Andrea Barth

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Stochastic transport with Lévy noise fully discrete numerical approximation.
Math. Comput. Simul.
Andreas Stein, Andrea Barth
2024 J jnl
Deep learning methods for stochastic Galerkin approximations of elliptic random PDEs.
CoRR
Fabio Musco, Andrea Barth
2023 J jnl
Quasi continuous level Monte Carlo for random elliptic PDEs.
CoRR
Cedric Aaron Beschle, Andrea Barth
2023 J jnl
Quasi continuous level Monte Carlo.
CoRR
Cedric Aaron Beschle, Andrea Barth
2022 J jnl
Uncertainty visualization: Fundamentals and recent developments.
it Inf. Technol.
David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf
2021 — conf
An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation.
SSVM
Lukas Mehl, Cedric Beschle, Andrea Barth, Andrés Bruhn
2021 J jnl
Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient.
CoRR
Andrea Barth, Robin Merkle
2021 J jnl
Scalar conservation laws with stochastic discontinuous flux function.
CoRR
Lukas Brencher, Andrea Barth
2020 J jnl
Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations.
CoRR
Andrea Barth, Robin Merkle
2019 J jnl
A stochastic transport problem with Lévy noise: Fully discrete numerical approximation.
CoRR
Andrea Barth, Andreas Stein
2019 J jnl
Data-Driven Time Parallelism via Forecasting.
SIAM J. Sci. Comput.
Kevin Carlberg, Lukas Brencher, Bernard Haasdonk, Andrea Barth
2018 J jnl
A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients.
SIAM/ASA J. Uncertain. Quantification
Andrea Barth, Andreas Stein
2018 J jnl
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario.
CoRR
Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde
2018 J jnl
Weak convergence of Galerkin approximations of stochastic partial differential equations driven by additive Lévy noise.
Math. Comput. Simul.
Andrea Barth, Tobias Stüwe
2016 J jnl
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach.
Comput. Chem. Eng.
Andrea Barth, Raimund Bürger, Ilja Kröker, Christian Rohde
2016 J jnl
Data-driven time parallelism via forecasting.
CoRR
Kevin Carlberg, Lukas Brencher, Bernard Haasdonk, Andrea Barth
2016 J jnl
Uncertainty Quantification for Hyperbolic Conservation Laws with Flux Coefficients Given by Spatiotemporal Random Fields.
SIAM J. Sci. Comput.
Andrea Barth, Franz G. Fuchs
2014 — conf
Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier-Stokes Equations.
MCQMC
Andrea Barth, Christoph Schwab, Jonas Sukys
2013 J jnl
Multilevel Monte Carlo Methods for Stochastic Elliptic Multiscale PDEs.
Multiscale Model. Simul.
Assyr Abdulle, Andrea Barth, Christoph Schwab
2012 J jnl
Multilevel Monte Carlo method with applications to stochastic partial differential equations.
Int. J. Comput. Math.
Andrea Barth, Annika Lang
2011 J jnl
Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients.
Numerische Mathematik
Andrea Barth, Christoph Schwab, Nathaniel Zollinger