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Dynamic optimisation problems: Different resolution methods regarding agriculture and natural resource economics
Citation
Blanco Fonseca, Maria 
ORCID: https://orcid.org/0000-0002-7491-3262 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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
