Package csb :: Package statistics :: Package samplers

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# Package samplers

source code

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``'``