Extracting Sparse High-Dimensional Dynamics from Limited Data
Extracting Sparse High-Dimensional Dynamics from Limited Data
Extracting governing equations from dynamic data is an essential task in model selection and parameter estimation. The form of the governing equation is rarely known a priori; however, based on the sparsity-of-effect principle one may assume that the number of candidate functions needed to represent the dynamics is very small. …