Predictability of Chaotic Dynamics A Finite-time Lyapunov Exponents Approach /

• Main Authors: Vallejo, Juan C. (Author, http://id.loc.gov/vocabulary/relators/aut), Sanjuan, Miguel A. F. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 2nd ed. 2019.
• Series: Springer Series in Synergetics,
• Subjects: Statistical physics.; Physics.; Space sciences.; Mathematical physics.; Applications of Nonlinear Dynamics and Chaos Theory.; Numerical and Computational Physics, Simulation.; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics).; Mathematical Applications in the Physical Sciences.

This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the p...

Table of Contents:

• Preface
• Forecasting and chaos
• Lyapunov exponents
• Dynamical regimes and timescales
• Predictability
• Chaos, predictability and astronomy
• A detailed example: galactic dynamics
• Appendix. .