Francisco J. Aragón Artacho

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Minimization Problems

Top Venues

Comput. Optim. Appl.

J. Optim. Theory Appl.

Appl. Math. Comput.

Publications

Francisco J. Aragón Artacho, W. Cai, Yair Censor, Aviv Gibali, C. Shui, David Torregrosa-Belén
Approaches to iterative algorithms for solving nonlinear equations with an application in tomographic absorption spectroscopy. CoRR (2024)
Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali, David Torregrosa-Belén
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]. Appl. Math. Comput. 476 (2024)
Francisco J. Aragón Artacho, Radu Ioan Bot, David Torregrosa-Belén
A primal-dual splitting algorithm for composite monotone inclusions with minimal lifting. Numer. Algorithms 93 (1) (2023)
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
Distributed forward-backward methods for ring networks. Comput. Optim. Appl. 86 (3) (2023)
Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali, David Torregrosa-Belén
The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning. Appl. Math. Comput. 440 (2023)
Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam
Strengthened splitting methods for computing resolvents. Comput. Optim. Appl. 80 (2) (2021)
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
Distributed Forward-Backward Methods without Central Coordination. CoRR (2021)
Francisco J. Aragón Artacho, Rubén Campoy, Veit Elser
An enhanced formulation for solving graph coloring problems with the Douglas-Rachford algorithm. J. Glob. Optim. 77 (2) (2020)
Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam
The Douglas-Rachford algorithm for convex and nonconvex feasibility problems. Math. Methods Oper. Res. 91 (2) (2020)
Francisco J. Aragón Artacho, Phan Tu Vuong
The Boosted Difference of Convex Functions Algorithm for Nonsmooth Functions. SIAM J. Optim. 30 (1) (2020)
Francisco J. Aragón Artacho, Rubén Campoy
Optimal rates of linear convergence of the averaged alternating modified reflections method for two subspaces. Numer. Algorithms 82 (2) (2019)
Masoud Ahookhosh, Francisco J. Aragón Artacho, Ronan M. T. Fleming, Phan Tu Vuong
Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity. Adv. Comput. Math. 45 (5) (2019)
Francisco J. Aragón Artacho, Rubén Campoy
Computing the Resolvent of the Sum of Maximally Monotone Operators with the Averaged Alternating Modified Reflections Algorithm. J. Optim. Theory Appl. 181 (3) (2019)
Francisco J. Aragón Artacho, Yair Censor, Aviv Gibali
The cyclic Douglas-Rachford algorithm with r-sets-Douglas-Rachford operators. Optim. Methods Softw. 34 (4) (2019)
Francisco J. Aragón Artacho, Rubén Campoy, Quoc Tran-Dinh, Phan Tu Vuong
Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm. CoRR (2019)
Francisco J. Aragón Artacho, Rubén Campoy, Ilias S. Kotsireas, Matthew K. Tam
A feasibility approach for constructing combinatorial designs of circulant type. J. Comb. Optim. 35 (4) (2018)
Francisco J. Aragón Artacho, Ronan M. T. Fleming, Phan Tu Vuong
Accelerating the DC algorithm for smooth functions. Math. Program. 169 (1) (2018)
Francisco J. Aragón Artacho, Phan Tu Vuong
The Boosted DC Algorithm for nonsmooth functions. CoRR (2018)
Francisco J. Aragón Artacho, Rubén Campoy
A new projection method for finding the closest point in the intersection of convex sets. Comput. Optim. Appl. 69 (1) (2018)
Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam
Global behavior of the Douglas-Rachford method for a nonconvex feasibility problem. J. Glob. Optim. 65 (2) (2016)
Francisco J. Aragón Artacho, Ronan M. T. Fleming
Globally convergent algorithms for finding zeros of duplomonotone mappings. Optim. Lett. 9 (3) (2015)
Francisco J. Aragón Artacho, Jonathan M. Borwein, Victoria Martín-Márquez, Liangjin Yao
Applications of convex analysis within mathematics. Math. Program. 148 (1-2) (2014)
Francisco J. Aragón Artacho, Anton Belyakov, Asen L. Dontchev, Marco A. López
Local convergence of quasi-Newton methods under metric regularity. Comput. Optim. Appl. 58 (1) (2014)
Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam
Recent Results on Douglas-Rachford Methods for Combinatorial Optimization Problems. J. Optim. Theory Appl. 163 (1) (2014)
Francisco J. Aragón Artacho, Jonathan M. Borwein
Global convergence of a non-convex Douglas-Rachford iteration. J. Glob. Optim. 57 (3) (2013)
Francisco J. Aragón Artacho, Michaël Gaydu
A Lyusternik-Graves theorem for the proximal point method. Comput. Optim. Appl. 52 (3) (2012)
Francisco J. Aragón Artacho, Boris S. Mordukhovich
Enhanced metric regularity and Lipschitzian properties of variational systems. J. Glob. Optim. 50 (1) (2011)
Francisco J. Aragón Artacho, Asen L. Dontchev, Michaël Gaydu, Michel H. Geoffroy, Vladimir M. Veliov
Metric Regularity of Newton's Iteration. SIAM J. Control. Optim. 49 (2) (2011)