Predictability of Complex Dynamical Systems (Springer Series in Synergetics)

Kravtsov, Yurii A.; Kadtke, James B. (Eds.)

ISBN 10: 3540612874 / ISBN 13: 9783540612872

Edité par Springer-Verlag, Berlin, 1996

A propos de cet article

First printing, hardcover, ex-library with typical markings, very slight bumps to spine ends and corners, faint sunning to spine, and a touch of shelfwear to edges, otherwise a solid Good copy.

N° de réf. du vendeur 89264

Détails bibliographiques

• Titre: Predictability of Complex Dynamical Systems (Springer Series in Synergetics)
• Éditeur: Springer-Verlag, Berlin
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 3540612874
• ISBN à 13 chiffres: 9783540612872
• Reliure: Hardcover
• Édition: 1st Printing.
• État de l'article: Good
• État de la jaquette: No Dustjacket
• Catalogues du vendeur:
  • Mathematics

A propos de ce titre

Synopsis

This book addresses researchers and practitioners interested in modeling, prediction and forecasting of natural systems based on nonlinear dynamics. It is a practical guide to data analysis and to the development of algorithms especially for complex systems presenting topics like characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability. The authors consider practical problems from e.g. signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. They give new methods for nonlinear filtering of complex signals and new algorithms for signal classification, and the concept of the "Global Brain".