Logo - springer
Slogan - springer

Mathematics | Optimization—Theory and Practice

Optimization—Theory and Practice

Forst, Wilhelm, Hoffmann, Dieter

2010, XVIII, 402 p.

Available Formats:

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.


(net) price for USA

ISBN 978-0-387-78977-4

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

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

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-0-387-78976-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Optimization is used in almost all branches of applied sciences today
  • Text appeals to a wide readership because of its real life applications
  • Self-contained text with a rich collection of detailed examples and two-color graphics to assist the reader in full comprehension
  • Book includes many exercises, often supplemented by helpful hints or Matlab/Maple supplements

Optimization is an important field in its own right but also plays a central role in numerous  applied sciences, including operations research, management science, economics, finance, and engineering.

Optimization — Theory and Practice offers a modern and well-balanced presentation of various  optimization techniques and their applications.  The book's  clear structure, sound theoretical basics complemented by insightful illustrations and instructive examples, makes it an ideal introductory textbook and provides the reader with a comprehensive foundation in one of the most fascinating and useful branches of mathematics.

Notable features include:

  • Detailed explanations of theoretic results accompanied by supporting algorithms and exercises, often supplemented by helpful hints or MATLAB®/MAPLE® code fragments;
  • an overview of the MATLAB® Optimization Toolbox and demonstrations of its uses with selected examples;
  • accessibility to readers with a knowledge of multi-dimensional calculus, linear algebra, and basic numerical methods.

Written at an introductory level, this book is intended for advanced undergraduates and graduate students, but may also be used as a reference by academics and professionals in mathematics and the applied sciences.

Content Level » Upper undergraduate

Keywords » MATLAB - Maple - Newton's method - Quasi-Newton method - algebra - algorithms - global optimization - linear algebra - linear optimization - operations research - optimization - tar

Related subjects » Algebra - Computational Science & Engineering - Mathematics - Software Engineering - Theoretical Computer Science

Table of contents / Preface / Sample pages 

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

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