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Licensed Unlicensed Requires Authentication Published by De Gruyter October 16, 2009

Analysis of relative dispersion of two particles by Lagrangian stochastic models and DNS methods

  • O.A. Kurbanmuradov , S.A. Orszag , K.K. Sabelfeld and P.K. Yeung
From the journal Monte Carlo Methods and Applications
https://doi.org/10.1515/mcma.2001.7.3-4.245
Published Online: 2009-10-16
Published in Print: 2001

Walter de Gruyter

From the journal
Monte Carlo Methods and Applications
Monte Carlo Methods and Applications
Volume 7 Issue 3-4
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Journal and Issue

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Rapid Diffusion Monte Carlo Algorithms for Fluid Dynamic Permeability
Stochastic Lagrangian model for spatially inhomogeneous Smoluchowski equation governing coagulating and diffusing particles
A Review of Some Monte Carlo Simulation Methods for Turbulent Systems
Analysis of relative dispersion of two particles by Lagrangian stochastic models and DNS methods
Weak solution of semi-linear PDE, BSDE and homogenization
Classification of Digital Modulations Using MCMC Methods
A Quasi-Monte Carlo Method for Elliptic Boundary Value Problems
Probabilistic approach to turbulent two-phase flows modelling and simulation: theoretical and numerical issues
Approximations for Nonlinear Filters based on Quantisation
On a class of SPDEs called Brownian particle equation – Model for nonlinear diffusions
Diffusive Behavior of Interacting Particle Systems
Tagged particles of interacting Brownian motions with skew symmetric drifts
A recursive Monte Carlo method for the Boltzmann equation in the Maxwellian case
On the discretization in time of parabolic stochastic partial differential equations
Forward and Backward Stochastic Lagrangian Models for turbulent transport and the well-mixed condition
Monte Carlo methods in neutron and photon transport problems
Real time transformation of pre-computed Monte Carlo results for fitting optical measurements in biomedical applications
Communication structure of discretized degenerate diffusion processes and approximation of Lyapunov exponents
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