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Fractals in Engineering

Overview of attention for book
Fractals in Engineering
Springer London

Table of Contents

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    Book Overview
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    Chapter 1 Theory and Applications of Fractal Tops
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    Chapter 2 Splines, Fractal Functions, and Besov and Triebel-Lizorkin Spaces
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    Chapter 3 Hölderian random functions
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    Chapter 4 Fractal Stationary Density in Coupled Maps
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    Chapter 5 A Network of Fractal Force Chains and Their Effect in Granular Materials under Compression
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    Chapter 6 Percolation and permeability of three dimensional fracture networks with a power law size distribution
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    Chapter 7 Acoustic diffraction patterns from fractal to urban structures: applications to the Sierpinski triangle and to a neoclassical urban facade
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    Chapter 8 Turbulent κ — ε model of flute-like musical instrument sound production
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    Chapter 9 A simple discrete stochastic model for laser-induced jet-chemical etching
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    Chapter 10 Invariant structures and multifractal measures in 2 d mixing systems
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    Chapter 11 Long range dependence in financial markets
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    Chapter 12 Financial Modelling by Multiscale Fractional Brownian Motion
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    Chapter 13 Limiting Fractal Random Processes in Heavy-Tailed Systems
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    Chapter 14 A non-parametric test for self-similarity and stationarity in network traffic
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    Chapter 15 Continuous evolution of functions and measures toward fixed points of contraction mappings
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    Chapter 16 Various Mathematical Approaches to Extract Information from Textures of Increasing Complexities
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    Chapter 17 Fractal Inverse Problem: Approximation Formulation and Differential Methods
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46 Mendeley
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Title
Fractals in Engineering
Published by
Springer London, December 2005
DOI 10.1007/b137729
ISBNs
978-1-84628-047-4, 978-1-84628-048-1
Editors

Lévy-Véhel, Jacques, Lutton, Evelyne

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 9%
Researcher 4 9%
Student > Postgraduate 2 4%
Student > Master 2 4%
Student > Bachelor 1 2%
Other 2 4%
Unknown 31 67%
Readers by discipline Count As %
Engineering 6 13%
Mathematics 2 4%
Earth and Planetary Sciences 2 4%
Computer Science 1 2%
Arts and Humanities 1 2%
Other 3 7%
Unknown 31 67%