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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
Numerical methods for the resource allocation problem in networks
Anastasiya Ivanova, Dmitry Pasechnyuk, Pavel Dvurechensky +2
In this paper, we consider the resource allocation problem in a network with a large number of connections which are used by a huge number of users. The resource allocation problem…