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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