Prof. Dr. Jens Lang – Publikationen

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Bücher

Adaptive Multilevel Solution of Nonlinear Parabolic PDE Systems.
Theory, Algorithm, and Applications, Lecture Notes in Computational Sciences and Engineering, Volume 16, Springer Verlag, 2000
Mathematical Optimization of Water Networks.
International Series of Numerical Mathematics 162. Martin, Klamroth, Lang, Leugering, Morsi, Oberlack, Ostrowski, Rosen (eds.), Birkhäuser, Springer Basel 2012
Multiphysics Problems in Computational Engineering.
Int. J. Comput. Science and Engineering 9. Behr, Bode, Buecker, Lang, Rank, Schaefer (eds.), Inderscience Enterprise Ltd, 2014
Multiscale Models in Mechano and Tumor Biology.
Modeling, Homogenization, and Applications. Lecture Notes in Computational Science and Engineering, Volume 122, Gerisch, Penta, Lang (eds.), Springer Nature, 2017
Numerical Solution of Differential and Differential-Algebraic Equations. Selected Papers from NUMDIFF-15
Journal of Computational and Applied Mathematics, Vol. 387:112611. Arnold, Celledoni, Frank, Lang, Podhaisky, Weiner (eds.), Elsevier 2021
P. Steinbach, D.O. Schulte, B. Welsch, I. Sass, J. Lang
Quantification of Bore Path Uncertainty in Borehole Heat Exchanger Arrays
Geothermics 97:102194, 2021
Y. Mao, A. Gerisch, J. Lang, M. Böhm, F. Müller-Plathe
Uncertainty quantification guided parameter selection in a fully coupled molecular dynamics-finite element model of the mechanical behaviour of polymers
J. Chem. Theory Comput. 17:3760-3771, 2021
J. Lang, P. Domschke, E. Strauch
Adaptive Single- and Multilevel Stochastic Collocation Methods for Uncertain Gas Transport in Large-Scale Networks
arXiv:2012.03565, will be published in SEMA-SIMAI Springer Series, 2021
P. Domschke, O. Kolb, J. Lang
Fast and Reliable Transient Simulation and Continuous Optimization of Large-Scale Gas Networks
arXiv:2012.02737
M. Schuster, E. Strauch, M. Gugat, J. Lang
Probabilistic Constrained Optimization on Flow Networks
Optimization and Engineering (2021), https://doi.org/10.1007/s11081-021-09619-x
D. Frenzel, J. Lang
A Third-Order Weighted Essentially Non-Oscillatory Scheme in Optimal Control Problems Governed by Nonlinear Hyperbolic Conservation Laws
Computational Optimization and Applications, 80:301-320, 2021
J. Lang, B.A. Schmitt
Discrete Adjoint Implicit Peer Methods in Optimal Control
arXiv:2002.12081
J. Lang
Rosenbrock-Wanner Methods: Construction and Mission
in Rosenbrock-Wanner-Type Methods, p. 1-17, Jax, Bartel, Ehrhardt, Günther, Steinebach (eds.), Mathematics Online First Collection Vol. 1, Springer, 2021
S. Ullmann, C. Müller, J. Lang
Stochastic Galerkin Reduced Basis Methods for Parametrized Linear Convection-Diffusion-Reaction Equations
Fluids 6:263, 2021, https://doi.org/10.3390/fluids6080263
Alle Artikel sortiert nach Thema:
D. Schröder, A. Gerisch, J. Lang
Space-time adaptive linearly implicit Peer methods for parabolic problems
J. Comp. Appl. Math., Vol. 316, pp. 330-344, 2016; doi:10.1016/j.cam.2016.08.023
S. Ullmann, M. Rotkvic, J. Lang
POD-Galerkin reduced-order modeling with adaptive finite element snapshots
J. Comput. Phys., Vol. 325, pp. 244-258, 2016; doi:10.1016/j.jcp.2016.08.018
K. Debrabant, J. Lang
On asymptotic global error estimation and control of finite difference solutions for semilinear parabolic equations,
Computer Methods in Applied Mechanics and Engineering, Vol. 288, pp. 110-126, 2015, doi:10.1016/j.cma.2014.11.032, arXiv:0911.2656v2http://arxiv.org/abs/0911.2656v2
K. Debrabant, J. Lang
On Global Error Estimation and Control of Finite Difference Solutions for Parabolic Equations,
In: Adaptive Modeling and Simulation 2013, ed. by J. P. Moitinho de Almeida, P. Díez, C. Tiago and N. Parés, International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain, 2013, pp. 187–198
M. Braack, J. Lang, N. Taschenberger
Stabilized finite elements for transient flow problems on varying spatial meshes,
Computer Methods in Applied Mechanics and Engineering, Vol. 253, pp. 106-116, DOI 10.1016/j.cma.2012.08.006, 2012
W. Huang, L. Kamenski, J. Lang
Adaptive finite elements with anisotropic meshes,
Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH 2011, the 9th European Conference on Numerical Mathematics and Advanced Applications, Leicester, September 2011, A. Cangiani et al. (eds.), pp. 33-42 , Springer 2013
P. Domschke, O. Kolb, J. Lang
Adjoint-based control of model and discretization errors for gas flow in networks,
Int. J. Mathematical Modelling and Numerical Optimisation, Vol. 2, Number 2 (2011), pp. 175-193
J. Lang, M. Lilienthal, S. Schnepp
Eiffizienz durch adaptive Simulationsverfahren,
in thema FORSCHUNG 2/2011, Computational Engineering, TU Darmstadt, 16-21, Germany
P. Domschke, O. Kolb, J. Lang
Adjoint-based control of model and discretisation errors for gas and water supply networks,
In: Computational Optimization and Applications in Engineering and Industry, Yang, Koziel (eds.), Studies in Computational Intelligence, Vol. 359, pp. 1-17, Springer (2011)
M. Frank, J. Lang, M. Schäfer
Adaptive Finite Element Simulation of the Time-dependent Simplified PN Equations,
Journal of Scientific Computing, Vol. 49, Number 3 (2011), pp. 332-350
A. Gerisch, J. Lang, H. Podhaisky, R. Weiner
High-order linearly implicit two-step peer – finite element methods for time-dependent PDEs,
Appl. Numer. Math. 59 (2009), pp. 624-638
P. Bales, O. Kolb, J. Lang
Hierarchical modelling and model adaptivity for gas flow on networks,
Lecture Notes in Computer Science 5544, Part I, pp. 337-346, Springer-Verlag (2009)
M. Clemens, J. Lang, D. Teleaga, G. Wimmer
Adaptivity in Space and Time for Magnetoquasistatics,
J. Comput. Mathematics 27 (2009), pp. 642-656
J. Lang, D. Teleaga
Towards a Fully Space-Time Adaptive FEM for Magnetoquasistatics,
IEEE Trans. Magn. 44 (2008), pp. 1238-1241
B. Erdmann, J. Lang, S. Matera, K. Wilmanski
Adaptive Linearly Implicit Methods for Linear Poroelastic Equations,
ZIB-Report 06-37 (July 2006), Zuse-Institute Berlin
P. Colle Franzone, P. Deuflhard, B. Erdmann, J. Lang, L.F. Pavarino
Adaptivity in Space and Time for Reaction-Diffusion Systems in Electrocardiology,
SIAM J. Sci. Comput. 28 (2006), pp. 942-962.
