- H(double[]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates the entropy of a PMF array.
- H(ProbDist) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates the entropy of a probability distribution.
- H(double[], double[][]) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates the conditional entropy of a channel matrix
given an input PMF.
- H(ProbDist, Channel) - Static method in class bham.leakiest.infotheory.ShannonEntropy
-
Calculates the conditional entropy of a channel
given an input probability distribution.
- hasSufficientInputs() - Method in class bham.leakiest.Observations
-
Tests whether the number of unique inputs recorded in this Observations
object is sufficient for estimating mutual information.
- hasSufficientOutputs() - Method in class bham.leakiest.Observations
-
Tests whether the number of unique outputs recorded in this Observations
object is sufficient for estimating mutual information.
- hasSufficientSamplesForMEL(Observations, int) - Static method in class bham.leakiest.infotheory.MinEntropy
-
Tests whether the sample size recorded in this Observations object
is sufficient for estimating min-entropy leakage.
- hasSufficientSamplesForMEL() - Method in class bham.leakiest.Observations
-
Tests whether the sample size recorded in this Observations object
is sufficient for estimating min-entropy leakage.
- hasSufficientSamplesForMI() - Method in class bham.leakiest.Observations
-
Tests whether the sample size recorded in this Observations object
is sufficient for estimating mutual information.
- HgMin(ProbDist, GainFunction, Set<String>) - Static method in class bham.leakiest.CompositionalEstimate
-
Returns Hg^min(pd) = - log min { pd[x] g(w, x) | x in X, w in W, pd[x] g(w, x) != 0 }.
- HMinInf(ProbDist) - Static method in class bham.leakiest.CompositionalEstimate
-
Returns H^min(pd) = - log min { pd[x] | x in support(pd) }.