Artikler med mandater om offentlig tilgang - Martin EigelLes mer
Ikke tilgjengelige noe sted: 3
Comparison of various uncertainty models with experimental investigations regarding the failure of plates with holes
M Drieschner, Y Petryna, R Gruhlke, M Eigel, D Hömberg
Reliability Engineering & System Safety 203, 107106, 2020
Mandater: German Research Foundation
Risk averse stochastic structural topology optimization
M Eigel, J Neumann, R Schneider, S Wolf
Computer Methods in Applied Mechanics and Engineering 334, 470-482, 2018
Mandater: German Research Foundation
A hybrid stochastic domain decomposition method for partial differential equations with localised possibly rough random data
R Gruhlke, M Eigel, D Hömberg, M Drieschner, Y Petryna
PAMM 18 (1), e201800434, 2018
Mandater: German Research Foundation
Tilgjengelige et eller annet sted: 31
Adaptive Stochastic Galerkin FEM
M Eigel, CJ Gittelson, C Schwab, E Zander
Computer Methods in Applied Mechanics and Engineering 270, 247-269, 2014
Mandater: Swiss National Science Foundation, European Commission
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
Mandater: US Department of Energy, European Commission
A review of unified a posteriori finite element error control
C Carstensen, M Eigel, RHW Hoppe, C Löbhard
Numerical Mathematics: Theory, Methods and Applications 5 (4), 509-558, 2012
Mandater: German Research Foundation
Adaptive stochastic Galerkin FEM with hierarchical tensor representations
M Eigel, M Pfeffer, R Schneider
Numerische Mathematik 136 (3), 765-803, 2017
Mandater: German Research Foundation
Influence of cell shape, inhomogeneities and diffusion barriers in cell polarization models
W Giese, M Eigel, S Westerheide, C Engwer, E Klipp
Physical biology 12 (6), 066014, 2015
Mandater: German Research Foundation
Variational Monte Carlo—bridging concepts of machine learning and high-dimensional partial differential equations
M Eigel, R Schneider, P Trunschke, S Wolf
Advances in Computational Mathematics 45, 2503-2532, 2019
Mandater: German Research Foundation
Computational competition of symmetric mixed FEM in linear elasticity
C Carstensen, M Eigel, J Gedicke
Computer methods in applied mechanics and engineering 200 (41-44), 2903-2915, 2011
Mandater: German Research Foundation
Assessment and design of an engineering structure with polymorphic uncertainty quantification
I Papaioannou, M Daub, M Drieschner, F Duddeck, M Ehre, L Eichner, ...
GAMM‐Mitteilungen 42 (2), e201900009, 2019
Mandater: German Research Foundation
Adaptive stochastic Galerkin FEM for lognormal coefficients in hierarchical tensor representations
M Eigel, M Marschall, M Pfeffer, R Schneider
Numerische Mathematik 145, 655-692, 2020
Mandater: German Research Foundation
Non-intrusive tensor reconstruction for high-dimensional random PDEs
M Eigel, J Neumann, R Schneider, S Wolf
Computational Methods in Applied Mathematics 19 (1), 39-53, 2019
Mandater: German Research Foundation
Pricing high-dimensional Bermudan options with hierarchical tensor formats
C Bayer, M Eigel, L Sallandt, P Trunschke
SIAM Journal on Financial Mathematics 14 (2), 383-406, 2023
Mandater: German Research Foundation
On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion
M Eigel, OG Ernst, B Sprungk, L Tamellini
SIAM Journal on Numerical Analysis 60 (2), 659-687, 2022
Mandater: German Research Foundation, Government of Italy
Convergence bounds for empirical nonlinear least-squares
M Eigel, R Schneider, P Trunschke
ESAIM: Mathematical Modelling and Numerical Analysis 56 (1), 79-104, 2022
Mandater: German Research Foundation
Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion
M Eigel, R Gruhlke, M Marschall
Statistics and Computing 32 (2), 27, 2022
Mandater: German Research Foundation
SDE based regression for linear random PDEs
F Anker, C Bayer, M Eigel, M Ladkau, J Neumann, J Schoenmakers
SIAM Journal on Scientific Computing 39 (3), A1168-A1200, 2017
Mandater: German Research Foundation
Multilevel cnns for parametric pdes
C Heiß, I Gühring, M Eigel
Journal of Machine Learning Research 24 (373), 1-42, 2023
Mandater: German Research Foundation
Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation
M Eigel, R Schneider, D Sommer
Numerical Linear Algebra with Applications 30 (3), e2463, 2023
Mandater: German Research Foundation
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