Authors:
- A detailed presentation of both single-objective and multiobjective optimization
- An in-depth exposition of various applied optimization problems
- Implementation of optimization tools to improve the accuracy of various economic models
- Extensive resources suggested for further reading
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 36)
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Table of contents (9 chapters)
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Front Matter
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Single-Objective Optimization
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Front Matter
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Multiobjective Optimization
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Front Matter
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Back Matter
About this book
"Mathematical Optimization and Economic Analysis" is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopment analysis. Through a systematic approach, this book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis.
The book presents specific examples to demonstrate each technique’s advantages and applicability as well as numerous applications of these techniques to industrial economics, regulatory economics, trade policy, economic sustainability, production planning, and environmental policy.
Key Features include:
- A detailed presentation of both single-objective and multiobjective optimization;
- An in-depth exposition of various applied optimization problems;
- Implementation of optimization tools to improve the accuracy of various economic models;
- Extensive resources suggested for further reading.
This book is intended for graduate and postgraduate students studying quantitative economics, as well as economics researchers and applied mathematicians. Requirements include a basic knowledge of calculus and linear algebra, and a familiarity with economic modeling.
Keywords
Reviews
“Through a systematic approach, this book demonstrates the usefulness of these mathematical tools in quantitative and qualitative economic analysis. The book presents specific examples to demonstrate each technique’s advantages and applicability as well as numerous application of these techniques to industrial economics, regulatory economics, trade-policy, economic sustainability, production planning, and environmental policy.”
—Industrie Aktuell, June 2011
Authors and Affiliations
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and Business Administration, Vienna University of Economics, Vienna, Austria
Mikulás Luptácik
Bibliographic Information
Book Title: Mathematical Optimization and Economic Analysis
Authors: Mikulás Luptácik
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-89552-9
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2010
Hardcover ISBN: 978-0-387-89551-2Published: 08 October 2009
Softcover ISBN: 978-1-4614-2464-2Published: 03 March 2012
eBook ISBN: 978-0-387-89552-9Published: 03 October 2009
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIV, 294
Number of Illustrations: 53 b/w illustrations
Topics: Optimization, Econometrics, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory