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math.DS2026
On Data-Driven Unbiased Predictors using the Koopman Operator
Roland Schurig, Pieter van Goor, Karl Worthmann +1
The Koopman operator and its data-driven approximations, such as extended dynamic mode decomposition (EDMD), are widely used for analysing, modelling, and controlling nonlinear dyn…
math.DS2025
Shaping the Koopman dictionary by learning on the Grassmannian
Roland Schurig, Pieter van Goor, Karl Worthmann +1
Extended dynamic mode decomposition (EDMD) is a powerful tool to construct linear predictors of nonlinear dynamical systems by approximating the action of the Koopman operator on a…