Functional representation of power-law random fields and time series

DOI10.1016/0021-9991(91)90251-FzbMath0729.60115OpenAlexW2003695075MaRDI QIDQ806217

E. H. jun. Canfield, James A. Viecelli

Publication date: 1991

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0021-9991(91)90251-f

zbMATH Keywords

generating stationary random fieldsrepresentation of random fieldsspectral weightingstime-dependence in random field problems

Mathematics Subject Classification ID

Stationary stochastic processes (60G10) Other physical applications of random processes (60K40) Inference from stochastic processes (62M99)

Related Items (6)

A Fourier-wavelet Monte Carlo method for fractal random fields ⋮ Randomized spectral and Fourier-wavelet methods for multidimensional Gaussian random vector fields ⋮ Comparative analysis of multiscale Gaussian random field simulation algorithms ⋮ A Review of Some Monte Carlo Simulation Methods for Turbulent Systems ⋮ Monte Carlo methods for turbulent tracers with long range and fractal random velocity fields ⋮ Hierarchical Monte Carlo methods for fractal random fields

Cites Work

• Parallel processing of random number generation for Monte Carlo turbulence simulation
• Random access to a random number sequence
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