Lang

Publikationen von Prof. Dr. Jens Lang

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Springe zu: 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2005 | 2002
Anzahl der Einträge: 56.

2018

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

Mindt, Pascal ; Lang, Jens ; Domschke, Pia (2018):
Entropy-Preserving Coupling of Hierarchical Gas Models.
[Online-Edition: https://arxiv.org/abs/1812.05927],
[Report]

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

Müller, Christopher ; Ullmann, Sebastian ; Lang, Jens
Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; Wohlmuth, Barbara (Hrsg.) (2018):
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.
In: Recent Advances in Computational Engineering, Cham, Springer International Publishin, S. 63-87, DOI: 10.1007/978-3-319-93891-2_5,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-93891-2_...],
[Buchkapitel]

Spannring, Christopher ; Ullmann, Sebastian ; Lang, Jens
Schäfer, Michael ; Behr, Marek ; Mehl, Miriam ; Wohlmuth, Barbara (Hrsg.) (2018):
A weighted reduced basis method for parabolic PDEs with random data.
In: Recent Advances in Computational Engineering, Cham, Springer International Publishing, S. 145-161, DOI: 10.1007/978-3-319-93891-2_9,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-319-93891-2_...],
[Buchkapitel]

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), [Online-Edition: https://arxiv.org/abs/1801.01838],
[Artikel]

Schneider, Moritz ; Lang, Jens ; Hundsdorfer, Willem (2018):
Extrapolation-based super-convergent implicit-explicit Peer methods with A-stable implicit part.
In: Journal of Computational Physics, S. 121-133, 367, ISSN 00219991,
DOI: 10.1016/j.jcp.2018.04.006,
[Online-Edition: https://doi.org/10.1016/j.jcp.2018.04.006],
[Artikel]

Domschke, Pia ; Dua, Aseem ; Stolwijk, Jeroen J. ; Lang, Jens ; Mehrmann, Volker (2018):
Adaptive refinement strategies for the simulation of gas flow in networks using a model hierarchy.
In: Electronic Transactions on Numerical Analysis, S. 97-113, 48, DOI: 10.1553/etna_vol48s97,
[Artikel]

Lang, Jens ; Mindt, Pascal (2018):
Entropy-preserving coupling conditions for one-dimensional Euler systems at junctions.
In: Networks & Heterogeneous Media, S. 177-190, 13, (1), ISSN 1556-181X,
DOI: 10.3934/nhm.2018008,
[Online-Edition: https://doi.org/10.3934/nhm.2018008],
[Artikel]

2017

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

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

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

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

Lang, Jens ; Hundsdorfer, Willem (2017):
Extrapolation-based implicit–explicit Peer methods with optimised stability regions.
In: Journal of Computational Physics, S. 203-215, 337, ISSN 00219991,
[Online-Edition: http://doi.org/10.1016/j.jcp.2017.02.034],
[Artikel]

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

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

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

Domschke, Pia ; Hiller, Benjamin ; Lang, Jens ; Tischendorf, Caren (2017):
Modellierung von Gasnetzwerken: Eine Übersicht.
Darmstadt, Fachbereich Mathematik, TU Darmstadt, S. 33, In: Preprints, [Report]

2016

Domschke, Pia ; Kolb, Oliver ; Lang, Jens (2016):
Adaptive Modelling, Simulation and Optimization of Gas and Water Supply Networks.
In: PAMM, Wiley, S. 839-840, 16, (1), DOI: 10.1002/pamm.201610408,
[Online-Edition: https://onlinelibrary.wiley.com/doi/abs/10.1002/pamm.2016104...],
[Artikel]

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

Huang, Weizhang ; Kamenski, Lennard ; Lang, Jens (2016):
STABILITY OF EXPLICIT ONE-STEP METHODS FOR P1-FINITE ELEMENT APPROXIMATION OF LINEAR DIFFUSION EQUATIONS ON ANISOTROPIC MESHES.
In: Siam Journal on Numerical Analysis, S. 1612-1634, 54, (3), ISSN 0036-1429,
[Online-Edition: http://dx.doi.org/10.1137/130949531],
[Artikel]

