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math.NA2026
Randomized Symplectic Model Reduction: One-Pass Basis Construction and Sketched Hamiltonian Assembly
Robin Herkert, Bernard Haasdonk, Jörg Fehr
Symplectic model order reduction of Hamiltonian systems yields reduced dynamics that conserve the reduced Hamiltonian along exact trajectories, avoiding the artificial energy drift…
math.OC2026
Petrov-Galerkin operator inference with application to stability-encouraging identification
Johannes Rettberg, Jonas Nicodemus, Harsh Sharma +3
Data-driven model order reduction methods such as operator inference enable the efficient construction of reduced-order models directly from high-dimensional time-domain data. Stan…