arXiv (All)
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A Product-Grassmann Tucker Surrogate for Parametric Field Prediction
Many-query applications such as design optimization, uncertainty quantification and digital twins call for repeated full-field predictions from expensive partial differential equation (PDE) simulations. Grassmannian reduced-order models interpolate parameter-dependent subspaces but commonly vectoriz
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