Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students. While the main body of the text is self-contained, each section concludes with an often extensive set of optional exercises. The new edition adds material on semismooth optimization, as well as several new proofs that will make this book even more self-contained.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students. While the main body of the text is self-contained, each section concludes with an often extensive set of optional exercises. The new edition adds material on semismooth optimization, as well as several new proofs that will make this book even more self-contained.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | CMS Books in Mathematics |
Release date | November 2005 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2006 |
Authors | Jonathan Borwein, Adrian S. Lewis |
Dimensions | 235 x 155 x 23mm (L x W x T) |
Format | Hardcover |
Pages | 310 |
Edition | 2nd ed. 2006 |
ISBN-13 | 978-0-387-29570-1 |
Barcode | 9780387295701 |
Categories | |
LSN | 0-387-29570-4 |