MonteCarloAlgorithm.Metropolis

class MonteCarloAlgorithm.Metropolis[source]

runs the monte carlo alg to find average energy levels of a hamiltonian

Methods

`__init__`()
`metropolis_montecarlo`(hamiltonian, config[, ...])	runs a full metropolis sweep on a hamiltonian :Parameters: * config bit string * temperature temperature * calc_sweep how many iterations it should run for * pre_calc_sweep how many iterations it should run before calculations begin
`metropolis_to_end_values`(...[, temperature])	converts full metropolis sweep results into useful values :Parameters: * average_energy_samples average energy array * average_energy_samples_squared average energy squared array * average_magnetization_samples average magnetization array * average_magnetization_samples_squared average magnetization squared array * temperature temperature of system