Constrained Optimization and Image Space Analysis
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.
A peerless monograph, presenting a new approach to the theory of constrained extremum problems, including Mathematical Programming, Calculus of Variations and Optimal Control ProblemsApplications are seen for the first time in the light of a unified theoryAn excellent reference for researchers in Analysis, Applied Mathematics, Mathematical Physics and many other applied branches