Authors:
- Presents applications of convex optimization issues arranged in a synthetic way
- Demonstrates the interplay of convex optimization theory and applications of carefully designed Matlab sample codes
- Introduces all derivation processes in details so that readers can teach themselves without any difficulties
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 103)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
“Selected Applications of Convex Optimization is a brief book, only 140 pages, and includes exercises with each chapter. It would be a good supplemental text for an optimization or machine learning course.” (John D. Cook, MAA Reviews, maa.org, December, 2015)
Authors and Affiliations
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Department of Automation, Tsinghua University, Beijing, China
Li Li
Bibliographic Information
Book Title: Selected Applications of Convex Optimization
Authors: Li Li
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-662-46356-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015
Softcover ISBN: 978-3-662-46355-0Published: 09 April 2015
eBook ISBN: 978-3-662-46356-7Published: 26 March 2015
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: X, 140
Number of Illustrations: 5 b/w illustrations, 25 illustrations in colour
Topics: Operations Research, Management Science, Mathematical Software, Mathematical Modeling and Industrial Mathematics