Mathematical optimization and economic analysis / by Mikulas Luptacik
- 作者： Luptacik, Mikulas.
- 其他作者：
- 其他題名：
- Springer eBooks
- 出版： New York, NY : Springer-Verlag New York 2010
- 叢書名： Springer optimization and its applications ,v.36
- 主題： Economics--Mathematical models. , Mathematical optimization. , Mathematics. , Optimization. , Economic Theory. , Operations Research/Decision Theory. , Game Theory/Mathematical Methods.
- ISBN： 9780387895529 (electronic bk.) 、 9780387895512 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005173087 | 機讀編目格式
館藏資訊
"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.