Applied Optimization

Aspects of Semidefinite Programming

Interior Point Algorithms and Selected Applications

Authors: de Klerk, E.

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About this book

Semidefinite programming has been described as linear programming for the year 2000. It is an exciting new branch of mathematical programming, due to important applications in control theory, combinatorial optimization and other fields. Moreover, the successful interior point algorithms for linear programming can be extended to semidefinite programming.
In this monograph the basic theory of interior point algorithms is explained. This includes the latest results on the properties of the central path as well as the analysis of the most important classes of algorithms. Several "classic" applications of semidefinite programming are also described in detail. These include the Lovász theta function and the MAX-CUT approximation algorithm by Goemans and Williamson.
Audience: Researchers or graduate students in optimization or related fields, who wish to learn more about the theory and applications of semidefinite programming.

Table of contents (13 chapters)

Table of contents (13 chapters)

Buy this book

eBook $169.00
price for USA in USD
  • ISBN 978-0-306-47819-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-1-4020-0547-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $229.00
price for USA in USD
  • ISBN 978-1-4419-5216-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Aspects of Semidefinite Programming
Book Subtitle
Interior Point Algorithms and Selected Applications
Authors
Series Title
Applied Optimization
Series Volume
65
Copyright
2002
Publisher
Springer US
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-0-306-47819-2
DOI
10.1007/b105286
Hardcover ISBN
978-1-4020-0547-3
Softcover ISBN
978-1-4419-5216-5
Series ISSN
1384-6485
Edition Number
1
Number of Pages
XVI, 288
Topics