受强制性开放获取政策约束的文章 - Elisabeth Ullmann了解详情
无法在其他位置公开访问的文章：1 篇
A Kronecker product preconditioner for stochastic Galerkin finite element discretizations
E Ullmann
SIAM Journal on Scientific Computing 32, 923-946, 2010
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：21 篇
On the convergence of generalized polynomial chaos expansions
OG Ernst, A Mugler, HJ Starkloff, E Ullmann
ESAIM: Mathematical Modelling and Numerical Analysis 46 (2), 317-339, 2012
强制性开放获取政策： German Research Foundation
Stochastic Galerkin matrices
OG Ernst, E Ullmann
SIAM Journal on Matrix Analysis and Applications 31 (4), 1848-1872, 2010
强制性开放获取政策： German Research Foundation
Multilevel quasi-Monte Carlo methods for lognormal diffusion problems
F Kuo, R Scheichl, C Schwab, I Sloan, E Ullmann
Mathematics of Computation 86 (308), 2827-2860, 2017
强制性开放获取政策： Swiss National Science Foundation, Australian Research Council, UK …
Efficient iterative solvers for stochastic Galerkin discretizations of log-transformed random diffusion problems
E Ullmann, HC Elman, OG Ernst
SIAM Journal on Scientific Computing 34 (2), A659 - A682, 2012
强制性开放获取政策： German Research Foundation
Multilevel Sequential Monte Carlo for Bayesian Inverse Problems
J Latz, I Papaioannou, E Ullmann
Journal of Computational Physics 368, 154-178, 2018
强制性开放获取政策： German Research Foundation, Leibniz Association
Multilevel estimation of rare events
E Ullmann, I Papaioannou
SIAM/ASA J. Uncertainty Quantification 3 (1), 922-953, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Analysis of Boundary Effects on PDE-Based Sampling of Whittle--Matérn Random Fields
U Khristenko, L Scarabosio, P Swierczynski, E Ullmann, B Wohlmuth
SIAM/ASA Journal on Uncertainty Quantification 7 (3), 948-974, 2019
强制性开放获取政策： Austrian Science Fund, German Research Foundation, European Commission
EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks
C Herrero Martin, A Oved, RA Chowdhury, E Ullmann, NS Peters, ...
Frontiers in Cardiovascular Medicine 8, 768419, 2022
强制性开放获取政策： British Heart Foundation, National Institute for Health Research, UK …
On multilevel best linear unbiased estimators
D Schaden, E Ullmann
SIAM/ASA J. Uncertainty Quantification 8 (2), 601 - 635, 2020
强制性开放获取政策： German Research Foundation
Preconditioning stochastic Galerkin saddle point systems
CE Powell, E Ullmann
SIAM Journal on Matrix Analysis and Applications 31 (5), 2813-2840, 2010
强制性开放获取政策： German Research Foundation
Fast sampling of parameterised Gaussian random fields
J Latz, M Eisenberger, E Ullmann
Computer Methods in Applied Mechanics and Engineering 348, 978-1012, 2019
强制性开放获取政策： German Research Foundation, UK Engineering and Physical Sciences Research …
Mixed Finite Element analysis of lognormal diffusion and multilevel Monte Carlo methods
IG Graham, R Scheichl, E Ullmann
Stochastic Partial Differential Equations: Analysis and Computations, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth
C Kahle, KF Lam, J Latz, E Ullmann
SIAM/ASA Journal on Uncertainty Quantification 7 (2), 526-552, 2019
强制性开放获取政策： German Research Foundation
Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators
D Schaden, E Ullmann
SIAM/ASA J. Uncertainty Quantification 9 (3), 953–978, 2021
强制性开放获取政策： German Research Foundation
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems
IG Farcas, J Latz, E Ullmann, T Neckel, HJ Bungartz
SIAM Journal on Scientific Computing 42 (1), A424-A451, 2020
强制性开放获取政策： German Research Foundation, UK Engineering and Physical Sciences Research …
Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion
F Uribe, I Papaioannou, J Latz, W Betz, E Ullmann, D Straub
International Journal for Numerical Methods in Engineering, 2021
强制性开放获取政策： German Research Foundation, Leibniz Association
Error analysis for probabilities of rare events with approximate models
F Wagner, J Latz, I Papaioannou, E Ullmann
SIAM J. Numer. Anal. 59 (4), 1948–1975, 2021
强制性开放获取政策： German Research Foundation
A practical example for the non-linear Bayesian filtering of model parameters
M Bulté, J Latz, E Ullmann
Quantification of Uncertainty: Improving Efficiency and Technology: QUIET …, 2020
强制性开放获取政策： German Research Foundation
Random fields in Bayesian inference: Effects of the random field discretization
F Uribe, I Pappaioannoua, WUE Betz, D Straub
强制性开放获取政策： German Research Foundation
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