Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Predictability of Chaotic Dynamics : A Finite-time Lyapunov Exponents Approach, Hardback Book

Predictability of Chaotic Dynamics : A Finite-time Lyapunov Exponents Approach Hardback

Part of the Springer Series in Synergetics series

Hardback

Description

This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observation, modeling and computation are strongly interdependent.

Unlike with physical systems under control in laboratories, for instance in celestial mechanics, one is confronted with the observation and modeling of systems without the possibility of altering the key parameters of the objects studied.

Therefore, the numerical simulations offer an essential tool for analyzing these systems. With the widespread use of computer simulations to solve complex dynamical systems, the reliability of the numerical calculations is of ever-increasing interest and importance.

This reliability is directly related to the regularity and instability properties of the modeled flow.

In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation.

This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the finite-time Lyapunov exponents approach.

The method is illustrated using a number of well-known continuous dynamical systems, including the Contopoulos, Henon-Heiles and Roessler systems.

To help students and newcomers quickly learn to apply these techniques, the appendix provides descriptions of the algorithms used throughout the text and details how to implement them in order to solve a given continuous dynamical system.

Information

Other Formats

Save 16%

£63.99

£53.25

Item not Available
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Springer Series in Synergetics series  |  View all