Applied Optimization

High Performance Optimization

Editors: Frenk, H., Roos, K., Terlaky, T., Zhang, S. (Eds.)

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About this book

For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization.
Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.

Table of contents (18 chapters)

Buy this book

eBook $259.00
price for USA (gross)
  • ISBN 978-1-4757-3216-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $329.00
price for USA
  • ISBN 978-0-7923-6013-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $329.00
price for USA
  • ISBN 978-1-4419-4819-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
High Performance Optimization
Editors
  • Hans Frenk
  • Kees Roos
  • Tamas Terlaky
  • Shuzhong Zhang
Series Title
Applied Optimization
Series Volume
33
Copyright
2000
Publisher
Springer US
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-1-4757-3216-0
DOI
10.1007/978-1-4757-3216-0
Hardcover ISBN
978-0-7923-6013-1
Softcover ISBN
978-1-4419-4819-9
Series ISSN
1384-6485
Edition Number
1
Number of Pages
XXII, 474
Topics