Tensor methods for the Boltzmann-BGK equation

DOI10.1016/j.jcp.2020.109744OpenAlexW2982798447MaRDI QIDQ2123758

Daniele Venturi, Arnout M. P. Boelens, Daniel M. Tartakovsky

Publication date: 14 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.04904

zbMATH Keywords

non-equilibriumtensor methodhigh-dimensional PDE

Mathematics Subject Classification ID

Numerical analysis (65-XX) Statistical mechanics, structure of matter (82-XX)

Related Items

Dynamic tensor approximation of high-dimensional nonlinear PDEs ⋮ Adaptive integration of nonlinear evolution equations on tensor manifolds ⋮ Implicit integration of nonlinear evolution equations on tensor manifolds ⋮ Solving the Boltzmann Equation with a Neural Sparse Representation ⋮ Spectral methods for nonlinear functionals and functional differential equations ⋮ Rank-adaptive tensor methods for high-dimensional nonlinear PDEs ⋮ Fast evaluation of the Boltzmann collision operator using data driven reduced order models ⋮ Low-CP-rank tensor completion via practical regularization

Uses Software

• LSQR
• Matlab
• CRAIG

Cites Work

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