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Mathematical Programming for Agricultural, Environmental, and Resource Economics

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CAD $147.95

Mathematical Programming for Agricultural, Environmental, and Resource Economics

Harry M. Kaiser, Kent D. Messer

ISBN: 978-0-470-59936-5 January 2012 512 Pages

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Description

Mathematical Programming Models for Agriculture, Environmental, and Resource Economics provides a comprehensive overview of mathematical programming models and their applications to real world and important problems confronting agricultural, environmental, and resource economists.  Unlike most mathematical programming books, the principal focus of this text is on applications of these techniques and models to the fields of agricultural, environmental, and resource economics.  The three fundamental goals of the book are to provide the reader with:  (1) a level of background sufficient to apply mathematical programming techniques to real world policy and business to conduct solid research and analysis, (2) a variety of applications of mathematical programming to important problems in the areas of agricultural, environmental, and resource economics, and (3) a firm foundation for preparation to more advanced, Ph.D. level books on linear and/or nonlinear programming. Despite its introductory nature, the text places significant emphasis on real world applications of mathematical programming to decision problems.  A wide array of examples and case studies are used to convey the various programming techniques available to decision analysts.

Related Resources

Part 1 LINEAR PROGRAMMING.

Chapter 1 INTRODUCTORY CONCEPTS AND THE GRAPHICAL APPROACH TO LINEAR PROGRAMMING.

Chapter 2 THE SIMPLEX METHOD TO SOLVING LINEAR PROGRAMMING PROBLEMS.

Chapter 3 SENSITIVITY ANALYSIS USING THE SIMPLEX METHOD AND DUALITY.

Chapter 4 FARM-LEVEL LINEAR PROGRAMMING MODELS.

Chapter 5 TRANSPORTATION AND ASSIGNMENT MODELS FOR FOOD AND AGRICULTURAL MARKETS.

Chapter 6 NATURAL RESOURCE AND ENVIRONMENTAL ECONOMICS APPLICATIONS OF LINEAR PROGRAMMING.

Part 2 RELAXING THE ASSUMPTIONS OF LINEAR PROGRAMMING.

Chapter 7 INTEGER AND BINARY PROGRAMMING.

Chapter 8 OPTIMIZATION OF NONLINEAR FUNCTIONS.

Chapter 9 GLOBAL APPROACHES TO NONLINEAR OPTIMIZATION.

Chapter 10 RISK PROGRAMMING MODELS.

Chapter 11 PRICE ENDOGENOUS MATHEMATICAL PROGRAMMING MODELS.

Chapter 12 GOAL PROGRAMMING.

Chapter 13 DYNAMIC PROGRAMMING.

Index.

  • FREE Risk Solver for Education software accompanies the text!
  • Combination of an introductory text in applied mathematical programming with a principle focus on relevant natural resource and environmental issues.
  • Designed for upper-level undergraduates and Masters-level graduate students majoring in economics, agricultural economics, environmental and resource economics, applied economics, and applied operations research.
  • Applies math programming models to real-world problems confronting agriculture, the environment, and natural resources.
  • Includes numerous exercises of varying level of difficulty:  20+ exercises with answers to odd-numbered questions for each chapter.