The moment-guided Monte Carlo method

Pierre Degond, Giacomo Dimarco*, Lorenzo Pareschi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)

Abstract

In this work we propose a new approach for the numerical simulation of kinetic equations through Monte Carlo schemes. We introduce a new technique that permits to reduce the variance of particle methods through a matching with a set of suitable macroscopic moment equations. In order to guarantee that the moment equations provide the correct solutions, they are coupled to the kinetic equation through a nonequilibrium term. The basic idea, on which the method relies, consists in guiding the particle positions and velocities through moment equations so that the concurrent solution of the moment and kinetic models furnishes the same macroscopic quantities.

Original languageEnglish
Pages (from-to)189-213
Number of pages25
JournalInternational Journal for Numerical Methods in Fluids
Volume67
Issue number2
DOIs
Publication statusPublished - 20 Sept 2011

Keywords

  • Boltzmann equation
  • Finite volume methods
  • Fluid equations
  • Hybrid methods
  • Monte Carlo methods
  • Variance reduction

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Applied Mathematics

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