most citedShape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2025

Local sensitivity analysis for Bayesian inverse problems

Jürgen Dölz, David Ebert

We present an extension of local sensitivity analysis, also referred to as the perturbation approach for uncertainty quantification, to Bayesian inverse problems. More precisely, w…

math.NA2024★ 4 cited

Shape uncertainty quantification of Maxwell eigenvalues and -modes with application to TESLA cavities

Jürgen Dölz, David Ebert, Sebastian Schöps +1

We consider Maxwell eigenvalue problems on uncertain shapes with perfectly conducting TESLA cavities being the driving example. Due to the shape uncertainty the resulting eigenvalu…