Elisabeth Ullmann - Google Scholar Citations

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Citations	1217	746
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Co-authors

Oliver G. ErnstTU ChemnitzVerified email at math.tu-chemnitz.de
Catherine E PowellMathematics, University of ManchesterVerified email at manchester.ac.uk
Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
Jonas Latz(Postdoctoral) Research Associate, University of CambridgeVerified email at cam.ac.uk
Iason PapaioannouTU MünchenVerified email at tum.de
Michael B. GilesProfessor of Scientific Computing, University of OxfordVerified email at maths.ox.ac.uk
Aretha TeckentrupLecturer in Mathematics of Data Science, University of EdinburghVerified email at ed.ac.uk
David J. SilvesterProfessor of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Howard ElmanProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Frances Y. KuoUNSW AustraliaVerified email at unsw.edu.au
Ian SloanProfessor of Mathematics, University of New South Wales (UNSW Australia)Verified email at unsw.edu.au
Christoph SchwabProfessor for Mathematics, ETH ZurichVerified email at math.ethz.ch
I.G. Graham Professor of Numerical Analysis Verified email at bath.ac.uk
Michael HinzeProfessor for optimization of complex systems, Mathematisches Institut, Universität Koblenz-LandauVerified email at uni-koblenz.de
Marvin EisenbergerPhD Student, Technische Universität MünchenVerified email at in.tum.de
Barbara WohlmuthProefssorin für Mathematik, TU MünchenVerified email at ma.tum.de
Laura ScarabosioChair of Numerical Mathematics, TU MünchenVerified email at ma.tum.de
Kei Fong LamResearch Assistant Professor, The Chinese University of Hong KongVerified email at math.cuhk.edu.hk
Tobias NeckelTechnical University of Munich, Department of InformaticsVerified email at in.tum.de
Ionut-Gabriel FarcasOden Institute for Computational Engineering and SciencesVerified email at austin.utexas.edu

Elisabeth Ullmann

Assistant Professor at the Technical University of Munich

Verified email at ma.tum.de - Homepage

Uncertainty Quantification Numerical Analysis Numerical Linear Algebra Applied Mathematics


Title	Cited by	Year
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	339	2012
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients AL Teckentrup, R Scheichl, MB Giles, E Ullmann Numerische Mathematik 125 (3), 569-600, 2013	172	2013
Stochastic Galerkin matrices OG Ernst, E Ullmann SIAM Journal on Matrix Analysis and Applications 31 (4), 1848-1872, 2010	106	2010
Computational aspects of the stochastic finite element method M Eiermann, OG Ernst, E Ullmann Computing and visualization in science 10 (1), 3-15, 2007	105	2007
Efficient solvers for a linear stochastic Galerkin mixed formulation of diffusion problems with random data OG Ernst, CE Powell, S David J, E Ullmann SIAM Journal on Scientific Computing 31 (2), 1424-1447, 2009	83	2009
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	79	2012
A Kronecker product preconditioner for stochastic Galerkin finite element discretizations E Ullmann SIAM Journal on Scientific Computing 32, 923-946, 2010	78	2010
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	55	2017
Preconditioning Stochastic Galerkin Saddle Point Problems CE Powell, E Ullmann Preprint 31, 2009	43	2009
Preconditioning stochastic Galerkin saddle point systems CE Powell, E Ullmann SIAM Journal on Matrix Analysis and Applications 31 (5), 2813-2840, 2010	37	2010
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	27	2015
Multilevel estimation of rare events E Ullmann, I Papaioannou SIAM/ASA J. Uncertainty Quantification 3 (1), 922-953, 2015	24	2015
Multilevel Sequential Monte Carlo for Bayesian Inverse Problems J Latz, I Papaioannou, E Ullmann Journal of Computational Physics 368, 154-178, 2018	20	2018
Multilevel Monte Carlo analysis for optimal control of elliptic PDEs with random coefficients A Ahmad Ali, E Ullmann, M Hinze SIAM/ASA J. Uncertainty Quantification 5 (1), 466 - 492, 2017	16	2017
Solving log-transformed random diffusion problems by stochastic Galerkin mixed finite element methods E Ullmann, C Powell SIAM/ASA J. Uncertainty Quantification 3 (1), 509–534, 2015	10	2015
Fast sampling of parameterised Gaussian random fields J Latz, M Eisenberger, E Ullmann Computer Methods in Applied Mechanics and Engineering 348, 978-1012, 2019	8	2019
Analysis of boundary effects on PDE-based sampling of Whittle-Matérn random fields U Khristenko, L Scarabosio, P Swierczynski, E Ullmann, B Wohlmuth arXiv preprint arXiv:1809.07570, 2018	7	2018
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	4	2019
Expansion of random field gradients using hierarchical matrices I Busch, OG Ernst, E Ullmann PAMM 11 (1), 911-914, 2011	3	2011
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems IG Farcas, J Latz, E Ullmann, T Neckel, HJ Bunagrtz arXiv preprint arXiv:1904.12204, 2019	1	2019

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