Constrained optimization and image space analysis
By: by Franco Giannessi.
Series: Mathematical concepts and methods in science and engineering ;; 49.
Publisher: Springer
Published: 2005
Place of publication: New York, NY
Language: eng
Number of pages: 395
Subjects: Nonsmooth optimization
Description: 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.
Notes: Includes bibliographical references and index.
Table of contents: title: v.1 Separation of sets and optimality conditions.