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

2015

Debrabant, Kristian ; Lang, Jens (2015):
On asymptotic global error estimation and control of finite difference solutions for semilinear parabolic equations.
In: Computer Methods in Applied Mechanics and Engineering, S. 110-126, 288, ISSN 0045-7825,
[Artikel]

Liu, Shengyuan ; Gerisch, Alf ; Rahimi, Mohammad ; Lang, Jens ; Boehm, Michael C. ; Mueller-Plathe, Florian (2015):
Robustness of a new molecular dynamics-finite element coupling approach for soft matter systems analyzed by uncertainty quantification.
In: Journal of Chemical Physics, 142, (10), ISSN 0021-9606,
[Artikel]

Domschke, Pia ; Kolb, Oliver ; Lang, Jens (2015):
Adjoint-based error control for the simulation and optimization of gas and water supply networks.
In: Applied Mathematics and Computation, S. 1003-1018, 259, ISSN 0096-3003,
DOI: 10.1016/j.amc.2015.03.029,
[Online-Edition: https://doi.org/10.1016/j.amc.2015.03.029],
[Artikel]

2014

Kuhn, Karen ; Lang, Jens (2014):
Comparison of the asymptotic stability for multirate Rosenbrock methods.
In: Journal of Computational and Applied Mathematics, S. 139-149, 262, [Artikel]

Schroeder, Dirk ; Lang, Jens ; Weiner, Ruediger (2014):
Stability and consistency of discrete adjoint implicit peer methods.
In: Journal of Computational and Applied Mathematics, S. 73-86, 262, [Artikel]

Liersch, Claudia ; Frankenbach, Matthias ; Froehlich, Jochen ; Lang, Jens (2014):
Recent progress in designing moving meshes for complex turbulent flows.
In: Meteorologische Zeitschrift, S. 425-439, 23, (4), ISSN 0941-2948,
[Artikel]

Ullmann, Sebastian ; Lang, Jens
Garcke, J. ; Pflüger, D. (Hrsg.) (2014):
POD-Galerkin Modeling and Sparse-Grid Collocation for a Natural Convection Problem with Stochastic Boundary Conditions.
In: Sparse Grids and Applications - Munich 2012, Springer, S. 295-315, [Online-Edition: http://link.springer.com/chapter/10.1007%2F978-3-319-04537-5...],
[Buchkapitel]

Bott, Stefanie ; Clever, Debora ; Lang, Jens ; Ulbrich, Stefan ; Ziems, Jan ; Schröder, D.
Leugering, G. ; Benner, P. ; Engell, S. ; Griewank, A. ; Harbrecht, H. ; Hinze, Michael ; Rannacher, R. ; Ulbrich, Stefan (Hrsg.) (2014):
On a Fully Adaptive SQP Method for PDAE-Constrained Optimal Control Problems with Control and State Constraints.
In: Trends in PDE Constrained Optimization, Springer International Publishing, S. 85-108, [Buchkapitel]

2013

Hertel, Claudia ; Schuemichen, Michel ; Lang, Jens ; Froehlich, Jochen (2013):
Using a Moving Mesh PDE for Cell Centres to Adapt a Finite Volume Grid.
In: Flow Turbulence and Combustion, S. 785-812, 90, [Artikel]

Braack, Malte ; Lang, Jens ; Taschenberger, Nico (2013):
Stabilized finite elements for transient flow problems on varying spatial meshes.
In: Computer Methods in Applied Mechanics and Engineering, S. 106-116, 253, [Artikel]

Ullmann, Sebastian ; Löbig, Stefan ; Lang, Jens
Janicka, J. ; Sadiki, Amsini ; Schäfer, Michael ; Heeger, Christof (Hrsg.) (2013):
Adaptive Large Eddy Simulation and Reduced-Order Modeling.
In: Flow and Combustion in Advanced Gas Turbine Combustors, Dordrecht, Springer Netherlands, S. 349-378, DOI: 10.1007/978-94-007-5320-4₁₂,
[Online-Edition: https://doi.org/10.1007/978-94-007-5320-4_12],
[Buchkapitel]

