Titlebook: Geostatistical Simulations; Proceedings of the G M. Armstrong,P. A. Dowd Conference proceedings 1994 Springer Science+Business Media Dordre

Cerebrovascular

Geert W. J. M. Driessen,Lia W. J. Mulderssible to introduce rules of interaction that mimic processes, based on transport phenomena, which generate random media on a lattice. This physical approach of simulations is illustrated by constructing random aggregates obtained by diffusion, nucleation and growth, under various hydrodynamical conditions.

樸素

An Extension of the LU Decomposition Method of Simulation,ements. This paper reviews the original LU decomposition algorithm and then proposes an alternative method of decomposition, via ring theory, which significantly extends the size of simulation which can be performed.

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Conditional Simulation for Mining: Practical Implementation in an Industrial Environment,e changed, it is hoped that some of the experience related in this paper may provide new perspectives to those involved in theoretical research and development, and ensure that practical solutions are available for the practical problems faced by industry.

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Random media and lattice gas simulations,ssible to introduce rules of interaction that mimic processes, based on transport phenomena, which generate random media on a lattice. This physical approach of simulations is illustrated by constructing random aggregates obtained by diffusion, nucleation and growth, under various hydrodynamical conditions.

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昏暗

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伸展

Random media and lattice gas simulations,ysics[5], generates random walks of a population of particles in mechanical interactions, respecting basic physical conservation laws (mass and momentum). The behaviour of this model reproduces viscous flows obeying the Navier-Stokes equations. When considering different types of particles, it is po

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Theory and Practice of Sequential Simulation,odel, the conditional probability of a single random variable given any number of conditioning values. Sequential simulation can be used with those multivariate models for which these conditional probabilities can be determined. In practice, it is not enough to know how to determine the conditional