J. Lang
Adaptive Computation for Boundary Control of Radiative Heat Transfer in Glass,
Journal of Computational and Applied Mathematics 183 (2005), pp. 312-326
A. Klar, J. Lang, M. Seaid
Adaptive Solution of SPN-Approximations to Radiative Heat Transfer in Glass,
International Journal of Thermal Sciences 44 (2005), pp. 1013-1023
C. Kober, B. Erdmann, J. Lang, R. Sader, H.-F. Zeilhofer
Adaptive Finite Element Simulation of the Human Mandible Using a New Physiological Model of the Masticatory Muscles,
in Proceedings of the 75th Annual GAMM-Meeting of the GAMM Dresden, PAMM, Vol. 4, Issue 1, Dec. 2004, pp. 332-333
J. Lang, B. Erdmann, C. Kober, P. Deuflhard, H.-F. Zeilhofer, R. Sader
Effiziente und zuverlässige Finite-Elemente-Methoden zur Simulation des menschlichen Unterkiefers,
in: W. Alt, M. Hermann (eds.), Berichte des Interdisziplinären Zentrums für Wissenschaftliches Rechnen, Friedrich-Schiller-Universität Jena, Band 1, 2003, pp. 49-57
B. Erdmann, J. Lang, R. Roitzsch
KARDOS User's Guide,
ZR 02-42 (2002), Konrad-Zuse-Zentrum Berlin
J. Lang, B. Erdmann
Three-Dimensional Adaptive Computation of Brine Transport in Porous Media,
Numerical Heat Transfer: Applications 42 (2002) 107-119
B. Erdmann, C. Kober, J. Lang, P. Deuflhard, H.-F. Zeilhofer, R. Sader
Efficient and Reliable Finite Element Methods for Simulation of the Human Mandible,
in Proceedings of 9th Workshop on The Finite Element Method in Biomedical Engineering, Biomechanics and Related Fields, Ulm, Germany, July 2002
J. Lang, B. Erdmann
Three-Dimensional Adaptive Computation of Brine Transport in Porous Media,
in: G. de Vahl Davis and E. Leonardi (eds.), CHT'01: Advances in Computational Heat Transfer, 1001-1008 (Begell House Inc., New York 2001)
B. Erdmann, J. Lang, R. Roitzsch
Adaptive Linearly Implicit Methods for Instationary Nonlinear Problems,
in Finite Element Methods: Three-Dimensional Problems, Gakuta International Series: Mathematical Sciences and Applications, Vol. 15 (2001) 66-75
J. Lang, W. Merz
Two-Dimensional Adaptive Simulation of Dopant Diffusion in Silicon,
Computing and Visualization in Science 3 (2001) 169-176
W. Merz, J. Lang
Analysis and Simulation of Two-Dimensional Dopant Diffusion in Silicon,
in K.-H. Hoffmann (ed.), Smart Materials, Proceedings of the First Caesarium, Springer--Verlag, 2001
J. Lang, B. Erdmann
Adaptive Linearly Implicit Methods for Heat and Mass Transfer,
in: A.V. Wouver, P. Saucez, W.E. Schiesser (eds.), Adaptive Method of Lines, 295-316 (CRC Press, 2000)
M.J. Lourenco, S.C.S. Rosa, C.A. Nieto de Castro, C. Albuquerque, B. Erdmann, J. Lang, R. Roitzsch
Simulation of the Transient Heating in an Unsymmetrical Coated Hot-Strip Sensor with a Self-Adaptive Finite Element Method,
Int. J. Thermophysics 21 (2000) 377-384
J. Lang
Adaptive Multilevel Solutions of Nonlinear Parabolic PDE Systems,
in: P. Neittaanmäki, T. Tiihonen, P. Tarvainen (eds.), Numerical Mathematics and Advanced Applications, 141-145 (World Scientific, Singapore, New Jersey, London, Hong Kong 2000)
F. Seewald, A. Pollei, M. Kraume, W. Mittelbach, J. Lang
Numerical Calculation of the Heat Transfer in an Adsorption Energy Storage with KARDOS,
SC 99-04 (1999), Konrad-Zuse-Zentrum Berlin
J. Lang, B. Erdmann, M. Seebass
Impact of Nonlinear Heat Transfer on Temperature Distribution in Regional Hyperthermia,
IEEE Transaction on Biomedical Engineering 46 (1999) 1129-1138
J. Lang, W. Merz
Dynamic Mesh Design Control in Semiconductor Device Simulation,
in: V.B. Bajic (ed.), Advances in Systems, Signals, Control and Computers, Vol. 2, 82-86 (Academy of Nonlinear Science, Durban, South Africa, 1998)
M.J. Lourenco, S.C.S. Rosa, C.A. Nieto de Castro, C. Albuquerque, B. Erdmann, J. Lang, R. Roitzsch
Simulation of the Transient Heating in an Unsymmetrical Coated Hot-Strip Sensor with a Self-Adaptive Finite Element Method,
in: M.S. Kim and S.T. Ro (eds.), Proc. 5th Asian Thermophysical Properties Conference, Seoul, 1998, Vol. 1, 91-94 (Seoul National University, 1998)
J. Lang
Adaptive FEM for Reaction-Diffusion Equations,
Appl. Numer. Math. 26 (1998) 105-116
J. Fröhlich, J. Lang
Twodimensional Cascadic Finite Element Computations of Combustion Problems,
Comp. Meth. Appl. Mech. Engrg. 158 (1998) 255-267
R. Roitzsch, B. Erdmann, J. Lang
The Benefits of Modularization: from KASKADE to KARDOS,
SC 98-15 (1998), Konrad-Zuse-Zentrum Berlin
B. Erdmann, J. Lang, M. Seebass
