Overview
- The book discusses a trilogy of keys to economic reasoning: shadow prices, opportunity costs and marginal analysis - Discuses selective treatment of other MP topics that are used today, including integer programming, networks, convex analysis, game theory, and Equilibria in game theory - Eric Denardo is a leading international academic researcher and teacher in Mathematical Programming methods
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 149)
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Table of contents (20 chapters)
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Front Matter
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Prelude
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Front Matter
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The Basics
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Front Matter
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Selected Applications
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Front Matter
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Game Theory
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Front Matter
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Keywords
About this book
Reviews
From the reviews:
“This text includes a more in-depth review of LP, lending the student thorough knowledge of the art and science of problem solving using LP. … Undergraduate students in applied commerce or business programs are clearly part of the audience. It is also suitable for a course that introduces LP, its application, and its integration with widely used software … . Practitioners with an interest in refreshing their knowledge in LP or expanding their knowledge to include LP will be equally satisfied by this book.” (Geoffrey T. Pond, Interfaces, Vol. 42 (3), May-June, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Linear Programming and Generalizations
Book Subtitle: A Problem-based Introduction with Spreadsheets
Authors: Eric V. Denardo
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-6491-5
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-6490-8Published: 25 July 2011
Softcover ISBN: 978-1-4899-7771-7Published: 04 May 2017
eBook ISBN: 978-1-4419-6491-5Published: 25 July 2011
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: X, 673
Number of Illustrations: 145 b/w illustrations
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Mathematical Modeling and Industrial Mathematics, Optimization, Engineering Economics, Organization, Logistics, Marketing, Industrial and Production Engineering