Constrained optimization and image space analysis - Info and Reading Options
By F. Giannessi
"Constrained optimization and image space analysis" was published by Springer in 2005 - New York, NY, it has 395 pages and the language of the book is English.
“Constrained optimization and image space analysis” Metadata:
- Title: ➤ Constrained optimization and image space analysis
- Author: F. Giannessi
- Language: English
- Number of Pages: 395
- Publisher: Springer
- Publish Date: 2005
- Publish Location: New York, NY
“Constrained optimization and image space analysis” Subjects and Themes:
- Subjects: ➤ Nonsmooth optimization - Mathematical optimization - Combinatorics - Global analysis (Mathematics) - Mathematics - Mechanical engineering
Edition Specifications:
- Pagination: v. <1 > :
Edition Identifiers:
- The Open Library ID: OL3480168M - OL5894684W
- Online Computer Library Center (OCLC) ID: 60858452
- Library of Congress Control Number (LCCN): 2005922927
- ISBN-10: 038724770X
- All ISBNs: 038724770X
AI-generated Review of “Constrained optimization and image space analysis”:
"Constrained optimization and image space analysis" Table Of Contents:
- 1- v.1 Separation of sets and optimality conditions.
"Constrained optimization and image space analysis" Description:
The Open Library:
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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