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Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation
We study the local errors of classical machine-learning surrogate models, which approximate the time evolution of the one-dimensional viscous Burgers equation. Four models are compared on the same prediction task, using the spatial grid values directly: radial basis function (RBF) kernel ridge regre
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