The conference aims to showcase recent advancements in the application of probability theory methods within complex and harmonic analysis, approximation theory, networks, and large data set analysis. The topics addressed by the conference include:
- random matrix theory;
- orthogonal polynomials;
- approximation in functional spaces;
- theory of determinant processes;
- interpolation and sampling;
- greedy algorithms;
- graph search algorithms;
- network analysis algorithms and applications.
The school-conference "Data mining on networks, graphs, and approximation" will be held as one of the sections: https://nnov.hse.ru/latna/conferences/spb2025/
The conference was held with the financial support of the Ministry of Science and Higher Education of the Russian Federation in the framework of a scientific project under agreement No 075-15-2025-013 by St. Petersburg State University.
Program Committee
