Mathematical Optimization and Economic Theory
Part of Classics in Applied Mathematics
- Author: Michael D. Intriligator, University of California, Los Angeles
- Date Published: March 2002
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898715118
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Mathematical Optimization and Economic Theory provides a self-contained introduction to and survey of mathematical programming and control techniques and their applications to static and dynamic problems in economics, respectively. It is distinctive in showing the unity of the various approaches to solving problems of constrained optimization that all stem back directly or indirectly to the method of Lagrange multipliers. In the 30 years since its initial publication, there have been many more applications of these mathematical techniques in economics, as well as some advances in the mathematics of programming and control. Nevertheless, the basic techniques remain the same today as when the book was originally published. Thus, it continues to be useful not only to its original audience of advanced undergraduate and graduate students in economics, but also to mathematicians and other researchers who are interested in learning about the applications of the mathematics of optimization to economics.
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×Product details
- Date Published: March 2002
- format: Paperback
- isbn: 9780898715118
- length: 528 pages
- dimensions: 228 x 152 x 26 mm
- weight: 0.73kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
Preface to the Classics Edition
Preface
Part I. Introduction. Economizing and the Economy
Part II. Static Optimization. The Mathematical Programming Problem
Classical Programming
Nonlinear Programming
Linear Programming
Game Theory
Part III. Applications of Static Optimization. Theory of the Household
Theory of the Firm
General Equilibrium
Welfare Economics
Part IV. Dynamic Optimization. The Control Problem
Calculus of Variations
Dynamic Programming
Maximum Principle
Differential Games
Part V. Applications of Dynamic Optimization. Optimal Economic Growth
Appendix A: Analysis
Appendix B: Matrices
Index.
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