Dewey Class |
519.6 |
Title |
Mathematical Optimization and Economic Analysis (EB) / by Mikulás Luptácik. |
Author |
Luptácik, Mikulás |
Other name(s) |
SpringerLink (Online service) |
Publication |
New York, NY : Springer , 2010. |
Physical Details |
XIV, 294p. 53 illus. : online resource. |
Series |
Springer Optimization and Its Applications 1931-6828 ; ; 36 |
ISBN |
9780387895529 |
Summary Note |
"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 techniqueâs 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.: |
Contents note |
Part I Single-Objective Optimization -- 1. Scarcity and Efficiency -- 2. KuhnâTucker Conditions -- 3. Convex Programming -- 4. Linear Programming -- 5. Data Envelopment Analysis -- 6. Geometric Programming -- Part II Multiobjective Optimization -- 7. Fundamentals of Multiobjective Optimization -- 8. Multiobjective Linear Programming -- 9. Multiobjective Geometric Programming. |
System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
Internet Site |
http://dx.doi.org/10.1007/978-0-387-89552-9 |
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