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.