Optimization -

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Sommaire:
Linearization method for solving equilibrium programming problems.- The heavy ball with friction dynamical system for convex constrained minimization problems.- Active set strategy for constrained optimal control problems : the finite dimensional case.- Vector variational principles towards asymptotically well behaved vector convex functions.- Tangential regularity of Lipschitz epigraphic set-valued mappings.- Relaxed assumptions for iteration methods.- Approximation methods in equilibrium and fixed point theory. Proximally nondegenerate sets.- Eigenvalue localization for multivalued operators.- Arrow-Barankin-Blackwell theorems and related results in cone duality: a survey.- Formulating and solving nonlinear programs as mixed complementarity problems.- Convergence analysis of a perturbed version of the ?-scheme of Glowinski-Le Tallec.- Qualitative stability of convex programs with probabilistic constraints.- An approximation framework for infinite horizon optimization problems in a mathematical programming setting.- An ergodic theorem for stochastic programming problems.- Proximal methods: decomposition and selection.- Optimization of plastic stepped plates subjected to impulsive loading.- From fixed point regularization to constraint decomposition in variational inequalities.- Large scale molecular conformation via the exact distance geometry problem.- Adaptive scaling and convergence rates of a separable augmented Lagrangian algorithm.- Numerical considerations on decomposition and augmented Lagrangians.- Bicriteria linear fractional optimization.- Tikhonov fixed-point regularization.- Augmented Lagrangians for general side constraints.- Using analytic center and cutting planes methods for nonsmooth convex programming.- Recent advances on second-order optimalityconditions.- On some relations between generalized partial derivatives and convex functions.- A perturbed and inexact version of the auxiliary problem method for solving general variational inequalities with a multivalued operator.- Contributions to a multiplier rule for multiobjective optimization problems.- The maximum flow in a time-varying network.- Transmission network planning under uncertainty with Benders decomposition.- On some recent advances and applications of d.c. optimization.