activity
20202026
most citedOn the differentiability of the minimal and maximal solution maps of elliptic quasi-variational inequalities

4 citations · 6 across the 5 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

math.OC2024

A neural network approach to learning solutions of a class of elliptic variational inequalities

Amal Alphonse, Michael Hintermüller, Alexander Kister +2

We develop a weak adversarial approach to solving obstacle problems using neural networks. By employing (generalised) regularised gap functions and their properties we rewrite the…

math.OC2024

Data-driven methods for quantitative imaging

Guozhi Dong, Moritz Flaschel, Michael Hintermüller +3

In the field of quantitative imaging, the image information at a pixel or voxel in an underlying domain entails crucial information about the imaged matter. This is particularly im…