Uses of Class
org.tweetyproject.math.opt.rootFinder.OptimizationRootFinder
Packages that use OptimizationRootFinder
Package
Description
-
Uses of OptimizationRootFinder in org.tweetyproject.logics.pcl.analysis
Constructors in org.tweetyproject.logics.pcl.analysis with parameters of type OptimizationRootFinderModifierConstructorDescriptionAbstractCreepingMachineShop(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) -
Uses of OptimizationRootFinder in org.tweetyproject.logics.pcl.reasoner
Constructors in org.tweetyproject.logics.pcl.reasoner with parameters of type OptimizationRootFinder -
Uses of OptimizationRootFinder in org.tweetyproject.math.opt.rootFinder
Subclasses of OptimizationRootFinder in org.tweetyproject.math.opt.rootFinderModifier and TypeClassDescriptionclassImplements the BFGS method to find zeros of a (multi-dimensional) function.classImplements the gradient descent method to find zeros of a (multi-dimensional) function.classImplements the hessiane/gradient descent method to find zeros of a (multi-dimensional) function.