Adaptive Solutions of Nonlinear Parabolic Equations with Application to Hyperthermia Treatments,
in: G. de Vahl Davis and E.Leonardi (eds.), CHT'97: Advances in Computational Heat Transfer,103-110, (Begell House Inc., New York 1998)
J. Lang, W. Merz
Numerical Simulation of Single Species Dopant Diffusion in Silicon under Extrinsic Conditions,
SC 97-47 (1997), Konrad-Zuse-Zentrum Berlin
J. Lang, B. Erdmann, R. Roitzsch
Adaptive Time-Space Discretization for Combustion Problems,
in: A. Sydow (ed.), 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, Vol. 2 (Numerical Mathematics), 149-155 (Wissenschaft und Technik Verlag, Berlin, 1997)
J. Lang, B. Erdmann, R. Roitzsch
Three-Dimensional Fully Adaptive Solution of Thermo-Diffusive Flame Propagation Problems,
in: R.W. Lewis, J.T.Cross (eds.), Numerical Methods in Thermal Problems, 857-862 (Pineridge Press, Swansea, UK 1997)
J. Lang
Numerical Solution of Reaction-Diffusion Equations,
in: F.Keil, W.Mackens, H.Voss, J.Werther (eds.), Scientific Computing in Chemical Engineering, 136-141 (Springer 1996)
J. Fröhlich, J. Lang, R. Roitzsch
Selfadaptive Finite Element Computations with Smooth Time Controller and Anisotropic Refinement,
in: J.A. Desideri, P.Le. Tallec, E. Onate, J. Periaux, E. Stein (eds.), Numerical Methods in Engineering '96, 523-527 (John Wiley & Sons, New York 1996)
P. Deuflhard, J. Lang, U. Nowak
Adaptive Algorithms in Dynamical Process Simulation,
in: H. Neunzert (ed.), Progress in Industrial Mathematics at ECMI 94, 122-137 (Wiley-Teubner 1996)
J. Lang
High-Resolution Self-Adaptive Computations on Chemical Reaction-Diffusion Problems with Internal Boundaries,
Chem. Engrg. Sci. 51 (1996) 1055-1070
J. Lang, J. Fröhlich
Selfadaptive Finite Element Computations of Combustion Problems,
in: R.W.Lewis, P.Durbetaki (eds.), Numerical Methods in Thermal Problems Vol. IX, 761-769 (Pineridge Press, Swansea 1995)
J. Lang
Two-Dimensional Fully Adaptive Solutions of Reaction-Diffusion Equations,
Appl. Numer. Math. 18 (1995) 223-240
J. Lang, A. Walter
An Adaptive Discontinuous Finite Element Method for the Transport Equation,
J. Comp. Phys. 117 (1995) 28-34
J. Lang
KARDOS – KAskade Reaction Diffusion One-dimensional System,
TR 93-9 (1993), Konrad-Zuse-Zentrum Berlin
B. Erdmann, J. Lang, R. Roitzsch
KASKADE – Manual,
TR 93-5 (1993), Konrad-Zuse-Zentrum Berlin
J. Lang, A. Walter
An Adaptiv Rothe-Method for Nonlinear Reaction-Diffusion-Systems,
Appl. Numer. Math. 13 (1993) 135-146
J. Lang
Raum- und zeitadaptive Finite-Elemente-Methoden für Reaktions-Diffusionsgleichungen,
in Modellierung Technischer Flammen, Proc. 8.TECFLAM--Seminar, 115-123 (Darmstadt 1992)
J. Lang, A. Walter
A Finite Element Method Adaptive in Space and Time for Nonlinear Reaction-Diffusion-Systems,
Impact Comput. Sci. Engrg. 4 (1992) 269-314
J. Lang
An Adaptive Finite Element Method for Convection-Diffusion Problems by Interpolation Techniques,
TR 91-4 (1991), Konrad-Zuse-Zentrum Berlin
M. Schneider, J. Lang
Well-Balanced and Asymptotic Preserving IMEX-Peer Methods
Conference Proceedings of ENUMATH 2019, Springer, arXiv:2010.13479
M. Schneider, J. Lang, R. Weiner
Super-Convergent Implicit-Explicit Peer Methods with Variable Step Sizes
J. Comput. Appl. Math., Vol. 387, pp. 112501, 2021; doi:10.1016/j.cam.2019.112501
W. Huang, L. Kamenski, J. Lang
Conditioning of Implicit Runge-Kutta Integration for Finite Element Approximation of Linear Diffusion Equations on Anisotropic Meshes
J. Comput. Appl. Math., Vol. 387, pp. 112497, 20121; doi:10.1016/j.cam.2019.112497
M. Schneider, J. Lang, W. Hundsdorfer
Extrapolation-Based Super-Convergent Implicit-Explicit Peer Methods with A-stable Implicit Part
J. Comput. Physics, Vol. 367, pp. 121-133, 2018; doi:10.1016/j.jcp.2018.04.006
J. Lang, W. Hundsdorfer
Extrapolation-based implicit-explicit Peer methods with optimised stability regions
J. Comput. Phys., Vol. 337, pp. 203-215, 2017; doi:10.1016/j.jcp.2017.02.034
D. Schröder, A. Gerisch, J. Lang
Space-time adaptive linearly implicit Peer methods for parabolic problems
J. Comp. Appl. Math., Vol. 316, pp. 330-344, 2016; doi:10.1016/j.cam.2016.08.023
L. Wagner, J. Lang, O. Kolb
Second order implicit schemes for scalar conservation laws,
Lecture Notes in Computational Science and Engineering, Vol. 112, pp. 33-41, Springer; B. Karasözen, M. Manguoglu, S. Göktepe, Ö. Ugur (Eds.), Numerical Mathematics and Advanced Applications, ENUMATH 2015, Ankara, 14-18 September 2015.
