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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2016.
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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.