A. J. Chorin, Numerical study of slightly viscous flow, Journal of Fluid Mechanics, vol.23, issue.04, pp.785-796, 1973.
DOI : 10.1017/S0022112073002016

I. Coulibaly and C. Lécot, Simulation of diffusion using quasi-random walk methods, Mathematics and Computers in Simulation, vol.47, issue.2-5, pp.153-163, 1998.
DOI : 10.1016/S0378-4754(98)00100-1

R. Haddad, C. Lécot, and G. Venkiteswaran, Quasi-Monte Carlo Simulation of Diffusion in a Spatially Nonhomogeneous Medium, pp.339-354, 2008.
DOI : 10.1007/978-3-642-04107-5_21
URL : https://hal.archives-ouvertes.fr/hal-00392298

L. Farnell and W. G. Gibson, Monte Carlo simulation of diffusion in a spatially nonhomogeneous medium: correction to the Gaussian steplength, Journal of Computational Physics, vol.198, issue.1, pp.65-79, 2004.
DOI : 10.1016/j.jcp.2003.12.019

L. Farnell and W. G. Gibson, Monte Carlo simulation of diffusion in a spatially nonhomogeneous medium: A biased random walk on an asymmetrical lattice, Journal of Computational Physics, vol.208, issue.1, pp.253-265, 2005.
DOI : 10.1016/j.jcp.2005.02.013

W. Feller, An Introduction to Probability Theory and its Applications, 1968.

A. L. Fogelson and R. H. Dillon, Optimal Smoothing in Function-Transport Particle Methods for Diffusion Problems, Journal of Computational Physics, vol.109, issue.2, pp.155-163, 1993.
DOI : 10.1006/jcph.1993.1208

A. F. Ghoniem and F. S. Sherman, Grid-free simulation of diffusion using random walk methods, Journal of Computational Physics, vol.61, issue.1, pp.611-648, 1985.
DOI : 10.1016/0021-9991(85)90058-0

O. H. Hald, Convergence of Random Methods for a Reaction-Diffusion Equation, SIAM Journal on Scientific and Statistical Computing, vol.2, issue.1, pp.85-94, 1981.
DOI : 10.1137/0902007

J. R. Hunter, P. D. Craig, and H. E. Phillips, On the use of random walk models with spatially variable diffusivity, Journal of Computational Physics, vol.106, issue.2, pp.366-376, 1993.
DOI : 10.1016/S0021-9991(83)71114-9

M. Kac, Random Walk and the Theory of Brownian Motion, The American Mathematical Monthly, vol.54, issue.7, pp.369-391, 1947.
DOI : 10.2307/2304386

C. Lécot, Ein direktes Monte-Carlo-Simulationsverfahren und gleichverteilte Folgen zur L??sung der Boltzmann-Gleichung, Computing, vol.38, issue.1-2, pp.41-57, 1989.
DOI : 10.1007/BF02238728

C. Lécot and I. Coulibaly, A Quasi-Monte Carlo Scheme Using Nets for a Linear Boltzmann Equation, SIAM Journal on Numerical Analysis, vol.35, issue.1, pp.51-70, 1998.
DOI : 10.1137/S0036142995290051

C. Lécot and F. Khettabi, Quasi-Monte Carlo Simulation of Diffusion, Journal of Complexity, vol.15, issue.3, pp.342-359, 1999.
DOI : 10.1006/jcom.1999.0509

V. Matveev, A. Sherman, and R. S. Zucker, New and Corrected Simulations of Synaptic Facilitation, Biophysical Journal, vol.83, issue.3, pp.1368-1373, 2002.
DOI : 10.1016/S0006-3495(02)73907-6

W. J. Morokoff and R. E. Caflisch, A Quasi-Monte Carlo Approach to Particle Simulation of the Heat Equation, SIAM Journal on Numerical Analysis, vol.30, issue.6, pp.1558-1573, 1993.
DOI : 10.1137/0730081

H. Niederreiter, Random Number Generation and Quasi-Monte Carlo Methods, SIAM CBMS-NSF Regional Conference Series in Applied Mathematics 63, 1992.
DOI : 10.1137/1.9781611970081

G. Venkiteswaran and M. Junk, Quasi-Monte Carlo algorithms for diffusion equations in high dimensions, Mathematics and Computers in Simulation, vol.68, issue.1, pp.23-41, 2005.
DOI : 10.1016/j.matcom.2004.09.003