Mathematical Optimization and Economic Analysis

"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 demonstrate...

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Hlavní autor: Luptáčik, Mikuláš
Médium: Livre numérique
Jazyk:Anglais
Vydáno: New York, NY : Springer New York [20..].
Cham : Springer Nature
Vydání:1st ed. 2010.
Edice:Springer Optimization and Its Applications 36
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Poznámka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Mathematical optimization and economic analysis, by Mikuláš Luptáčik, New York, Springer, 2010, 1 vol. (XIII-292 p.), Springer optimization and its applications, 978-0-387-89551-2
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505 1 |a Single-Objective Optimization Scarcity and Efficiency Kuhn#x2013;Tucker Conditions Convex Programming Linear Programming Data Envelopment Analysis Geometric Programming Multiobjective Optimization Fundamentals of Multiobjective Optimization Multiobjective Linear Programming Multiobjective Geometric Programming 
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520 |a "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 
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