1 citations · 4 across the 7 of their papers we have counts for
7 papers
Optimal management of the vaccination process in SIRD epidemic models under constraints
Bogdan Norkin, Vladimir Norkin
The paper considers the problems of optimal vaccination control in the classical SIR model under constraints on the resource capabilities of the insurance medical system, in partic…
Models Parametric Analysis via Adaptive Kernel Learning
Vladimir Norkin, Alois Pichler
Any applied mathematical model contains parameters. The paper proposes to use kernel learning for the parametric analysis of the model. The approach consists in setting a distribut…
Lossy Image Compression with Stochastic Quantization
Anton Kozyriev, Vladimir Norkin
Lossy image compression algorithms play a crucial role in various domains, including graphics, and image processing. As image information density increases, so do the resources req…
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Anton Kozyriev, Vladimir Norkin
This paper addresses the limitations of conventional vector quantization algorithms, particularly K-Means and its variant K-Means++, and investigates the Stochastic Quantization (S…
Constrained recursive kernel density/regression estimation by stochastic quasi-gradient methods
Vladimir Norkin, Vladimir Kirilyuk
The paper considers nonparametric kernel density/regression estimation from a stochastic optimization point of view. The estimation problem is represented through a family of stoch…
The Exact Projective Penalty Method for Constrained Optimization
Vladimir Norkin
A new exact projective penalty method is proposed for the equivalent reduction of constrained optimization problems to nonsmooth unconstrained ones. In the method, the original obj…
On Shor's r-Algorithm for Problems with Constraints
Vladimir Norkin, Anton Kozyriev
Shor's r-algorithm (Shor, Zhurbenko (1971), Shor (1979)) with space stretching in the direction of difference of two adjacent subgradients is a competitive method of nonsmooth opti…