Class EntropyNorm<T extends Comparable<T>>

java.lang.Object
org.tweetyproject.math.func.EntropyFunction
org.tweetyproject.math.norm.EntropyNorm<T>
Type Parameters:
T - The class of the objects used.
All Implemented Interfaces:
SimpleFunction<Vector<Double>,​Double>, SimpleRealValuedFunction, Norm<Vector<Double>>, RealVectorNorm

public class EntropyNorm<T extends Comparable<T>> extends EntropyFunction implements RealVectorNorm
The entropy norm. Uses the entropy of a vector of doubles (=probability function) as a measure of norm and the relative entropy of two probability distributions as distance. Note that entropy is not actually a norm!
Author:
Matthias Thimm
  • Constructor Details

    • EntropyNorm

      public EntropyNorm()
  • Method Details

    • norm

      public double norm(Vector<Double> obj)
      Description copied from interface: Norm
      Returns the norm of the given object
      Specified by:
      norm in interface Norm<T extends Comparable<T>>
      Parameters:
      obj - some object
      Returns:
      the norm of the object
    • norm

      public double norm(ProbabilityFunction<T> prob)
      norm
      Parameters:
      prob - problem
      Returns:
      Probability Vector As Doubles
    • normTerm

      public Term normTerm(Term[] obj)
      Description copied from interface: RealVectorNorm
      Returns the norm as a term of the given terms
      Specified by:
      normTerm in interface RealVectorNorm
      Parameters:
      obj - some term array
      Returns:
      the term of the norm
    • distanceTerm

      public Term distanceTerm(Term[] obj1, Term[] obj2)
      Description copied from interface: RealVectorNorm
      The distance between the two objects as a term.
      Specified by:
      distanceTerm in interface RealVectorNorm
      Parameters:
      obj1 - some terms
      obj2 - some terms
      Returns:
      the distance between the two objects as a term
    • distance

      public double distance(Vector<Double> obj1, Vector<Double> obj2)
      Description copied from interface: Norm
      The distance between the two object, i.e. the norm of the difference vector.
      Specified by:
      distance in interface Norm<T extends Comparable<T>>
      Parameters:
      obj1 - some object
      obj2 - some object
      Returns:
      the distance between the two objects
    • distance

      public double distance(ProbabilityFunction<T> prob1, ProbabilityFunction<T> prob2)
      distance between problems
      Parameters:
      prob1 - problem 1
      prob2 - problem 2
      Returns:
      distance
    • normTerm

      public Term normTerm(Vector<Term> obj)
      Description copied from interface: RealVectorNorm
      Returns the norm as a term of the given terms
      Specified by:
      normTerm in interface RealVectorNorm
      Parameters:
      obj - some term vector
      Returns:
      the term of the norm
    • distanceTerm

      public Term distanceTerm(Vector<Term> obj1, Vector<Term> obj2)
      Description copied from interface: RealVectorNorm
      The distance between the two objects as a term.
      Specified by:
      distanceTerm in interface RealVectorNorm
      Parameters:
      obj1 - some terms
      obj2 - some terms
      Returns:
      the distance between the two objects as a term