Bulté, Matthieu;Latz, Jonas;Ullmann, Elisabeth
A Practical Example for the Non-linear Bayesian Filtering of Model Parameters
Lecture Notes in Computational Science and Engineering
Springer International Publishing
2020

Latz, Jonas
On the Well-posedness of Bayesian Inverse Problems
SIAM/ASA Journal on Uncertainty Quantification
2020
8
1
451-482

Engel, Sebastian;Hafemeyer, Dominik;Münch, Christian;Schaden, Daniel
An application of sparse measure valued Bayesian inversion to acoustic sound source identification
Inverse Problems
2019
35
7
075005

Eiermann, Michael;Ernst, Oliver;Ullmann, Elisabeth
Solution strategies for stochastic finite element discretizations
17th International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, Germany, 12–14 July 2006
2006

Eiermann, Michael;Ernst, Oliver G.;Ullmann, Elisabeth
Computational aspects of the stochastic finite element method
Comput. Visual Sci.
2007
10
1
jan
3--15

Ernst, O. G.;Powell, C. E.;Silvester, D. J.;Ullmann, E.
Efficient solvers for a linear stochastic Galerkin mixed formulation of diffusion problems with random data
SIAM J. Sci. Comput.
2008
31
2
1424--1447

Ernst, Oliver G.;Ullmann, Elisabeth
Stochastic Galerkin Matrices
SIAM. J. Matrix Anal. & Appl.
2010
31
4
jan
1848--1872

Powell, Catherine E.;Ullmann, Elisabeth
Preconditioning Stochastic Galerkin Saddle Point Systems
SIAM. J. Matrix Anal. & Appl.
2010
31
5
jan
2813--2840

Ullmann, Elisabeth
A Kronecker Product Preconditioner for Stochastic Galerkin Finite Element Discretizations
SIAM J. Sci. Comput.
2010
32
2
jan
923--946

Busch, Ingolf;Ernst, Oliver G.;Ullmann, Elisabeth
Expansion of random field gradients using hierarchical matrices
Proc. Appl. Math. Mech.
2011
11
1
911--914