93 citations · 232 across the 23 of their papers we have counts for
4 papers · 1 filter
Strong Convergence of Forward-Backward-Forward Methods for Pseudo-monotone Variational Inequalities with Applications to Dynamic User Equilibrium in Traffic Networks
Benoit Duvocelle, Dennis Meier, Mathias Staudigl +1
In infinite-dimensional Hilbert spaces we device a class of strongly convergent primal-dual schemes for solving variational inequalities defined by a Lipschitz continuous and pseud…
The Boosted DC Algorithm for linearly constrained DC programming
Francisco J. Aragón Artacho, Rubén Campoy, Phan T. Vuong
The Boosted Difference of Convex functions Algorithm (BDCA) has been recently introduced to accelerate the performance of the classical Difference of Convex functions Algorithm (DC…
Using positive spanning sets to achieve d-stationarity with the Boosted DC Algorithm
Francisco J. Aragón Artacho, Rubén Campoy, Phan T. Vuong
The Difference of Convex functions Algorithm (DCA) is widely used for minimizing the difference of two convex functions. A recently proposed accelerated version, termed BDCA for Bo…
Forward-backward-forward methods with variance reduction for stochastic variational inequalities
Radu Ioan Bot, Panayotis Mertikopoulos, Mathias Staudigl +1
We develop a new stochastic algorithm with variance reduction for solving pseudo-monotone stochastic variational inequalities. Our method builds on Tseng's forward-backward-forward…