activity
20072022
most citedConvex optimization in Hilbert space with applications to inverse problems

8 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.PE2022

Mathematical models of COVID-19 spread

O. I. Krivorotko, S. I. Kabanikhin

The paper presents classification and analysis of the mathematical models of COVID-19 spread in different groups of populations such as the family, school, office (3-100 people), n…

q-bio.PE2020

Mathematical modeling and prediction of COVID-19 in Moscow city and Novosibirsk region

Olga Krivorotko, Sergey Kabanikhin, Nikolay Zyatkov +3

The paper formulates and solves the problem of identification of unknown parameters of mathematical models of the spread of COVID-19 coronavirus infection, based on SEIR type model…

q-bio.PE2020★ 1 cited

Geo-information system of spread of tuberculosis based on inversion and prediction

Sergey Kabanikhin, Olga Krivorotko, Aliya Takuadina +2

The monitoring, analysis and prediction of epidemic spread in the region require the construction of mathematical model, big data processing and visualization because the amount of…

math.OC2019★ 1 cited

Tensor train optimization for mathematical model of social networks

Kabanikhin Sergey, Krivorotko Olga, Zhang Shuhua +2

The optimization algorithms for solving multi-parameter inverse problem for the mathematical model of parabolic equations arising in social networks, epidemiology and economy are i…

math.OC2019

Differential evolution algorithm of solving an inverse problem for the spatial Solow mathematical model

Sergey Kabanikhin, Olga Krivorotko, Maktagali Bektemessov +2

The differential evolution algorithm is applied to solve the optimization problem to reconstruct the production function (inverse problem) for the spatial Solow mathematical model…

math.OC2017★ 8 cited

Convex optimization in Hilbert space with applications to inverse problems

Alexander Gasnikov, Sergey Kabanikhin, Ahmed Mohammed +1

In this paper we propose accelerated gradient descent schemes for convex optimization problems in Hilbert space. We consider inexact oracle case.