The analysis of univariate or multivariate time series provides crucial information to describe,
understand, and predict climatic variability. The discovery and implementation of a number …

The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …

The paradigm of deterministic chaos has influenced thinking in many fields of science.
Chaotic systems show rich and surprising mathematical structures. In the applied sciences …

This paper surveys some of the methods that have been suggested for reducing noise in
time-series data whose underlying dynamical behavior can be characterized as low …

Numerical techniques are presented for constructing nonlinear predictive models directly
from time series data. The accuracy of the short-term predictions is tested using computer …

Fractals arise from a variety of sources and have been observed in nature and on computer
screens. One of the exceptional characteristics of fractals is that they can be described by a …

This book is an introduction to machine learning control (MLC), a surprisingly simple model-
free methodology to tame complex nonlinear systems. These systems are assumed to be …

We studied a number of measures that characterize the difficulty of a classification problem,
focusing on the geometrical complexity of the class boundary. We compared a set of real …

Written by the leading authority in the subject, Handbook of Surface Metrology covers every
conceivable aspect of measuring and characterizing a surface. Focusing both on theory and …

The Handbook of Surface and Nanometrology explains and challenges current concepts in
nanotechnology. It covers in great detail surface metrology and nanometrology and more …