dc.contributorSchuverdt, M. L.
dc.contributorKudraszow, N. L.
dc.contributorVignau, R. P.
dc.contributorSanchez, M. D.
dc.creatorAcosta, Maria Florencia
dc.creatorAimar, Hugo Alejandro
dc.creatorGomez, Ivana Daniela
dc.creatorMorana, Federico Maximiliano
dc.date.accessioned2022-04-06T18:14:34Z
dc.date.accessioned2022-10-15T15:17:00Z
dc.date.available2022-04-06T18:14:34Z
dc.date.available2022-10-15T15:17:00Z
dc.date.created2022-04-06T18:14:34Z
dc.date.issued2021
dc.identifierDiffusive metrics induced by multiaffinities. The COVID-19 setting for Buenos Aires (AMBA); VIII Congreso de Matemática Aplicada, Computacional e Industrial; La Plata; Argentina; 2021; 731-734
dc.identifierhttp://hdl.handle.net/11336/154518
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4401705
dc.description.abstractIn this work we aim to use tools of discrete harmonic analysis in order to provide a metric in the set of the 41 cities belonging to the largest urban concentration in Argentina based on public transport and neighborhood. The results can be applied to predict and control the spread of COVID-19 and other pandemic diseases in such a setting.
dc.languageeng
dc.publisherAsociación Argentina de Matemática Aplicada, Computacional e Industrial
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://asamaci.org.ar/wp-content/uploads/2021/07/MACI-Vol-8-2021.pdf
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceTrabajos presentados al VIII MACI 2021
dc.subjectWEIGHTED GRAPHS
dc.subjectDIFFUSION
dc.subjectGRAPH LAPLACIAN
dc.subjectMETRIZATION
dc.subjectCOVID-19
dc.subjectAMBA-ARGENTINA
dc.titleDiffusive metrics induced by multiaffinities. The COVID-19 setting for Buenos Aires (AMBA)
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.typeinfo:ar-repo/semantics/documento de conferencia


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