15 citations · 31 across the 13 of their papers we have counts for
4 papers · 1 filter
Some Methods for Relatively Strongly Monotone Variational Inequalities
F. S. Stonyakin, A. A. Titov, D. V. Makarenko +1
The article is devoted to the development of numerical methods for solving variational inequalities with relatively strongly monotone operators. We consider two classes of variatio…
Adaptive Algorithms for Relatively Lipschitz Continuous Convex Optimization Problems
Fedor Stonyakin, Alexander Titov, Mohammad Alkousa +2
Recently there were proposed some innovative convex optimization concepts, namely, relative smoothness [1] and relative strong convexity [2,3]. These approaches have significantly…
Algorithm for solving variational inequalities with relatively strongly monotone operators
Alexander A. Titov
Basing on some recently proposed methods for solving variational inequalities with non-smooth operators, we propose an analogue of the Mirror Prox method for the corresponding clas…
Algorithms for solving variational inequalities and saddle point problems with some generalizations of Lipschitz property for operators
Alexander Titov, Fedor Stonyakin, Mohammad Alkousa +1
The article is devoted to the development of numerical methods for solving saddle point problems and variational inequalities with simplified requirements for the smoothness condit…