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Scale Invariance and Beyond

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Cover of 'Scale Invariance and Beyond'

Table of Contents

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    Book Overview
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    Chapter 1 Scale Invariance Without Mechanism ?
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    Chapter 2 Scale Invariance and Beyond: What Can We Learn from Wavelet Analysis ?
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    Chapter 3 Fractional Derivatives in Static and Dynamic Scaling
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    Chapter 4 Multi-Dimensional Self-Similarity, and Self-Gravitating N-Body Systems
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    Chapter 5 Scaling in Stock Market Data: Stable Laws and Beyond
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    Chapter 6 Hysteresis, Avalanches, and Barkhausen Noise
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    Chapter 7 Burgers Turbulence and the Energy Landscape of Randomly Pinned Objects
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    Chapter 8 Power Laws and Scale Invariance in Physical Metallurgy
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    Chapter 9 Scale Invariance in Fluids with Anticorrelated Entropy-Specific Volume Fluctuations
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    Chapter 10 Scale Invariance(s) in the Cosmic Matter Distribution?
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    Chapter 11 Scale Invariance of the Avalanche Effect in Phase Transition Modulated Mantle Mixing
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    Chapter 12 Scale Invariance of Earthquakes
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    Chapter 13 Models for Evolution and Extinction
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    Chapter 14 Scale Invariance in Economics and in Finance
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    Chapter 15 Models of Artificial Foreign Exchange Markets
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    Chapter 16 From Scale-Invariance to Scale-Covariance in Out-of-Equilibrium Systems
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    Chapter 17 Turbulence: Statistical Approach
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    Chapter 18 Discrete Scale Invariance
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    Chapter 19 Scale Relativity
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    Chapter 20 Scaling in Turbulent Flows
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    Chapter 21 Statistical Scale Symmetry Breaking
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Citations

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51 Dimensions

Readers on

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7 Mendeley
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Title
Scale Invariance and Beyond
Published by
Springer Berlin Heidelberg, January 1997
DOI 10.1007/978-3-662-09799-1
ISBNs
978-3-54-064000-4, 978-3-66-209799-1
Editors

B. Dubrulle, F. Graner, D. Sornette

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Earth and Planetary Sciences 1 14%
Economics, Econometrics and Finance 1 14%
Physics and Astronomy 1 14%
Unknown 4 57%