-019-09716-7
Artikel, Bibliographie

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2019)
A Bramble--Pasciak Conjugate Gradient Method for Discrete Stokes Equations with Random Viscosity.
In: SIAM/ASA Journal on Uncertainty Quantification, 7 (3)
doi: 10.1137/18m1163920
Artikel, Bibliographie

Ullmann, Sebastian ; Lang, Jens (2018)
Stochastic Galerkin reduced basis methods for parametrized linear elliptic PDEs.
In: SIAM / ASA Journal on Uncertainty Quantification, (submitted)
Artikel, Bibliographie

Ullmann, Sebastian (2018)
Model order reduction for space-adaptive simulations of unsteady incompressible flows.
Conference on the Numerical Solution of Differential and Differential-Algebraic Equations (NUMDIFF-15). Martin Luther University Halle-Wittenberg (Germany) (03.09.2018-07.09.2018)
Konferenzveröffentlichung, Bibliographie

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens
Hrsg.: Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; Wohlmuth, Barbara (2018)
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.
In: Recent Advances in Computational Engineering
doi: 10.1007/978-3-319-93891-2_5
Buchkapitel, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens
Hrsg.: Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; Wohlmuth, Barbara (2018)
A weighted reduced basis method for parabolic PDEs with random data.
In: Recent Advances in Computational Engineering
doi: 10.1007/978-3-319-93891-2_9
Buchkapitel, Bibliographie

Ullmann, Sebastian (2018)
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
Uncertainty quantification for complex systems: theory and methodologies. Isaac Newton Institute, Cambridge, UK (03.06.2018-29.06.2018)
Konferenzveröffentlichung, Bibliographie

Ullmann, Sebastian (2018)
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
MoRePaS 2018. Nantes, France (10.04.2018-13.04.2018)
Konferenzveröffentlichung, Bibliographie

Ullmann, Sebastian (2018)
Stochastic Galerkin reduced basis methods for parametrized random elliptic PDEs.
Reducing dimensions and cost for UQ in complex systems. Isaac Newton Institute for Mathematical Sciences, Cambridge, UK (05.03.2018-09.03.2018)
Konferenzveröffentlichung, Bibliographie

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2018)
A Bramble-Pasciak conjugate gradient method for discrete Stokes equations with random viscosity.
In: SIAM/ASA Journal on Uncertainty Quantification (JUQ), 7 (3)
Artikel, Bibliographie

Ullmann, Sebastian (2017)
CFD under uncertainty: combining model order reduction with spatial adaptivity.
Frontiers of Uncertainty Quantification in Engineering (FrontUQ). Munich (06.09.2017-08.09.2017)
Konferenzveröffentlichung, Bibliographie

Müller, Christopher ; Ullmann, Sebastian (2017)
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
FoMICS-Workshop. Lugano, Switzerland (15.12.2016-19.12.2016)
Konferenzveröffentlichung, Bibliographie

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
Conjugate gradient methods for stochastic Galerkin finite element matrices with saddle point structure.
Quantification of Uncertainty: Improving Efficiency and Technology (QUIET). Triest, Italy (18.07.2017-21.07.2017)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
Reduced Basis Method for Linear Parabolic Problems with Random Data.
FoMICS-Workshop. Lugano, Switzerland (15.12.2016-19.12.2016)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
Reduced Basis Method for Parabolic Problems with Random Data.
SIMAI (Societa Italiana Di Matematica Applicata E Industriale) 2016. Milano, Italy (13.09.2016-16.09.2016)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
Weighted Reduced Basis Method for Parabolic PDEs with Random Data.
Quantification of Uncertainty: Improving Efficiency and Technology (QUIET). Triest, Italy (18.07.2017-21.07.2017)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
A Weighted Reduced Basis Method for Parabolic PDE with Random Data.
Reduced Basis Summer School 2017. Goslar, Germany (19.09.2017-22.09.2017)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
A Weighted Reduced Basis Method for Parabolic PDE with Random Data.
4th International Conference on Computational Engineering (ICCE 2017). Darmstadt, Germany (28.09.2017-29.09.2017)
Konferenzveröffentlichung, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2017)
A Weighted Reduced Basis Method for Parabolic PDEs with Random Data.
SIAM Conference on Uncertainty Quantification, Garden Grove 2018. Garden Grove, California, USA (16.04.2017-19.04.2017)
Konferenzveröffentlichung, Bibliographie

Ullmann, Sebastian ; Rotkvic, Marko ; Lang, Jens (2016)
POD-Galerkin reduced-order modeling with adaptive finite element snapshots.
In: Journal of Computational Physics, 325
Artikel, Bibliographie

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens (2016)
Reduced Basis Method for Parabolic Problems with Random Data.
Reduced Basis Summer School 2016. Hedersleben, Germany (04.10.2016-07.10.2016)
Konferenzveröffentlichung, Bibliographie

Ullmann, Sebastian ; Lang, Jens
Hrsg.: Garcke, J. ; Pflüger, D. (2014)
POD-Galerkin Modeling and Sparse-Grid Collocation for a Natural Convection Problem with Stochastic Boundary Conditions.
In: Sparse Grids and Applications - Munich 2012
Buchkapitel, Bibliographie

Ullmann, Sebastian (2014)
POD-Galerkin Modeling for Incompressible Flows with Stochastic Boundary Conditions.
Technische Universität Darmstadt
Dissertation, Bibliographie

Ullmann, Sebastian ; Löbig, Stefan ; Lang, Jens
Hrsg.: Janicka, J. ; Sadiki, Amsini ; Schäfer, Michael ; Heeger, Christof (2013)
Adaptive Large Eddy Simulation and Reduced-Order Modeling.
In: Flow and Combustion in Advanced Gas Turbine Combustors
doi: 10.1007/978-94-007-5320-4_12
Buchkapitel, Bibliographie

Ullmann, Sebastian ; Lang, Jens (2012)
POD and CVT Galerkin reduced-order modeling of the flow around a cylinder.
In: Proceedings in Applied Mathematics and Mechanics (PAMM), 12 (1)
Artikel, Bibliographie

Ullmann, Sebastian ; Lang, Jens
A POD-Galerkin Reduced Model with Updated Coefficients for Smagorinsky LES.
In: Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010
Artikel, Bibliographie