Data/hora: 02/06/2024 12:31:22

Provedor de dados: 	31	
País: 	United States	
Título: 	A Comparison of Parametric Approximation Techniques to Continuous-Time Stochastic Dynamic Programming Problems	
Autores: 	Kompas,   Tom; Chu,   Long.	
Data: 	2010-10-21	
Ano: 	2010	
Palavras-chave: 	Stochastic dynamic programming; Parametric approximation; Perturbation; Projection; Linear programming; Optimal fishing; Marine reserves; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C61; C63; Q22.	
Resumo: 	We compare three parametric techniques to approximate Hamilton-Jacobi-Bellman equations via unidimensional and multidimensional problems. The linear programming technique is very efficient for unidimensional problems and offers a balance of speed and accuracy for multidimensional problems. A comparable projection technique is shown to be slow, but has stable accuracy, whereas a perturbation technique has the least accuracy although its speed suffers least from the curse of dimensionality. The linear programming technique is also shown to be suitable for problems in resource management, including applications to biosecurity and marine reserve design.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/95044	
Relação: 	Australian National University&gt;Environmental Economics Research Hub&gt;Research Reports

Environmental Economics Research Hub Research Reports

71	
Formato: 	33