Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics
Weak Sparse Identification of Nonlinear Dynamics (WSINDy) provides a noise-robust approach for learning dynamical systems from data without requiring numerical differentiation. However, for high-dimensional systems, tensor-product libraries of candidate functions grow exponentially with the state dimension, making stan...
W. Houser, Vanja Dukic, David M. Bortz
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