E-Book, Englisch, Band 49, 396 Seiten, eBook
Giannessi Constrained Optimization and Image Space Analysis
1. Auflage 2006
ISBN: 978-0-387-28020-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Volume 1: Separation of Sets and Optimality Conditions
E-Book, Englisch, Band 49, 396 Seiten, eBook
Reihe: Mathematical Concepts in Science and Engineering
ISBN: 978-0-387-28020-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Elements of Convex Analysis and Separation.- to Image Space Analysis.- Alternative and Separation.- Optimality Conditions. Preliminary Results.
