Yurii Nesterov

Yurii Nesterov

2005 in Oberwolfach
Alma mater Moscow State University
Occupation mathematician

Yurii Nesterov is a Russian mathematician, an internationally recognized expert in convex optimization, especially in the development of efficient algorithms and numerical optimization analysis. He is currently a professor at the Université catholique de Louvain (UCL).


In 1977, Yurii Nesterov graduated in applied mathematics at Moscow State University. From 1977 to 1992 he was a researcher at the Central Economic- Mathematical Institute of the Russian Academy of Sciences. Since 1993, he has been working at UCL, specifically in the Department of Mathematical Engineering from the Polytechnic School of Louvain, Center for Operations Research and Econometrics.

In 2000, Nesterov received the Dantzig Prize.[1]

In 2009, Nesterov won the John von Neumann Theory Prize.[2]

In 2016, Nesterov received the EURO Gold Medal. [3]

Academic work

Nesterov is most famous for his work in convex optimization, including his 2004 book, considered a canonical reference on the subject.[4] His main novel contribution is an accelerated version of gradient descent that converges considerably faster than ordinary gradient descent.[5][6][7]

His work with Arkadi Nemirovski in the 1994 book[8] is the first to point out that interior point method can solve convex optimization problems, and the first to make a systematic study of semidefinite programming (SDP). Also in this book, they introduced the self-concordant functions which are useful in the analysis of Newton's method. [9]


  1. "The George B. Dantzig Prize". 2000. Retrieved December 12, 2014.
  2. "John Von Neumann Theorey Prize". 2009. Retrieved June 4, 2014.
  3. "EURO Gold Medal". 2016. Retrieved August 20, 2016.
  4. Nesterov, Yurii. Introductory lectures on convex optimization : A basic course. ISBN 978-1402075537.
  5. Bubeck, Sebastien (April 1, 2013). "ORF523: Nesterov's Accelerated Gradient Descent". Retrieved June 4, 2014.
  6. Bubeck, Sebastien (March 6, 2014). "Nesterov's Accelerated Gradient Descent for Smooth and Strongly Convex Optimization". Retrieved June 4, 2014.
  7. "The Zen of Gradient Descent".
  8. Nesterov, Yurii; Arkadii, Nemirovskii (1995). Interior-Point Polynomial Algorithms in Convex Programming. Society for Industrial and Applied Mathematics. ISBN 0898715156.
  9. Boyd, Stephen P.; Vandenberghe, Lieven (2004). Convex Optimization (PDF). Cambridge University Press. ISBN 978-0-521-83378-3. Retrieved October 15, 2011.

This article contains text translated from French Wikipedia

This article is issued from Wikipedia - version of the 11/6/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.