Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics
Título de la tesis:
Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics
Autor/es:
Blanco Fonseca, Maria - Flichman, Guillermo
Tipo de documento:
Monográfico (Informes, Documentos de trabajo, etc) (Artículo de trabaj
Universidad:
E.T.S.I. Agrónomos (UPM)
Departamento:
Economía y Ciencias Sociales Agrarias
Idioma:
Palabras clave:
Stochastic programming; Recursive stochastic programming; Agricultural sustainability
Fecha de la defensa:
2002-01-01
Notas:
Resumen: There are two well-known methods mathematically equivalent to solve stochastic dynamic optimisation problems concerning natural and agricultural resources: Stochastic Dynamic Programming (SDP) and Discrete Stochastic Programming (DSP). In this paper, these different techniques for solving dynamic optimisation problems are compared. We emphasize the advantages and disadvantages of these methods and their respective fields of application. Furthermore, we propose an alternative technique for solving stochastic dynamic problems.
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Valoración: