Overview
- This book provides a strong emphasis on the link between abstract theory and applications to convex optimization
- Chapters end with an informative ‘bibliographic notes’ section for further reading
- Includes fundamental results of infinite-dimensional convex analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Monographs in Mathematics (SMM)
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Table of contents (4 chapters)
Keywords
About this book
Reviews
From the reviews of the fourth edition:
“This edition contains new results concerning subdifferential calculus for convex functions and for duality in convex programming. … The book presents many of the fundamental results of the theory of infinite-dimensional convex analysis which were obtained in the last 25 years. The book provides the reader with useful tools concerning convex analysis. … Every chapter ends with problems, bibliographical notes and references.” (Erich Miersemann, Zentralblatt MATH, Vol. 1244, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Convexity and Optimization in Banach Spaces
Authors: Viorel Barbu, Teodor Precupanu
Series Title: Springer Monographs in Mathematics
DOI: https://doi.org/10.1007/978-94-007-2247-7
Publisher: Springer Dordrecht
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media B.V. 2012
Hardcover ISBN: 978-94-007-2246-0Published: 03 January 2012
Softcover ISBN: 978-94-017-8241-8Published: 24 February 2014
eBook ISBN: 978-94-007-2247-7Published: 03 January 2012
Series ISSN: 1439-7382
Series E-ISSN: 2196-9922
Edition Number: 4
Number of Pages: XII, 368
Topics: Optimization