K. Debrabant, J. Lang
On asymptotic global error estimation and control of finite difference solutions for semilinear parabolic equations,
Computer Methods in Applied Mechanics and Engineering, Vol. 288, pp. 110-126, 2015, doi:10.1016/j.cma.2014.11.032, arXiv:0911.2656v2
D. Schröder, J. Lang, R. Weiner
Stability and consistency of discrete adjoint implicit peer methods,
Journal of Computational and Applied Mathematics, Vol. 262, pp. 73-86, Elsevier 2014.
K. Kuhn, J. Lang
Comparison of the asymptotic stability for multirate Rosenbrock methods,
Journal of Computational and Applied Mathematics, Vol. 262, pp. 139-149, Elsevier 2014.
J. Lang, J. Verwer
W-Methods in Optimal Control,
Numer. Math., Vol. 124, pp. 337-360, 2013
B. Gottermeier, J. Lang
Adaptive Two-Step Peer Methods for Incompressible Navier-Stokes Equations,
Numerical Mathematics and Advanced Applications 2009, Part II, pp. 387-395, Proceedings of ENUMATH 2009, G. Kreiss. P. Lötstedt, A. Malqvist, M. Neytcheva (Eds.), Uppsala, Sweden
B. Gottermeier, J. Lang
Adaptive Two-Step Peer Methods for Thermally Coupled Incompressible Flow,
Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010 J.C.F. Pereira, A. Sequeira and J.M.C. Pereira (Eds), Lisbon, Portugal, 14-17 June 2010
A. Gerisch, J. Lang, H. Podhaisky, R. Weiner
High-order linearly implicit two-step peer – finite element methods for time-dependent PDEs,
Appl. Numer. Math. 59 (2009), pp. 624-638
I. Teleaga, J. Lang
Higher-order linearly implicit one-step methods for three-dimensional incompressible Navier-Stokes equations,
Studia Babes-Bolyai Matematica 53 (2008), pp. 109-121
B. Erdmann, J. Lang, S. Matera, K. Wilmanski
Adaptive Linearly Implicit Methods for Linear Poroelastic Equations,
ZIB-Report 06-37 (July 2006), Zuse-Institute Berlin
J. Lang, J. Verwer
On Global Error Estimation and Control for Initial Value Problems,
SIAM J. Sci. Comput. 29 (2007), pp. 1460-1475
B. Erdmann, J. Lang, R. Roitzsch
Adaptive Linearly Implicit Methods for Instationary Nonlinear Problems,
in Finite Element Methods: Three-Dimensional Problems, Gakuta International Series: Mathematical Sciences and Applications, Vol. 15 (2001) 66-75
J. Lang, J. Verwer
ROS3P – an Accurate Third-Order Rosenbrock Solver Designed for Parabolic Problems,
BIT 41 (2001) 730-737
J. Lang, B. Erdmann
Adaptive Linearly Implicit Methods for Heat and Mass Transfer,
in: A.V. Wouver, P. Saucez, W.E. Schiesser (eds.), Adaptive Method of Lines, 295-316 (CRC Press, 2000)
J. Lang
Adaptive Linearly Implicit Methods in Dynamical Process Simulation,
CD-ROM Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS, Barcelona, 2000)
J. Lang
Adaptive Multilevel Solutions of Nonlinear Parabolic PDE Systems,
in: P. Neittaanmäki, T. Tiihonen, P. Tarvainen (eds.), Numerical Mathematics and Advanced Applications, 141-145 (World Scientific, Singapore, New Jersey, London, Hong Kong 2000)
Z. Sun, M. Braack, J. Lang
An Adaptive Moving Finite Element Method for Steady Low Mach Number Compressible Combustion Problems
International Journal of Numerical Methods in Fluids, Vol. 92, pp. 1081–1095, 2020, doi:10.1002/fld.4818
C. Gräßle, M. Hinze, J. Lang, S. Ullmann
POD model order reduction with space-adapted snapshots for incompressible flows
Advances in Computational Mathematics, Vol. 45, pp. 2401–2428, 2019; doi:10.1007/s10444-019-09716-7
C. Gräßle, M. Hinze, J. Lang, S. Ullmann
Model order reduction for space-adaptive simulations of Navier-Stokes
Proceedings of Applied Mathematrics and Mechanics, 2019; doi:10.1002/pamm.201900435
C. Müller, S. Ullmann, J. Lang
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with random viscosity
SIAM/ASA J. Uncertainty Quantification, Vol. 7, pp. 787-805, 2019; doi:10.1137/18M1163920
J. Lang, P. Mindt
Entropy-Preserving Coupling Conditions for One-dimensional Euler Systems at Junctions
Networks and Heterogeneous Media, Vol. 13, pp. 177-190, 2018; doi:10.3934/nhm.2018008
L. Wagner, J. Lang, O. Kolb
Second order implicit schemes for scalar conservation laws,
Lecture Notes in Computational Science and Engineering, Vol. 112, pp. 33-41, Springer; B. Karasözen, M. Manguoglu, S. Göktepe, Ö. Ugur (Eds.), Numerical Mathematics and Advanced Applications, ENUMATH 2015, Ankara, 14-18 September 2015.
