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Causality-informed dynamic mode decomposition for unsteady flow analysis
Causal analysis characterizes directional dependencies in dynamical systems, while such information is not typically used to inform reduced-order modeling of unsteady flows. This study proposes a Granger Causality-informed Dynamic Mode Decomposition (GC-DMD) framework that incorporates such informat
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