As of 30.01.2020
Name of the project: Multi-dimensional approximations, reconstruction and compression with applications to big data analysis
Strategy for Scientific and Technological Development Priority Level: а
Research directions: Approximations of functions of many variables, nonlinear approximations in Banach spaces, finite dimensional geometry, theory of learning, theory of compressed dimensions
Project objective: Achieving results in fundamental mathematical problems in the filed of multi-dimensional approximation
Hosting organization
|
Field of studies
|
City
|
Invited researcher
|
Time span of the project
|
---|---|---|---|---|
Laboratory «Nonlinear and nonlocal equations and their applications»
Peoples' Friendship University of Russia - (RUDN University) |
Maths |
Moscow |
Kuksin Sergei Borisovich
Russia, France |
2022-2024 |
Probabilistic Methods in Analysis
Saint Petersburg State University - (SPbU) |
Maths |
St. Petersburg |
Hedenmalm Haakan Per
Sweden |
2021-2023 |
Laboratory for Inter-disciplinary Power Engineering Problems
Ulyanovsk State Technical University - (UlSTU) |
Maths |
Ulyanovsk |
Simos Theodore Elias
Greece |
2021-2023 |