2012

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), John Wiley and Sons, S. 697-698, 12, (1), ISSN 1617-7061,
[Online-Edition: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201210337/pd...],
[Artikel]

Clever, Debora ; Lang, Jens ; Ulbrich, Stefan ; Ziems, Jan
Leugering, Guenter (Hrsg.) (2012):
Generalized Multilevel SQP- methods for PDAE-constrained Optimization Based on Space-Time Adaptive PDAE Solvers.
In: Constrained Optimization and Optimal Control for Partial Differential Equations, Basel, Springer, S. 37-60, [Buchkapitel]

2011

Geissler, Bjoern ; Kolb, Oliver ; Lang, Jens ; Leugering, Guenter ; Martin, Alexander ; Morsi, Antonio (2011):
Mixed integer linear models for the optimization of dynamical transport networks.
In: Mathematical Methods of Operations Research, S. 339-362, 73, [Artikel]

Frank, Martin ; Lang, Jens ; Schäfer, Matthias (2011):
Adaptive Finite Element Simulation of the Time-dependent Simplified P N Equations.
In: Journal of Scientific Computing, ISSN 0885-7474,
[Online-Edition: http://dx.doi.org/10.1007/s10915-011-9466-6],
[Artikel]

Lang, Jens ; Lilienthal, Martin ; Schnepp, Sascha (2011):
Effizienz durch adaptive Simulationsverfahren.
In: forschen, Wissenschaftsmagazin der Technischen Universität Darmstadt, S. 16-19, [Artikel]

Domschke, Pia ; Kolb, Oliver ; Lang, Jens (2011):
Adjoint-based control of model and discretisation errors for gas flow in networks.
In: International Journal of Mathematical Modelling and Numerical Optimisation, S. 175, 2, (2), ISSN 2040-3607,
DOI: 10.1504/IJMMNO.2011.039427,
[Online-Edition: http://dx.doi.org/10.1504/IJMMNO.2011.039427],
[Artikel]

Domschke, Pia ; Kolb, Oliver ; Lang, Jens
Aubry, D. ; Diéz, P. ; Tie, B. ; Parés, N. (Hrsg.) (2011):
Adjoint-Based Error Control for the Simulation of Gas and Water Supply Networks.
In: Adaptive Modeling and Simulation 2011, Barcelona, International Center for Numerical Methods in Engineering (CIMNE), S. 183-194, [Buchkapitel]

Domschke, Pia ; Kolb, Oliver ; Lang, Jens
Yang, X.-S. ; Koziel, S. (Hrsg.) (2011):
Adjoint-Based Control of Model and Discretization Errors for Gas and Water Supply Networks.
In: Computational Optimization and Applications in Engineering and Industry, Berlin, Heidelberg, Springer, S. 1-17, DOI: 10.1007/978-3-642-20986-4_1,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-642-20986-4_...],
[Buchkapitel]

2010

Huang, Weizhang ; Kamenski, Lennard ; Lang, Jens (2010):
A new anisotropic mesh adaptation method based upon hierarchical a posteriori error estimates.
In: Journal of Computational Physics, S. 2179, 229, (6), ISSN 00219991,
[Online-Edition: http://dx.doi.org/10.1016/j.jcp.2009.11.029],
[Artikel]

Clever, Debora ; Lang, Jens ; Ulbrich, Stefan ; Ziems, Jan (2010):
Combination of an Adaptive Multilevel SQP Method and a Space-Time Adaptive PDAE Solver for Optimal Control Problems.
In: Procedia Computer Science, [Konferenzveröffentlichung]

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, [Online-Edition: http://www.mathematik.tu-darmstadt.de/preprint.php?id=2610],
[Artikel]

Domschke, Pia ; Kolb, Oliver ; Lang, Jens (2010):
An adaptive model switching and discretization algorithm for gas flow on networks.
In: Procedia Computer Science, S. 1331-1340, 1, (1), ISSN 18770509,
DOI: 10.1016/j.procs.2010.04.148,
[Online-Edition: https://dx.doi.org/10.1016/j.procs.2010.04.148],
[Artikel]

