cXGBoost predicts parameter-dependent POD bases on the Grassmann manifold using constrained gradient boosting for adaptive reduced-order modeling of parametric systems.
ApplicationsofPOD-BasedReduced-OrderModelstoRapid3-DFluid-Flow Prediction
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Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
cXGBoost predicts parameter-dependent POD bases on the Grassmann manifold using constrained gradient boosting for adaptive reduced-order modeling of parametric systems.