Date
Wed, 04 Apr 2012
Time
10:15 - 11:15
Location
OCCAM Common Room (RI2.28)
Speaker
Armin Iske
Organisation
University of Hamburg

Kernel functions are suitable tools for multivariate scattered data approximation. In this talk, we discuss the conditioning and stability of optimal reconstruction schemes from multivariate scattered data by using

(conditionally) positive definite kernel functions. Our discussion first provides basic Riesz-type stability estimates for the utilized reconstruction method, before particular focus is placed on upper and lower bounds of the Lebesgue constants.

If time allows, we will finally draw our attention to relevant aspects concerning the stability of penalized least squares approximation.

Please contact us with feedback and comments about this page. Last updated on 04 Apr 2022 14:57.