activity
20182021
collaborators

10 papers

math.OC2021

Non-convex optimization in digital pre-distortion of the signal

Dmitry Pasechnyuk, Alexander Maslovskiy, Alexander Gasnikov +9

In this paper, we give some observation of applying modern optimization methods for functionals describing digital predistortion (DPD) of signals with orthogonal frequency division…

math.OC2021

On the Computational Efficiency of Catalyst Accelerated Coordinate Descent

Dmitry Pasechnyuk, Vladislav Matyukhin

This article is devoted to one particular case of using universal accelerated proximal envelopes to obtain computationally efficient accelerated versions of methods used to solve v…

math.OC2021

Accelerated Proximal Envelopes: Application to the Coordinate Descent Method

Dmitry Pasechnyuk, Anton Anikin, Vladislav Matyukhin

This article is devoted to one particular case of using universal accelerated proximal envelopes to obtain computationally efficient accelerated versions of methods used to solve v…

math.OC2019

Adaptive Mirror Descent for the Network Utility Maximization Problem

Anastasiya Ivanova, Fedor Stonyakin, Dmitry Pasechnyuk +2

Network utility maximization is the most important problem in network traffic management. Given the growth of modern communication networks, we consider the utility maximization pr…

math.OC2019

Adaptive Catalyst for Smooth Convex Optimization

Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko +3

In this paper, we present a generic framework that allows accelerating almost arbitrary non-accelerated deterministic and randomized algorithms for smooth convex optimization probl…

math.OC2019

Scheduling strategies for resource allocation in a cellular base station

Dmitry Pasechnyuk

The problem of scheduling the (time) resource allocation of a base station (cell tower) that interacts with clients (users of wireless mobile devices with Internet access) and serv…