"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.
Table of Contents
1 Scarcity and efficiency 3
2 Kuhn-Tucker conditions 25
3 Convex programming 59
4 Linear programming 87
5 Data envelopment analysis 135
6 Geometric programming 187
7 Fundamentals of multiobjective optimization 213
8 Multiobjective linear programming 243
9 Multiobjective geometric programming 271
Index 289
308 pages, Hardcover