Uses of Interface
net.sf.tweety.math.norm.RealVectorNorm

Packages that use RealVectorNorm

Package	Description
net.sf.tweety.arg.prob.analysis
net.sf.tweety.arg.prob.dynamics
net.sf.tweety.logics.mln.analysis
net.sf.tweety.logics.pcl.analysis
net.sf.tweety.logics.pcl.reasoner
net.sf.tweety.math.norm

Uses of RealVectorNorm in net.sf.tweety.arg.prob.analysis

Fields in net.sf.tweety.arg.prob.analysis declared as RealVectorNorm

Modifier and Type	Field	Description
private RealVectorNorm	PAInconsistencyMeasure.norm	The norm used for measuring the distances.

Constructors in net.sf.tweety.arg.prob.analysis with parameters of type RealVectorNorm

Constructor	Description
PAInconsistencyMeasure(RealVectorNorm norm, DungTheory theory, PASemantics semantics)	Creates a new inconsinstency measure which uses the given norm and measures wrt.

Uses of RealVectorNorm in net.sf.tweety.arg.prob.dynamics

Fields in net.sf.tweety.arg.prob.dynamics declared as RealVectorNorm

Modifier and Type	Field	Description
private RealVectorNorm	AbstractPAChangeOperator.norm	The norm used for distance measurement between probabilistic extensions.

Methods in net.sf.tweety.arg.prob.dynamics that return RealVectorNorm

Modifier and Type	Method	Description
protected RealVectorNorm	AbstractPAChangeOperator.getNorm()	Returns the norm.

Constructors in net.sf.tweety.arg.prob.dynamics with parameters of type RealVectorNorm

Constructor	Description
AbstractPAChangeOperator(PASemantics semantics, RealVectorNorm norm, SimpleRealValuedFunction f)	Creates a new change operator for the given semantics that uses the specified norm for distance measuring and the given function for optimizing.
PARevisionOperator(PASemantics semantics, RealVectorNorm norm, SimpleRealValuedFunction f)	Creates a new change operator for the given semantics that uses the specified norm for distance measuring and the given function for optimizing.
PAUpdateOperator(PASemantics semantics, RealVectorNorm norm, SimpleRealValuedFunction f)	Creates a new change operator for the given semantics that uses the specified norm for distance measuring and the given function for optimizing.

Uses of RealVectorNorm in net.sf.tweety.logics.mln.analysis

Fields in net.sf.tweety.logics.mln.analysis declared as RealVectorNorm

Modifier and Type	Field	Description
private RealVectorNorm	AggregatingCoherenceMeasure.norm	The norm used to measure the difference of the probabilities of each ground instance for a single formula.

Constructors in net.sf.tweety.logics.mln.analysis with parameters of type RealVectorNorm

Constructor	Description
AggregatingCoherenceMeasure(RealVectorNorm norm, AggregationFunction aggregator)

Uses of RealVectorNorm in net.sf.tweety.logics.pcl.analysis

Fields in net.sf.tweety.logics.pcl.analysis declared as RealVectorNorm

Modifier and Type	Field	Description
private RealVectorNorm	MinimalViolationInconsistencyMeasure.norm	The norm.
private RealVectorNorm	MinimumViolationMachineShop.norm	The norm.

Constructors in net.sf.tweety.logics.pcl.analysis with parameters of type RealVectorNorm

Constructor	Description
MinimalViolationInconsistencyMeasure(RealVectorNorm norm, Solver solver)	Creates a new measure the given norm
MinimumViolationMachineShop(RealVectorNorm norm)	Creates a new machine shop for the norm

Uses of RealVectorNorm in net.sf.tweety.logics.pcl.reasoner

Fields in net.sf.tweety.logics.pcl.reasoner declared as RealVectorNorm

Modifier and Type	Field	Description
private RealVectorNorm	GeneralizedMeReasoner.norm	The norm.

Uses of RealVectorNorm in net.sf.tweety.math.norm

Classes in net.sf.tweety.math.norm that implement RealVectorNorm

Modifier and Type	Class	Description
class	AbstractRealVectorNorm	Abstract class for real vector norms.
class	AggregatingNorm	This norm uses an aggregator on the 1-norm distance of each value.
class	EntropyNorm<T extends java.lang.Comparable<T>>	The entropy norm.
class	ManhattanNorm	The Manhattan norm.
class	MaximumNorm	The Maximum norm.
class	PNorm	The p-norm.
class	ProbabilisticAggregatingNorm	This distance function uses an aggregator on a probabilistically normalized distance for probabilities of each value.
class	ProbabilisticPNorm	This class implement the p-norm distance function where distances are normalized corresponding to their distance to 0.5.