HIGHLIGHTS
SUMMARY
Generally, spatial flow structures are represented by modes and their temporal variations are captured by the corresponding modal coefficients. This allows a representation of the flow dynamics by a reduced set of modes and a simpler description of the dynamics through the temporal evolution of the modal coefficients. Prevalent examples are the decomposition into Fourier modes, dynamic mode decomposition (DMD), proper orthogonal decomposition (POD) and many variations and modified versions of these techniques. Projecting flow data onto a finite-dimensional subspace and using a reduced number of modes as a set of basis functions . . .
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