C. Liersch, M. Frankenbach, J. Fröhlich, J. Lang
Recent Progress in designing moving meshes for complex turbulent flows,
Meteorologische Zeitschrift, Vol. 23, No. 4, pp. 425-439, 2014 (open access article)
C. Hertel, M. Schümichen, J. Lang, J. Fröhlich
Using a Moving Mesh PDE for Cell Centres to Adapt a Finite Volume Grid,
Flow, Turbulence and Combustion, Vol. 90, Issue 4, pp. 785-812, Springer 2013.
S. Ullmann, S. Löbig, J. Lang
Adaptive Large Eddy Simulation and Reduced-Order Modeling,
In: Flow and Combustion in Advanced Turbine Combustors, J. Janicka et al. (eds.), Fluid Mechanics and Its Application, Vol. 102, pp. 349-378, Springer 2013
C. Hertel, M. Schümichen, S. Löbig, J. Fröhlich, J. Lang
Adaptive Large Eddy Simulation with Moving Meshes,
Theoretical and Computational Fluid Dynamics, Volume 27, Issue 6, pp. 817-841, Springer 2013
B. Gottermeier, J. Lang
Adaptive Two-Step Peer Methods for Incompressible Navier-Stokes Equations,
Numerical Mathematics and Advanced Applications 2009, Part II, pp. 387-395, Proceedings of ENUMATH 2009, G. Kreiss. P. Lötstedt, A. Malqvist, M. Neytcheva (Eds.), Uppsala, Sweden
S. Ullmann, J. Lang
A POD-Galerkin Reduced Model with Updated Coefficients for Smagorinsky LES,
Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010 J.C.F. Pereira, A. Sequeira and J.M.C. Pereira (Eds) Lisbon, Portugal, 14-17 June 2010
B. Gottermeier, J. Lang
Adaptive Two-Step Peer Methods for Thermally Coupled Incompressible Flow,
Proceedings of the V European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010 J.C.F. Pereira, A. Sequeira and J.M.C. Pereira (Eds), Lisbon, Portugal, 14-17 June 2010
O. Kolb, J. Lang, P. Bales
An Implicit Box Scheme for Subsonic Compressible Flow with Dissipative Source Term,
Numerical Algorithms 53 (2010), pp. 293-307
S. Löbig, A. Dörnbrack, J. Fröhlich, C. Hertel, Ch. Kühnlein, J. Lang
Towards large eddy simulation on moving grids,
Proc. Appl. Math. Mech. 9, 445-446 (2009)
I. Teleaga, J. Lang
Higher-order linearly implicit one-step methods for three-dimensional incompressible Navier-Stokes equations,
Studia Babes-Bolyai Matematica 53 (2008), pp. 109-121
I. Teleaga, J. Lang
Towards the Description of Modelling and Numerical Errors in LES,
in: Proceedings of Quality Assessment of Unsteady Methods for Turbulent Combustion Prediction and Validation, June 16-17, Seeheim, Germany, (2005)
J. Lang
Optimale Berechnungsstrategien in der Strömungssimulation,
in thema FORSCHUNG 2/2003, TU Darmstadt, 58-63, Germany, ISSN 1434-7768, 2003
J. Lang
Adaptive Incompressible Flow Computations with Linearly Implicit Time Discretization and Stabilized Finite Elements,
in: K.D. Papailiou, D. Tsahalis, J. Periaux, C. Hirsch, M. Pandolfi (eds.), Computational Fluid Dynamics '98, 200-204 (John Wiley & Sons, New York 1998)
M. Clemens, J. Lang, D. Teleaga, G. Wimmer
Transient 3D Magnetic Field Simulation with Combined Space and Time Mesh Adaptivity for Lowest Order WFEM Formulations,
IET Sci. Meas. & Technol. 3 (2009), pp. 377-383
D. Teleaga, J. Lang
Numerically Solving Maxwell's Equations. Implementation Issues for Magnetoquasistatics,
Report No. 2551 (2008), Technische Universität Darmstadt, Department of Mathematics
M. Clemens, J. Lang, D. Teleaga, G. Wimmer
Space and Time Adaptive Calculation of Transient 3D Magnetic Fields,
in: K. Kunisch, G. Of, O. Steinebach (eds.), Numerical Mathematics ans Advanced Applications, Proceedings of ENUMATH 2007, Graz, pp. 109-116
M. Clemens, J. Lang, D. Teleaga, G. Wimmer
Adaptivity in Space and Time for Magnetoquasistatics,
J. Comput. Mathematics 27 (2009), pp. 642-656
G. Wimmer, M. Clemens, J. Lang
Calculation of Magnetic Fields with Finite Elements,
in: M.H. Breitner, G. Denk, P. Rentrop (eds.), From Nano to Space, Applied Mathematics Inspired by Roland Bulirsch, Springer-Verlag Berlin Heidelberg (2007)
J. Lang, D. Teleaga
Towards a Fully Space-Time Adaptive FEM for Magnetoquasistatics,
IEEE Trans. Magn. 44 (2008), pp. 1238-1241
P. Domschke, O. Kolb, J. Lang
Adjoint-based error control for the simulation and optimization of gas and water supply networks,
Applied Mathematics and Computation, Vol. 259, pp. 1003-1018, 2015; doi:10.1016/j.amc.2015.03.029
S. Bott, D. Clever, J. Lang, S. Ulbrich, C.Ziems, D. Schröder
On a Fully Adaptive SQP Method for PDAE-Constrained Optimal Control Problems with Control and State Constraints,
International Series of Numerical Mathematics, Vol. 165, pp. 85-108, 2014, Springer Basel AG
D. Clever, J. Lang, D. Schröder
Model Hierarchy Based Optimal Control of Radiative Heat Transfer,
Int. J. Computational Science and Engineering, Vol. 9, Nos. 5/6, pp. 509-525, Inderscience Enterprises Ltd. 2014.
