Central Bank of Nigeria Library

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Mathematical optimization and economic theory /

By: Material type: TextTextSeries: Prentice-Hall series in mathematical economics | Prentice-Hall international series in managementPublication details: Englewood Cliffs, N.J. : Prentice-Hall, c1971.Description: xix, 508 p. :illISBN:
  • 0135617537
Subject(s): DDC classification:
  • 330.0151 INT
LOC classification:
  • HB74.M3 I57
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 who are interested in learning about the applications of the mathematics of optimization to economics.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Monograph & others Monograph & others CBN HQ Library General Stacks Non-fiction 330.0151 INT (Browse shelf(Opens below)) Available 31008100104575

Includes bibliographical references and index.

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.

rpm 25/09/2017

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