E. Ullmann

发表

ON THE CONVERGENCE OF GENERALIZED POLYNOMIAL CHAOS EXPANSIONS

O. Ernst, A. Mugler, Hans-Jörg Starkloff, 2011 .

Solution strategies for stochastic finite element discretizations

E. Ullmann, 2008 .

Mixed finite element analysis of lognormal diffusion and multilevel Monte Carlo methods

Elisabeth Ullmann, Ivan G. Graham, Robert Scheichl, 2013, 1312.6047.

Preconditioning Stochastic Galerkin Saddle Point Problems

E. Ullmann, C. Powell, C. E. Powell, 2022 .

ULLMANN, E. Krylov Subspace Recycling Methods in Stochastic Finite Element Computations

B. Freiberg, E. Ullmann, 2008 .

Computational aspects of the stochastic finite element method

Elisabeth Ullmann, Oliver G. Ernst, Michael Eiermann, 2007 .

Bayesian inference with subset simulation in spaces of varying dimension

I. Papaioannou, D. Štraub, W. Betz, 2019 .

Random Fields in Bayesian Inference: Effects of the Random Field Discretization

I. Papaioannou, D. Štraub, W. Betz, 2017 .

Multilevel adaptive sparse Leja approximations for Bayesian inverse problems

H. Bungartz, Ionut-Gabriel Farcas, T. Neckel, 2019, SIAM J. Sci. Comput..

Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients

Robert Scheichl, M. Giles, A. Teckentrup, 2013, Numerische Mathematik.

The ensemble Kalman filter for rare event estimation pdf

Iason Papaioannou, Elisabeth Ullmann, Fabian Wagner, 2021, SIAM/ASA J. Uncertain. Quantification.

Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion

I. Papaioannou, D. Štraub, W. Betz, 2021, International Journal for Numerical Methods in Engineering.

Multilevel Sequential Importance Sampling for Rare Event Estimation

I. Papaioannou, Fabian Wagner, E. Ullmann, 2019, SIAM J. Sci. Comput..

Multilevel Estimation of Rare Events

Iason Papaioannou, Elisabeth Ullmann, I. Papaioannou, 2015, SIAM/ASA J. Uncertain. Quantification.

Multilevel Quasi-Monte Carlo methods for lognormal diffusion problems

Frances Y. Kuo, Ian H. Sloan, Elisabeth Ullmann, 2015, Math. Comput..

Efficient Iterative Solvers for Stochastic Galerkin Discretizations of Log-Transformed Random Diffusion Problems

Howard C. Elman, Elisabeth Ullmann, Oliver G. Ernst, 2012, SIAM J. Sci. Comput..

Preconditioning Stochastic Galerkin Saddle Point Systems

Catherine Elizabeth Powell, Elisabeth Ullmann, E. Ullmann, 2010, SIAM J. Matrix Anal. Appl..

Efficient Solvers for a Linear Stochastic Galerkin Mixed Formulation of Diffusion Problems with Random Data

Catherine Elizabeth Powell, Elisabeth Ullmann, Oliver G. Ernst, 2008, SIAM J. Sci. Comput..

Stochastic Galerkin Matrices

Elisabeth Ullmann, Oliver G. Ernst, O. Ernst, 2010, SIAM J. Matrix Anal. Appl..

Multilevel adaptive sparse Leja approximations for Bayesian inverse problems

Hans-Joachim Bungartz, Tobias Neckel, Elisabeth Ullmann, 2019, SIAM J. Sci. Comput..

Analysis of Boundary Effects on PDE-Based Sampling of Whittle-Matérn Random Fields

Elisabeth Ullmann, Barbara Wohlmuth, Ustim Khristenko, 2018, SIAM/ASA J. Uncertain. Quantification.

Consensus-based rare event estimation

I. Papaioannou, E. Ullmann, Konstantin Althaus, 2023, ArXiv.

Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients

Elisabeth Ullmann, Robert Scheichl, Michael B. Giles, 2012, Numerische Mathematik.

Multilevel Monte Carlo Analysis for Optimal Control of Elliptic PDEs with Random Coefficients

Elisabeth Ullmann, Michael Hinze, Ahmad Ahmad Ali, 2016, SIAM/ASA J. Uncertain. Quantification.

Fast sampling of parameterised Gaussian random fields pdf

Elisabeth Ullmann, Jonas Latz, Marvin Eisenberger, 2018, Computer Methods in Applied Mechanics and Engineering.

The Two Original Papers by Hering and Breuer Submitted by Hering to the K.K. Akademie Der Wissenschaften Zu Wien in 1868

E. Ullmann, 2008 .

Multilevel Sequential2 Monte Carlo for Bayesian inverse problems

Iason Papaioannou, Elisabeth Ullmann, Jonas Latz, 2017, J. Comput. Phys..

Expansion of random field gradients using hierarchical matrices

Elisabeth Ullmann, Oliver G. Ernst, Ingolf Busch, 2011 .

Certified and fast computations with shallow covariance kernels pdf

Daniel Kressner, Stefano Massei, Elisabeth Ullmann, 2020, Foundations of Data Science.

Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators

Elisabeth Ullmann, Daniel Schaden, Daniel Schaden, 2020, SIAM/ASA J. Uncertain. Quantification.

Mixed finite element analysis of lognormal diffusion and multilevel Monte Carlo methods

I. Graham, Robert Scheichl, E. Ullmann, 2015, Stochastics and Partial Differential Equations Analysis and Computations.

On Multilevel Best Linear Unbiased Estimators

Elisabeth Ullmann, Daniel Schaden, Daniel Schaden, 2020, SIAM/ASA J. Uncertain. Quantification.

A Practical Example for the Non-linear Bayesian Filtering of Model Parameters

Elisabeth Ullmann, Jonas Latz, Matthieu Bult'e, 2018, Lecture Notes in Computational Science and Engineering.

Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth

Christian Kahle, Elisabeth Ullmann, Jonas Latz, 2018, SIAM/ASA J. Uncertain. Quantification.

A Kronecker Product Preconditioner for Stochastic Galerkin Finite Element Discretizations

Elisabeth Ullmann, E. Ullmann, 2010, SIAM J. Sci. Comput..

Error analysis for probabilities of rare events with approximate models

I. Papaioannou, Fabian Wagner, E. Ullmann, 2020, SIAM J. Numer. Anal..

Solving Log-Transformed Random Diffusion Problems by Stochastic Galerkin Mixed Finite Element Methods

Catherine E. Powell, Elisabeth Ullmann, E. Ullmann, 2015, SIAM/ASA J. Uncertain. Quantification.

Esaim: Mathematical Modelling and Numerical Analysis on the Convergence of Generalized Polynomial Chaos Expansions *

O. Ernst, Hans-Jörg Starkloff, E. Ullmann, 2022 .