The talk is divided into two parts. In the first part we review L-infinity type variational problems on graphs which are motivated by applications in (semi-supervised) machine learning. In particular, we study ground states of the sup-norm of the gradient, characterize them as distance functions and relate them to the asymptotic behavior of the ...
Creator:
Bungert, Leon (Friedrich-Alexander-Universität Erlangen-Nürnberg); Roith, Tim (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Created:
2020-09-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.