ACM Transactions on Mathematical Software (TOMS): Volume 40 Issue 4, June 2014
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We describe a new parallelized Python library for model reduction, modal analysis, and system identification of large systems and datasets. Our library, called modred, handles a wide range of problems and any data format. The modred library contains implementations of the Proper Orthogonal Decomposition (POD), balanced POD (BPOD) Petrov-Galerkin projection, ...
Model reduction, Observer/Kalman Filter Identification, Python, Balanced Proper Orthogonal Decomposition, Dynamic Mode Decomposition, Eigensystem Realization Algorithm, Proper Orthogonal Decomposition, system identification, Koopman modes