Computability and complexity of polynomial optimization problems.- Identification by model reference adaptive systems.- Matching problems with Knapsack side constraints. A computational study.- Optimization under functional constraints (semi-infinite programming) and applications.- Vector optimization: Theory, methods, and application to design problems in engineering.- Nonconvex optimization and its structural frontiers.- Nonlinear optimization problems under data perturbations.- Difference methods for differential inclusions.- Ekeland's variational principle, convex functions and Asplund-spaces.- Topics in modern computational methods for optimal control problems.
"Sinopsis" puede pertenecer a otra edición de este libro.