Volume 1: Separation of Sets and Optimality Conditions Giannessi, Franco. creator author. SpringerLink (Online service) text xxu 2005 monographic eng

electronic

recurso electrónico

access XII, 395 p. online resource. Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has been working on an approach to optimization theory based on image space analysis. His theory has been elaborated by many other researchers in a wealth of papers. Constrained Optimization and Image Space Analysis unites his results and presents optimization theory and variational inequalities in their light. It presents a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control Problems. Such an approach unifies the several branches: Optimality Conditions, Duality, Penalizations, Vector Problems, Variational Inequalities and Complementarity Problems. The applications benefit from a unified theory. Elements of Convex Analysis and Separation -- to Image Space Analysis -- Alternative and Separation -- Optimality Conditions. Preliminary Results. by Franco Giannessi. MATHEMATICS GLOBAL ANALYSIS (MATHEMATICS) COMBINATORICS MATHEMATICAL OPTIMIZATION MECHANICAL ENGINEERING MATHEMATICS APPLICATIONS OF MATHEMATICS OPTIMIZATION COMBINATORICS ANALYSIS MECHANICAL ENGINEERING 519 9780387280202 99780387280202 http://dx.doi.org/10.1007/0-387-28020-0 http://dx.doi.org/10.1007/0-387-28020-0 100301 20260521091846.0 978-0-387-28020-2