A data-driven computational framework for deriving low-dimensional linear models for nonlinear dynamical systems from experimental data, enabling global stability analysis and accurate predictions.
Manifolds are spaces that look Euclidean when you zoom in on any one of their points. Introduced by Bernhard Riemann, they have become a mathematical staple in fields like geometry, physics, and data analysis.
