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Extracting Knowledge From Time Series

Name: Extracting Knowledge From Time Series
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 04406719
Price: 51.62 EUR
Availability: InStock
Author: Bezruchko
ISBN: 9783642126000

An Introduction to Nonlinear Empirical Modeling

Bezruchko

Language

English

Book Hardback

Libristo code: 04406719

Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, September 2010

This book addresses the fundamental question on how to construct mathematical models for the evoluti... Full description

Libristo code: 04406719

125 b

51.62 €

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This book addresses the fundamental question on how to construct mathematical models for the evolution of dynamical systems from experimentally obtained time series. §Emphasis is on chaotic signals and nonlinear modeling, with the aim to obtain a quantitative measure for the forecast of future system evolution. In particular, the reader will learn how to construct difference and differential model equations depending on the amount of a priori information that is available on the system in addition to the experimental data sets. §This book will benefit graduate students and researchers from all natural sciences alike, who seek a self-contained and thorough introduction to this subject.