Name: Dynamic Programming: Applications to Agriculture and Natural Resources (en Inglés)
Price: 230248.00 COP
Availability: InStock
Author: Kennedy, John O. S.
ISBN: 9789401083621

portada Dynamic Programming: Applications to Agriculture and Natural Resources (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Kennedy, John O. S.

Idioma

Inglés

N° páginas

344

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.9 cm

Peso

0.49 kg.

ISBN13

9789401083621

Categorías

Ciencias matemáticas
Agricultura y explotaciones agropecuarias
Papelería, artículos de escritorio

Dynamic Programming: Applications to Agriculture and Natural Resources (en Inglés)

Kennedy, John O. S. (Autor) · Springer · Tapa Blanda

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Reseña del libro "Dynamic Programming: Applications to Agriculture and Natural Resources (en Inglés)"

Humans interact with and are part of the mysterious processes of nature. Inevitably they have to discover how to manage the environment for their long-term survival and benefit. To do this successfully means learning something about the dynamics of natural processes, and then using the knowledge to work with the forces of nature for some desired outcome. These are intriguing and challenging tasks. This book describes a technique which has much to offer in attempting to achieve the latter task. A knowledge of dynamic programming is useful for anyone interested in the optimal management of agricultural and natural resources for two reasons. First, resource management problems are often problems of dynamic optimization. The dynamic programming approach offers insights into the economics of dynamic optimization which can be explained much more simply than can other approaches. Conditions for the optimal management of a resource can be derived using the logic of dynamic programming, taking as a starting point the usual economic definition of the value of a resource which is optimally managed through time. This is set out in Chapter I for a general resource problem with the minimum of mathematics. The results are related to the discrete maximum principle of control theory. In subsequent chapters dynamic programming arguments are used to derive optimality conditions for particular resources.