Search Results for author:
Found 2 papers, 1 papers with code
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps
In the limit of small mapping times, the Hamiltonian function can be identified with a part of the generating function and thereby learned from observed time-series data of the system's evolution.
Symplectic integration with non-canonical quadrature for guiding-center orbits in magnetic confinement devices
We study symplectic numerical integration of mechanical systems with a Hamiltonian specified in non-canonical coordinates and its application to guiding-center motion of charged plasma particles in magnetic confinement devices.
Computational Physics
Cannot find the paper you are looking for? You can
Submit a new open access paper.
