activity
20182023
most citedComparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

32 citations · 86 across the 6 of their papers we have counts for

collaborators

7 papers

math.NA2023

Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems

Johannes Rettberg, Dominik Wittwar, Patrick Buchfink +3

Projection-based model order reduction of dynamical systems usually introduces an error between the high-fidelity model and its counterpart of lower dimension. This unknown error c…

math.DS2022★ 9 cited

Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar

Johannes Rettberg, Dominik Wittwar, Patrick Buchfink +4

A fluid-structure interaction model in a port-Hamiltonian representation is derived for a classical guitar. We combine the laws of continuum mechanics for solids and fluids within…

math.NA2020★ 32 cited

Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem

Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin +1

For dynamical systems with a non hyperbolic equilibrium, it is possible to significantly simplify the study of stability by means of the center manifold theory. This theory allows…

math.DS2018★ 9 cited

Greedy Kernel Methods for Center Manifold Approximation

Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin +1

For certain dynamical systems it is possible to significantly simplify the study of stability by means of the center manifold theory. This theory allows to isolate the complicated…

math.NA2018★ 4 cited

Greedy regularized kernel interpolation

Gabriele Santin, Dominik Wittwar, Bernard Haasdonk

Kernel based regularized interpolation is a well known technique to approximate a continuous multivariate function using a set of scattered data points and the corresponding functi…

math.NA2018

Interpolation with uncoupled separable matrix-valued kernels

Dominik Wittwar, Gabriele Santin, Bernard Haasdonk

In this paper we consider the problem of approximating vector-valued functions over a domain . For this purpose, we use matrix-valued reproducing kernels, which can be related t…

cs.CE2018★ 32 cited

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

Markus Köppel, Fabian Franzelin, Ilja Kröker +8

A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough compariso…