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Elmar Zander
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Cited by
Cited by
Year
Adaptive stochastic galerkin fem
M Eigel, CJ Gittelson, C Schwab, E Zander
Computer Methods in Applied Mechanics and Engineering 270, 247-269, 2014
1312014
Solving stochastic systems with low-rank tensor compression
HG Matthies, E Zander
Linear Algebra and its Applications 436 (10), 3819-3838, 2012
882012
Efficient analysis of high dimensional data in tensor formats
M Espig, W Hackbusch, A Litvinenko, HG Matthies, E Zander
Sparse grids and applications, 31-56, 2012
752012
A convergent adaptive stochastic Galerkin finite element method with quasi-optimal spatial meshes
M Eigel, CJ Gittelson, C Schwab, E Zander
ESAIM: Mathematical Modelling and Numerical Analysis 49 (5), 1367-1398, 2015
662015
Inverse problems in a Bayesian setting
HG Matthies, E Zander, BV Rosić, A Litvinenko, O Pajonk
Computational methods for solids and fluids, 245-286, 2016
582016
Parametric and uncertainty computations with tensor product representations
HG Matthies, A Litvinenko, O Pajonk, BV Rosić, E Zander
IFIP Working Conference on Uncertainty Quantification, 139-150, 2011
442011
Parameter estimation via conditional expectation: a Bayesian inversion
HG Matthies, E Zander, BV Rosić, A Litvinenko
Advanced modeling and simulation in engineering sciences 3 (1), 1-21, 2016
402016
Alea-a python framework for spectral methods and low-rank approximations in uncertainty quantification
M Eigel, E Zander
Low rank surrogates for polymorphic fields 33, 2020
182020
Tensor approximation methods for stochastic problems
EK Zander
Dissertation, Braunschweig, Institut für Wissenschaftliches Rechnen, 2013
122013
Tensor product methods for stochastic problems
E Zander, HG Matthies
PAMM: Proceedings in Applied Mathematics and Mechanics 7 (1), 2040067-2040068, 2007
122007
Bayesian parameter estimation via filtering and functional approximations
HG Matthies, A Litvinenko, BV Rosic, E Zander
arXiv preprint arXiv:1611.09293, 2016
102016
Post-processing of high-dimensional data
M Espig, W Hackbusch, A Litvinenko, HG Matthies, E Zander
arXiv preprint arXiv:1906.05669, 2019
8*2019
Stochastic galerkin library
E Zander
Technische Universität Braunschweig, 2008
82008
Iterative algorithms for the post-processing of high-dimensional data
M Espig, W Hackbusch, A Litvinenko, HG Matthies, E Zander
Journal of Computational Physics 410, 109396, 2020
72020
Sparse representations in stochastic mechanics
HG Matthies, E Zander
Computational Methods in Stochastic Dynamics, 247-265, 2011
72011
Inverse problems in a Bayesian setting, Computational Methods for Solids and Fluids Multiscale Analysis, Probability Aspects and Model Reduction Editors: Ibrahimbegovic, Adnan …
H Matthies, E Zander, O Pajonk, B Rosic, A Litvinenko
Springer, 2016
52016
A worked-out example of surrogate-based bayesian parameter and field identification methods
N Friedman, E Zoccarato, E Zander, HG Matthies
Bayesian Methods for the Analysis of Engineering Systems; Chiachio Ruano, J …, 2021
42021
Calibration of an extended eddy viscosity turbulence model using uncertainty quantification
G Subbian, AC Botelho e Souza, R Radespiel, E Zander, N Friedman, ...
AIAA Scitech 2020 Forum, 1031, 2020
32020
Bayesian calibration of model coefficients for a simulation of flow over porous material involving SVM classification
N Friedman, P Kumar, E Zander, HG Matthies
PAMM 16 (1), 669-670, 2016
22016
Parameter Identification Based on Conditional Expectation
E Zander, N Friedman, HG Matthies
Bayesian Methods for the Analysis of Engineering Systems; Chiachio Ruano, J …, 2021
12021
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