Overview
- 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
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Table of contents (20 chapters)
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Front Matter
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Introduction: Theory and Complexity
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The Logarithmic Barrier Approach
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The Target-following Approach
Keywords
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
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