Publicaciones (46) Publicaciones de FRANCISCO JAVIER ARAGON ARTACHO

2024

  1. Coderivative-based semi-Newton method in nonsmooth difference programming

    Mathematical Programming

  2. 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] (Applied Mathematics and Computation (2023) 440, (S0096300322007007), (10.1016/j.amc.2022.127627))

    Applied Mathematics and Computation

  3. Mathematics in politics and governance

    Springer Nature, pp. 1-220

2023

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

    Numerical Algorithms, Vol. 93, Núm. 1, pp. 103-130

  2. Distributed forward-backward methods for ring networks

    Computational Optimization and Applications, Vol. 86, Núm. 3, pp. 845-870

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

    Applied Mathematics and Computation, Vol. 440

2022

  1. A Direct Proof of Convergence of Davis–Yin Splitting Algorithm Allowing Larger Stepsizes

    Set-Valued and Variational Analysis, Vol. 30, Núm. 3, pp. 1011-1029

  2. The Boosted DC Algorithm for Linearly Constrained DC Programming

    Set-Valued and Variational Analysis, Vol. 30, Núm. 4, pp. 1265-1289

2021

  1. Strengthened splitting methods for computing resolvents

    Computational Optimization and Applications, Vol. 80, Núm. 2, pp. 549-585

2020

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

    Journal of Global Optimization, Vol. 77, Núm. 2, pp. 383-403

  2. Correction to: Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm (Vietnam Journal of Mathematics, (2020), 48, 2, (363-376), 10.1007/s10013-020-00400-8)

    Vietnam Journal of Mathematics

  3. The Douglas–Rachford algorithm for convex and nonconvex feasibility problems

    Mathematical Methods of Operations Research, Vol. 91, Núm. 2, pp. 201-240

  4. The boosted difference of convex functions algorithm for nonsmooth functions

    SIAM Journal on Optimization, Vol. 30, Núm. 1, pp. 980-1006

  5. Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm

    Vietnam Journal of Mathematics, Vol. 48, Núm. 2, pp. 363-376

2019

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

    Journal of Optimization Theory and Applications, Vol. 181, Núm. 3, pp. 709-726

  2. Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0

    Nature Protocols, Vol. 14, Núm. 3, pp. 639-702

  3. Finding magic squares with Douglas--Rachford algorithm

    BEIO, Boletín de Estadística e Investigación Operativa, Vol. 35, Núm. 2, pp. 106-129

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

    Advances in Computational Mathematics, Vol. 45, Núm. 5-6, pp. 2771-2806

  5. Nonlinear optimization

    Springer Suiza

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

    Numerical Algorithms, Vol. 82, Núm. 2, pp. 397-421