Recent work in adaptive importance sampling is applied to Markov chain models for Monte Carlo simulations. When this technique is incorporated into the simulation of physical processes, it can give orders-of-magnitude improvement in convergence times relative to standard approaches. We review the re
Stochastic simulation of Taylor's dispersion in the airways
โ Scribed by Michel Bres; Abdellaziz Ben Jebria
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 504 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0010-4809
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โฆ Synopsis
A stochastic simulation was devised in order to obtain a more correct solution of the phenomenon of convection combined with axial and radial diffusion, which is also called Taylor's dispersion, as it could occur in the pulmonary tract. The fit with Ark' moments which can be deemed as a reference since they are obtained analytically without approximation, was quite good. On the other hand, Taylor's solution usually led to large discrepancies with these moments. Taylor's stipulation that his solution be used only under certain conditions was therefore confirmed. This solution is not applicable in the lungs. o 1985 Academic Press, Inc.
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