This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and co

Distinguishing chaoticity from regularity in deterministic dynamical systems and specifying the subspace of the phase space in which instabilities are expected

The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the

The previous edition of this text was the first to provide a quantitative introduction to chaos and nonlinear dynamics at the undergraduate level. It was widely

This book describes the state of the art in nonlinear dynamical reconstruction theory. The chapters are based upon a workshop held at the Isaac Newton Institute