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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.