Codes to run some Dynamic Mode Decompositions (DMD) algorithms on multiple time-series data with some prebuilt choices of observables and example simulation models in python modules. The one step and N step options refer only to the predictions using the dynamics matrix rather than its estimation itself. Used research at University of California Santa Barbara (UCSB).
Codes to run some Dynamic Mode Decompositions (DMD) algorithms on multiple time-series data with some prebuilt choices of observables and example simulation models in python modules. The one step and N step options refer only to the predictions using the dynamics matrix rather than its estimation itself. Used research at University of California Santa Barbara (UCSB).