Selected Applications of Convex Optimization

by Li Li

Overview

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.

Product Details

ISBN-13:	9783662463567
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/26/2015
Series:	Springer Optimization and Its Applications , #103
Sold by:	Barnes & Noble
Format:	eBook
File size:	3 MB

Table of Contents

Preliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.

Editorial 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)

From the Publisher