Nonlinear optimization and related topics

Generalized Lagrange multipliers: regularity and boundedness.- A primal-dual algorithm for minimizing a non-convex function subject to bound and linear equality constraints.- Minimal convexificators of a positively homogeneous function and a characterization of its convexity and concavity.- Optimal control problems and penalization.- A truncated Newton method for constrained optimization.- Fixed and virtual stability center methods for convex nonsmooth minimization.- Iterative methods for ill-conditioned linear systems from optimization.- An algorithm for solving nonlinear programs with noisy inequality constraints.- Generic existence, uniqueness and stability in optimization problems.- On a class of bilevel programs.- Separation methods for vector variational inequalities. Saddle point and gap function.- Functions with primal-dual gradient structure and U-Hessians.- Quadratic and multidimensional assignment problems.- A new merit function and an SQP method for non-strictly monotone variational inequalities.- A logarithmic barrier approach to Fischer function.- On an approach to optimization problems with a probabilistic cost and or constraints.- Semiderivative functions and reformulation methods for solving complementarity and variational inequality problems.- Global Lagrange multiplier rule and smooth exact penalty functions for equality constraints.- Structural methods in the solution of variational inequalities.- Extended nonlinear programming.- On the efficiency of splitting and projection methods for large strictly convex quadratic programs.- A comparison of rates of convergence of two inexact proximal point algorithms.- One way to construct a global search algorithm for d. c. minimization problems.- Error bounds and superlinear convergence analysis of some Newton-type methods in optimization.- A new derivative-free descent method for the nonlinear complementarity problem.