Kolb, Oliver ; Domschke, Pia ; Lang, Jens (2010):
Modified QR decomposition to avoid non-uniqueness in water supply networks with extension to adjoint calculus.
In: Procedia Computer Science, S. 1427-1434, 1, (1), ISSN 18770509,
DOI: 10.1016/j.procs.2010.04.158,
[Online-Edition: https://dx.doi.org/10.1016/j.procs.2010.04.158],
[Artikel]

Kolb, Oliver ; Domschke, Pia ; Lang, Jens
Fitt, Alistair D. ; Norbury, John ; Ockendon, Hilary ; Wilson, Eddie (Hrsg.) (2010):
Moving Penalty Functions for Optimal Control with PDEs on Networks.
In: Progress in Industrial Mathematics at ECMI 2008, Berlin, Heidelberg, Springer Berlin Heidelberg, S. 925-931, DOI: 10.1007/978-3-642-12110-4_148,
[Online-Edition: http://dx.doi.org/10.1007/978-3-642-12110-4_148],
[Buchkapitel]

Kolb, Oliver ; Lang, Jens ; Bales, Pia (2010):
An implicit box scheme for subsonic compressible flow with dissipative source term.
In: Numerical Algorithms, S. 293-307, 53, (2-3), ISSN 1017-1398,
DOI: 10.1007/s11075-009-9287-y,
[Online-Edition: https://doi.org/10.1007/s11075-009-9287-y],
[Artikel]

Domschke, Pia ; Geissler, Björn ; Kolb, Oliver ; Lang, Jens ; Martin, Alexander ; Morsi, Antonio (2010):
Combination of Nonlinear and Linear Optimization of Transient Gas Networks.
In: INFORMS Journal on Computing, ISSN 1091-9856,
DOI: 10.1287/ijoc.1100.0429,
[Online-Edition: http://dx.doi.org/10.1287/ijoc.1100.0429],
[Artikel]

2009

Bales, Pia ; Kolb, Oliver ; Lang, Jens
Allen, G. ; Nabrzyski, J. ; Seidel, E. ; van Albada, G. D. ; Dongarra, J. ; Sloot, P. M. A. (Hrsg.) (2009):
Hierarchical modelling and model adaptivity for gas flow on networks.
In: Computational Science — ICCS 2009, Springer Berlin Heidelberg, S. 337-346, DOI: 10.1007/978-3-642-01970-8_33,
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-642-01970-8_...],
[Buchkapitel]

2008

Wimmer, G. ; Clemens, M. ; Lang, Jens (2008):
Calculation of magnetic fields with finite elements.
In: From nano to space : applied mathematics inspired by Roland Bulirsch / Michael H. Breitner ... (ed.) . - Berlin [u.a.] : Springer, 2008 SBN: 978-3-540-74237-1, Berlin [u.a.], Springer, [Buchkapitel]

2007

Lang, Jens ; Debrabant, Kristian ; Verwer, Jan (2007):
On global error control for parabolic PDEs.
In: Oberwolfach reports, S. 1702--1704, 4, [Artikel]

Kolb, Oliver ; Lang, Jens ; Bales, Pia (2007):
Adaptive linearized models for optimization of gas networks.
In: International Congress on Industrial and Applied Mathematics <Zürich,2007> ; PAMM, Proc. Appl. Math. Mech. 7 ; 1061301-1061302, [Konferenzveröffentlichung]

Lang, Jens ; Verwer, J. (2007):
On global error estimation and control for initial value problems.
In: SIAM Journal on Scientific Computing, S. 1460-1475, 29, [Artikel]

2005

Teleaga, Ioan ; Lang, Jens (2005):
Towards the description of modelling and numerical errors in LES.
In: Proceedings of the 1st workshop "Quality Assessment of Unsteady Methods for Turbulent Combustion Prediction and Validation", June 16-17, Seeheim, Germany, (2005), [Konferenzveröffentlichung]

2002

Lang, Jens ; Cao, Weiming ; Huang, Weizhang ; Russell, Robert (2002):
D. a two-dimensional moving finite element method with local refinement based on a posteriori error estimates.
Darmstadt, Technische Hochschule Darmstadt, Fachbereich Mathematik, 2252, [Buch]

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