A reduced-order model for parametrized optimal transport problems using low-dimensional cone or subspace constraints and EIM-based error estimation.
Mapping of coherent structures in parameterized flows by learning optimal transportation with gaussian models.Journal of Computational Physics, 471:111671
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A reduced-order model for parametrized Optimal Transport problems
A reduced-order model for parametrized optimal transport problems using low-dimensional cone or subspace constraints and EIM-based error estimation.