ENGLISH

Constrained Optimization and Image Space Analysis: Separation of Sets and Optimality Conditions

By Franco Giannessi

Book information

Publisher
Springer
Year
2005
ISBN
0-387-24770-X, 978-0387-24770-0
LCC
QA402.5 .G53 2005
Open Library ID
OL3480168M
Language
english
Format
PDF
Filesize
20 MB (21452827 bytes)
Series
Mathematical Concepts and Methods in Science and Engineering
Volume
Volume 1
Edition
1
Pages
395\403
Library
kolxoz
Time added
2010-02-18 13:16:04

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.

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