Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws
DOI10.1007/s10915-024-02614-1zbMATH Open1546.65003MaRDI QIDQ6594657
R. E. Caflisch, Giulia Bertaglia, L. Pareschi
Publication date: 28 August 2024
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Monte Carlo methodsvariance reductionasymptotic-preserving schemeshyperbolic relaxation systemsgrid-free methodsgradient random walk methods
Monte Carlo methods (65C05) Hyperbolic conservation laws (35L65) Numerical solutions to stochastic differential and integral equations (65C30) Kinetic theory of gases in time-dependent statistical mechanics (82C40)
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