BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Convex Optimization

Convex Optimization

Convex Optimization
Stock photo: cover may vary

Convex Optimization Hardback - 2004

by Boyd, Stephen

Add to wish list
  • Used
  • Hardback
  • first
Used: Good

Description

Cambridge University Press, 2004-03-08. 1. hardcover. Used: Good. 9.80x1.50x7.50. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$103.95
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

  • Title Convex Optimization
  • Author Boyd, Stephen
  • Binding Hardback
  • Edition 1
  • Condition Used: Good
  • Pages 727
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2004-03-08
  • Features Bibliography, Index
  • Bookseller's Inventory # SONG0521833787
  • ISBN 9780521833783 / 0521833787
  • Weight 3.65 lbs (1.66 kg)
  • Dimensions 7.5 x 9.8 x 1.5 in (19.05 x 24.89 x 3.81 cm)
  • Size 9.80x1.50x7.50
  • Category Mathematics
  • Library of Congress subjects Mathematical optimization, Convex functions
  • Library of Congress Catalogue Number 2003063284
  • Dewey Decimal Code 519.6
  • Quantity available 1

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Convex Optimization

From the publisher

Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

First line

In this introduction we give an overview of mathematical optimization, focusing on the special role of convex optimization.
tracking-