J. Lang, J. Verwer
W-Methods in Optimal Control,
Numer. Math., Vol. 124, pp. 337-360, 2013
O. Kolb, J. Lang
Simulation and Continuous Optimization,
In: Mathematical Optimization of Water Networks, A. Martin et al. (eds.), International Series of Numerical Mathematics, Vol. 162, pp. 17-33, Springer Basel 2012
O. Kolb, A. Morsi, J. Lang, A. Martin
Nonlinear and Mixed Integer Linear Programming,
In: Mathematical Optimization of Water Networks, A. Martin et al. (eds.), International Series of Numerical Mathematics, Vol. 162, pp. 55-65, Springer Basel 2012
D. Clever, J. Lang, D. Schröder
Model Hierarchy Based Optimal Control of Radiative Heat Transfer,
Preprint, December 2011, Department of Mathematics, Technische Universität Darmstadt
D. Clever, J. Lang, S. Ulbrich, C.Ziems
Generalized Multilevel SQP-methods for PDAE-constrained Optimization Based on Space-Time Adaptive PDAE Solvers,
International Series of Numerical Mathematics, Vol. 160, pp. 37-60, 2011 Springer Basel AG
D. Clever, J. Lang
Optimal Control of Radiative Heat Transfer in Glass Cooling with Restrictions on the Temperature Gradient,
Optim. Control Appl. Meth., Vol. 33 (2012), pp. 157-175, published online 31 January 2011
B. Geissler, O. Kolb, J. Lang, G. Leugering, A. Martin, A. Morsi
Mixed Integer Linear Models for the Optimization of Dynamic Transport Networks,
Mathematical Methods of Operations Research, Vol. 73, Issue 3 (2011), pp. 339-362
D. Clever, J. Lang, S. Ulbrich, C. Ziems
Combination of an Adaptive Multilevel SQP Method and a Space-Time Adaptive PDAE Solver for Optimal Control Problems,
Procedia Computer Science 1 (2010), pp. 1429-1437
P. Domschke, B. Geissler, O. Kolb, J. Lang, A. Martin, A. Morsi
Combination of Nonlinear and Linear Optimization of Transient Gas Networks,
INFORMS Journal on Computing 23 (2011), No. 4, pp. 605-617
J. Lang
Adaptive Computation for Boundary Control of Radiative Heat Transfer in Glass,
Journal of Computational and Applied Mathematics 183 (2005), pp. 312-326
B. Erdmann, J. Lang, M. Seebass
Optimization of Temperature Distributions for Regional Hyperthermia Based on a Nonlinear Heat Transfer Model,
in: K. Diller (ed.), Biotransport: Heat and Mass Transfer in Living Systems, Annals of the New York Academy of Sciences, Vol. 858, 36-46, 1998
J. Lang, R. Scheichl, D. Silvester
A Fully Adaptive Multilevel Stochastic Collocation Strategy for Solving Elliptic PDEs with Random Data
Journal of Computational Physics, Vol. 419, 2020; doi:10.1016/j.jcp.2020.109692
C. Müller, S. Ullmann, J. Lang
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with random viscosity
SIAM/ASA J. Uncertainty Quantification, Vol. 7, pp. 787-805, 2019; doi:10.1137/18M1163920
C. Müller, S. Ullmann, J. Lang
A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity
Lecture Notes in Computational Science and Engineering, Vol. 124, Recent Advances in Computational Engineering – Darmstadt 2017, M. Schäfer, M. Behr, M. Mehl, B. Wohlmuth (eds.), pp. 63-87, Springer 2018.
C. Spannring, S. Ullmann, J. Lang
A weighted reduced basis method for parabolic PDEs with random data
Lecture Notes in Computational Science and Engineering, Vol. 124, Recent Advances in Computational Engineering – Darmstadt 2017, M. Schäfer, M. Behr, M. Mehl, B. Wohlmuth (eds.), pp. 145-161, Springer 2018.
S. Liu, A. Gerisch, M. Rahimi, J. Lang, M. Böhm, F. Müller-Plathe
Robustness of a new molecular dynamics–finite element coupling approach for soft matter systems analyzed by uncertainty quantification,
The Journal of Chemical Physics 142, 104105 (2015); doi: 10.1063/1.4914020
S. Ullmann, J. Lang
POD-Galerkin Modelling and Sparse-Grid Collocation for a Natural Convection Problem with Stochastic Boundary Conditions,
Lecture Notes on Computational Science and Engineering, Vol. 97, Sparse Grids and Applications – Munich 2012, J. Garcke, D. Pflüger (eds.), pp. 295-316, Springer 2014.
The final publication is available at link.springer.com.
B. Schieche, J. Lang
Uncertainty Quantification for Poiseuille Flow Using Stochastic Collocation,
Int. J. Computational Science and Engineering, Vol. 9, Nos. 5/6, pp. 465-477, Inderscience Enterprises Ltd. 2014.
B. Schieche, J. Lang
Adjoint Error Estimation for Stochastic Collocation Methods,
Lecture Notes on Computational Science and Engineering, Vol. 97, Sparse Grids and Applications – Munich 2012, J. Garcke, D. Pflüger (eds.), pp. 271-294, Springer 2014.
The final publication is available at link.springer.com.
