Results 291 to 300 of about 743,578 (322)

Discrete Hamiltonian-assisted Hamiltonian sampling

Sampling from discrete distributions is a fundamental task in many statistical applications, with Markov Chain Monte Carlo (MCMC) being one of the primary approaches. We introduce two novel MCMC algorithms that address key challenges in efficient sampling from discrete spaces.
openaire   +1 more source

Critical Point Theory and Hamiltonian Systems

, 1989
J. Mawhin, M. Willem
semanticscholar   +1 more source

Halide perovskites enable polaritonic XY spin Hamiltonian at room temperature

Nature Materials, 2022
Louis Haeberlé, , Dafei Jin
exaly  

MCMC Using Hamiltonian Dynamics

, 2011
Radford M. Neal
semanticscholar   +1 more source

Variational methods: Applications to nonlinear partial differential equations and Hamiltonian systems

, 1990
M. Struwe
semanticscholar   +1 more source

Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation

Nature Computational Science, 2022
, Zun Wang, Meng Ye
exaly  

Entanglement Hamiltonian tomography in quantum simulation

Nature Physics, 2021
Christian Kokail, Rick van Bijnen, Andreas Elben   +2 more
exaly  

Linear port-Hamiltonian descriptor systems

Math. Control. Signals Syst., 2018
C. Beattie, V. Mehrmann, Hongguo Xu, H. Zwart   +3 more
semanticscholar   +1 more source

Hamiltonians

1987
openaire   +1 more source

Hamiltonian theory of guiding-center motion

Reviews of Modern Physics, 2009
Alain Brizard
exaly