Andrea Barth

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 15

Top Topics

Conservation Laws

Partial Differential Equations

Monte Carlo Methods

Top Venues

SIAM J. Sci. Comput.

Math. Comput. Simul.

Publications

Cedric Aaron Beschle, Andrea Barth
Quasi continuous level Monte Carlo for random elliptic PDEs. CoRR (2023)
Cedric Aaron Beschle, Andrea Barth
Quasi continuous level Monte Carlo. CoRR (2023)
David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf
Uncertainty visualization: Fundamentals and recent developments. it Inf. Technol. 64 (4-5) (2022)
Lukas Mehl, Cedric Beschle, Andrea Barth, Andrés Bruhn
An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. SSVM (2021)
Andrea Barth, Robin Merkle
Multilevel Monte Carlo estimators for elliptic PDEs with Lévy-type diffusion coefficient. CoRR (2021)
Lukas Brencher, Andrea Barth
Scalar conservation laws with stochastic discontinuous flux function. CoRR (2021)
Andrea Barth, Robin Merkle
Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations. CoRR (2020)
Kevin Carlberg, Lukas Brencher, Bernard Haasdonk, Andrea Barth
Data-Driven Time Parallelism via Forecasting. SIAM J. Sci. Comput. 41 (3) (2019)
Andrea Barth, Andreas Stein
A stochastic transport problem with Lévy noise: Fully discrete numerical approximation. CoRR (2019)
Andrea Barth, Tobias Stüwe
Weak convergence of Galerkin approximations of stochastic partial differential equations driven by additive Lévy noise. Math. Comput. Simul. 143 (2018)
Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. CoRR (2018)
Andrea Barth, Andreas Stein
A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Kevin Carlberg, Lukas Brencher, Bernard Haasdonk, Andrea Barth
Data-driven time parallelism via forecasting. CoRR (2016)
Andrea Barth, Franz G. Fuchs
Uncertainty Quantification for Hyperbolic Conservation Laws with Flux Coefficients Given by Spatiotemporal Random Fields. SIAM J. Sci. Comput. 38 (4) (2016)
Andrea Barth, Raimund Bürger, Ilja Kröker, Christian Rohde
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach. Comput. Chem. Eng. 89 (2016)
Andrea Barth, Christoph Schwab, Jonas Sukys
Multilevel Monte Carlo Simulation of Statistical Solutions to the Navier-Stokes Equations. MCQMC (2014)
Assyr Abdulle, Andrea Barth, Christoph Schwab
Multilevel Monte Carlo Methods for Stochastic Elliptic Multiscale PDEs. Multiscale Model. Simul. 11 (4) (2013)
Andrea Barth, Annika Lang
Multilevel Monte Carlo method with applications to stochastic partial differential equations. Int. J. Comput. Math. 89 (18) (2012)
Andrea Barth, Christoph Schwab, Nathaniel Zollinger
Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients. Numerische Mathematik 119 (1) (2011)