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.
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