# Structure-preserving model order reduction of Hamiltonian systems

@inproceedings{JSHesthaven2021StructurepreservingMO, title={Structure-preserving model order reduction of Hamiltonian systems}, author={J.S.Hesthaven and C.Pagliantini and N.Ripamonti}, year={2021} }

We discuss the recent developments of projection-based model order reduction (MOR) techniques targeting Hamiltonian problems. Hamilton’s principle completely characterizes many high-dimensional models in mathematical physics, resulting in rich geometric structures, with examples in fluid dynamics, quantum mechanics, optical systems, and epidemiological models. MOR reduces the computational burden associated with the approximation of complex systems by introducing low-dimensional surrogate… Expand

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