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.
Rezensionen / Stimmen
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)
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
Dateigröße
ISBN-13
978-0-387-28020-2 (9780387280202)
DOI
Schweitzer Klassifikation
Elements of Convex Analysis and Separation.- to Image Space Analysis.- Alternative and Separation.- Optimality Conditions. Preliminary Results.
