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STDMD (i.e. Streaming Total Dynamic Mode Decomposition) is a variant of
a data-driven dimensionality reduction method.
STDMD is being used as a mathematical post-processing tool to compute
a set of dominant modes out of a given flow (or dataset) each of which is
associated with a constant frequency and decay rate, so that dynamic
features of a given flow may become interpretable, and tractable.
Among other Dynamic Mode Decomposition (DMD) variants, STDMD is presumed
to provide the general DMD method capabilities alongside economised and
feasible memory and CPU usage.
Please refer to the header file documentation for further details.
ENH: add new STDMD tutorial, pimpleFoam/laminar/cylinder2D
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