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dc.contributor.authorRubido, Nicolás
dc.contributor.authorGrebogi, Celso
dc.contributor.authorBaptista, Murilo S.
dc.date.accessioned2018-01-15T10:49:07Z
dc.date.available2018-01-15T10:49:07Z
dc.date.issued2018-03
dc.identifier.citationRubido , N , Grebogi , C & Baptista , M S 2018 , ' Entropy-based Generating Markov Partitions for Complex Systems ' Chaos , vol. 28 , no. 3 , 033611 , pp. 1-11 . https://doi.org/10.1063/1.5002097en
dc.identifier.issn1054-1500
dc.identifier.otherPURE: 114682712
dc.identifier.otherPURE UUID: 6d93c447-6fd1-4e50-ae46-7a8571ce09f7
dc.identifier.otherArXiv: http://arxiv.org/abs/1711.09072v1
dc.identifier.otherScopus: 85044327496
dc.identifier.urihttp://hdl.handle.net/2164/9905
dc.identifier.urihttp://arxiv.org/abs/1711.09072v1en
dc.descriptionAuthors thank the Scottish University Physics Alliance (SUPA) support and NR also thanks PEDECIBA.en
dc.format.extent11en
dc.language.isoeng
dc.relation.ispartofChaosen
dc.rightsThe following article has been accepted by Chaos: An Interdisciplinary Journal of Nonlinear Science. After it is published, it will be found at https://doi.org/10.1063/1.5002097.en
dc.rightsThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. The following article appeared in Rubido, N, Grebogi, C & Baptista, MS 2018, 'Entropy-based Generating Markov Partitions for Complex Systems' Chaos, vol 28, no. 3, 033611, pp. 1-11. and may be found at https://doi.org/10.1063/1.5002097.en
dc.subjectnlin.CDen
dc.subjecteess.SPen
dc.subjectphysics.data-anen
dc.subjectMarkov partitionsen
dc.subjectShannon entropyen
dc.subjectInformation Theoryen
dc.subjectComplex Systemsen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleEntropy-based Generating Markov Partitions for Complex Systemsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Physicsen
dc.contributor.institutionUniversity of Aberdeen, Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen, Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen, Aberdeen Institute of Energyen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1063/1.5002097
dc.date.embargoedUntil20-03-20


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