Reweighting for nonequilibrium Markov processes using sequential importance sampling methods
Reweighting for nonequilibrium Markov processes using sequential importance sampling methods is a scholarly work by Yutaka Okabe, published in 2005 in ''Physical Review E''. The main subjects of the publication include Ising model, Markov chain Monte Carlo, Monte Carlo method in statistical physics, statistical physics, computer science, relaxation, Monte Carlo method, non-equilibrium thermodynamics, scaling, critical phenomena, Monte Carlo molecular modeling, physics, parallel tempering, Dynamic Monte Carlo method, Markov chain, interacting particle system, Markov process, formalism, and Hamiltonian Monte Carlo. The authors demonstrate the procedure for the Ising model with the Metropolis algorithm, but the present formalism is general and can be applied to a variety of systems as well as with different Monte Carlo update schemes.