"Comparing nonlinear dimensionality reduction for data-driven unsteady fluid flow modeling" explores various NDR techniques, ie manifold learning & deep learning, noting superior spatial reconstruction & physically interpretable modes. Submitted by: Hunor Csala @UUtah

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