Andrea Barth

According to our database, Andrea Barth authored at least 20 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stochastic transport with Lévy noise fully discrete numerical approximation.

Andreas Stein, Andrea Barth

Math. Comput. Simul., 2025

2024

Deep learning methods for stochastic Galerkin approximations of elliptic random PDEs.

Fabio Musco, Andrea Barth

CoRR, 2024

2023

Quasi continuous level Monte Carlo.

Cedric Aaron Beschle, Andrea Barth

CoRR, 2023

Quasi continuous level Monte Carlo for random elliptic PDEs.

Cedric Aaron Beschle, Andrea Barth

CoRR, 2023

2022

Uncertainty visualization: Fundamentals and recent developments.

David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf

it Inf. Technol., 2022

2021

Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient.

Andrea Barth, Robin Merkle

CoRR, 2021

Scalar conservation laws with stochastic discontinuous flux function.

Lukas Brencher, Andrea Barth

CoRR, 2021

An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation.

Lukas Mehl, Cedric Beschle, Andrea Barth, Andrés Bruhn

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations.

Andrea Barth, Robin Merkle

CoRR, 2020

2019

Data-Driven Time Parallelism via Forecasting.

Kevin Carlberg, Lukas Brencher, Bernard Haasdonk, Andrea Barth

SIAM J. Sci. Comput., 2019

A stochastic transport problem with Lévy noise: Fully discrete numerical approximation.

Andrea Barth, Andreas Stein

CoRR, 2019

2018

Weak convergence of Galerkin approximations of stochastic partial differential equations driven by additive Lévy noise.

Andrea Barth, Tobias Stüwe

Math. Comput. Simul., 2018

A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients.

Andrea Barth, Andreas Stein

SIAM/ASA J. Uncertain. Quantification, 2018

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.

Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde

CoRR, 2018

2016

Uncertainty Quantification for Hyperbolic Conservation Laws with Flux Coefficients Given by Spatiotemporal Random Fields.

Andrea Barth, Franz G. Fuchs

SIAM J. Sci. Comput., 2016

Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach.

Andrea Barth, Raimund Bürger, Ilja Kröker, Christian Rohde

Comput. Chem. Eng., 2016

2014

Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier-Stokes Equations.

Andrea Barth, Christoph Schwab, Jonas Sukys

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014

2013

Multilevel Monte Carlo Methods for Stochastic Elliptic Multiscale PDEs.

Assyr Abdulle, Andrea Barth, Christoph Schwab

Multiscale Model. Simul., 2013

2012

Multilevel Monte Carlo method with applications to stochastic partial differential equations.

Andrea Barth, Annika Lang

Int. J. Comput. Math., 2012

2011

Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients.

Andrea Barth, Christoph Schwab, Nathaniel Zollinger

Numerische Mathematik, 2011