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This is the new edition of a popular student textbook. The first edition was well-received. The author has made revisions and additions to enhance the book's usefulness without destroying its distinctive character as a lucid, thorough, and readable text. It gives a broad treatment of optimization methods, building on simple economic theory and elementary linear algebra and calculus, and reinforcing each new mathematical idea by relating it to its economics application.

Readership: Second- and third-year undergraduates on economics courses with a reasonable quantitative content; postgraduate students who need to use mathematically sophisticated treatments at variance with their earlier work.

Table of Contents

Lagrange's Method; Extensions and Generalizations; Shadow Prices; Maximum Value Functions; Convex Sets and Their Separation; Concave Programming; Second-order Conditions; Time: The Maximum Principle; Uncertainty; Dynamic Programming; Appendix - Kuhn-Tucker Theorem.

188 pages