Logo - springer
Slogan - springer

Mathematics | Numerical Optimization

Numerical Optimization

Theoretical and Practical Aspects

Series: Universitext

Bonnans, J.-F., Gilbert, J.C., Lemarechal, C., Sagastizábal, C.A.

2nd ed. 2006, XIV, 494 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$49.95

(net) price for USA

ISBN 978-3-540-35447-5

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$69.95

(net) price for USA

ISBN 978-3-540-35445-1

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

As in its first edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems.

Most of the algorithms are explained in a detailed manner, allowing straightforward implementation. Theoretical aspects of the approaches chosen are also addressed with care, often using minimal assumptions.

This new edition contains computational exercises in the form of case studies which help understanding optimization methods beyond their theoretical description when coming to actual implementation. In addition, the non-smooth optimization part has been substantially reorganized and expanded.

Content Level » Graduate

Keywords » Newton's method - Optimization algorithms - algorithm - algorithms - complexity - interior-point methods - linear optimization - nonsmooth optimization - optimization - sequential quadratic programming

Related subjects » Applications - Computational Science & Engineering - Mathematics - Theoretical Computer Science

Table of contents / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Optimization.