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Sparse Regression

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arXiv cs.LG·7/18/2026

New Insights on Sparse Identification of Nonlinear Dynamics for Engineering

A recent tutorial introduces the Sparse Identification of Nonlinear Dynamics (SINDy) method, which allows for the recovery of governing equations from small datasets. This technique is particularly useful in engineering contexts where data is scarce and interpretability is crucial.

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