Chaos Detection and Predictability

Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected to occur is of utmost importance in as disparate areas as astronomy, particle physics and climate dynamics. To address these issues there ex...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Skokos, Charalampos (Haris) (Editor ), Gottwald, Georg A. (Editor ), Laskar, Jacques (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Lecture Notes in Physics, 915
Temas:
Nonlinear Optics.
Mathematical physics.
Solar system.
Physical geography.
Mathematical Methods in Physics.
Mathematical Physics.
Space Physics.
Earth System Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Estimating Lyapunov exponents from time series
  • Theory and applications of the fast Lyapunov Indicator (FLI) method
  • Theory and applications of the Orthogonal Fast Lyapunov Indicator (OFLI and OFLI2) methods
  • Theory and applications of the Mean Exponential Growth factor of Nearby Orbits (MEGNO) method
  • The Smaller (SALI) and the Generalized (GALI) Alignment Indices: Efficient Methods of Chaos Detection
  • The Relative Lyapunov Indicators: Theory and Application to Dynamical Astronomy
  • The 0-1 Test for Chaos: A review.

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