Overview
- Presents advanced linear programming with a unique focus on modeling techniques
- Two chapters on entirely new algorithms and their results
- Author website with additional exercises and mathematical results of new algorithms covered in book
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 137)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Linear programming (LP), modeling, and optimization are very much the fundamentals of OR, and no academic program is complete without them. No matter how highly developed one’s LP skills are, however, if a fine appreciation for modeling isn’t developed to make the best use of those skills, then the truly ‘best solutions’ are often not realized, and efforts go wasted.
Katta Murty studied LP with George Dantzig, the father of linear programming, and has written the graduate-level solution to that problem. While maintaining the rigorous LP instruction required, Murty's new book is unique in his focus on developing modeling skills to support valid decision making for complex real world problems. He describes the approach as 'intelligent modeling and decision making' to emphasize the importance of employing the best expression of actual problems and then applying the most computationally effective and efficient solution technique for that model.
Authors and Affiliations
Bibliographic Information
Book Title: Optimization for Decision Making
Book Subtitle: Linear and Quadratic Models
Authors: Katta G. Murty
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-1291-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2010
Hardcover ISBN: 978-1-4419-1290-9Published: 10 December 2009
Softcover ISBN: 978-1-4614-2517-5Published: 29 February 2012
eBook ISBN: 978-1-4419-1291-6Published: 14 March 2010
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XXVI, 482
Number of Illustrations: 47 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Operations Research/Decision Theory, Operations Research, Management Science, Optimization, Industrial and Production Engineering