Package csb :: Package statistics :: Package samplers

Package samplers

Defines abstract samplers.

Submodules

csb.statistics.samplers.mc: Abstract Monte Carlo samplers.
- csb.statistics.samplers.mc.multichain: Implements several extended-ensemble Monte Carlo sampling algorithms.
- csb.statistics.samplers.mc.neqsteppropagator: Propagator class employing stepwise trajectories as used in the NCMC algorithm (Nilmeier et al., "Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation", PNAS 2011)
- csb.statistics.samplers.mc.propagators: Provides various deterministic and stochastic propagators.
- csb.statistics.samplers.mc.singlechain: Various Monte Carlo equilibrium sampling algorithms, which simulate only one Markov chain.

Classes
	AbstractSampler Abstract interface for sampling algorithms.
	AbstractState Represents a point in phase-space.
	DimensionError
	EnsembleState Defines an Ensemble Monte Carlo state; it is a read-only collection of State objects.
	State Represents a point in phase-space.

Variables
	__package__ = `'csb.statistics.samplers'`