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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Skokos, Charalampos (Haris) (Επιμελητής έκδοσης), Gottwald, Georg A. (Επιμελητής έκδοσης), Laskar, Jacques (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Physics, 915
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.