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dc.creatorGonzález Lorenzo, Aldoes
dc.creatorBac, Alexandraes
dc.creatorMari, Jean-Luces
dc.creatorReal Jurado, Pedroes
dc.date.accessioned2021-09-22T11:17:09Z
dc.date.available2021-09-22T11:17:09Z
dc.date.issued2014
dc.identifier.citationGonzález Lorenzo, A., Bac, A., Mari, J. y Real Jurado, P. (2014). Computing Homological Information Based on Directed Graphs within Discrete Objects. En SYNASC 2014: 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (571-578), Timisoara, Romania: IEEE Computer Society.
dc.identifier.isbn978-1-4799-8447-3es
dc.identifier.urihttps://hdl.handle.net/11441/126111
dc.description.abstractn-dimensional discrete objects can be interpreted as cubical complexes which are suitable for the study of their homology groups in order to understand the original discrete object. The classic approach consists in computing the Normal Smith Form of some matrices associated to the cubical complex. Further approaches deal mainly with a pre-processing of the matrices in order to reduce their size. In this paper we propose a new approach, initially based on discrete Morse theory, which computes some homological information (Betti numbers and representative cycles) without calculating the Normal Smith Form. It works on any dimension, and it can also be applied to any kind of regular cell complex.es
dc.formatapplication/pdfes
dc.format.extent8es
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofSYNASC 2014: 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2014), pp. 571-578.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleComputing Homological Information Based on Directed Graphs within Discrete Objectses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/7034732es
dc.identifier.doi10.1109/SYNASC.2014.82es
dc.publication.initialPage571es
dc.publication.endPage578es
dc.eventtitleSYNASC 2014: 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computinges
dc.eventinstitutionTimisoara, Romaniaes
dc.relation.publicationplaceNew York, USAes

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