State-Of-The-Art Algorithms For Low-Rank Dynamic Mode Decomposition
Authors: Patrick Heas, Cedric Herzet
Abstract: This technical note reviews sate-of-the-art algorithms for linear approximation of high-dimensional dynamical systems using low-rank dynamic mode decomposition (DMD). While repeating several parts of our article "low-rank dynamic mode decomposition: an exact and tractable solution", this work provides additional details useful for building a comprehensive picture of state-of-the-art methods.
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