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Autor:
Kay Elkins-Elliott, Frank W. Elliott
Publikováno v:
Texas Wesleyan Law Review. 11:7-30
This paper will guide the reader through the legal settlement process stage by stage but will first show an opposing "twitch" that comes from the traditional law school training noted above, emphasized by television and motion picture portrayals of l
Publikováno v:
Domain Decomposition Methods 10. :391-399
Publikováno v:
Journal of Computational Physics. 132:384-408
A new hierarchical method for the Monte Carlo simulation of random fields called the Fourier?wavelet method is developed and applied to isotropic Gaussian random fields with power law spectral density functions. This technique is based upon the ortho
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 7:39-48
Monte Carlo methods for computing various statistical aspects of turbulent diffusion with long range correlated and even fractal random velocity fields are described here. A simple explicit exactly solvable model with complex regimes of scaling behav
Autor:
Frank W. Elliott, Andrew J. Majda
Publikováno v:
Physics of Fluids. 8:1052-1060
New numerical results on scalar pair dispersion through an inertial range spanning many decades are presented here. These results are achieved through a new Monte Carlo algorithm for synthetic turbulent velocity fields, which has been developed and v
Publikováno v:
Journal of Statistical Physics. 81:717-736
Two hierarchical Monte Carlo methods for the generation of self-similar fractal random fields are compared and contrasted. The first technique, successive random addition (SRA), is currently popular in the physics community. Despite the intuitive app
Autor:
Andrew J. Majda, Frank W. Elliott
Publikováno v:
Journal of Computational Physics. 117:146-162
A new Monte Carlo algorithm for constructing and sampling stationary isotropic Gaussian random fields with power-law energy spectrum, infrared divergence, and fractal self-similar scaling is developed here. The theoretical basis for this algorithm in
Autor:
Andrew J. Majda, Frank W. Elliott
Publikováno v:
Journal of Computational Physics. 113:82-111
A new algorithm is developed here for Monte Carlo simulation of turbulent diffusion with random velocity fields having a power law spatial spectrum, arbitrarily many statistical scales, long range correlations, and infrared divergence. This algorithm
Publikováno v:
Journal of Computational Physics; March 1, 1995, Vol. 117 Issue: 1 p146-162, 17p
Autor:
Frank W, Elliott
Publikováno v:
Texas Tech law review. 10(2)