On the moments approximation method for constructing a Lagrangian Stochastic model
โ Scribed by Shuming Du; John D. Wilson; Eugene Yee
- Publisher
- Springer
- Year
- 1994
- Tongue
- English
- Weight
- 864 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0006-8314
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The modeling approach of B. L. Sawford and F. H. Guest ("8th Symposium of Turbulence and Diffusion; San Diego, CA," pp. 96-99. Am. Meteorol. Soc., Boston, MA, 1990) is extended to encompass the formulation of Lagrangian stochastic models for fluid velocities along heavy-particle trajectories in inho
we consider multidimensional systems of coupled nonlinear stochastic differential equations suitable for the study of the dynamics of collections of interacting noisy spiking neurons. Assumptions based on the smallness of third and higher central order moments of membrane potentials and recovery var
A Lagrangian stochastic model for the dispersion and deposition of submicron-size particles is formulated and validated. The model satisfies the well-mixed condition, incorporates molecular diffusivity, and accounts for the effects of Reynolds number upon Lagrangian particle statistics. Reynolds num
Ieceived 15 3uly.1974 An nth order truncation of the continued fraction representation lof the molecular dipole moment correlation function is introduced from the free rotation representation and an kteraction process which is supposed to be governed by a Poisson distribution. We can then derive a