Constrained Optimization and Image Space Analysis

Franco Giannessi

ISBN 10: 038724770X / ISBN 13: 9780387247700

Editore: Springer Us Jun 2005, 2005

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 396 pp. Englisch.

Codice articolo 9780387247700

Dati bibliografici

• Titolo: Constrained Optimization and Image Space Analysis
• Editore: Springer Us Jun 2005
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 038724770X
• ISBN 13: 9780387247700
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 261 L x 172 A x 27 P (millimetri) 261 millimetri di larghezza per 172 millimetri di altezza per 27 millimetri di profondità
• Peso: 792 grammi

Descrizione articolo

Riassunto

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.

Recensione

From the reviews:

"This is a very substantial and useful monograph ... . it would be an excellent reference in a course at the graduate level in engineering or the advanced undergraduate level in mathematics, as well as for working mathematicians interested in optimization. This book is of unusually fine quality ... it will amply repay the time required. A notable feature of this work is the depth and completeness of coverage of many of the topics. ... Another aspect ... is the extensive use of examples." (Stephen M. Robinson, SIAM Review, Vol. 48 (2), 2006)