B. Schieche, J. Lang
Uncertainty Quantification for Poiseuille Flow Using Stochastic Collocation,
Preprint, December 2011, Department of Mathematics, Technische Universität Darmstadt
Z. Sun, M. Braack, J. Lang
An Adaptive Moving Finite Element Method for Steady Low Mach Number Compressible Combustion Problems
International Journal of Numerical Methods in Fluids, Vol. 92, pp. 1081–1095, 2020, doi:10.1002/fld.4818
W. Huang, L. Kamenski, J. Lang
Conditioning of Implicit Runge-Kutta Integration for Finite Element Approximation of Linear Diffusion Equations on Anisotropic Meshes
J. Comput. Appl. Math., 2019; doi:10.1016/j.cam.2019.112497
W. Huang, L. Kamenski, J. Lang
Stability of explicit one-step methods for P1-finite element approximation of linear diffusion equations on anisotropic meshes,
SIAM J. Numer. Anal., Vol. 54, pp. 1612-1634, 2016; doi:10.1137/130949531
W. Huang, L. Kamenski, J. Lang
Stability of explicit Runge-Kutta methods for higher order finite element approximation of linear parabolic equations,
Preprint No. 1904, Weierstrass-Institute for Applied Analysis and Stochastics, Berlin, 2013.
Published in Numerical Mathematics and Advanced Applications – ENUMATH 2013, Abdulle, A., Deparis, S., Kressner, D., Nobile, F., Picasso, M. (Eds.), Lecture Notes in Computational Science and Engineering, Vol. 103, pp. 165-173, 2015.
C. Liersch, M. Frankenbach, J. Fröhlich, J. Lang
Recent Progress in designing moving meshes for complex turbulent flows,
Meteorologische Zeitschrift, Vol. 23, No. 4, pp. 425-439, 2014 (open access article)
W. Huang, L. Kamenski, J. Lang
Stability of explicit Runge-Kutta methods for finite element approximation of linear parabolic equations on anisotropic meshes,
Preprint No. 1869, Weierstrass-Institute for Applied Analysis and Stochastics, Berlin, 2013.
C. Hertel, M. Schümichen, J. Lang, J. Fröhlich
Using a Moving Mesh PDE for Cell Centres to Adapt a Finite Volume Grid,
Flow, Turbulence and Combustion, Vol. 90, Issue 4, pp. 785-812, Springer 2013.
W. Huang, L. Kamenski, J. Lang
Adaptive finite elements with anisotropic meshes,
Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH 2011, the 9th European Conference on Numerical Mathematics and Advanced Applications, Leicester, September 2011, A. Cangiani et al. (eds.), pp. 33-42 , Springer 2013
C. Hertel, M. Schümichen, S. Löbig, J. Fröhlich, J. Lang
Adaptive Large Eddy Simulation with Moving Meshes,
Theoretical and Computational Fluid Dynamics, Volume 27, Issue 6, pp. 817-841, Springer 2013
W. Huang, L. Kamenski, J. Lang
A new anisotropic mesh adaptation method based upon hierarchical a posteriori error estimates,
J. Comp. Phys. 229 (2010), pp. 2179-2198
S. Löbig, A. Dörnbrack, J. Fröhlich, C. Hertel, Ch. Kühnlein, J. Lang
Towards large eddy simulation on moving grids,
Proc. Appl. Math. Mech. 9, 445-446 (2009)
J. Lang, W. Cao, W. Huang, R.D. Russell
A Two-Dimensional Moving Finite Element Method with Local Refinement Based on A Posteriori Error Estimates,
Appl. Numer. Math. 46 (2003), pp. 75-94
B. Geißler, A. Martin, A. Morsi, M. Walther, O. Kolb, J. Lang, L. Wagner
Optimization
in Decision Support Systems for Water Supply Systems, Smart Water System to Improve the Operation of Water Supply Systems by Using Applied Mathematics, eds. A. Pirsing, A. Morsi, EMS Series in Industrial and Applied Mathematics Vol. 2, pp. 73-104, 2020, doi:10.4171/207
P. Mindt, J. Lang, P. Domschke
Entropy-Preserving Coupling of Hierarchical Gas Models
SIAM Journal on Mathematical Analysis, Vol. 51, pp. 4754-4775, 2019; doi:10.1137/19M1240034
J. Lang, P. Mindt
Entropy-Preserving Coupling Conditions for One-dimensional Euler Systems at Junctions
Networks and Heterogeneous Media, Vol. 13, pp. 177-190, 2018; doi:10.3934/nhm.2018008
P. Domschke, A. Dua, J.J. Stolwijk, J. Lang, V. Mehrmann
Adaptive Refinement Strategies for the Simulation of Gas Flow in Networks using a Model Hierarchy
Electronic Transactions on Numerical Analysis, Vol. 48, pp. 97-113, 2018; doi:10.1553/etna_vol48s97
P. Domschke, O. Kolb, J. Lang
Adjoint-based error control for the simulation and optimization of gas and water supply networks,
Applied Mathematics and Computation, Vol. 259, pp. 1003-1018, 2015; doi:10.1016/j.amc.2015.03.029
O. Kolb, J. Lang
Simulation and Continuous Optimization,
In: Mathematical Optimization of Water Networks, A. Martin et al. (eds.), International Series of Numerical Mathematics, Vol. 162, pp. 17-33, Springer Basel 2012
O. Kolb, A. Morsi, J. Lang, A. Martin
Nonlinear and Mixed Integer Linear Programming,
In: Mathematical Optimization of Water Networks, A. Martin et al. (eds.), International Series of Numerical Mathematics, Vol. 162, pp. 55-65, Springer Basel 2012
P. Domschke, O. Kolb, J. Lang
Adjoint-based error control for the simulation of gas and water supply networks,
