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Identifying sensitivity-dominant parameters via active subspaces in reduced-order modeling of fluid dynamics
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Reduced order modeling for spatio-temporal pattern approximation in diffusive Lotka-Volterra equations
arXiv:2606.04030v1 Announce Type: new Abstract: This paper presents an efficient reduced order modeling (ROM) framework for simulating spatio-temporal pattern formation in three-species diffusive Lotka-Volterra systems. To alleviate the high computational cost associated with long-time simulations of the high-dimensional full order model (FOM), we apply proper orthogonal decomposition (POD) to project the solution onto a low-dimensional subspace. Further efficiency is achieved through...
Alpine clear first hurdle in review of Gasly's Monaco penalty
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