Uses of Interface
dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction
-
-
Uses of TemperedAcceptanceProbabilityFunction in dev.nm.solver.multivariate.unconstrained.annealing
Constructors in dev.nm.solver.multivariate.unconstrained.annealing with parameters of type TemperedAcceptanceProbabilityFunction Constructor Description SimulatedAnnealingMinimizer(TemperatureFunction temperatureFunction, AnnealingFunction annealingFunction, TemperedAcceptanceProbabilityFunction probabilityFunction, int markovLength, StopCondition stopCondition, RandomLongGenerator uniform)
Constructs a new instance. -
Uses of TemperedAcceptanceProbabilityFunction in dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction
Classes in dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction that implement TemperedAcceptanceProbabilityFunction Modifier and Type Class Description class
BoxGSAAcceptanceProbabilityFunction
This probability function boxes an unconstrained probability function so that when a proposed state is outside the box, it has a probability of 0.class
GSAAcceptanceProbabilityFunction
The GSA acceptance probability function.class
MetropolisAcceptanceProbabilityFunction
Uses the classic Metropolis rule, f_{t+1}/f_t.
-