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.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
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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.