Observables and DMD theory

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Discovering governing equations from data by sparse identification of nonlinear dynamical systems


This video highlights the recent innovation of using overcomplete libraries and sparse regression to discover nonlinear dynamical systems from time series data.




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Data-driven methods for discovery of observables and Koopman embeddings in dynamical systems


This video highlights a presentation at the IPAM workshop on Collective Variables in Classical Mechanics (Workshop II from October 24-28, 2016).


  • Primary collaborators Steven Brunton and Joshua Proctor
© 2016 dmdbook