As of 30.01.2020
Name of the project: Multidimensional 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 multidimensional 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 
20222024 
Probabilistic Methods in Analysis
Saint Petersburg State University  (SPbU) 
Maths 
St. Petersburg 
Hedenmalm Haakan Per
Sweden 
20212023 
Laboratory for Interdisciplinary Power Engineering Problems
Ulyanovsk State Technical University  (UlSTU) 
Maths 
Ulyanovsk 
Simos Theodore Elias
Greece 
20212023 