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A. Gasnikov

5 papers hereh-index 10341 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • math.OC5
same name
  • A. Gasnikov — 47 papers, h 31
  • A. Gasnikov — 14 papers
  • A. Gasnikov — 2 papers, h 6
  • A. Gasnikov — 1 paper
  • A. Gasnikov — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172024
collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2020

Finding equilibrium in two-stage traffic assignment model

Ekaterina Kotliarova, Alexander Gasnikov, Evgenia Gasnikova +1

Authors describe a two-stage traffic assignment model. It contains of two blocks. The first block consists of model for calculating correspondence (demand) matrix, whereas the seco…

math.OC2020

Traffic assignment models. Numerical aspects

Alexander Gasnikov, Evgenia Gasnikova

In this book we describe BMW traffic assignment model and Nesterov-dePalma model. We consider Entropy model for demand matrix. Based on this models we build multi-stage traffic ass…

math.OC2018

Walrasian Equilibrium and Centralized Distributed Optimization from the point of view of Modern Convex Optimization Methods on the Example of Resource Allocation Problem

Anastasiya Ivanova, Alexander Gasnikov, Evgeni Nurminski +1

We consider the resource allocation problem and its numerical solution. The following constructions are demonstrated: 1) Walrasian price-adjustment mechanism for determining the eq…

math.OC2017

Strongly convex stochastic online optimization on a unit simplex with application to the mixing least square regression

Anastasia Bayandina, Elena Chernousova, Alexander Gasnikov +1

In this paper we propose a new approach to obtain mixing least square regression estimate by means of stochastic online mirror descent in non-euclidian set-up.

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