In: Adaptive Modeling and Simulation (ADMOS2011), edited by D. Aubry, P. Diez, B. Tie, N. Pares, pp. 183-194; CIMNE 2011
P. Domschke, O. Kolb, J. Lang
Adjoint-based control of model and discretization errors for gas flow in networks,
Int. J. Mathematical Modelling and Numerical Optimisation, Vol. 2, Number 2 (2011), pp. 175-193
P. Domschke, O. Kolb, J. Lang
Adjoint-based control of model and discretisation errors for gas and water supply networks,
In: Computational Optimization and Applications in Engineering and Industry, Yang, Koziel (eds.), Studies in Computational Intelligence, Vol. 359, pp. 1-17, Springer (2011)
P. Domschke, O. Kolb, J. Lang
An Adaptive Model Switching and Discretization Algorithm for Gas Flow on Networks,
Procedia Computer Science 1 (2010), pp. 1325-1334
O. Kolb, P. Domschke, J. Lang
Modified QR Decomposition to Avoid Non-Uniqueness in Water Supply Networks with Extension to Adjoint Calculus,
Procedia Computer Science 1 (2010), pp. 1421-1428
P. Domschke, B. Geissler, O. Kolb, J. Lang, A. Martin, A. Morsi
Combination of Nonlinear and Linear Optimization of Transient Gas Networks,
INFORMS Journal on Computing 23 (2011), No. 4, pp. 605-617
O. Kolb, P. Bales, J. Lang
Moving Penalty Functions for Optimal Control with PDEs on Networks,
in: Proceedings of ECMI2008, 30 June – 4 July, London (2010)
P. Bales, O. Kolb, J. Lang
Hierarchical modelling and model adaptivity for gas flow on networks,
Lecture Notes in Computer Science 5544, Part I, pp. 337-346, Springer-Verlag (2009)
O. Kolb, J. Lang, P. Bales
Adaptive linearization for the optimal control problem of gas flow in pipeline networks,
Report No. 2553 (2008), Technische Universität Darmstadt, Department of Mathematics
O. Kolb, J. Lang, P. Bales
Adaptive linearized models for optimization of gas networks,
Proc. Appl. Math. Mech. 7 (2007), pp. 1061301-1061302
M.-C. Weber, L. Fischer, A. Damerau, I. Pomomarev, M. Pfeiffenberger, T. Gaber, S. Götschel, J. Lang, S. Röblitz, F. Buttgereit, R. Ehrig, A. Lang
In vitro and in silico modeling of cellular and matrix-related changes during the early phase of osteoarthritis
Biofabrication, Vol. 12, 2020, 045016; doi:10.1088/1758-5090/aba08f
P. Colle Franzone, P. Deuflhard, B. Erdmann, J. Lang, L.F. Pavarino
Adaptivity in Space and Time for Reaction-Diffusion Systems in Electrocardiology,
SIAM J. Sci. Comput. 28 (2006), pp. 942-962.
C. Kober, B. Erdmann, J. Lang, R. Sader, H.-F. Zeilhofer
Sensitivity of the Temporomandibular Joint Capsule for the Structural Behaviour of the Human Mandible,
in Proceedings of BMT2004, Ilmenau, Germany, 2004, Biomedizinische Technik 49, Ergänzungsband 2, pp. 372-373, ISSN 0939-4990, 2004
C. Kober, B. Erdmann, J. Lang, R. Sader, H.-F. Zeilhofer
Adaptive Finite Element Simulation of the Human Mandible Using a New Physiological Model of the Masticatory Muscles,
in Proceedings of the 75th Annual GAMM-Meeting of the GAMM Dresden, PAMM, Vol. 4, Issue 1, Dec. 2004, pp. 332-333
J. Lang, B. Erdmann, C. Kober, P. Deuflhard, H.-F. Zeilhofer, R. Sader
Effiziente und zuverlässige Finite-Elemente-Methoden zur Simulation des menschlichen Unterkiefers,
in: W. Alt, M. Hermann (eds.), Berichte des Interdisziplinären Zentrums für Wissenschaftliches Rechnen, Friedrich-Schiller-Universität Jena, Band 1, 2003, pp. 49-57
B. Erdmann, C. Kober, J. Lang, P. Deuflhard, H.-F. Zeilhofer, R. Sader
Efficient and Reliable Finite Element Methods for Simulation of the Human Mandible,
in Proceedings of 9th Workshop on The Finite Element Method in Biomedical Engineering, Biomechanics and Related Fields, Ulm, Germany, July 2002
J. Lang, B. Erdmann, M. Seebass
Impact of Nonlinear Heat Transfer on Temperature Distribution in Regional Hyperthermia,
IEEE Transaction on Biomedical Engineering 46 (1999) 1129-1138
B. Erdmann, J. Lang, M. Seebass
Optimization of Temperature Distributions for Regional Hyperthermia based on a Nonlinear Heat Transfer Model
in: K. Diller (ed.), Biotransport: Heat and Mass Transfer in Living Systems, Annals of the New York Academy of Sciences, Vol. 858, pp. 36-46, 1998
B. Erdmann, J. Lang, M. Seebass
Adaptive Solutions of Nonlinear Parabolic Equations with Application to Hyperthermia Treatments,
in: G. de Vahl Davis and E.Leonardi (eds.), CHT'97: Advances in Computational Heat Transfer,103-110,
(Begell House Inc., New York 1998)

Abschlussarbeiten

Habilitation thesis, 1999
Adaptive Multilevel Solution of Nonlinear Parabolic PDE Systems. Theory, Algorithm, and Applications,
Math. Institute, Free University Berlin
Ph.D. thesis, 1988,
Ein Beitrag zur adaptiven Netzsteuerung bei der Methode der Finiten Elemente auf der Grundlage von Interpolationsfehler-Abschätzungen,
Math. Institute, Martin-Luther University Halle-Wittenberg
Diploma thesis, 1986,
Konstanten bei der Interpolation in Sobolevräumen,
Math. Institute, Martin-Luther University Halle-Wittenberg