Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics

Blanco Fonseca, Maria and Flichman, Guillermo (2002). Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics. Monografía (Working Paper). E.T.S.I. Agrónomos (UPM) [antigua denominación].

Description

Title: Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics
Author/s:
  • Blanco Fonseca, Maria
  • Flichman, Guillermo
Item Type: Monograph (Working Paper)
Date: 2002
Subjects:
Freetext Keywords: Stochastic programming; Recursive stochastic programming; Agricultural sustainability
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Economía y Ciencias Sociales Agrarias [hasta 2014]
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 5910
DC Identifier: http://oa.upm.es/5910/
OAI Identifier: oai:oa.upm.es:5910
Deposited by: Prof. Maria Blanco
Deposited on: 07 Feb 2011 14:52
Last Modified: 20 Apr 2016 14:36
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