Tensor-Train Stochastic Finite Volume Method for Efficient Uncertainty Quantification of Hyperbolic Conservation Laws

The authors introduce a tensor-train reformulation of the stochastic finite volume (SFV) method to efficiently tackle high-dimensional uncertainty quantification problems for hyperbolic conservation laws involving shocks and discontinuities.