Könyv Extracting Knowledge From Time Series Bezruchko

Extracting Knowledge From Time Series

An Introduction to Nonlinear Empirical Modeling

Szerző: Bezruchko
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
19 327 Ft
This book addresses the fundamental question on how to construct mathematical models for the evoluti...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2010
oldal
410
EAN
9783642126000
ISBN
3642126006
Enbook ID
04406719
Súly
774
Méretek
238 x 157 x 36

Teljes leírás

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.

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