Nonlinear Optimization and Applications

1. Towards a discrete Newton method with memory for large-scale optimization.- 2. On regularity for generalized systems and applications.- 3. An algorithm using quadratic interpolation for unconstrained derivative free optimization.- 4. Massively parallel solution of large scale network flow problems.- 5. Correction theorems for nonsmooth systems.- 6. Successive projection methods for the solution of overdetermined nonlinear systems.- 7. On exact augmented Lagrangian functions in nonlinear programming.- 8. Space-transformation technique: the state of the art.- 9. Inexact Newton methods for semismooth equations with applications to variational inequality problems.- 10. Accessing realistic mixed complementarity problems within MATLAB.- 11. Merit functions for variational inequality and complementarity problems.- 12. Some remarks on penalization for variational inequalities and generalizations.- 13. Globally convergent online minimization algorithms for neural network training.- 14. Semismoothness and superlinear convergence in nonsmooth optimization and nonsmooth equations.- 15. On the solution of the monotone and nonmonotone linear complementarity problem by an infeasible interior point algorithm.- 16. Ergodic results in subgradient optimization.- 17. Proto-derivatives and the geometry of solution mappings in nonlinear programming.- 18. Numerical results for unconstrained optimization without derivatives.- 19. Hierarchical systems with weighted reaction set.- 20. Mathematical programming in machine learning.- 21. Smoothing techniques for macromolecular global optimization.- 22. Continuous approaches to discrete optimization problems.- 23. Homotopies based on nonsmooth equations for solving nonlinear variational inequalities.- 24. ABS methods for KT equations.- Contributors.