Uses of Class
org.tweetyproject.math.opt.rootFinder.OptimizationRootFinder
Packages that use OptimizationRootFinder
Package
Description
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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.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.