Table of Contents
Mathematics, Volume 7, Issue 5 (May 2019)
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Cover Story (view full-size image) Machine learning can be used to learn multiscale discretization parameters and accelerate the [...] Read more. Machine learning can be used to learn multiscale discretization parameters and accelerate the simulations. The figure shows a coarse-grid discretization (left), neural network approximation (middle), a multiscale basis function (right) and solution (bottom). View this paper.