"A data-driven learned discretization approach in finite volume schemes for ..."

Guillaume de Romémont et al. (2024)

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DOI: 10.48550/ARXIV.2412.07541

access: open

type: Informal or Other Publication

metadata version: 2025-01-15

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Guillaume de Romémont, Florent Renac, Jorge Núñez, Francisco Chinesta:
A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions. CoRR abs/2412.07541 (2024)

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