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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16393
DC FieldValueLanguage
dc.contributor.authorGonzález Sánchez, Luisen_US
dc.date.accessioned2016-04-08T02:30:17Z-
dc.date.accessioned2018-02-21T14:20:48Z-
dc.date.available2016-04-08T02:30:17Z-
dc.date.available2018-02-21T14:20:48Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4614-2316-4en_US
dc.identifier.issn1876-1100en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/16393-
dc.description.abstractMany different complex systems depend on a large number n of mutually independent random Boolean variables. The most useful representation for these systems –usually called complex stochastic Boolean systems (CSBSs)– is the intrinsic order graph. This is a directed graph on 2n vertices, corresponding to the 2n binary n-tuples (u1, . . . , un) _ {0, 1} n of 0s and 1s. In this paper, different duality properties of the intrinsic order graph are rigorously analyzed in detail. The results can be applied to many CSBSs arising from any scientific, technical or social area…en_US
dc.formatapplication/pdf-
dc.languageengen_US
dc.relation.ispartofLecture Notes in Electrical Engineeringen_US
dc.rightsby-nc-nd-
dc.source"Electrical Engineering and Intelligent Systems. -- Berlin : Springer, 2012 (Lecture Notes in Electrical Engineering, ISSN 1876-1100; vol. 130).en_US
dc.subject110202 Algebra de Booleen_US
dc.subject.otherÁlgebra Booleanaen_US
dc.subject.otherAnálisis de sistemas complejosen_US
dc.subject.otherComplex stochastic Boolean systemsen_US
dc.subject.otherIntrinsic orderen_US
dc.subject.otherIntrinsic order graphen_US
dc.subject.otherComplementary n-tuplesen_US
dc.subject.otherDualityen_US
dc.titleDuality in complex stochastic boolean systemsen_US
dc.typeBookParten_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Conference in Electrical Engineering and Intelligent Systems, (WCE 2011).en_US
dc.identifier.doi10.1007/978-1-4614-2317-1_2en_US
dc.identifier.scopus84865459924-
dc.contributor.authorscopusid35248076500-
dc.identifier.absysnet721229-
dc.identifier.crisid1254-
dc.identifier.eissn1876-1119-
dc.description.lastpage27en_US
dc.description.firstpage15en_US
dc.relation.volume130en_US
dc.investigacionCienciasen_US
dc.project.acronymCLI-
dc.project.classificationInvestigación-
dc.project.end31-12-2011-
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/openAccess-
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-1-4614-2317-1-
dc.utils.revisionSíen_US
dc.date.coverdate2012en_US
dc.identifier.supplement1254-
dc.identifier.supplement1876-1100-
dc.identifier.supplement1254-
dc.identifier.supplement1876-1100-
dc.identifier.supplement1254-
dc.identifier.conferenceidevents121026-
dc.identifier.ulpgcSíes
dc.description.sjr0,115
dc.description.sjrqQ3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate06-07-2011-
crisitem.event.eventsenddate08-07-2011-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.fullNameGonzález Sánchez, Luis-
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