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Found 2 papers, 1 papers with code
Data-Driven Identification of Quadratic Representations for Nonlinear Hamiltonian Systems using Weakly Symplectic Liftings
By leveraging this, we obtain quadratic dynamics that are Hamiltonian in a transformed coordinate system.
A Grassmann Manifold Handbook: Basic Geometry and Computational Aspects
The Grassmann manifold of linear subspaces is important for the mathematical modelling of a multitude of applications, ranging from problems in machine learning, computer vision and image processing to low-rank matrix optimization problems, dynamic low-rank decompositions and model reduction.
Numerical Analysis Numerical Analysis Differential Geometry 15-02, 15A16, 15A18, 15B10, 22E70, 51F25, 53C80, 53Z99
