activity
20182020
collaborators

5 papers

math.OC2020

Strengthened Splitting Methods for Computing Resolvents

Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam

In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually.…

math.OC2020

Demiclosedness principles for generalized nonexpansive mappings

Sedi Bartz, Rubén Campoy, Hung M. Phan

Demiclosedness principles are powerful tools in the study of convergence of iterative methods. For instance, a multi-operator demiclosedness principle for firmly nonexpansive mappi…

math.OC2019

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…

math.OC2019

The Douglas-Rachford Algorithm for Convex and Nonconvex Feasibility Problems

Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam

The Douglas-Rachford method, a projection algorithm designed to solve continuous optimization problems, forms the basis of a useful heuristic for solving combinatorial optimization…

math.OC2018

An enhanced formulation for solving graph coloring problems with the Douglas-Rachford algorithm

F. J. Aragón Artacho, R. Campoy, V. Elser

We study the behavior of the Douglas-Rachford algorithm on the graph vertex-coloring problem. Given a graph and a number of colors, the goal is to find a coloring of the vertices s…