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Non-Intrusive Balancing for Data-Driven Model Reduction with Oblique Projections

Padovan, Alberto
arXiv (All) · Papers
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mathematical-physics
Non-intrusive reduced-order modeling is essential for systems simulated with black- or gray-box solvers, yet computing accurate data-driven models remains challenging when the dynamics exhibit large-amplitude transient energy growth. This is because state-of-the-art non-intrusive methods typically r
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