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dc.contributor.author
Elaskar, Sergio Amado
dc.date.available
2023-12-01T16:47:11Z
dc.date.issued
2022-12-30
dc.identifier.citation
Elaskar, Sergio Amado; Symmetry in nonlinear dynamics and chaos; MDPI; Symmetry; 15; 1; 30-12-2022; 1-3
dc.identifier.uri
http://hdl.handle.net/11336/219073
dc.description.abstract
Nonlinear dynamics and chaos have collaborated to increase our understanding of several phenomena. In this Special Issue, some recent advances in nonlinear dynamical systems and chaotic behaviors are reviewed.This Special Issue consists of eight papers recently published in MDPI’s journal Symmetry under the general thematic title “Symmetry in Nonlinear Dynamics and Chaos” (see [1,2,3,4,5,6,7,8]). The content of these eight published papers covers the following subjects:−Thermoablation in the treatment of tumorous bones [1].−Analyses of a hyperchaotic nonlinear dynamical system [2].−Shunting inhibitory cellular neural networks [3,5].−Predictive regularity of symmetry groups to generate an algebraic theory of patterns [4].−The nonlinear dynamics of the lithosphere–atmosphere–ionosphere coupling and its relation with earthquakes [6].−The nonlinear dynamics of the impact of the non-constant velocity shockwave over straight surfaces [7].−An analysis method for two-symbol symbolic time series [8].
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Chaos
dc.subject
Theory of patterns
dc.subject
Neural networks
dc.subject
Time series
dc.subject.classification
Matemática Aplicada
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Symmetry in nonlinear dynamics and chaos
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-29T13:19:23Z
dc.identifier.eissn
2073-8994
dc.journal.volume
15
dc.journal.number
1
dc.journal.pagination
1-3
dc.journal.pais
Suiza
dc.description.fil
Fil: Elaskar, Sergio Amado. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina
dc.journal.title
Symmetry
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-8994/15/1/102
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3390/sym15010102
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