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.
Book Details
Format
Paperback
Pages
150 pages
Language
English
Published
Apr 9, 2015
Publisher
Springer
ISBN-10
3662463555
ISBN-13
9783662463550