Authors:
- Comprehensive, self-contained and up-to-date coverage of the subject
- Clear presentation
- An invaluable resource for students, researchers and professionals who wish to develop their understanding of linear optimization and interior point methods
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (20 chapters)
-
Front Matter
-
Introduction: Theory and Complexity
-
The Logarithmic Barrier Approach
-
The Target-following Approach
About this book
Reviews
From the reviews of the second edition:
"The second edition of this successful book on interior point methods for linear optimization appears eight years after the first one. It presents a unified framework for these algorithms and it is a comprehensive treatment of linear optimization from the perspective of interior point methods. … The presentation is clear and comprehensible, but concise, it comes along with many examples and illustrations … . Almost all aspects of interior point methods are discussed in this highly recommendable book … ." (Petra Huhn, Mathematical Methods of Operations Research, Vol. 65 (1), 2007)
Authors and Affiliations
-
Delft University of Technology, The Netherlands
Cornelis Roos
-
McMaster University, Ontario, Canada
Tamás Terlaky
-
University of Geneva, Switzerland
Jean-Philiipe Vial
Bibliographic Information
Book Title: Interior Point Methods for Linear Optimization
Authors: Cornelis Roos, Tamás Terlaky, Jean-Philiipe Vial
DOI: https://doi.org/10.1007/b100325
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-26378-6Published: 07 September 2005
Softcover ISBN: 978-1-4419-3887-9Published: 29 October 2010
eBook ISBN: 978-0-387-26379-3Published: 08 February 2006
Edition Number: 1
Number of Pages: XXIV, 497
Topics: Optimization, Operations Research, Management Science, Computational Science and Engineering, Algorithms