Authors:
- 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)
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Front Matter
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Back Matter
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
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Universidad Técnica Federico, Valparaíso, Chile
Juan Peypouquet
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