
EAN: 9783662484081

Bilder-Quelle: discount24.de - Sport-Freizeit
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 exists a plethora of methods for chaos detection and predictability. The most commonly employed technique for investigating chaotic dynamics i.e. the computation of Lyapunov exponents however may suffer a number of problems and drawbacks for example when applied to noisy experimental data. In the last two decades several novel methods have been developed for the fast and reliable determination of the regular or chaotic nature of orbits aimed at overcoming the shortcomings of more traditional techniques. This set of lecture notes and tutorial reviews serves as an introduction to and overview of modern chaos detection and predictability techniquesfor graduate students and non-specialists. The book covers theoretical and computational aspects of traditional methods to calculate Lyapunov exponents as well as of modern techniques like the Fast (FLI) the Orthogonal (OFLI) and the Relative (RLI) Lyapunov Indicators the Mean Exponential Growth factor of Nearby Orbits (MEGNO) the Smaller (SALI) and the Generalized (GALI) Alignment Index and the '0-1' test for chaos.
Produktinformationen zuletzt aktualisiert am
27.03.2025 um 02:41 Uhr
27.03.2025 um 02:41 Uhr
Hersteller
-
EAN
9783662484081
MPN
-
ASIN
3662484080
Produktgruppe
-

Produktzustand:
Verfügbarkeit:
Versandkosten:
Sonderpreis:

Sie sind Shopbetreiber? Listen Sie ganz einfach Ihre Produkte hier bei uns im Portal >>>
Letzte EAN Aktualisierungen:
9783110584981 - Current Trends in Computer Science and Mechanical ...9783031168284 - SpringerBriefs in Computer Science Robust Networ...
9783662484081 - Chaos Detection and Predictability Kartoniert (TB)...
9780552178488 - The Fine Art of Uncanny Prediction - Robert Goddar...