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Waserstein model reduction approach for parametrized flow problems in porous media

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arxiv 2205.02721 v1 pith:HDIFANMZ submitted 2022-05-05 math.NA cs.NA

classification math.NAcs.NA
keywords problemsworkapproachmediamodelparametrizedporousreduction
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The aim of this work is to build a reduced-order model for parametrized porous media equations. The main challenge of this type of problems is that the Kolmogorov width of the solution manifold typically decays quite slowly and thus makes usual linear model-order reduction methods inappropriate. In this work, we investigate an adaptation of the methodology proposed in a previous work, based on the use of Wasserstein barycenters, to the case of non-conservative problems. Numerical examples in one-dimensional test cases illustrate the advantages and limitations of this approach and suggest further research directions that we intend to explore in the future.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems

    math.NA 2024-11 conditional novelty 6.0 of 10

    Optimal transport displacement interpolation augments sparse simulation data and maps virtual time to real time, enabling reduced-order predictions for nonlinear advection-dominated flows.

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