dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction

Interface TemperedAcceptanceProbabilityFunction

All Known Implementing Classes:

BoxGSAAcceptanceProbabilityFunction, GSAAcceptanceProbabilityFunction, MetropolisAcceptanceProbabilityFunction

public interface TemperedAcceptanceProbabilityFunction

A tempered acceptance probability function computes the probability that the next state transition will be accepted.

Method Summary

Modifier and Type	Method and Description
double	acceptanceProbability(Vector currentState, double energyCurrent, Vector proposedState, double energyProposed, double temperature) Computes the probability that the next state transition will be accepted.

Method Detail

acceptanceProbability

double acceptanceProbability(Vector currentState,
                             double energyCurrent,
                             Vector proposedState,
                             double energyProposed,
                             double temperature)

Computes the probability that the next state transition will be accepted.

Parameters:

currentState - the current state of the system

energyCurrent - the energy in the current state

proposedState - the proposed next state of the system

energyProposed - the energy in the proposed state

temperature - the current temperature

Returns:

the acceptance probability