Uses of Interface dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction (NMDEV 1.2.9 API)

Packages that use TemperedAcceptanceProbabilityFunction
Package	Description
dev.nm.solver.multivariate.unconstrained.annealing
dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction

Constructors in dev.nm.solver.multivariate.unconstrained.annealing with parameters of type TemperedAcceptanceProbabilityFunction
Constructor and Description
`SimulatedAnnealingMinimizer(TemperatureFunction temperatureFunction, AnnealingFunction annealingFunction, TemperedAcceptanceProbabilityFunction probabilityFunction, int markovLength, StopCondition stopCondition, RandomLongGenerator uniform)` Constructs a new instance.

Classes in dev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction that implement TemperedAcceptanceProbabilityFunction
Modifier and Type	Class and 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.

Uses of Interfacedev.nm.solver.multivariate.unconstrained.annealing.acceptanceprobabilityfunction.TemperedAcceptanceProbabilityFunction