1. Mirosław Baran, Schur’s polynomial inequalities on UPC subsets of RN. 2. Tomasz Beberok, n2 vs n?. 3. Martin Buhmann, Positive definite functions on a regular domain. 4. Salvatore Cuomo, Scientific Machine Learning for data approximation: a Generative Adversarial Network denoising problem. 5. Oleg Davydov, Selection of sets of influence in meshless finite difference methods. 6. Stefano De Marchi, My approximation theory results from the rule of Five Ws. 7. Maciej Denkowski, Continuous functions with algebraic graphs on singular sets. 8. Beata Deręgowska, On the upper bound of the maximal absolute projection constant. 9. Dimitri Jordan Kenne, Transfinite diameter for Bernstein sets. 10. András Kroó, Bernstein-Markov type inequalities and discretization of norms. 11. Barbara Lewandowska, On the value of the fifth maximal projection constant. 12. Rafał Pierzchała, Is it true that definable Markov sets are fat? 13. Michael Slawinski, Power for The Hour: On analogies and approximations of phenomenological models. 14. Alvise Sommariva, On the numerical compression of QMC rules. 15. Gianluca Vinti, Mathematical models for the reconstruction and the resizing of digital images and their application to thermographic images.
