Mathematical Programming for Agricultural, Environmental, and Resource Economics
January 2012, ©2011
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.
- 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.
—Lawrence A Selzer, President, The Conservation Fund
"This book provides a comprehensive and lucid introduction to applied mathematical programming for students in agricultural and applied economics. The treatment is rigorous but user-friendly, with numerous examples provided throughout the chapters to help underscore key concepts and illustrate main points. The material is appropriate for advanced undergraduate students or graduate students encountering mathematical programming for the first time. Advanced readers will benefit from chapters introducing such topics as nonlinear programming, goal programming and dynamic programming. This book is destined to be well received by students and instructors alike."
—Gerald Shively, Purdue University
"Very well-written, methodical, and accessible text that is appropriate for advanced undergraduate and entry-level graduate students. Covers all the essential topics and provides nice treatments of duality, validation and calibration, general equilibrium, and dynamic programming. Enables students with basic understandings of programming and optimization concepts to gain intuition and learn methods that will allow them to work as practitioners or access more advanced graduate material."
—Ken Baerenklau, University of California, Riverside
"This book does an excellent job of presenting mathematical programming models to important problems confronting the agricultural, environmental, and resources sector. It is comprehensive, well-written, and user friendly. A particularly nice feature of the book is the incorporation of numerous research studies to supplement the concepts covered in each chapter."
—Donald Liu, University of Minnesota
"This is the best book I have seen on the subject, particularly for an economist. What I like best about the book is the use of simple, but actual research problems to illustrate the uses of linear and nonlinear programming. Too many OR books create such simple problems that students can’t make the jump to real world research problems."
—Gregory Perry, Oregon State University