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papersSEP 10 04:00 UTC

Tensor-Train Weak SINDy Aims to Cut Cost of Learning High-Dimensional Dynamics

A new arXiv preprint introduces TT-weak-SINDy, a method that combines weak-form system identification with tensor-train decompositions. The approach is designed to reduce the memory and computational burden that current weak-form techniques face when applied to high-dimensional dynamical systems. The authors position it as a scalable alternative for data-driven discovery of nonlinear dynamics.

arXiv TT-weak-SINDy high-dimensional dynamical systems nonlinear dynamics tensor-train decomposition weak-form system identification

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arXiv cs.LGTensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics ↗SEP 10 04:00 UTC