Uses of Class
org.tweetyproject.math.opt.rootFinder.OptimizationRootFinder
Package
Description
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Uses of OptimizationRootFinder in org.tweetyproject.logics.pcl.analysis
ModifierConstructorDescriptionAbstractCreepingMachineShop(OptimizationRootFinder rootFinder)
BalancedMachineShop(OptimizationRootFinder rootFinder)
ConvexAggregatingMeMachineShop(OptimizationRootFinder rootFinder)
Creates a new measure for p=1.DistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder, int p)
Creates a new measure for the given p.DistanceMinimizationMachineShop(OptimizationRootFinder rootFinder)
MaximumEntropyMachineShop(OptimizationRootFinder rootFinder)
MeanDistanceCulpabilityMeasure(OptimizationRootFinder rootFinder, boolean normalized)
Creates a new measure.NormalizedDistanceMinimizationInconsistencyMeasure(OptimizationRootFinder rootFinder, int p)
PclBeliefSetQuadraticErrorMinimizationMachineShop(CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure, OptimizationRootFinder rootFinder)
Creates a new machine shop based on the given culpability measure.PclDefaultConsistencyTester(OptimizationRootFinder rootFinder)
PenalizingCreepingMachineShop(OptimizationRootFinder rootFinder)
SmoothedPenalizingCreepingMachineShop(OptimizationRootFinder rootFinder, CulpabilityMeasure<ProbabilisticConditional,PclBeliefSet> culpabilityMeasure)
Creates a new creeping machine shop based on the given culpability measure.UnbiasedCreepingMachineShop(OptimizationRootFinder rootFinder)
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Uses of OptimizationRootFinder in org.tweetyproject.logics.pcl.reasoner
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Uses of OptimizationRootFinder in org.tweetyproject.math.opt.rootFinder
Modifier and TypeClassDescriptionclass
Implements the BFGS method to find zeros of a (multi-dimensional) function.class
Implements the gradient descent method to find zeros of a (multi-dimensional) function.class
Implements the hessiane/gradient descent method to find zeros of a (multi-dimensional) function.