Selected Applications of Convex Optimization
Published on 26. March 2015
X, 140 pages
978-3-662-46356-7 (ISBN)
Description
This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
Reviews / Votes
"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)
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 140 p. 30 illus., 25 illus. in color.
File size
3,81 MB
ISBN-13
978-3-662-46356-7 (9783662463567)
DOI
10.1007/978-3-662-46356-7
Schweitzer Classification
Other editions
Additional editions
Book
04/2015
Springer
€53.49
Shipment within 7-9 days
Content
Preliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.
