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Constrained Optimization and Image Space Analysis - Franco Giannessi

Constrained Optimization and Image Space Analysis

Volume 1: Separation of Sets and Optimality Conditions
Buch | Hardcover
396 Seiten
2005
Springer-Verlag New York Inc.
978-0-387-24770-0 (ISBN)
CHF 209,70 inkl. MwSt
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.
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.

Elements of Convex Analysis and Separation.- to Image Space Analysis.- Alternative and Separation.- Optimality Conditions. Preliminary Results.

Erscheint lt. Verlag 15.6.2005
Reihe/Serie Mathematical Concepts in Science and Engineering ; 49
Zusatzinfo XII, 396 p.
Verlagsort New York, NY
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-10 0-387-24770-X / 038724770X
ISBN-13 978-0-387-24770-0 / 9780387247700
Zustand Neuware
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