Predictability of Complex Dynamical Systems
Springer Berlin (Verlag)
978-3-642-80256-0 (ISBN)
1 Introduction.- 2 Time Series Analysis: The Search for Determinism.- Method to Discriminate Against Determinism in Time Series Data.- Observing and Predicting Chaotic Signals: Is 2% Noise Too Much?.- A Discriminant Procedure for the Solution of Inverse Problems for Non-stationary Systems.- Classifying Complex, Deterministic Signals.- 3 Dynamical Modeling and Forecasting Algorithms.- Strategy and Algorithms of Dynamical Forecasting.- Parsimony in Dynamical Modeling.- The Bifurcation Paradox: The Final State Is Predictable If the Transition Is Fast Enough.- 4 Prediction of Biological Systems.- Models and Predictability of Biological Systems.- Limits of Predictability for Biospheric Processes.- 5 Analysis and Forecasting of Financial Data.- The Application of Wave Form Dictionaries to Stock Market Index Data.- 6 Socio-Political and Global Problems.- Messy Futures and Global Brains.
Erscheint lt. Verlag | 5.1.2012 |
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Reihe/Serie | Springer Series in Synergetics |
Zusatzinfo | XII, 234 p. 2 illus. in color. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 387 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
Schlagworte | algorithms • Chaos • Complex Systems • Dynamical Systems • Forecasting • Modeling • Nonlinear Dynamics • Predictability • Strategy • Synergetics • Time Series Analysis |
ISBN-10 | 3-642-80256-7 / 3642802567 |
ISBN-13 | 978-3-642-80256-0 / 9783642802560 |
Zustand | Neuware |
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