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A fourier-wavelet Monte Carlo method for fractal random fields
Frank W. Elliott
,
David J. Horntrop
, Andrew J. Majda
Research output
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Contribution to journal
›
Article
›
peer-review
38
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Scopus citations
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Dive into the research topics of 'A fourier-wavelet Monte Carlo method for fractal random fields'. Together they form a unique fingerprint.
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Keyphrases
Monte Carlo Method
100%
Fractal
100%
Wavelet
100%
Random Field
100%
Fourier
100%
Wavelet Basis
66%
Randomized Methods
50%
Scaling Behavior
33%
Statistical Quantity
33%
Isotropic Gaussian Random Fields
33%
Non-hierarchical
33%
Computationally Efficient
16%
Two Dimensional
16%
Power Law
16%
Simulation Techniques
16%
Physical Space
16%
Monte Carlo Simulation
16%
Orthogonal Decomposition
16%
Shear Layer
16%
Multiwavelets
16%
Hierarchical Method
16%
Second Moment
16%
Compact Representation
16%
Spectral Density
16%
Simple Shear
16%
Scaling Regimes
16%
Stochastic Integral Representation
16%
Quantity of Interest
16%
Rapid Decay Property
16%
Meyer Wavelet
16%
Timing Calculations
16%
Layer Model
16%
Precomputation
16%
Solution of Differential Equations
16%
Mathematics
Monte Carlo
100%
Fractal
100%
Random Field
100%
Wavelet
100%
Scaling Behavior
28%
Gaussian Random Field
28%
Differential Equation
14%
Multiwavelets
14%
Power Law
14%
Integral Representation
14%
Spectral Density Function
14%
Layer Model
14%
Stochastic Integral
14%