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A Report on Using Parallel MATLAB (R) For Solutions to Stochastic Optimal Control Problems

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dc.contributor.author Azzato, Jeffrey D
dc.contributor.author Krawczyk, Jacek B
dc.date.accessioned 2008-08-24T21:36:23Z
dc.date.accessioned 2022-07-06T22:38:32Z
dc.date.available 2008-08-24T21:36:23Z
dc.date.available 2022-07-06T22:38:32Z
dc.date.copyright 2008
dc.date.issued 2008
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/18987
dc.description.abstract Parallel MATLAB (R) is a recent MathWorks (TM) product enabling the use of parallel computing methods on multicore personal computers. SOCSol is the generic name of a suite of MATLAB (R) routines that can be used to obtain optimal solutions to continuous-time stochastic optimal control problems. In this report, we compare the performance of a new version of SOCSol utilising parallel MATLAB (R) with that of another version not using parallel computing methods. en_NZ
dc.format pdf en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.relation.ispartofseries Working Paper en_NZ
dc.subject Computational economics en_NZ
dc.subject Stochastic optimal control en_NZ
dc.subject Computational techniques en_NZ
dc.subject Computational methods en_NZ
dc.subject Approximating Markov decision chains en_NZ
dc.subject Economic software en_NZ
dc.title A Report on Using Parallel MATLAB (R) For Solutions to Stochastic Optimal Control Problems en_NZ
dc.type Text en_NZ
vuwschema.contributor.unit School of Economics and Finance en_NZ
vuwschema.subject.anzsrcfor 149999 Economics not elsewhere classified en_NZ
vuwschema.subject.marsden 280406 Mathematical Software en_NZ
vuwschema.subject.marsden 230119 Systems Theory and Control en_NZ
vuwschema.subject.marsden 340299 Applied Economics n.e.c. en_NZ
vuwschema.subject.marsden 340402 Econometric and Statistical Methods en_NZ
vuwschema.subject.marsden 230118 Optimisation en_NZ
vuwschema.type.vuw Working or Occasional Paper en_NZ
vuwschema.subject.anzsrcforV2 389999 Other economics not elsewhere classified en_NZ


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