Ph.D. Institute of Control Problems, Moscow (1980-1984)

M.S. Lomonosov Moscow State University (1972-1977)

Yurii Nesterov had a research position in Central Economical and Mathematical Institute in Moscow (1977-1992). After that, he became a professor at Center for Operations Research and Econometrics (CORE) in Catholic University of Louvain (UCL), Belgium, for the period 1993-2023.

His research interests are related to complexity issues and efficient methods for solving various optimization problems. The main results are obtained in different areas of Convex Optimization: optimal methods for smooth problems, polynomial-time interior-point methods, smoothing technique for structural optimization, complexity theory for second-order methods, optimization methods for huge-scale problems, implementable tensor methods.

Books (example):

Yurii Nesterov. Lectures on Convex Optimization. Springer (2018), 589pp. Winner of Lanchester Prize 2022 (INFORMS). Translated to Chinese.

Articles (examples):

1. Yurii Nesterov. Efficiency of coordinate-descent methods on huge-scale optimization problems. SIOPT, 22(2), 341-362 (2012). Winner of SIAM Best Paper Award 2014.

2.Yurii Nesterov. Rounding of convex sets and efficient gradient methods for linear programming problems. Optimization Methods and Software, 23(1), 109-128 (2009). Winner of Charles Broyden Award 2009 for the best paper in the journal.