Kaiser H.M., Messer K.D. (2012). Mathematical programming for agricultural, environmental, and resource economics. New York (États-Unis) : John Wiley & Sons. 514 p.
Titre : | Mathematical programming for agricultural, environmental, and resource economics |
Auteurs : | H.M. Kaiser ; K.D. Messer |
Type de document : | E-Book |
Editeur : | New York [États-Unis] : John Wiley & Sons, 2012 |
ISBN/ISSN/EAN : | 978-0-470-59936-5 |
Format : | 514 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 03 - POLITIQUE ET THEORIE ECONOMIQUE ; 3.7 - Méthodes et Modèles Economiques et StatistiquesThésaurus IAMM METHODE D'OPTIMISATION ; ECONOMIE AGRICOLE ; ECONOMIE DE L'ENVIRONNEMENT ; RESSOURCE NATURELLE ; PROGRAMMATION LINEAIRE |
Résumé : | 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. |
Note de contenu : |
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 |
Cote : | Réservé lecteur CIHEAM |