A new well-balanced high-order scheme for non-conservative hyperbolic systems with sources, verified on blood flow equations in arterial networks.
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2025 2representative citing papers
Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.
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Well-balanced high-order method for non-conservative hyperbolic PDEs with source terms: application to one-dimensional blood flow equations with gravity
A new well-balanced high-order scheme for non-conservative hyperbolic systems with sources, verified on blood flow equations in arterial networks.
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Model Order Reduction Techniques for the Stochastic Finite Volume Method
Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.