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Using a finite horizon numerical optimisation method for a periodic optimal control problem
Jeffrey Azzato and
Jacek Krawczyk ()
MPRA Paper from University Library of Munich, Germany
Abstract:
Computing a numerical solution to a periodic optimal control problem is difficult. A method of approximating a solution to a given (stochastic) optimal control problem using Markov chains was developed in [3]. This paper describes an attempt at applying this method to a periodic optimal control problem introduced in [2].
Keywords: Computational techniques ; Economic software ; Computational methods in stochastic optimal control ; Computational economics ; Approximating Markov decision chains (search for similar items in EconPapers)
JEL-codes: C63 C87 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp
Date: 2007-02-11
Downloads: (external link)http://mpra.ub.uni-muenchen.de/2298/
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Persistent link: http://EconPapers.repec.org/RePEc:pra:mprapa:2298
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