Home Bonita Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering) by Correa, Rafael (ISBN: 9783031295539)

Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering)

Stock photo: cover may vary

Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering) Paperback -

Name: Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering)
Price: 130.30 AUD
Availability: InStock
Author: Correa, Rafael
ISBN: 9783031295539

by Correa, Rafael

Add to wish list

Used
Good
Paperback

Used - Good

Description

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Ask the seller a question Add to wish list

A$130.30

Free Delivery within USA
Standard delivery: 7 to 14 days

More delivery options

Ships from Bonita (California, United States)

The BIBLIO Guarantee

Details

Title Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering)
Author Correa, Rafael
Binding Paperback
Condition Used - Good
Bookseller's Inventory # 3031295536.G
ISBN 9783031295539
Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Fundamentals of Convex Analysis and Optimization: A Supremum Function Approach (Springer Series in Operations Research and Financial Engineering)

Write a review for this book

Important Terms and Guidelines

Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
Reviews must be at least 140 characters in length.
Please do not reveal critical plot elements.
This is not a help line. Contact customer support if you need help.

Your review must not include:

Obscenities, discriminatory language, or other insulting language not suitable for public domain
Advertisements, “spam” content, or references to other products, offers or websites.
Email addresses, URLs, phone numbers, physical addresses or other contact information.
Overly critical comments about other reviews or reviewers
Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
Availability, price, or alternative ordering/shipping information

From the publisher

This book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions. It presents an original and systematic treatment of convex analysis, covering standard results and improved calculus rules in subdifferential analysis. The tools supplied in the text allow a direct approach to the mathematical foundations of convex optimization, in particular to optimality and duality theory. Other applications in the book concern convexification processes in optimization, non-convex integration of the Fenchel subdifferential, variational characterizations of convexity, and the study of Chebychev sets. At the same time, the underlying geometrical meaning of all the involved concepts and operations is highlighted and duly emphasized. A notable feature of the book is its unifying methodology, as well as the novelty of providing an alternative or complementary viewto the traditional one in which the discipline is presented to students and researchers.

This textbook can be used for courses on optimization, convex and variational analysis, addressed to graduate and post-graduate students of mathematics, and also students of economics and engineering. It is also oriented to provide specific background for courses on optimal control, data science, operations research, economics (game theory), etc. The book represents a challenging and motivating development for those experts in functional analysis, convex geometry, and any kind of researchers who may be interested in applications of their work.

About the author

Rafael Correa, Mathematical Engineering Degree from the University of Chile (1971), Doctor in Engineering, University of Clermont, France (1974) and Doctor in Mathematics Science, Blaise Pascal University, France (1984). He served as Executive Director of CONICYT, the Chilean National Agency for Scientific Research and Development (1990-1994), as Founder and Director of the Mathematical Modeling Center (CMM) at the University of Chile (2000-2007), and as President of O'Higgins University Chile, since its foundation in 2015. Author of fifty papers on Mathematical Optimization and Variational Analysis.
Abderrahim Hantoute, Doctor in Applied Mathematics from Universit Paul Sabatier de Toulouse (2003), Postdoc Fellowship in Alicante and Elche Universities 2004-2007, Associate researcher (at CMM, Universidad de Chile until 2020, and then at Universidad de Alicante). According to MathSciNet: 47 papers, with 316 citations by 182authors.
Marco A. Lpez, Doctor in Mathematics from Valencia University (1973), Full Professor since 1981, currently at Alicante University as Emeritus Professor. Doctor Honoris Causa by the University of Limoges (2012), Honorary Adjunct Professor of Federation University, Australia (2013), as and Corresponding Member of the Real Academia de Ciencias of Spain (2014). Research on mathematical optimization, semi-infinite programming, variational analysis and game theory. According to MathSciNet: 151 papers, with 1788 citations by 590 authors.

BIBLIO is the largest independent book marketplace in the world, with over 100 million books.