Mathematical optimization and economic theory /

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Bibliographic Details
Author / Creator:Intriligator, Michael D.
Imprint:Philadelphia : Society for Industrial and Applied Mathematics, ©2002.
Description:1 online resource (xix, 508 pages) : illustrations
Language:English
Series:Classics in applied mathematics ; 39
Classics in applied mathematics ; 39.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577174
Hidden Bibliographic Details
ISBN:0898715113
9780898715118
9780898719215
0898719216
Notes:Originally published: Englewood Cliffs, N.J. : Prentice-Hall, 1971.
Includes bibliographical references and index.
Also available in print version.
Summary: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 interested in learning about the applications of the mathematics of optimization to economics. The book covers in some depth both static programming problems and dynamic control problems of optimization and the techniques of their solution. It also clearly presents many applications of these techniques to economics, and it shows why optimization is important for economics. Audience: mathematicians and other researchers who are interested in learning about the applications of mathematical optimization in economics, as well as students at the advanced undergraduate and beginning graduate level. A basic knowledge of analysis and matrix algebra is recommended. Two appendices summarize the necessary mathematics.
Other form:Print version: Intriligator, Michael D. Mathematical optimization and economic theory. Philadelphia : Society for Industrial and Applied Mathematics, ©2002 0898715113
Publisher's no.:CL39 siam