Blanco Fonseca M., Flichman G. (2002). Dynamic optimisation problems: different resolution methods regarding agriculture and natural resource economics. Montpellier (France) : CIHEAM-IAMM. 35 p. (Working paper).
http://oa.upm.es/5910/1/RecursiveStochasticProgramming_BlancoFlichman_2002.pdf
http://oa.upm.es/5910/1/RecursiveStochasticProgramming_BlancoFlichman_2002.pdf
Titre : | Dynamic optimisation problems: different resolution methods regarding agriculture and natural resource economics |
Auteurs : | M. Blanco Fonseca ; G. Flichman |
Type de document : | Rapport, Expertise, Working Paper |
Editeur : | Montpellier [France] : CIHEAM-IAMM, 2002 |
Collection : | Working paper |
Format : | 35 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Thésaurus IAMM PROGRAMMATION LINEAIRE ; GESTION DES RESSOURCES NATURELLES ; MODELE DYNAMIQUE ; GESTION DES EAUX ; AIDE A LA DECISION ; ANALYSE COMPARATIVECatégories principales 03 - POLITIQUE ET THEORIE ECONOMIQUE ; 3.7 - Méthodes et Modèles Economiques et Statistiques |
Résumé : | 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). Although the dynamic programming method permits considering a large number of decision stages, since the multistage problem in question is broken down into several one-stage problems, the number of state and decision variables must remain limited. Discrete stochastic programming permits taking into account the diversity of activities and constraints specific to agricultural decision problems. It permits working with continuous variables and does not require the utility function to be separable. The authors propose too another method of solving stochastic dynamic problems: recursive stochastic programming (RSP). The main difference of this method in comparison with the previous ones is the way information enters the model, step by step and not all the information is available at the time of making decisions. At the end, a practical application concerning water allocation in agriculture is presented, where levels of water applied to different crops are decided in the short term and investment in the long term |
Cote : | En ligne |
URL / DOI : | http://oa.upm.es/5910/1/RecursiveStochasticProgramming_BlancoFlichman_2002.pdf |
Documents numériques (1)
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