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Type: Artigo de periódico
Title: Statistical moments of the solution of the random Burgers-Riemann problem
Author: Cunha, MCC
Dorini, FA
Abstract: We solve Burgers' equation with random Riemann initial conditions. The closed solution allows simple expressions for its statistical moments. Using these ideas we design an efficient algorithm to calculate the statistical moments of the solution. Our methodology is an alternative to the Monte Carlo method. The present approach does not demand a random numbers generator as does the Monte Carlo method. Computational tests are added to validate our approach. (C) 2008 IMACS. Published by Elsevier B.V. All tights reserved.
Subject: Random Burgers' equation
Monte Carlo method
Riemann problem
Statistical moments
Numerical methods for random partial differential equations
Country: Holanda
Editor: Elsevier Science Bv
Citation: Mathematics And Computers In Simulation. Elsevier Science Bv, v. 79, n. 5, n. 1440, n. 1451, 2009.
Rights: fechado
Identifier DOI: 10.1016/j.matcom.2008.06.001
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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