Journal of Computational Dynamics· 2014
On dynamic mode decomposition: Theory and applications
- 1,460citations
- 2014year
Short summary
A new theoretical framework generalizes Dynamic Mode Decomposition (DMD) to analyze nonsequential time series and rank-deficient datasets, improving computational efficiency and noise mitigation.
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Statistical and Nonlinear PhysicsPhysics and Astronomy