Enhanced metric regularity and Lipschitzian properties of variational systems. - Francisco J. Aragón Artacho; Boris S. Mordukhovich (J. Glob. Optim., 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)

A Lyusternik-Graves theorem for the proximal point method. - Francisco J. Aragón Artacho; Michaël Gaydu (Comput. Optim. Appl., 2012)

Global convergence of a non-convex Douglas-Rachford iteration. - Francisco J. Aragón Artacho; Jonathan M. Borwein (J. Glob. Optim., 2013)

Local convergence of quasi-Newton methods under metric regularity. - Francisco J. Aragón Artacho; Anton Belyakov; Asen L. Dontchev; Marco A. López 001 (Comput. Optim. Appl., 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)

Applications of convex analysis within mathematics. - Francisco J. Aragón Artacho; Jonathan M. Borwein; Victoria Martín-Márquez; Liangjin Yao (Math. Program., 2014)

Globally convergent algorithms for finding zeros of duplomonotone mappings. - Francisco J. Aragón Artacho; Ronan M. T. Fleming (Optim. Lett., 2015)

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)

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)

The Boosted DC Algorithm for nonsmooth functions. - Francisco J. Aragón Artacho; Phan Tu Vuong (CoRR, 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)

Accelerating the DC algorithm for smooth functions. - Francisco J. Aragón Artacho; Ronan M. T. Fleming; Phan Tu Vuong (Math. Program., 2018)

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)

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)

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)

Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces. - Francisco J. Aragón Artacho; Rubén Campoy (Numer. Algorithms, 2019)

The cyclic Douglas-Rachford algorithm with r-sets-Douglas-Rachford operators. - Francisco J. Aragón Artacho; Yair Censor; Aviv Gibali (Optim. Methods Softw., 2019)

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)

The Douglas-Rachford algorithm for convex and nonconvex feasibility problems. - Francisco J. Aragón Artacho; Rubén Campoy; Matthew K. Tam (Math. Methods Oper. Res., 2020)

The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions. - Francisco J. Aragón Artacho; Phan Tu Vuong (SIAM J. Optim., 2020)

Strengthened splitting methods for computing resolvents. - Francisco J. Aragón Artacho; Rubén Campoy; Matthew K. Tam (Comput. Optim. Appl., 2021)

Distributed Forward-Backward Methods without Central Coordination. - Francisco J. Aragón Artacho; Yura Malitsky; Matthew K. Tam; David Torregrosa-Belén (CoRR, 2021)

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)

A primal-dual splitting algorithm for composite monotone inclusions with minimal lifting. - Francisco J. Aragón Artacho; Radu Ioan Bot; David Torregrosa-Belén (Numer. Algorithms, 2023)

Distributed forward-backward methods for ring networks. - Francisco J. Aragón Artacho; Yura Malitsky; Matthew K. Tam; David Torregrosa-Belén (Comput. Optim. Appl., 2023)

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)

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)

Forward-Backward Algorithms Devised by Graphs. - Francisco J. Aragón Artacho; Rubén Campoy; César López-Pastor (SIAM J. Optim., 2025)

Coderivative-based semi-Newton method in nonsmooth difference programming. - Francisco J. Aragón Artacho; Boris S. Mordukhovich; Pedro Pérez-Aros (Math. Program., 2025)

Nonmonotone subgradient methods based on a local descent lemma. - Francisco J. Aragón Artacho; Rubén Campoy; Pedro Pérez-Aros; David Torregrosa-Belén (CoRR, 2025)