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KIAM Preprint № 47, Moscow, 2016
Authors: Lagunovskaya A.A.
Algorithmic models of human behavior following Yu.E.Nesterov
Abstract:
Given research considers several convex stochastic optimization problems. These problems are solved using the methods that are very similar to the possible people behavior. The presentation is based mainly on the consideration the online stochastic version of the mirror descent method. Novelty is made up by the fact that almost all the scenarios are considered in the case of noise, including those of nonrandom nature. One of the goals of this preprint is to answer to the questions raised during the final lecture of the series of lectures read by Yu.E. Nesterov in April 2016 in the HSE (Moscow) (https://www.youtube.com/user/PreMoLab ).
Keywords:
convex stochastic optimization, mirror descent method, online optimization, algorithmic models of human behavior
Publication language: russian,  pages: 12
Research direction:
Mathematical problems and theory of numerical methods
Russian source text:
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About authors:
  • Lagunovskaya Anastasia Aleksandrovna,  KIAM RAS