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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16415
DC FieldValueLanguage
dc.contributor.authorGonzález Sánchez, Luisen_US
dc.date.accessioned2016-04-09T02:30:17Z-
dc.date.accessioned2018-02-21T14:34:04Z-
dc.date.available2016-04-09T02:30:17Z-
dc.date.available2018-02-21T14:34:04Z-
dc.date.issued2011en_US
dc.identifier.isbn978-988-19251-4-5en_US
dc.identifier.issn2078-0958en_US
dc.identifier.urihttp://hdl.handle.net/10553/16415-
dc.description.abstractA complex stochastic Boolean system (CSBS) is a system depending on an arbitrary number n of stochastic Boolean variables. The analysis of CSBSs is mainly based on the intrinsic order: a partial order relation defined on the set f0; 1gn of binary n-tuples. The usual graphical representation for a CSBS is the intrinsic order graph: the Hasse diagram of the intrinsic order. In this paper, some new properties of the intrinsic order graph are studied. Particularly, the set and the number of its edges, the degree and neighbors of each vertex, as well as typical properties, such as the symmetry and fractal structure of this graph, are analyzed…en_US
dc.formatapplication/pdf-
dc.languageengen_US
dc.relationAvances en Simulación de Campos de Viento y Radiación Solar.en_US
dc.rightsby-nc-nd-
dc.sourceProceedings of the World Congress on Engineering 2011, WCE 2011, 6-8 july, London, U.K. [ISBN 978-988-19251-4-5], v. 2, 2011, p. 1194-1199en_US
dc.subject110202 Algebra de Booleen_US
dc.subject12 Matemáticasen_US
dc.subject1208 Probabilidaden_US
dc.subject.otherTerms—complex stochastic Boolean systemen_US
dc.subject.otherHasse diagramen_US
dc.subject.otherIntrinsic orderen_US
dc.subject.otherIntrinsic order graphen_US
dc.subject.otherPoseten_US
dc.titleComplex sochastic Boolean systems: new properties of the intrinsic order graphen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceWorld Congress on Engineering (WCE 2011)
dc.relation.conferenceWorld Congress on Engineering 2011, WCE 2011
dc.identifier.scopus80755174416-
dc.identifier.isi000393012800053-
dc.contributor.authorscopusid35248076500-
dc.identifier.absysnet721335-
dc.identifier.crisid1254-
dc.description.lastpage1199-
dc.description.firstpage1194-
dc.relation.volume2-
dc.investigacionCienciasen_US
dc.project.acronymCLI-
dc.project.classificationInvestigación-
dc.project.end31-12-2011-
dc.project.referenceCGL2008-06003-C03-01-
dc.project.scopeEstatal-
dc.project.start01-01-2009-
dc.project.titleModelos numéricos predictores para gestión medioambiental-
dc.project.typeProyecto-
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid1802854
dc.identifier.external1254-
dc.identifier.external1254-
dc.identifier.external1254-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Gonzalez, L
dc.date.coverdateNoviembre 2011
dc.identifier.conferenceidevents121026
dc.identifier.ulpgcSíes
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.project.principalinvestigatorMontenegro Armas, Rafael-
crisitem.event.eventsstartdate06-07-2011-
crisitem.event.eventsstartdate06-07-2011-
crisitem.event.eventsenddate08-07-2011-
crisitem.event.eventsenddate08-07-2011-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.fullNameGonzález Sánchez, Luis-
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