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dc.contributor.author
Cincotta, Pablo Miguel  
dc.contributor.author
Giordano, Claudia Marcela  
dc.contributor.other
Skokos, Charalampos Haris  
dc.contributor.other
Gottwald, Georg A.  
dc.contributor.other
Laskar, Jacques  
dc.date.available
2021-10-07T16:29:36Z  
dc.date.issued
2016  
dc.identifier.citation
Cincotta, Pablo Miguel; Giordano, Claudia Marcela; Theory and applications of the Mean Exponential Growth factor of Nearby Orbits (MEGNO) method; Springer Verlag Berlín; 2016; 93-128  
dc.identifier.isbn
978-3-662-48408-1  
dc.identifier.uri
http://hdl.handle.net/11336/143164  
dc.description.abstract
Springer-Verlag Berlin Heidelberg(Review por invitación)In this chapter we discuss in a pedagogical way and from the verybeginning the "Mean Exponential Growth factor of Nearby Orbits method" (MEGNO), that has proven, in the last ten years, to be efficient to investigate both regular and chaotic components of phase space of a Hamiltonian system. It is a fast indicator that provides a clear picture of the resonance structure, the location of stable and unstable periodic orbits as well as a measure of hyperbolicity in chaotic domains which coincides with that given by the maximum Lyapunov characteristic exponent but in a shorter evolution time. Applications of the MEGNO to simple discrete and continuous dynamical systems are discussed and an overview of the stability studies presentin the literature encompassing quite different dynamical systems is provided.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Verlag Berlín  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DYNAMICAL SYSTEMS  
dc.subject
CHAOS  
dc.subject.classification
Astronomía  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Theory and applications of the Mean Exponential Growth factor of Nearby Orbits (MEGNO) method  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2021-08-23T15:20:15Z  
dc.journal.pagination
93-128  
dc.journal.pais
Alemania  
dc.journal.ciudad
Heidelberg  
dc.description.fil
Fil: Cincotta, Pablo Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina  
dc.description.fil
Fil: Giordano, Claudia Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-662-48410-4_4  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-662-48410-4_4  
dc.conicet.paginas
269  
dc.source.titulo
Chaos Detection and Predictability