Full Description
Are there universal laws governing the persistence of weather, and is it possible to predict climate transitions as generated by natural or man-made perturbations? How can one quantify the roller-coaster dynamics of stock markets and anticipate mega-crashes? Can we diagnose the health condition of patients from heartbeat time-series analysis, which may even form the basis for infarct prevention? This book tackles these questions by applying advanced methods from statistical physics and related fields to all types of non-linear dynamics prone to disaster. The transdisciplinary analysis is organized in some dozen review articles written by world-class scientists.
Contents
I. General.- 1. Entropy, Complexity, Predictability, and Data Analysis of Time Series and Letter Sequences.- 2. Wavelet Based Multifractal Formalism: Applications to DNA Sequences, Satellite Images of the Cloud Structure, and Stock Market Data.- II. Climate Systems.- 3. Space-Time Variability of the European Climate.- 4. Is Climate Predictable?.- 5. Atmospheric Persistence Analysis: Novel Approaches and Applications.- 6. Assessment and Management of Critical Events: The Breakdown of Marine Fisheries and The North Atlantic Thermohaline Circulation.- III. Biodynamics.- 7. Fractal and Multifractal Approaches in Physiology.- 8. Physiological Relevance of Scaling of Heart Phenomena.- 9. Local Scaling Properties for Diagnostic Purposes.- 10. Unstable Periodic Orbits and Stochastic Synchronization in Sensory Biology.- 11. Crowd Disasters and Simulation of Panic Situations.- IV. Nonlinear Economics.- 12. Investigations of Financial Markets Using Statistical Physics Methods.- 13. Market Fluctuations I: Scaling, Multiscaling, and Their Possible Origins.- 14. Market Fluctuations II: Multiplicative and Percolation Models, Size Effects, and Predictions.
