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WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION

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We present a novel weak formulation and discretization for discovering governing equations from noisy measurement data. This method of learning differential equations from data fits into a new class of algorithms that replace pointwise derivative approximation... ...