A new Monte Carlo approach for conservation laws and relaxation systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We present a Monte Carlo method for approximating the solution of conservation laws. A relaxation method is used to transform the conservation law to a kinetic form that can be interpreted in a probabilistic manner. A Monte Carlo algorithm is then used to simulate the kinetic approximation. The method we present in this paper is simple to formulate and to implement, and can be straightforwardly extended to higher dimensional conservation laws. Numerical experiments are carried out using Burgers equation subject to both smooth and nonsmooth initial data.

Original languageEnglish
Title of host publicationComputational Science. ICCS 2004
PublisherSpringer
Pages276-283
Number of pages8
ISBN (Electronic)9783540246879
ISBN (Print)9783540221159
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science
Volume3037
ISSN (Print)0302-9743

Keywords

  • Boltzmann Equation
  • Burger Equation
  • Monte Carlo Algorithm
  • Monte Carlo Approach
  • Relaxation System

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'A new Monte Carlo approach for conservation laws and relaxation systems'. Together they form a unique fingerprint.

Cite this