Luis Briceño

Email     email
Phone     (56 2) 432 6662
Office     A 061 (Campus San Joaquín, Santiago)
Research area     Optimization and Variational Analysis
Personal page        
  1. Briceño L, Dinh H. N, Peypouquet J. Existence, stability and optimality for optimal control problems governed by maximal monotone operators. Journal of Differential Equations 2016;260(1):733-757.  [Digital version]  [Bibtex]
  2. Briceño L. Forward-Douglas-Rachford splitting and forward- partial inverse method for solving monotone inclusions. Optimization 2014. [Bibtex]
  3. Briceño L, Combettes P. L. Monotone operator methods for Nash equilibria in non-potential games, in: Computational and Analytical Mathematics, D. Bailey, H. H. Bauschke, P. Borwein, F. Garvan, M. Théra, J. Vanderwerff, and H. Wolkowicz, Eds.,. 2013.  [Digital version]  [Bibtex]
  4. Briceño L. A Douglas-Rachford splitting method for solving equilibrium problems. Nonlinear Anal. 2012;75:6053-6059.  [Digital version]  [Bibtex]
  5. Briceño L, Combettes P. L. A monotone+skew splitting model for composite monotone inclusions in duality. SIAM J. Optim. 2011;21:1230-1250.  [Digital version]  [Bibtex]
  6. Briceño L. Outer approximation method for constrained composite fixed point problems involving Lipschitz pseudo contractive operators. Numer. Funct. Anal. Optim. 2011;32:1099-1115.  [Digital version]  [Bibtex]
  7. Briceño L, Combettes P. L, Pesquet J. C, Pustelnik N. Proximal algorithms for multicomponent image processing. J. Math. Imaging Vision 2011;41:3-22.  [Digital version]  [Bibtex]
  8. Bravo M, Briceño L, Cominetti R, Cortés C, Martínez F. An integrated behavioral model of the land-use and transport systems with network congestion and location externalities. Transp. Res. Part B: Methodological 2010;44:584-596.  [Digital version]  [Bibtex]
  9. Attouch H, Briceño L, Combettes P. L. A parallel splitting method for coupled monotone inclusions. SIAM J. Control Optim. 2010;48:3246-3270.  [Digital version]  [Bibtex]
  10. Briceño L, Combettes P. L. Convex variational formulation with smooth coupling for multicomponent signal decomposition and recovery. Numer. Math. Theory Methods Appl. 2009;2:485-508.  [Digital version]  [Bibtex]
  11. Briceño L, Cominetti R, Cortés C, Martínez F. An integrated behavioral model of land use and transport system: a hyper-network equilibrium approach. Netw. Spat. Econ. 2008;8:201-224.  [Digital version]  [Bibtex]
  1. Conicyt REDES: AM2V-MODEMAT network on optimization and control
  2. ECOS C13E03: Dynamical systems and algorithms in nonsmooth and nonconvex optimization problems
  3. FONDECYT 3120054: Coupled equilibria in mixed-networks: modelization, methods, and applications
  4. MathAmSud 13MATH01: Variational Analysis and its applications to optimization, monotone operators, convex analysis, and Nash equilibrium problems
  5. FONDEF D10I 1002: Tecnologia avanzada para ciudades del futuro
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