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

A recursive Monte Carlo method for the Boltzmann equation in the Maxwellian case

  • Lorenzo PARESCHI and Bernt WENNBERG
From the journal Monte Carlo Methods and Applications
https://doi.org/10.1515/mcma.2001.7.3-4.349
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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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
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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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