Sparse learning of stochastic dynamic equations

6 Dec 2017Lorenzo BoninsegnaFeliks NüskeCecilia Clementi

With the rapid increase of available data for complex systems, there is great interest in the extraction of physically relevant information from massive datasets. Recently, a framework called Sparse Identification of Nonlinear Dynamics (SINDy) has been introduced to identify the governing equations of dynamical systems from simulation data... (read more)

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