Overview
- Self-contained, including all necessary functional and convex analysis background
- Blends theory and practice, focusing on algorithms, examples and applications
- Complete yet concise, both in depth and bibliography
Part of the book series: SpringerBriefs in Optimization (BRIEFSOPTI, volume 0)
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Table of contents (6 chapters)
Keywords
About this book
Reviews
“This short book is dedicated to convex optimization, beginning with theoretical aspects, ending with numerical methods, and complemented with numerous examples. … this is an interesting and well-written book that is adequate for a graduate-level course on convex optimization.” (Constantin Zălinescu, Mathematical Reviews, November, 2015)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Convex Optimization in Normed Spaces
Book Subtitle: Theory, Methods and Examples
Authors: Juan Peypouquet
Series Title: SpringerBriefs in Optimization
DOI: https://doi.org/10.1007/978-3-319-13710-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-13709-4Published: 30 March 2015
eBook ISBN: 978-3-319-13710-0Published: 18 March 2015
Series ISSN: 2190-8354
Series E-ISSN: 2191-575X
Edition Number: 1
Number of Pages: XIV, 124
Number of Illustrations: 17 b/w illustrations
Topics: Calculus of Variations and Optimal Control; Optimization, Algorithms