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Application of Cellular Automata Algorithms to the Parallel Simulation of Laser Dynamics

dc.creatorGuisado Lizar, José Luises
dc.creatorJiménez Morales, Franciscoes
dc.creatorGuerra, J.M.es
dc.creatorFernández, F.es
dc.date.accessioned2024-09-05T09:45:30Z
dc.date.available2024-09-05T09:45:30Z
dc.date.issued2008
dc.identifier.citationGuisado Lízar, J.L., Jiménez Morales, F.,...,Fernández, F. (2008). Application of Cellular Automata Algorithms to the Parallel Simulation of Laser Dynamics. En Optimization Techniques for Solving Complex Problems (pp. 325-345). John Wiley & Sons, Inc..
dc.identifier.isbn978-047029332-4es
dc.identifier.urihttps://hdl.handle.net/11441/162272
dc.description.abstractIn this chapter we review the use of a biologically inspired heuristic technique— cellular automata (CA)—as a problem solver for one of the most paradigmatic complex systems: the laser. CAs are a class of mathematical system that can be used to model spatiotemporal phenomena, characterized by the discreteness of all of its variables: space, time, and normally state variables. An important property of CAs is their intrinsic parallel character. Therefore, they are specially well suited to be implemented very efficiently on parallel computers.es
dc.formatapplication/pdfes
dc.format.extent21es
dc.language.isoenges
dc.publisherJohn Wiley & Sons, Inc.es
dc.relation.ispartofOptimization Techniques for Solving Complex Problemses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCellular automataes
dc.subjectLaseres
dc.subjectCAses
dc.titleApplication of Cellular Automata Algorithms to the Parallel Simulation of Laser Dynamicses
dc.typeinfo:eu-repo/semantics/bookPartes
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadoreses
dc.identifier.doi10.1002/9780470411353.ch19es
dc.publication.initialPage325es
dc.publication.endPage345es

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