… a diffusing slab. The model, developed for a homogeneous slab, is based on the diffusion
approximation … by Monte Carlo simulations in order to determine the applicability limits of the …

… in the standard diffusion Monte Carlo method without using the locality approximation. We
… The variational property of the resulting algorithm provides a stable diffusion process, even …

… Both diffusion approximation (DA) and Monte Carlo (MC) models have been used to
simulate light distribution in multilayered human skin with or without discrete blood vessels. …

… We shall compare the results obtained by the Monte Carlo method with those deduced from
… of the diffusion approximation. It has been shown that the diffusion approximation describes …

… Monte Carlo method, whereas the results calculated by means of the diffusion approximation
… In the hybrid method, the time-consuming Monte Carlo calculation is employed only for the …

… As mentioned above, the Monte Carlo method samples the wave function after each time …
diffusion and birth–death processes, after each (finite) time step, provides an approximation to …

… biological tissue is often treated within the diffusion approximation (DA). The major … of a
more accurate numerical model, employing the Monte Carlo (MC) approach, but avoids the need …

… other, and the diffusion approximations follow directly from the … Monte Carlo estimators and
deterministic approximations for … diffusion approximations, Green’s functions and Monte Carlo …

… media are difficult to describe within the diffusion approximation, because they do not meet
… Monte Carlo simulations. On the basis of these simulations and the diffusion approximation a …

… The Monte Carlo method stands alone when analytic … Ordinary Monte Carlo models trace
a huge number of photon trajectories … To take advantage of the diffusion approximation, we …