Class | Description |
---|---|
AbstractHybridMCMC |
Hybrid Monte Carlo, or Hamiltonian Monte Carlo, is a method that combines the traditional
Metropolis algorithm, with molecular dynamics simulation.
|
ErgodicHybridMCMC |
A simple decorator which will randomly vary dt between each sample.
|
HybridMCMC |
This class implements a hybrid MCMC algorithm.
|
LeapFrogging |
The leap-frogging algorithm is a method for simulating Molecular Dynamics, which is
time-reversible.
|
LeapFrogging.DynamicsState |
Contains the entire state (both the position and the momentum) at a given point in time.
|
MultipointHybridMCMC |
A multi-point Hybrid Monte Carlo is an extension of HybridMCMC, where during the
proposal generation instead of considering only the last configuration after the dynamics
simulation, we pick a proposal from a window of the last M configurations.
|
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