Constrained optimization and image space analysis

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Last edited by MARC Bot
January 16, 2025 | History

Constrained optimization and image space analysis

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.

Publish Date
Publisher
Springer
Language
English
Pages
395

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Book Details


Edition Notes

Includes bibliographical references and index.

Published in
New York, NY
Series
Mathematical concepts and methods in science and engineering ;, 49.

Classifications

Dewey Decimal Class
519.6
Library of Congress
QA402.5 .G53 2005, T57-57.97QA402.5-402, QA401 .G53 2005

The Physical Object

Pagination
v. <1 > :
Number of pages
395

Edition Identifiers

Open Library
OL3480168M
ISBN 10
038724770X
LCCN
2005922927
OCLC/WorldCat
60858452
LibraryThing
3580260
Goodreads
6264664

Work Identifiers

Work ID
OL5894684W

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
January 16, 2025 Edited by MARC Bot import existing book
December 31, 2022 Edited by MARC Bot import existing book
December 14, 2020 Edited by MARC Bot import existing book
October 8, 2020 Edited by ImportBot import existing book
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record