Galka, Andreas
Description
This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from
...
dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state space reconstruction, correlation dimension estimation, testing for determinism and surrogate data testing are presented - algorithms which have been playing a central role in the investigation of deterministic chaos and related phenomena since 198
Read more