Francisco J. Aragón Artacho

According to our database, Francisco J. Aragón Artacho authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approaches to iterative algorithms for solving nonlinear equations with an application in tomographic absorption spectroscopy.

Francisco J. Aragón Artacho, W. Cai, Yair Censor, Aviv Gibali, C. Shui, David Torregrosa-Belén

CoRR, 2024

Corrigendum to: "The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning" [Appl. Math. Comput. 440 (2023) 127627].

Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali, David Torregrosa-Belén

Appl. Math. Comput., 2024

2023

Distributed forward-backward methods for ring networks.

Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén

Comput. Optim. Appl., December, 2023

A primal-dual splitting algorithm for composite monotone inclusions with minimal lifting.

Francisco J. Aragón Artacho, Radu Ioan Bot, David Torregrosa-Belén

Numer. Algorithms, May, 2023

The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning.

Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali, David Torregrosa-Belén

Appl. Math. Comput., 2023

2021

Distributed Forward-Backward Methods without Central Coordination.

Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén

CoRR, 2021

Strengthened splitting methods for computing resolvents.

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

Comput. Optim. Appl., 2021

2020

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions.

Francisco J. Aragón Artacho, Phan Tu Vuong

SIAM J. Optim., 2020

The Douglas-Rachford algorithm for convex and nonconvex feasibility problems.

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

Math. Methods Oper. Res., 2020

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

Francisco J. Aragón Artacho, Rubén Campoy, Veit Elser

J. Glob. Optim., 2020

2019

The cyclic Douglas-Rachford algorithm with r-sets-Douglas-Rachford operators.

Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali

Optim. Methods Softw., 2019

Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces.

Francisco J. Aragón Artacho, Rubén Campoy

Numer. Algorithms, 2019

Computing the Resolvent of the Sum of Maximally Monotone Operators with the Averaged Alternating Modified Reflections Algorithm.

Francisco J. Aragón Artacho, Rubén Campoy

J. Optim. Theory Appl., 2019

Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm.

Francisco J. Aragón Artacho, Rubén Campoy, Quoc Tran-Dinh, Phan Tu Vuong

CoRR, 2019

Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity.

Masoud Ahookhosh, Francisco J. Aragón Artacho, Ronan M. T. Fleming, Phan Tu Vuong

Adv. Comput. Math., 2019

2018

Accelerating the DC algorithm for smooth functions.

Francisco J. Aragón Artacho, Ronan M. T. Fleming, Phan Tu Vuong

Math. Program., 2018

A feasibility approach for constructing combinatorial designs of circulant type.

Francisco J. Aragón Artacho, Rubén Campoy, Ilias S. Kotsireas, Matthew K. Tam

J. Comb. Optim., 2018

The Boosted DC Algorithm for nonsmooth functions.

Francisco J. Aragón Artacho, Phan Tu Vuong

CoRR, 2018

A new projection method for finding the closest point in the intersection of convex sets.

Francisco J. Aragón Artacho, Rubén Campoy

Comput. Optim. Appl., 2018

2016

Global behavior of the Douglas-Rachford method for a nonconvex feasibility problem.

Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam

J. Glob. Optim., 2016

2015

Globally convergent algorithms for finding zeros of duplomonotone mappings.

Francisco J. Aragón Artacho, Ronan M. T. Fleming

Optim. Lett., 2015

2014

Applications of convex analysis within mathematics.

Francisco J. Aragón Artacho, Jonathan M. Borwein, Victoria Martín-Márquez, Liangjin Yao

Math. Program., 2014

Recent Results on Douglas-Rachford Methods for Combinatorial Optimization Problems.

Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam

J. Optim. Theory Appl., 2014

Local convergence of quasi-Newton methods under metric regularity.

Francisco J. Aragón Artacho, Anton Belyakov, Asen L. Dontchev, Marco A. López

Comput. Optim. Appl., 2014

2013

Global convergence of a non-convex Douglas-Rachford iteration.

Francisco J. Aragón Artacho, Jonathan M. Borwein

J. Glob. Optim., 2013

2012

A Lyusternik-Graves theorem for the proximal point method.

Francisco J. Aragón Artacho, Michaël Gaydu

Comput. Optim. Appl., 2012

2011

Metric Regularity of Newton's Iteration.

Francisco J. Aragón Artacho, Asen L. Dontchev, Michaël Gaydu, Michel H. Geoffroy, Vladimir M. Veliov

SIAM J. Control. Optim., 2011

Enhanced metric regularity and Lipschitzian properties of variational systems.

Francisco J. Aragón Artacho, Boris S. Mordukhovich

J. Glob. Optim., 2011