2 citations · 2 across the 3 of their papers we have counts for
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math.NA2022★ 2 cited
The power of random information for numerical approximation and integration
Mathias Sonnleitner
This thesis investigates the quality of randomly collected data by employing a framework built on information-based complexity, a field related to the numerical analysis of abstrac…
math.NA2021
Recovery of Sobolev functions restricted to iid sampling
David Krieg, Erich Novak, Mathias Sonnleitner
We study -approximation and integration for functions from the Sobolev space and compare optimal randomized (Monte Carlo) algorithms with algorithms that can only u…
math.NA2020
On the relation of the spectral test to isotropic discrepancy and -approximation in Sobolev spaces
Mathias Sonnleitner, Friedrich Pillichshammer
This paper is a follow-up to the recent paper "A note on isotropic discrepancy and spectral test of lattice point sets" [J. Complexity, 58:101441, 2020]. We show that the isotropic…