cXGBoost predicts parameter-dependent POD bases on the Grassmann manifold using constrained gradient boosting for adaptive reduced-order modeling of parametric systems.
Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process
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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.