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BooksRun, Philadelphia, PA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 2 de febrero de 2016
It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de ref. del artículo 0470599367-8-1
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.
Acerca del autor:
Harry Kaiser is an economist and the Gellert Family Professor of Applied Economics and Management at Cornell University. Kent D. Messer is the author of Mathematical Programming for Agricultural, Environmental, and Resource Economics, published by Wiley.
Título: Mathematical Programming for Agricultural, ...
Editorial: Wiley (edition 1)
Año de publicación: 2012
Encuadernación: Hardcover
Condición: Very Good
Edición: 1.