MonteCarloAlgorithm.IsingHamiltonian

class MonteCarloAlgorithm.IsingHamiltonian(node_connections=[[()]], outside_affect=array([0.]))

__init__(node_connections=[[()]], outside_affect=array([0.]))

creates a hamiltonian :Parameters: * node_connections how the nodes connect to each other

• outside_affect any influence outside the hamiltonian

Methods

__init__([node_connections, outside_affect])	creates a hamiltonian :Parameters: * node_connections how the nodes connect to each other * outside_affect any influence outside the hamiltonian
compute_average_values(config[, temperature])	compute the average energy of a hamiltonian :Parameters: * config a bitstring does not really matter what is inputed * temperature temperature
energy(config)	calculates the energy of the config :Parameters: config a bitstring
energy_change(config, flipped_index[, ...])	calculates delta energy given a bit flip :Parameters: * config origin config * flipped_index index of proposed bit to flip * old_energy energy state of the current config (not required input) * Returns * delta energy * -------
make_change(energy_change, temperature)	determines if a change to the bit string should be made :Parameters: * energy_change how much energy a flip would save/cost * temperature temperature
metropolis_sweep(config[, temperature])	runs a metropolis sweep on the bitstring :Parameters: * config input config * temperature temperature